Skip to main navigation Skip to main content
  • KSBS
  • E-Submission

Plant Breed. Biotech. : Plant Breeding and Biotechnology

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Page Path

70
results for

"Genetic"

Article category

Keywords

Publication year

Authors

"Genetic"

Research Articles

Genetic Identification of Yellow Rust Disease Resistance in Bread Wheat (Triticum aestivum L.) Samples Using DNA Markers
D.Sh. Shokirova, A.N. Kholikov, Kh.S. To, rakulov, S.K. Meliev, Sh.A. Samanov, A.A. Dulanazarov, M.V. Turdaliev, N.Y. Azizov, A.A. Dolimov
Plant Breed. Biotech. 2026;14:139-151.
Published online May 12, 2026
DOI: https://doi.org/10.9787/PBB.2026.14.139

In this study, molecular-genetic analyses were carried out to identify resistance to yellow rust (Puccinia striiformis f. sp. tritici) in soft wheat (Triticum aestivum L.) samples. Yellow rust is one of the most destructive diseases of wheat worldwide, causing significant yield losses and posing a serious threat to global food security, particularly under changing climatic conditions. The disease is also highly prevalent in Central Asian countries, including Uzbekistan and Tajikistan, where wheat is a staple crop and ensuring stable production is of strategic importance. A total of 68 wheat genotypes were examined and genotyped using 42 highly polymorphic DNA markers. Based on the obtained phenotypic and genotypic data, association analysis was performed using the TASSEL and STRUCTURE programs. To identify genetic associations, GLM (General Linear Model) and MLM (Mixed Linear Model) statistical models were applied. The analysis revealed that the following markers showed significant and reliable associations with yellow rust resistance: Barc0187 (p=0.0040), Gwm340 (p=0.0043), Barc008 (p=0.0132), and Gwm111 (p=0.0147). These markers are recommended as reliable molecular indicators for identifying yellow rust-resistant genotypes and for improving marker-assisted selection (MAS) strategies in future wheat breeding programs.

  • 43 View
  • 2 Download
Heritability, Correlation, and Path Analysis for Selecting Superior Purple Winged Bean Genotypes (Psophocarpus tetragonolobus L.)
Izmi Yulianah, Arif Muhammad Fauzy, Aji Bimantoro, Beatrix Avista Tyas Pramuadi, Amrul Mubarok, Kuswanto
Plant Breed. Biotech. 2026;14:88-100.
Published online April 22, 2026
DOI: https://doi.org/10.9787/PBB.2026.14.88

Winged bean (Psophocarpus tetragonolobus L.) is a nutrient-rich tropical legume with considerable potential to improve food security in tropical regions. However, breeding programs for purple-podded winged bean remain limited due to insufficient information on key genetic parameters. This study aimed to assess heritability, expected genetic gain, trait correlations, and path analysis in advanced purple-podded winged bean lines. Ten breeding lines derived from crosses of Indonesian landraces were evaluated using a randomized complete block design with three replications. Traits observed included days to flowering, days to harvest, fruit set, pod width, pod length, pod weight, pod weight per plant, number of seeds per pod, and yield potential. The results revealed high broad-sense heritability (>0.5) for all traits, with the highest values observed for pod length (0.96), pod width (0.95), and fruit set (0.90). Expected genetic gain was highest for fruit set (35.20%), pod weight per plant (34.44%), and yield potential (34.44%). Correlation analysis indicated strong positive relationships between days to flowering and days to harvest (r = 0.90), while yield potential showed a perfect correlation with pod weight per plant (r = 1.00). Path analysis revealed positive direct effects of fruit set (0.478) and pod weight (0.310) on pod weight per plant, whereas number of seeds per pod had a negative direct effect (-0.429). Genotypes MNN 1122 and PLB 2324 exhibited the highest yield potentials (8.58 and 7.63 t ha-1, respectively). These findings provide important genetic insights for the development of high-yielding purple-podded winged bean varieties.

  • 34 View
  • 2 Download
Effects of Citrus (Citrus spp.) Genotype and Carbohydrate Source Composition on Callus Growth and Somatic Embryogenesis and Recovery of the Plant Regeneration Ability
Seong Beom Jin, Dong Hoon Lee, Suk Man Park, Young Eel Moon, Jee-Soo Park
Plant Breed. Biotech. 2026;14:1-18.
Published online February 5, 2026
DOI: https://doi.org/10.9787/PBB.2026.14.1

Carbohydrates and genetic factors influence cell division in citrus fruits from ovule cultures. Here, we investigated the effects of various carbohydrate sources (sorbitol, maltose, galactose, and lactose) on cell proliferation, somatic embryogenesis, and plant regeneration in three Citrus unshiu cultivars (‘Miyagawa wase’ [MW], ‘Haryejosaeng’ [HW], and ‘Nankan 20 gou’ [NW]), and one C. reticulata cultivar (‘Ootaponkan’ [PM]). In PM, carbohydrate sources did not affect proliferation; MW showed a significant but marginal increase in media containing 300 mM mannitol. It also proliferated well in media supplemented with 300 mM sorbitol and a mixture of galactose and lactose. NW achieved the best rate with 100 mM mannitol and 146 mM lactose, whereas HW proliferated well with 100 mM mannitol alone. Phylogenetic analysis using 18 citrus varieties showed distinct genetic differences among the cultivars, suggesting that the differences in regeneration capacities in different carbohydrate sources could be attributed to their genetic differences. This study provides valuable insights for optimizing tissue culture protocols for mandarin varieties and may enhance the efficiency of citrus breeding and tissue culture applications.

  • 106 View
  • 5 Download
Genetic Divesity of Black Sapote (Diospyros digyna Jacq.) as Revealed by RAPD Markers
Endang Yuniastuti, Fiska Elvina Oktin, Sukaya, Norazrin Ariffin
Plant Breed. Biotech. 2025;13:243-251.
Published online October 28, 2025
DOI: https://doi.org/10.9787/PBB.2025.13.243

Black sapote (Diospyros digyna Jacq.) is a fruit that is rich in benefits and has high economic value. However, the sex of this plant is difficult to determine early, and data on the plant is still very limited. This qualitative quantitative research was conducted to identify the genetic diversity of black sapote based on RAPD marker to determine the sex of black sapote plants. The sample used consisted of seven black sapote accessions with sample codes including P, M1, M2, M3, F1, F2, and F3. This research consists of several stages, namely DNA extraction and PCR amplification using six RAPD primers (OPA 02, OPA 05, OPA 08, OPA 09, OPC 09, and OPD 15), including electrophoresis to visualize amplified DNA. Data were analyzed using NTSYS 2.02 software and dendogram were obtained using the UPGMA method in the SAHN function. The results of the analysis showed that the polymorphism resulting from the seven black sapote accessions ranged from 50–80%, with PIC (Polymorphic Information Content) values ranging from 0.28–0.50. The closest related accessions are M1 with F2, while accession P with F2 has the highest genetic diversity. The OPA 02 primer with a band measuring 380 bp can be used as a putative marker in the determination of the female sex and hermaphrodite of black sapote plants.

  • 10 View
  • 1 Download

Article

Genetic Control of Resistance Mechanisms Toward Brown Planthopper in Rice
Afifuddin Latif Adiredjo, Iwan Kiswanto
Plant Breed. Biotech. 2025;13:1-4.
Published online February 11, 2025
DOI: https://doi.org/10.9787/PBB.2025.13.1

The genetic control of rice resistance has been extensively studied, but how the resistance mechanism is genetically controlled has received less attention. This study revealed that the rice resistance mechanism toward brown planthopper was genetically controlled by several genes with several mendelian patterns. The tolerance mechanism is controlled by three complementary genes; this is confirmed by QTL analysis, whereas the Antibiosis is controlled by three separate loci on chromosomes 2, 8, and 11. The antixenosis was controlled by polygenic, but detected locus only on chromosome 3, with minor effects.

Citations

Citations to this article as recorded by  
  • ‘Drimi9ho’, A Lodging Tolerance with Mid-late Maturing, Improved White-backed Planthopper (Sogatella furcifera) and Cultivation Stability
    Jae-Ryoung Park, Eun-Gyeong Kim, Yoon-Hee Jang, Kyung-Min Kim
    Korean Journal of Breeding Science.2025; 57(4): 493.     CrossRef
  • 67 View
  • 3 Download
  • 1 Crossref

Research Articles

Genetic Diversity Analysis and DNA Fingerprinting of Bread Wheat (Triticum Aestivum L.) Cultivars in Uzbekistan Using SSR Markers
Jurabek K. Norbekov, Naim N. Khusenov, Ilkhom B. Salokhutdinov, Ilyos S. Normamatov, Umid A. Boykobilov, Ravshan I. Muxammadaliyev, Maftuna M. Kholmuradova, Abdusalom Kh. Makamov, Ozod S. Turaev, Dilrabo K. Ernazarova, Fakhriddin N. Kushanov, Zabardast T. Buriev
Plant Breed. Biotech. 2024;12:193-209.   Published online December 24, 2024
DOI: https://doi.org/10.9787/PBB.2024.12.193

Bread wheat (Triticum aestivum L.) is a fundamental crop worldwide, playing a crucial role in ensuring food security for human beings. Understanding the genetic diversity of wheat cultivars and developing genetic passports through DNA fingerprinting is essential for preventing varietal duplication enhancing breeding diversity and protecting breeders' rights globally. This study investigated the genetic diversity, phylogenetic relationships, and allelic frequencies of 32 Uzbekistan bread wheat cultivars using 66 polymorphic simple sequence repeat (SSR) markers. Unique marker alleles were identified and used to develop genetic passports for the cultivars. The results showed that the primers Barc181, Wmc522, Wmc407, Wms18, Cfa2201, Wms294, Cfd76, Wmc73, Wmc486, Cfa220, Wmc314, And Wms495 are reliable SSR markers for assessing genetic polymorphism in Uzbek wheat cultivars.

Citations

Citations to this article as recorded by  
  • Genetic analysis of fusarium wilt resistance in Upland cotton germplasm ( Gossypium hirsutum L.)
    Naim N. Khusenov, Jurabek K. Norbekov, Umid A. Boykobilov, Zebo S. Yuldosheva, Ilyos S. Normamatov, Abdusalom Kh. Makamov, Mirzakamol S. Ayubov, Mukhtor M. Darmanov, Akmal M. Asrorov, Zabardast T. Buriev, Maftuna U. Makhmudova, Ozod S. Turaev, John Z. Yu,
    Journal of Plant Interactions.2025;[Epub]     CrossRef
  • 26 View
  • 0 Download
  • 1 Crossref
Development of EMS Mutagenized Wheat Mutant Lines Resistant to Fusarium Crown Rot and Fusarium Head Blight
Kahsay Tadesse Mawcha, Dennis Ndolo, Wenxiang Yang, Olubukola Oluranti Babalola
Plant Breed. Biotech. 2024;12:98-121.   Published online September 13, 2024
DOI: https://doi.org/10.9787/PBB.2024.12.98

Plant breeding relies on genetic variation to produce new and improved cultivars. One way to obtain novel traits is by inducing mutations. The present study aimed to create a Fusarium crown rot (FCR) and Fusarium head blight (FHB)-resistant mutagenized wheat population using ethyl methane sulphonate (EMS) and identify mutant resistance to FCR and FHB, which could provide a starting point for resistance breeding. The optimal mutagenesis conditions were determined based on the germination percentage. This study used six Chinese wheat cultivars, namely Jimai22, Hengguan35, Shixin828, Gaoyou2018, Keiwei20, and Keiwei18, to create a mutant population by treating them with EMS. For Shixin828, the optimal condition was 0.8% EMS with a 50-55% germination rate. For Hengguan35 and Jimai22, it was 0.6% EMS. For Gaoyou2018 and Kewei20, it was 0.8% and 0.4-0.6%, respectively. The FCR disease index of the mutant lines (M1) ranged from 10.00 to 77.67. For M2, the number of individual mutant plants demonstrating resistance to FCR varied from 76 to 102. In M3, 570 healthy plants were obtained using various EMS concentrations. The mutant line Kewei18 demonstrated the most resistance to FCR, FHB, and Deoxynivalenol (DON) infection. Kewei20 mutants had a higher FHB susceptibility than other mutants. Overall, mutants from the Kewei18 genetic background displayed better disease resistance to both diseases and DON contamination than natural plants. Mutants with or moderate resistance to FCR and FHB could be used in breeding and genetic studies to identify FHB and FCR-resistant Quantitative Trait Locus (QTL) in wheat.

Citations

Citations to this article as recorded by  
  • Mutation breeding: an underutilized strategy for improving finger millet productivity and nutritional quality
    Maltase Mutanda, Sandiswa Figlan, Nemera G. Shargie, Eastonce T. Gwata
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • GAMMA RAY-INDUCED MUTAGENESIS IN FORAGE CROPS: A BIBLIOMETRIC ANALYSIS
    B Putra, Harmini -, J Sirait, J Nulik, D.K. Hau, S Bahar, W Darwiati, D.J. Polakitan, Zubir -, S Agustini, R.F. Suneth, R.A. Saptati, K Simanihuruk
    The Journal of Animal and Plant Sciences.2025; (1): 1.     CrossRef
  • Enhancing drought tolerance in malting and forage barley through mutagenesis
    Dianey Celeste Cruz-Muñoz, Myriam Guadalupe Rodríguez-Gandarilla, Miguel Angel Avila-Perches, Rafael Urrea-López, Julio Armando Massange-Sánchez
    Journal of Crop Science and Biotechnology.2025; 28(4): 521.     CrossRef
  • 17 View
  • 0 Download
  • 3 Crossref
Assessment of Genetic Relationship among Rhynchostylis Species based on Inter-Simple Sequence Repeat (ISSR) Markers
Juthaporn Saengprajak, Jirapa Phetsom, Aphidech Sangdee, Porntip Atichart, Sununta Chuncher, Piyada Theerakulpisut, Arnusorn Saengprajak, Sudarat Thanonkaew
Plant Breed. Biotech. 2024;12:69-81.   Published online July 17, 2024
DOI: https://doi.org/10.9787/PBB.2024.12.69

The genus Rhynchostylis contains important commercial orchids in Thailand with high diversity, but limited information is available regarding the genetic diversity of these orchids. Rhynchostylis has a short blooming period, which makes more difficult to distinguish between variations based only on their appearances. This study evaluated the genetic variation among six accessions of Rhynchostylis, along with one Vanda and one Aerides accession collected from different locations in the northeast of Thailand using 16 polymorphic inter-simple sequence repeat (ISSR) markers. The ISSR markers comprised 83 alleles with sizes ranging from 208 to 1,223 bp. The average number of alleles per locus was 5.19, with a standard deviation of 3.49. The average percentage of polymorphic bands was 95.21%. Polymorphism information content (PIC) values ranged between 0.05 and 0.44, with a mean average of 0.21. The calculated genetic similarity coefficients ranged from 0.383 to 0.914, suggesting a high level of genetic diversity among all the samples. UPGMA dendrograms were created using genetic similarity coefficients and divided into three main clusters. Cluster I contained four closely related R. gigantea orchids. Cluster II comprised two accessions, R. gigantea var. vivaphandhul and V. coelestis, while Cluster III contained two accessions of R. retusa and A. houlettiana. Based on ISSR data, the genetic similarities among the 8 orchid accessions do not correlate with flower color phenotypes and sampling locations, except for Cluster I. The results suggest that ISSR markers can effectively assess the genetic information of both wild and cultivated orchid resources. This study provides useful information for further development of novel markers specific to orchid varieties and for assisting the success of orchid breeding programs through the selection of parent plants.

Citations

Citations to this article as recorded by  
  • Phylogenetic relationship based on DNA barcodes and comparative analysis of phytochemical contents among Rhynchostylis orchids in Thailand
    Juthaporn Saengprajak, Jirapa Phetsom, Aphidech Sangdee, Arnusorn Saengprajak, Thanwanit Thanyasiriwat, Wuttipong Mahakham
    Scientific Reports.2026;[Epub]     CrossRef
  • Development of ISSR-derived SCAR markers for precise identification and conservation of Rhynchostylis gigantea and its variety rubrum in Thailand
    Juthaporn Saengprajak, Thanwanit Thanyasiriwat, Arnusorn Saengprajak, Aphidech Sangdee
    South African Journal of Botany.2026; 189: 551.     CrossRef
  • 21 View
  • 0 Download
  • 2 Crossref

Hybridization studies and reciprocal crosses were carried out on Basella alba var alba and Basella alba var rubra morphotypes in the family Basellaceae collected from various locations in the southwestern part of Nigeria. This was done to ascertain the possibility of gene exchange between the morphotypes and to examine the performance of the F1 hybrids produced in other to help in their genetic improvement. A total of 300 crosses were carried out between the Basella alba and Basella rubra morphotypes studied. From the Basella alba × Basella rubra 150 crosses, 19 individuals were raised out of which two did not grow beyond two leave stage. The hybrids had purple pigmentation. From the reciprocal 150 Basella rubra × Basella alba crosses, 21 hybrids were raised of which 3 failed to germinate beyond two leave stage and all the remaining had red pigmentation. The F1 hybrids obtained from the crosses showed no significant difference with the parents in the vegetative and reproductive characters studied. The hybrids obtained were not significantly different irrespective of the choice of maternal parent as the red pigmentation was dominant. It was concluded that the hybrids showed no clear superiority compared with the parents except that it matured earlier under our environmental conditions.

Citations

Citations to this article as recorded by  
  • Genetic diversity assessment of accessions of Basella alba var alba and Basella alba var rubra morphotypes using vegetative and reproductive trait
    Isaac Oluwatobi Adeniran, Abolade Oluremi Bolaji
    International Journal of Vegetable Science.2024; 30(2): 163.     CrossRef
  • 22 View
  • 3 Download
  • 1 Crossref
Association Study for Drought Tolerance of Flint Maize Inbred Lines Using SSR Markers
Kyu Jin Sa, Hyeon Park, Zhenyu Fu, So Jung Jang, Ju-Kyong Lee
Plant Breed. Biotech. 2022;10(4):257-271.   Published online December 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.4.257

Drought tolerance is derived from complex quantitative traits that are associated with different shoot and root morphological characters. This study assessed the genetic and phenotypic variation of 12 maize inbred lines and performed association analysis of 11 drought-related traits using 360 simple sequence repeats (SSRs), detecting 1,604 alleles, with an average of 4.4 alleles per locus. The average values of gene diversity (GD) and polymorphism information content (PIC) were 0.648 and 0.598, respectively. In principal component analysis (PCA), shoot fresh weight (SFW), shoot dry weight (SDW), stem weight (SW), leaf weight (LW), root fresh weight (RFW), root dry weight (RDW), and leaf area (LA) traits contributed greatly to the PCA. Association analysis was performed using a general linear model with a Q-matrix (Q GLM) and a mixed linear model with Q and K-matrices (Q + K MLM). Twelve SSR markers for drought tolerance trait were detected by Q GLM, and all maize inbred lines were clearly divided into two groups in accordance with their drought tolerance. Duplicated significant marker-trait associations (SMTAs) between Q GLM and Q + K MLM identified eight marker-trait associations involving four SSR markers that were associated with the traits of SW, SFW, RFW, and RDW with a significant level of P < 0.05. The umc1175 and umc2092 were associated with SW and SFW; umc1503 was associated with RFW, SFW, and SW; and umc2341 was associated with RDW. The detection of loci associated with drought-related traits in this study may provide better opportunities to improve maize drought tolerance by marker-assisted selection (MAS).

Citations

Citations to this article as recorded by  
  • Using Flint Maize for Developing New Hybrids: A Case Study in Romania
    Roxana Elena Călugăr, Andrei Varga, Carmen Daniela Vana, Loredana Ancuța Ceclan, Felicia Chețan, Andras Fodor, Nicolae Tritean
    Agronomy.2025; 15(9): 2215.     CrossRef
  • Leveraging Multiomics Insights and Exploiting Wild Relatives’ Potential for Drought and Heat Tolerance in Maize
    Shakra Jamil, Shakeel Ahmad, Rahil Shahzad, Noroza Umer, Shamsa Kanwal, Hafiz Mamoon Rehman, Iqrar Ahmad Rana, Rana Muhammad Atif
    Journal of Agricultural and Food Chemistry.2024; 72(29): 16048.     CrossRef
  • Association Mapping for Evaluation of Population Structure, Genetic Diversity, and Physiochemical Traits in Drought-Stressed Maize Germplasm Using SSR Markers
    Muhammad Zahaib Ilyas, Hyeon Park, So Jung Jang, Jungeun Cho, Kyu Jin Sa, Ju Kyong Lee
    Plants.2023; 12(24): 4092.     CrossRef
  • Uncovering microsatellite markers associated with agronomic traits of South Sudan landrace maize
    Emmanuel Andrea Mathiang, Hyeon Park, So Jung Jang, Jungeun Cho, Tae Hyeon Heo, Ju Kyong Lee
    Genes & Genomics.2023; 45(12): 1587.     CrossRef
  • 8 View
  • 1 Download
  • 4 Crossref

Review Article

Genetic Analysis of Coffee (Coffea arabica L.) Genotypes in Zimbabwe Using Morphological Traits
Pardon Chidoko, Caleb Mahoya, Samson Tarusenga, Dumisani Kutywayo
Plant Breed. Biotech. 2022;10(4):212-223.   Published online December 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.4.212

The coffee value chain is a source of livelihood for millions of people across the world and yet the resilience of coffee is limited by the relatively narrow genetic base among commercial coffee cultivars. A study was conducted to determine genetic variation, heritability estimates and relationships among coffee genotypes in Zimbabwe. Quantitative morphological characteristics of twelve genotypes were recorded under field conditions. There were significant variations in coffee yield, plant height, stem girth, number of primary branches, number of bearing branches, internode length and leaf characteristics, with no significant variations in seed characteristics and number of nodes. Broad sense heritability estimates for the quantitative traits ranged from 0.03% to 91.4%, being highest for plant height, coffee yield, stem girth, leaf length and leaf area. The implications are that coffee yield and plant height are independent of significant environmental influences while seed, branching traits and leaf traits are influenced by the environment in their expression. Yield was significantly correlated to branches per plant, plant height, seed traits and stem girth. Clustering of genotypes was influenced by plant height, yield and stem girth. Overall, few traits were important in distinguishing coffee genotypes, implying narrow diversity. Hybridization, further introductions from other producer countries, coffee gene banks and/or introductions from the wild, and concerted germplasm conservation efforts are recommended.

Citations

Citations to this article as recorded by  
  • Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs
    Matheus Massariol Suela, Camila Ferreira Azevedo, Ana Carolina Campana Nascimento, Eveline Teixeira Caixeta Moura, Antônio Carlos Baião de Oliveira, Gota Morota, Moysés Nascimento
    Agronomy.2025; 15(7): 1686.     CrossRef
  • Towards a minimum number of key flower traits in studies of Coffea spp. phenotype variability
    Larícia Olária Emerick Silva, Maria Juliete Lucindo Rodrigues, Rafael Nunes de Almeida, José Nobre Semedo, Miroslava Rakocevic, Fábio Luiz Partelli
    Scientia Horticulturae.2024; 337: 113513.     CrossRef
  • 18 View
  • 2 Download
  • 2 Crossref

Research Articles

Agronomic Traits of a New Soybean Germplasm with Higher Ratio of Four-seeded Pods
Hyun Jo, Ammala Namsavanh, Changwan Woo, Hwayeop Kim, Syada Nizer Sultana, Jong Tae Song, Jeong-Dong Lee
Plant Breed. Biotech. 2022;10(3):197-202.   Published online August 31, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.3.197

The number of four-seeded pods is a plant trait that is of great interest in terms of increasing soybean production. The
objective
of this study was to understand the agronomic characteristics of four-seeded pods of FS1159, which contain a significantly higher ratio of four-seeded pods than do other genotypes. FS1159 showed a significantly lower ratio of one- and two-seeded pods and a significantly higher ratio of three- (39.6%) and four- (11.3%) seeded pods than did the four check soybeans. The average values of the traits of FS1159 in this study were: plant height, 58.1 cm; the number of nodes, 15.7; the number of branches, 6.5; and 100-seed weight, 20.3 g. These results indicate that FS1159 can be used as a new genetic resource to explore the traits of four-seeded-pod and improve the soybean yield.

  • 30 View
  • 0 Download
High-Throughput Digital Genotyping Tools for Panax ginseng Based on Diversity among 44 Complete Plastid Genomes
Woojong Jang, Yeeun Jang, Woohyeon Cho, Sae Hyun Lee, Hyeonah Shim, Jee Young Park, Jiang Xu, Xiaofeng Shen, Baosheng Liao, Ick-Hyun Jo, Young Chang Kim, Tae-Jin Yang
Plant Breed. Biotech. 2022;10(3):174-185.   Published online August 31, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.3.174

Cultivation of the medicinal herb Panax ginseng Meyer began by domesticating wild mountain ginsengs several hundred years ago in Korea. Elucidating the diversity of the maternally inherited plastid genome (plastome) in diverse ginseng collections including wild ginsengs would provide valuable information on ginseng breeding and cultivation history. We sequenced and compared the plastomes of 44 ginseng accessions collected from various Northeast Asian countries. The plastomes revealed 18 polymorphic sites, including 11 SNPs and 7 InDels, which portrayed less diversity than in the most closely related species, P. quinquefolius. We developed 10 kompetitive allele-specific PCR (KASP) markers and utilized them along with four previously developed InDel markers to characterize the genotypes of 203 ginseng accessions. Digital genotyping based on the developed KASP markers classified the accessions into 10 main and 2 branching haplotypes. Four InDel markers derived from different copy numbers of tandem repeats showed dynamic subgrouping within the haplotypes due to the occurrence of multi-alleles and reversible mutations. The digital haplotype genotyping (haplotyping) revealed that haplotype A, representing 60.1% of the accessions, might be the original plastome form without any SNP occurrence. Accumulation patterns of the variations suggest that nine main haplotypes (B-J) diverged independently by new SNP occurrences from the original plastome, and branching haplotypes may have derived from the first mutant lineage by additional SNP deposition. The digital haplotyping system based on plastome diversity deepens understanding of ginseng evolution and serves as a useful molecular breeding tool.

Citations

Citations to this article as recorded by  
  • PCR-Based Molecular Authentication Method for Sources of Agrimoniae Herba via Comparative Analyses of Complete Chloroplast Genomes
    Woojong Jang, Sae Hyun Lee, Wook Jin Kim, Sungyu Yang, Byeong Cheol Moon
    International Journal of Molecular Sciences.2025; 26(22): 11189.     CrossRef
  • Development and authentication of Panax ginseng cv. Sunhong with high yield and multiple tolerance to heat damage, rusty roots and lodging
    Jiho Seo, Joon-Soo Lee, Sung-Lye Shim, Jun-Gyo In, Chol-Soo Park, Yong-Jae Lee, Hee-Jun Ahn
    Horticulture, Environment, and Biotechnology.2023; 64(5): 753.     CrossRef
  • The current research progress of ginseng species: The cultivation and application
    Kaimei Zhang, Shengai Zhang, Atsushi Ebihara, Xiaoqi Zhou, Likun Fan, Pengfei Li, Zhuqi Zhang, Yuyan Wang, Yu Shen
    Cogent Food & Agriculture.2023;[Epub]     CrossRef
  • In Vitro Cultivation and Ginsenosides Accumulation in Panax ginseng: A Review
    Fengjiao Xu, Anjali Kariyarath Valappil, Ramya Mathiyalagan, Thi Ngoc Anh Tran, Zelika Mega Ramadhania, Muhammad Awais, Deok Chun Yang
    Plants.2023; 12(17): 3165.     CrossRef
  • 21 View
  • 0 Download
  • 4 Crossref
Development of SNP Markers for Identification of Squash F1 Hybrid Cultivars Using Fluidigm-Based Genotyping
Jong-Geun Park, Jeong-Eui Hong, Md Abdur Rahim, Ill-Sup Nou
Plant Breed. Biotech. 2022;10(3):163-173.   Published online August 31, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.3.163

Squash (Cucurbita moschata D.) is an economically important vegetable of the Cucurbitaceae family. The genetic purity of commercial hybrid seed is crucial for the success of hybrid seed production. The molecular markers like single nucleotide polymorphism (SNP) can efficiently and cost-effectively distinguish the genetic differences among F1 hybrid cultivars. Therefore, in this study, we used ‘Fluidigm SNP Genotyping’ assay using 27 SNPs to distinguish and purity analysis of registered commercial F1 hybrid cultivars and F1 breeding lines of squash. Of these, eight SNP markers, including CMo-A01, CMo-A02, CMo-A04, CMo-A05, CMo-A12, CMo-A16, CMo-A20 and CMo-A25 can successfully identified heterozygotes from the registered commercial F1 hybrid squash cultivars with 100% accuracy and partial contamination was detected for F1 hybrid squash breeding lines which resulted due to outcrossing. Moreover, the HRM analysis of a registered commercial F1 hybrid cultivar ‘Parangsae’ with CMo-A03 SNP marker showed 96.30-100% purity of the cultivar. Our results suggest that the ‘Fluidigm SNP Genotyping’ technology could be a rapid and cost-effective method for cultivar differentiation and genetic purity analysis of F1 hybrids and squash cultivars.

Citations

Citations to this article as recorded by  
  • Unlocking the Potential of Cucurbitaceae Seed Oils: A Narrative Review on Phytochemical, Pharmacological, and Biotechnological Applications
    Boniface Anthony Ale, Peter Chinedu Agu, Patrick Maduabuchi Aja
    Natural Product Communications.2026;[Epub]     CrossRef
  • 12 View
  • 0 Download
  • 1 Crossref
Genetic Variability and Gene Action for Several Traits in F4 and F5 Population of Rice
Noer-Rahmi Ardiarini, Damanhuri, Afifuddin-Latif Adiredjo
Plant Breed. Biotech. 2022;10(1):31-36.   Published online March 28, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.1.31

This study estimated the genetic variability and gene action of several traits in the F4 and F5 rice populations to determine a trait for selection program. The trait of date to flowering and date to harvesting had narrow genetic variability, whereas trait productive tillers, number of fertile grain, and total grains had moderate to wide genetic variability. Genetic variability in trait number of fertile grain and total grains showed decreased in F5 generation compare to the F4 generation, whereas trait productive tillers, date to flowering, and date to harvesting showed an increase. Additive gene action with duplicate and complementary epistasis was found in all traits, except for trait productive tillers only showed additive gene action with duplicate epistasis. Kurtosis less than 3 was found in all traits which indicate many genes control the traits. The number of fertile grain trait showed wide genetic variability which decreased in F5 generation compare to the F4 generation, and there is an additive gene action with duplicate epistasis. It indicates selection will be effective with the trait of number of fertile grain.

Citations

Citations to this article as recorded by  
  • Genetic Purity Analysis Using Polymorphic SSR Markers in Rice Genotypes (Oryza sativa L.) and Their Confirmation for the Parental Lines
    Afifuddin Latif Adiredjo, Noer Rahmi Ardiarini, Damanhuri
    Plant Breeding and Biotechnology.2023; 11(3): 220.     CrossRef
  • 9 View
  • 0 Download
  • 1 Crossref

Review Article

Advances from Conventional to Modern Plant Breeding Methodologies
Sashi Lamichhane, Sapana Thapa
Plant Breed. Biotech. 2022;10(1):1-14.   Published online March 28, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.1.1

First initiation of breeding started thousands of years ago when human practiced selection based in visually appealing traits. Further, domestication of wild plants eased adaptation of plant breeding. With increase in population the demand for food also increased which resulted in development of various breeding methodologies. Conventional breeding is a selective breeding methodology where crops are selected based on superior performances. Pure-line selections, mass selection, back cross breeding, recurrent selection, hybridization were most famous traditional breeding methods. It is a longer breeding method and is over-dependent on phenotype of plants. However, phenotypes of a plant are affected by various externalities. So, selection based on phenotypic expression is not accurate. As a result, breeder started integrating various branches of biology in plant breeding and developed modern breeding practices. After Mendelian theory and identification of DNA and RNA, plant breeding diverted to molecular era. People started breeding based on less environmentally susceptible parameters like genotypes, visual and genetic markers, image analysis and loci mapping. Some of the most common modern breeding practices include genomic selection, markers assisted breeding, high throughput phenotyping and CRISPR-Cas9. Despite these, plant breeding has fired up the problems of gene erosion due to loss of local landraces and wild-type plants.

Citations

Citations to this article as recorded by  
  • Technological advances in trait development: from conventional breeding and untargeted mutagenesis to precision genome editing
    Ladan Ajdanian, Sylvain Villot, Benjamin Karikari, Davoud Torkamaneh
    Genome.2026; 69: 1.     CrossRef
  • 2-Hydroxy-4-Methoxybenzaldehyde (2H4MB): Integrating Cell Culture, Metabolic Engineering, and Intelligent Genome Editing
    Fatima Firdaus, Vikas Yadav, Muthusamy Ramakrishnan, Adla Wasi, Irfan Bashir Ganie, Anamica Upadhyay, Anwar Shahzad, Zishan Ahmad
    International Journal of Molecular Sciences.2026; 27(1): 503.     CrossRef
  • Precision breeding in a changing climate: unlocking resilience through omics and gene editing
    Tarali Borgohain, Remya Suma, Mantesh Muttappagol, Banashree Saikia, Arnika Keithellakpam, Adity Laskar, Shridhar Shivakumar Hiremath, Udita Basu, Natarajan Velmurugan, Sudhakar Reddy Palakolanu, Channakeshavaiah Chikkaputtaiah
    Functional & Integrative Genomics.2026;[Epub]     CrossRef
  • Bibliometric analysis of plant breeding research in Africa
    Israel Ogwuche Ogra, Seun Cecilia Joshua, Afolakemi Abibat Alimi, Oghogho Endurance Okpomor, Nicholas Benjamin Ajana, Blessing Tolulope Adeniji, Tobi Fadiji, Amin Elsadig Eltayeb, Umezuruike Linus Opara
    Discover Plants.2026;[Epub]     CrossRef
  • Factors affecting the genetic diversity of Lotus corniculatus in the Hemi-boreal zone of Baltic States and their agronomical implications
    Yaqoob Sultan, Izhar Ullah, Peter Paľove-Balang, Asif Mukhtiar, Muhammad Mudasir, Michaela Bačovčinová, Vilma Kemešyte, Aurelija Liatukiene, Giedrius Petrauskas, Eglė Norkevičienė
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Accelerating climate resilient agriculture through the integration of molecular breeding with genome editing and omics approaches
    Kndalem Yaregal Mersha, Meki Shehabu Muktar, Alemayehu Teressa Negawo, Mikias Wondimu Mulat, Fikru Mekonnen Abebe
    Discover Agriculture.2026;[Epub]     CrossRef
  • Advancing Breeding Strategies for Late Blight Resistance in Potatoes
    Zulfiqar Ali Sahito, Vikas Mangal, Oswald Nkurikiyimfura, Ibrahim M. Abouelgalagel, Sandeep Kumar Singh, Salej Sood, Zhijian Zhao, Jianming Bai, Zhechao Pan
    American Journal of Potato Research.2026;[Epub]     CrossRef
  • Modern Breeding Technologies for Fall Armyworm Management in Maize in Eastern Africa
    Lillian Noela Wesonga, Daniel Kwadjo Dzidzienyo, Wilfred Abincha, Beatrice Elohor Ifie, Mwimali Murenga
    Journal of Applied Entomology.2026; 150(6): 838.     CrossRef
  • Practical application of SSR-markers in flax breeding (Linum usitatissimum L.)
    T. A. Bazanov, I. V. Ushapovsky, T. A. Rozhmina, N. N. Loginova, E. V. Minina, P. D. Veresova
    Agricultural Science Euro-North-East.2026; 26(6): 1251.     CrossRef
  • Modern genomic and omics-based technologies for millet breeding and genetic improvement
    Anand Kumar, Pandiyan Muthuramalingam, Laxmidas Verma, Reetesh Kumar, Naveen Kumar, Jyotsna Misra, Karthikeyan Ravi, Hyunsuk Shin, Manikandan Ramesh
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Comparative Transcriptomic Analysis of High- and Low-Protein Wheat Lines Reveals Differential Nitrogen Responses at the Seedling Stage
    Min Jeong Hong, Chul Soo Park, Dae Yeon Kim
    Agronomy.2026; 16(6): 628.     CrossRef
  • Integrating Hybrid and Molecular Breeding as Approaches in Vegetable Breeding Strategies
    Janko Červenski, Srđan Zec, Gordana Tamindžić, Dragana Miljaković, Jelena Marinković, Boris Adamović, Đorđe Vojnović, Aleksandra Ilić
    Horticulturae.2026; 12(6): 666.     CrossRef
  • Exploring Molecular Mechanisms in Wheat against Drought Stress from Sustainable Resilience Strategies To Emerging Innovative Approaches
    Kiran Kharb, Sukhminderjit Kaur, Babita Thakur
    Current Microbiology.2026;[Epub]     CrossRef
  • Advancing okra (Abelmoschus esculentus L. Moench) breeding to unlock inherent multi-stress resistance for efficiency and sustainability in agriculture
    Phetole Mangena, Abe Shegro Gerrano, Mariette Truter, Lucy Molatudi, Mbali Thembi Gumede, Lindiwe Khoza, Milcah Masemola, Melvin Nyathi, Abueng Moalafi
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Barley (Hordeum vulgare L.) malt quality: from historical practices to contemporary biotechnological advances
    Shalu Yadav, Dinesh Kumar, Alka Jangra, Garima Sharma, Santosh Kumar Bishnoi, Ravinder Kumar, Anil Kumar, Vinod Chhokar
    Cereal Research Communications.2026; 54(2): 723.     CrossRef
  • Microbiome-assisted plant breeding: integrating host-microbiome interactions into crop improvement
    Samala Manoj Kumar, Thamizh Vendan Ragupathy, Balachandar Dananjeyan, Chitdeshwari Thiyagarajan, Arul Loganathan, Sritharan Natarajan
    Archives of Microbiology.2026;[Epub]     CrossRef
  • Biofortified and functional rice: A critical review of nutritional enhancement and health benefits
    Syaidahtull Naseha Ibrahim, MacDalyna Esther Ronie, Ahmad Hazim Abdul Aziz, Wolyna Pindi, Jumardi Roslan, Noor Atiqah Aizan Abdul Kadir, Mohd Sani Sarjadi, Mohamad Khairi Zainol, Asep Awaludin Prihanto, Nicky Rahmana Putra, Mohd Sabrie Salim, Hasmadi Mama
    Food and Humanity.2026; 6: 101040.     CrossRef
  • Systematic review using PRISMA on CRISPR based genome editing and artificial intelligence approaches to enhance ornamental crops
    Mukesh Kumar, Veena Chaudhary, Vidisha Chaudhary, Ravi Kumar, Ujjwal Sirohi, Chetan Chauhan
    Discover Plants.2026;[Epub]     CrossRef
  • A Comprehensive Review on Vegetable Grafting: a Sustainable Approach to Boost Crop Growth, Development, and Yield Performance at High and Low N Status
    Firdes Ulas, Abdullah Ulas, Somayyeh Razzaghi, Yusuf Cem Yücel
    Journal of Crop Health.2026;[Epub]     CrossRef
  • Water soaking in strawberry (Fragaria × ananassa) has a polygenic background and is strongly influenced by environmental factors
    Diana Seidler, Moritz Knoche, Klaus Olbricht, Henryk Flachowsky, Ofere Francis Emeriewen
    BMC Plant Biology.2026;[Epub]     CrossRef
  • Effectiveness of epigenetics in addressing climate change effects and the growing food demand
    Samuel Obedgiu, Omar Gaoua, Syeda Maryam Zahid, Faduma Yasin Salad
    Discover Agriculture.2026;[Epub]     CrossRef
  • Biofortification of Sweetpotato (Ipomoea batatas [L.] Lam.) in Cuba
    Alfredo Morales, Iván Javier Pastrana Vargas, Dania Rodríguez, Federico Diaz, Peiyong Ma, Zhaodong Jia, Xiaofeng Bian, José Efraín González, Vaniert Ventura, Yoel Beovides, Adrian Rubio, Alay Jiménez, Orelvis Portal, Amparo Rosero
    Agriculture.2026; 16(13): 1403.     CrossRef
  • Improvement of Morkhor 60-3 Upland Rice Variety for Blast and Bacterial Blight Resistance Using Marker–Assisted Backcross Selection
    Sawinee Panmaha, Chaiwat Netpakdee, Tanawat Wongsa, Sompong Chankaew, Tidarat Monkham, Jirawat Sanitchon
    Agronomy.2025; 15(7): 1600.     CrossRef
  • High-temperature stress in wheat (Triticum aestivum L.): unfolding the impacts, tolerance and methods to mitigate the detrimental effects
    Kushal Kant Pant, Jai Naik, Sharmistha Barthakur, Vikas Chandra
    Cereal Research Communications.2025; 53(3): 1171.     CrossRef
  • Exploring differential radiosensitivity in soybean genotypes exposed to gamma rays and determining optimal doses for induced mutagenesis
    Vikrant Khare, S.K. Gupta, J.G. Manjaya
    Applied Radiation and Isotopes.2025; 220: 111778.     CrossRef
  • Aerospace Mutagenized Tea Tree Increases Rhizospheric Microorganisms, Enhances Nutrient Conversion Capacity and Promotes Growth
    Weiting Cheng, Yulin Wang, Yuhua Wang, Lei Hong, Miaoen Qiu, Yangxin Luo, Qi Zhang, Tingting Wang, Xiaoli Jia, Haibin Wang, Jianghua Ye
    Plants.2025; 14(7): 981.     CrossRef
  • Advancing nutritional quality in oilseed crops through genome editing: a comprehensive review
    Asmamaw Menelih, Abayeneh Girma, Aleka Aemiro
    GM Crops & Food.2025; 16(1): 709.     CrossRef
  • Updates on the Regulatory Framework of Edited Organisms in Brazil: A Molecular Revolution in Brazilian Agribusiness
    Nicolau B. da Cunha, Jaim J. da Silva Junior, Amanda M. M. Araújo, Ludmila R. de Souza, Michel L. Leite, Gabriel da S. Medina, Gustavo R. Rodriguez, Renan M. dos Anjos, Júlio C. M. Rodrigues, Fabrício F. Costa, Simoni C. Dias, Elíbio L. Rech, Giovanni R.
    Genes.2025; 16(5): 553.     CrossRef
  • Enhancing nitrogen use efficiency in agriculture by integrating agronomic practices and genetic advances
    Aamir Ali, Nida Jabeen, Rasulov Farruhbek, Zaid Chachar, Azhar Ali Laghari, Sadaruddin Chachar, Nazir Ahmed, Shoaib Ahmed, Zhenping Yang
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Enhancing Abiotic Stress Resilience in Mediterranean Woody Perennial Fruit Crops: Genetic, Epigenetic, and Microbial Molecular Perspectives in the Face of Climate Change
    Aliki Kapazoglou, Eleni Tani, Vasileios Papasotiropoulos, Sophia Letsiou, Maria Gerakari, Eleni Abraham, Penelope J. Bebeli
    International Journal of Molecular Sciences.2025; 26(7): 3160.     CrossRef
  • Genetic and molecular approaches for Fusarium wilt resistance in garden pea: advances and future outlook
    Neha Verma, Saurabh Yadav, Neha Rana, Rishabh Maheshwari, Manpreet Kaur, Priyanka Kumari, Parteek Kumar, Rajinder Kumar Dhall, Hira Singh, Priti Sharma, Parveen Chunneja
    Plant Molecular Biology.2025;[Epub]     CrossRef
  • A novel high‐throughput digital morphological phenotyping method for evaluating growth traits in rice
    Sorawich Pongpiyapaiboon, Kenji Aoki, Masatsugu Hashiguchi, Ryo Akashi, Yuji Kishima, Hidenori Tanaka
    The Plant Phenome Journal.2025;[Epub]     CrossRef
  • CRISPR-Cas9: Unraveling Genetic Secrets to Enhance Floral and Fruit Traits in Tomato
    S. Bhoomika, Shubham Rajaram Salunkhe, A. R. Sakthi, T. Saraswathi, S. Manonmani, M. Raveendran, M. Sudha
    Molecular Biotechnology.2025; 67(10): 3786.     CrossRef
  • Bioinformatics analysis and expression of the transcription factor MYC2 in Brassica napus in response to salt stress
    Alireza Mirzaei, Jamshid Fooladi, Bahman Fazeli-Nasab, Mansour Ghorbanpour
    Functional & Integrative Genomics.2025;[Epub]     CrossRef
  • Combining Traditional Breeding with Molecular Techniques: An Integrative Approach
    Md. Nahid Hasan, Tasmina Islam Simi, Sk Shoaibur Rahaman, Md. Abdur Rahim
    Phyton.2025; 94(8): 2313.     CrossRef
  • Unraveling the genetic architecture of anti-nutritional factors in soybean (Glycine max.) for nutritional enhancement
    Norberto Jose Palange, Tonny Obua, Julius Pyton Sserumaga, Enoch Wembabazi, Mildred Ochwo-Ssemakula, Emmanuel Amponsah Adjei, Isaac Onziga Dramadri, Richard Edema, Moses Matovu, Sharon Valerie Kweyu, Arfang Badji, Ephraim Nuwamanya, Phinehas Tukamuhabwa
    Scientific Reports.2025;[Epub]     CrossRef
  • Time‐Lapse Imaging Identifies Key Indicators of Brown Planthopper Damage Progression in Rice Varieties
    Nak Jung Choi, Kibon Ku, Sheikh Mansoor, Anh Tuan Le, Thanh Tuan Thai, E. M. B. M. Karunathilake, Jisoo Kim, Yong Suk Chung
    Entomological Research.2025;[Epub]     CrossRef
  • Navigating Climate Change: Exploring the Dynamics Between Plant–Soil Microbiomes and Their Impact on Plant Growth and Productivity
    Murad Muhammad, Abdul Wahab, Abdul Waheed, Khalid Rehman Hakeem, Heba Ibrahim Mohamed, Abdul Basit, Muhammad Danish Toor, Yong‐Hong Liu, Li Li, Wen‐Jun Li
    Global Change Biology.2025;[Epub]     CrossRef
  • Mutation breeding: an underutilized strategy for improving finger millet productivity and nutritional quality
    Maltase Mutanda, Sandiswa Figlan, Nemera G. Shargie, Eastonce T. Gwata
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • Recent Advances in Nitrogen Use Efficiency (NUE) Research in Wheat
    Min Jeong Hong, Dae Yeon Kim
    Korean Journal of Breeding Science.2025; 57(3): 251.     CrossRef
  • Breeding for resistance to maize streak virus: challenges, progress and future directions: a review
    Malven Mushayi, Hussein Shimelis, John Derera, Seltene Abady Tesfamariam
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • A review on yield improvement of the important oilseed sesame (Sesamum indicum L.) using biotechnology
    Anirban Jyoti Debnath, Dávid Ernst, Ľubomír Harenčár, Matúš Kučka, Debabrata Basu, Samir Ranjan Sikdar
    Plant Biotechnology Reports.2025; 19(6): 627.     CrossRef
  • Epigenome editing: a novel perspective towards ensuring global food security
    Swapnil Baraskar, Anuradha Chetukuri, Venkata Chanda Sameer Kumar, Satendra Mangrauthia
    The Nucleus.2025; 68(2): 341.     CrossRef
  • Genetic variability of anti-nutritional factors among soybean (Glycine max.) germplasm
    Norberto Jose Palange, Tonny Obua, Julius Pyton Sserumaga, Enoch Wembabazi, Mildred Ochwo-Ssemakula, Arfang Badji, Ephraim Nuwamanya, Isaac Onziga Dramadri, Richard Edema, Moses Matovu, Sharon Valerie Kweyu, Aurelio Macaringue, Antonio Maquil, Phinehas Tu
    Discover Agriculture.2025;[Epub]     CrossRef
  • Evolution of Sweet Potato (Ipomoea batatas [L.] Lam.) Breeding in Cuba
    Alfredo Morales, Peiyong Ma, Zhaodong Jia, Dania Rodríguez, Iván Javier Pastrana Vargas, Vaniert Ventura, José Efraín González, Orelvis Portal, Federico Diaz, Oscar Parrado Alvarez, Carina Cordero, Xiaofeng Bian
    Plants.2025; 14(13): 1911.     CrossRef
  • Building climate-resilient crops: genetic, environmental, and technological strategies for heat and drought stress tolerance
    Karine Prado, Bethany L Holland, Brian McSpadden Gardener, Peter K Lundquist, James P Santiago, Robert VanBuren, Seung Y Rhee, Donald Ort
    Journal of Experimental Botany.2025; 76(16): 4395.     CrossRef
  • Molecular breakthroughs in modern plant breeding techniques
    Mughair Abdul Aziz, Khaled Masmoudi
    Horticultural Plant Journal.2025; 11(1): 15.     CrossRef
  • Combating Root-Knot Nematodes (Meloidogyne spp.): From Molecular Mechanisms to Resistant Crops
    Himanshu Yadav, Philip A. Roberts, Damar Lopez-Arredondo
    Plants.2025; 14(9): 1321.     CrossRef
  • Cultivation factors affecting durum wheat performance under speed breeding conditions
    Merve Bayhan, Remzi Özkan, Önder Albayrak, Cuma Akıncı, Mehmet Yıldırım
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Breeding for Disease Resistance in Cucumber: Current Status, Genetic Insights, and Genomic Resources
    Simranjot Kaur, Shallu Thakur, Prerna Sabharwal, Geoffrey Meru
    Horticulturae.2025; 11(12): 1440.     CrossRef
  • Advances in barley germplasm diversity characterization through next-generation sequencing approach
    Bahman Panahi, Nahid Hosseinzadeh Gharajeh, Hossein Mohammadzadeh Jalaly
    Genetic Resources and Crop Evolution.2025; 72(4): 3829.     CrossRef
  • Perspectives of Genome Editing Mediated Haploid Inducer Systems in Legumes
    Yiqian Liu, Musazade Elshan, Geng Li, Xiao Han, Xiao Chen, Xianzhong Feng
    International Journal of Molecular Sciences.2025; 26(3): 1154.     CrossRef
  • Key Challenges and Potentials of Potato (Solanum tuberosum L.) Farming in Malaysia: A Mini Review
    Nur Farhanah Ishak, Zulaikha Mazlan
    Potato Research.2025; 68(3): 2733.     CrossRef
  • Trends in production, consumption, trade, and research of dry beans across the globe and Canada
    Mohsen Hesami, Mohsen Yoosefzadeh-Najafabadi
    Canadian Journal of Plant Science.2025; 105: 1.     CrossRef
  • Performance of four genomic selection methods using different heritability and QTL numbers
    Leonardo de Azevedo Peixoto, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Cosme Damião Cruz, Leonardo Lopes Bhering
    Pesquisa Agropecuária Brasileira.2024;[Epub]     CrossRef
  • Revolutionizing Crop Production: The Imperative of Speed Breeding Technology in Modern Crop Improvement

    Crop Breeding, Genetics and Genomics.2024;[Epub]     CrossRef
  • An insight into heat stress response and adaptive mechanism in cotton
    Washu Dev, Fahmida Sultana, Shoupu He, Muhammad Waqas, Daowu Hu, Isah Mansur Aminu, Xiaoli Geng, Xiongming Du
    Journal of Plant Physiology.2024; 302: 154324.     CrossRef
  • Perceptions of plant breeding methods–from ‘phenotypic selection’ to ‘genetic modification’ and ‘new breeding technologies’
    John R. Caradus
    New Zealand Journal of Agricultural Research.2024; 67(6): 621.     CrossRef
  • Understanding Modern Techniques and Tools to Revolutionize Plant Breeding for Sustainable Crop Improvement
    Muhammad Ahtisham, Zainab Obaid
    Premier Journal of Plant Biology.2024;[Epub]     CrossRef
  • Identifying Genetic Loci Determining Grain Yield Under Drought Stress in Rice (Oryza sativa L.)
    Helan Baby Thomas, Satish Verulkar, Toshi Agarwal, Ritu Saxena, Sunil Kumar Verma
    Journal of Agronomy and Crop Science.2024;[Epub]     CrossRef
  • Advancing crop disease resistance through genome editing: a promising approach for enhancing agricultural production
    Subaya Manzoor, Sajad Un Nabi, Tariq Rasool Rather, Gousia Gani, Zahoor Ahmad Mir, Ab Waheed Wani, Sajad Ali, Anshika Tyagi, Nazia Manzar
    Frontiers in Genome Editing.2024;[Epub]     CrossRef
  • Advances in genomic tools for plant breeding: harnessing DNA molecular markers, genomic selection, and genome editing
    Rahul Kumar, Sankar Prasad Das, Burhan Uddin Choudhury, Amit Kumar, Nitish Ranjan Prakash, Ramlakhan Verma, Mridul Chakraborti, Ayam Gangarani Devi, Bijoya Bhattacharjee, Rekha Das, Bapi Das, H. Lembisana Devi, Biswajit Das, Santoshi Rawat, Vinay Kumar Mi
    Biological Research.2024;[Epub]     CrossRef
  • Why Contexts Matter for Gender Equal Outcomes in Research-Based Plant Breeding: The Case of Maize in Nigeria
    Mastewal Yami, Martina Cavicchioli, Steven M. Cole, Tesfamicheal Wossen, Tahirou Abdoulaye
    Economic Botany.2024; 78(4): 445.     CrossRef
  • Unraveling varietal differences and nutraceutical potentials of Manjari Medika grape hybrid and its parents: An untargeted metabolomics study
    Sujata Chatterjee, Nasiruddin Shaikh, Niladri Sekhar Chatterjee, Amine Kassouf, Archana Dhole, Kaushik Banerjee
    Food and Humanity.2024; 2: 100285.     CrossRef
  • Metabolic Perspective on Soybean and Its Potential Impacts on Digital Breeding: An Updated Overview
    Vimalraj Mani, Soyoung Park, Kijong Lee, Jin A. Kim, Kihun Ha, Soo-Kwon Park, Sewon Park, Soo In Lee, Soojin Kwon, Sichul Lee
    Journal of Plant Biology.2024; 67(2): 87.     CrossRef
  • Recent Advances in Molecular Genetics of Onion
    Suman Sharma, Anil Khar, Jiffinvir S. Khosa, Subhankar Mandal, Subas Malla
    Horticulturae.2024; 10(3): 256.     CrossRef
  • Modern Technologies Provide New Opportunities for Somatic Hybridization in the Breeding of Woody Plants
    Shuping Liu, Xiaojie Li, Jiani Zhu, Yihong Jin, Chuizheng Xia, Bingsong Zheng, Cristian Silvestri, Fuqiang Cui
    Plants.2024; 13(18): 2539.     CrossRef
  • Breeding and Genomic Approaches towards Development of Fusarium Wilt Resistance in Chickpea
    Rakesh Kumar Yadav, Manoj Kumar Tripathi, Sushma Tiwari, Niraj Tripathi, Ruchi Asati, Vinod Patel, R. S. Sikarwar, Devendra K. Payasi
    Life.2023; 13(4): 988.     CrossRef
  • Research Advances in Wheat Breeding and Genetics for Powdery Mildew Resistance
    Myoung-Hui Lee, Sumin Hong, Kyeong-Min Kim, Yurim Kim, Sun-Hwa Kwak, Kyeong-Hoon Kim, Chon-Sik Kang, Chul Soo Park, Youngjun Mo, Changhyun Choi
    Korean Journal of Breeding Science.2023; 55(3): 218.     CrossRef
  • Research Advances in Biofortification and Bioavailability of Fe and Zn for Improving the Nutritional Value of Wheat
    Jinhee Park, Sumin Hong, Kyung-Hoon Kim, Kyung-Min Kim, Go-Eun Lee, Myoung-Goo Choi, Chon-Sik Kang, Youngjun Mo, Chul Soo Park, Changhyun Choi
    Korean Journal of Breeding Science.2023; 55(4): 325.     CrossRef
  • Nano-stevia interaction: Past, present, and future
    Muhammad Arslan Ahmad, Sadaf Chaudhary, Xu Deng, Mumtaz Cheema, Rabia Javed
    Plant Physiology and Biochemistry.2023; 201: 107807.     CrossRef
  • Delineation of Seed Transfer Zone for Pinus densiflora Using Provenance Tests and Climate Variables
    Yeong-Kon Woo, Kyungmi Lee, Kyu-Suk Kang
    Korean Journal of Breeding Science.2023; 55(3): 187.     CrossRef
  • Breeding techniques to dispense higher genetic gains
    Achala Anand, Madhumitha Subramanian, Debasish Kar
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Thermal neutron as a potential mutagen for induced plant mutation breeding: radiosensitivity response on wheat and rice
    Shivdas Tukaram Kadam, Gautam Vishwakarma, Yogesh Kashyap, Mayank Shukla, Tushar Roy, Parmeshwar Kumar Sahu, Deepak Sharma, Abhijit Shaligram Shitre, Vikash Kumar, Bikram Kishore Das
    Genetic Resources and Crop Evolution.2022;[Epub]     CrossRef
  • 22 View
  • 0 Download
  • 74 Crossref

Research Articles

Assessment of Genetic Diversity in Durum and Bread Wheat Genotypes Based on Drought Tolerance and SSR Markers
Mahmoud A. El-Rawy, Mohamed I. Hassan
Plant Breed. Biotech. 2021;9(2):89-103.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.89

Six durum and twelve bread wheat genotypes were evaluated under favorable and drought-stressed field conditions, and screened with thirty simple sequence repeats (SSR) markers. The traits studied were stomata frequency (STF), relative water content (RWC), flag leaf area (FLA), flag leaf weight (FLW), flag leaf dry matter content (FLD), chlorophyll a content (Chl.a), chlorophyll b content (Chl.b), grain yield/plant (GYP) and 1000-kerenl weight (TKW). Highly significant differences were observed among wheat genotypes for all the traits, indicating considerable genetic variation. Moderate to high broad-sense heritability estimates were observed for the studied traits. Under drought stress, GYP was positively correlated with RWC, FLA, FLW and TKW, whereas negatively correlated with STF. G3 (Svevo) and G6 (WK-12-1) were the most drought-tolerant durum wheat, whereas G11 (L.S-15) and G16 (SIDS-1) were the most drought-tolerant bread wheat genotypes. SSR markers analysis indicated considerable genetic variation between and within durum and bread wheat genotypes. The percentage of polymorphism ranged from 14.3% (Xgwm174-5D) to 100% (Xgwm294-2A and Xgwm573-7B), with an average of 61.4%. The polymorphism information content (PIC) ranged from 0.20 (Xwmc596-7A) to 0.48 (Xgwm294-2A), with an average of 0.33.The highest polymorphism (77.1%) was observed in the B genome followed by A (57.8%) and D (50.0%) genomes. Cluster analysis based on phenotypic data distinguished the most drought-tolerant genotypes (G6 and G11) from the remaining genotypes. Cluster analysis based on SSR markers distinguished durum from bread wheat genotypes. The study indicated that phenotypic data and SSR markers were effective in assessing the genetic diversity in the studied genotypes.

Citations

Citations to this article as recorded by  
  • Revealing Genetic Diversity and Drought Tolerance in Durum Wheat through Agro-Physiological and Molecular Approaches
    Ferhat Kızılgeçi, Aras Türkoğlu, Kamil Haliloğlu, Seval Eliş, Büşra Polat, Gaye Akçelik, Mehmet Yıldırım, Fatih Demirel, Jan Bocianowski
    Turkish Journal Of Field Crops.2026;[Epub]     CrossRef
  • Gene markers generating polygenic resistance in wheat - Bipolaris sorokiniana interaction pathosystem
    Fatemeh Qalavand, Mehdi Nasr Esfahani, Davood Amin Azarm, Maryam Monazzah, Marzie Motamedi, Niloufar Abbasi, Arman Nasr Esfahani, Mojtaba Mohammadi
    South African Journal of Botany.2025; 185: 182.     CrossRef
  • Molecular marker based analysis of allelic variation in the spring wheat genome
    Hafiz Ghulam Muhu Din Ahmed, Tao Yang, Muhammad Irfan Akram, Rashid Iqbal, Abdullah Ahmed Al-Ghamdi, Dunia A. Al Farraj
    Genetic Resources and Crop Evolution.2025; 72(5): 5393.     CrossRef
  • Genetic diversity of some bread wheat genotypes under water stress using morphological traits and SSR markers
    S.E Abd.Salam, E.E. Hassn, A.A. Hassan, Mohamed Abdelghany
    South African Journal of Botany.2025; 178: 360.     CrossRef
  • Genetic diversity analysis of Azerbaijani bread wheat (Triticum aestivum L.) genotypes with simple sequence repeat markers linked to drought tolerance
    Ruhangiz Mammadova, Zeynal Akparov, Ahmad Amri, Allah Bakhsh, Fida Alo, Shader Alizade, Nurlan Amrahov, Firuza Yunisova
    Genetic Resources and Crop Evolution.2025; 72(1): 315.     CrossRef
  • Association mapping for Striga resistance and agronomic‐related traits in sorghum
    Wilbert T. Mutezo, Moosa M. Sedibe, Justice Norvienyeku, Bingting Lai
    The Plant Genome.2025;[Epub]     CrossRef
  • Biochemical characteristics of bread wheat genotypes related to SSR markers in moisture stress conditions
    Fatemeh Bavandpouri, Ezatollah Farshadfar, Kianoosh Cheghamirza, Mohsen Farshadfar
    Genetic Resources.2025; 6(12): 171.     CrossRef
  • Agronomic and Molecular Identification of Drought-Tolerant Bread Wheat Varieties in Iran
    Arezoo Karkhaneh, Hooman Salari, Kianoosh Cheghamirza, Leila Zarei
    Journal of Plant Growth Regulation.2025; 44(6): 3039.     CrossRef
  • Multivariate Analysis Techniques and Tolerance Indices for Detecting Bread Wheat Genotypes of Drought Tolerance
    Ibrahim Al-Ashkar
    Diversity.2024; 16(8): 489.     CrossRef
  • Combining Genetic and Phenotypic Analyses for Detecting Bread Wheat Genotypes of Drought Tolerance through Multivariate Analysis Techniques
    Mohammed Sallam, Abdelhalim Ghazy, Abdullah Al-Doss, Ibrahim Al-Ashkar
    Life.2024; 14(2): 183.     CrossRef
  • Assessing Heat Stress Tolerance of Wheat Genotypes through Integrated Molecular and Physio-Biochemical Analyses
    Mohammed Sallam, Ibrahim Al-Ashkar, Abdullah Al-Doss, Khalid A. Al-Gaadi, Ahmed M. Zeyada, Abdelhalim Ghazy
    Agronomy.2024; 14(9): 1999.     CrossRef
  • Assessment of genetic variation among wheat genotypes for drought tolerance utilizing microsatellite markers and morpho-physiological characteristics
    Sheikh Faruk Ahmed, Jalal Uddin Ahmed, Mehfuz Hasan, Mohammed Mohi-Ud-Din
    Heliyon.2023; 9(11): e21629.     CrossRef
  • Molecular cytological analysis of alien introgressions in common wheat lines created by crossing of Triticum aestivum with T. dicoccoides and T. dicoccum
    О. A. Orlovskaya, I. N. Leonova, L. A. Solovey, N. I. Dubovets
    Vavilov Journal of Genetics and Breeding.2023; 27(6): 553.     CrossRef
  • Research Advances in Diversity of Wheat Genetic Resources
    Do Yoon Hyun, Jae Yoon Kim
    Korean Journal of Breeding Science.2023; 55(4): 350.     CrossRef
  • Assessment of Genetic Diversity of Bread Wheat Genotypes for Drought Tolerance Using Canopy Reflectance-Based Phenotyping and SSR Marker-Based Genotyping
    Mohammed Mohi-Ud-Din, Md. Alamgir Hossain, Md. Motiar Rohman, Md. Nesar Uddin, Md. Sabibul Haque, Eldessoky S. Dessoky, Mohammed Alqurashi, Salman Aloufi
    Sustainability.2022; 14(16): 9818.     CrossRef
  • Enzyme activity and population genetic structure analysis in wheat associated with resistance to Bipolaris sorokiniana-common root rot diseases
    Fatemeh Qalavand, Mehdi Nasr Esfahani, Jafar Vatandoost, Davood Amin Azarm
    Phytochemistry.2022; 200: 113208.     CrossRef
  • 12 View
  • 0 Download
  • 16 Crossref
The Study of Morphological Characteristics and Statistics of the Phenotypes and Correlation in Faba Bean (Vicia faba L.) Germplasm
Bullo Neda, Tileye Feyissa, Kifle Dagne, Ermias Assefa
Plant Breed. Biotech. 2021;9(2):139-163.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.139

Faba bean is amongst the most important food legumes in the world. Ninety landraces and six released faba bean accessions were evaluated for variability parameters, correlation, and path coefficients for nineteen traits at two locations over two years. There were significant differences (P < 0.05) to very high significant differences (P < 0.001) among accessions for all traits considered in all environments except for leaf width, days to flowering, number of seeds per pod, and seed filling period which were non-significant at Girar Jerso in 2018 and number of branches per plant was also non-significant at Degem in 2018. In this study phenotypic coefficient of variation, genotypic coefficient of variation, and broad-sense heritability also revealed medium to high values for most traits. Genetic gains expected from selecting the top 5% of the genotypes, as a percent of the mean varied from 0.49% to 145.83%. High heritability coupled with high genetic advance as percent of mean was observed for most of the traits, indicating an improvement in these traits through simple selection. Path coefficient analysis indicated, traits that had a positive direct effect and correlation with grain yield, could be used as a reliable indicator in indirect selection for higher grain yield.

Citations

Citations to this article as recorded by  
  • The Pearson’s χ2 test is feasible for plant biotechnology experiments involving quantitative data
    José Carlos Lorenzo, Daviel Gómez, Lisbet Pérez-Bonachea, Yanier Acosta, Barbarita Companioni, Byron E. Zevallos–Bravo, María de Lourdes Tapia y Figueroa, Elliosha Hajari
    Vegetos.2025; 39(2): 811.     CrossRef
  • Genome-wide association studies revealed DArTseq loci associated with agronomic traits in Turkish faba bean germplasm
    Tolga Karaköy, Faruk Toklu, Eylem Tuğay Karagöl, Damla Uncuer, Yeter Çilesiz, Amjad Ali, Muhammad Azhar Nadeem, Hakan Özkan
    Genetic Resources and Crop Evolution.2024; 71(1): 181.     CrossRef
  • Correlation and Path Coefficient Analysis of Yield and Yield Components in Faba Bean (<i>Vicia faba </i>L.) Genotypes
    Solomon Shferaw, Wossen Tarekegne
    American Journal of BioScience.2024; 12(4): 101.     CrossRef
  • Generation Mean Analysis, Heterosis, and Genetic Diversity in Five Egyptian Faba Beans and Their Hybrids
    Mohamed S. Abd El-Aty, Mahmoud A. El-Hity, Tharwat M. Abo Sen, Ibrahim A. E. Abd El-Rahaman, Omar M. Ibrahim, Ammar Al-Farga, Amira M. El-Tahan
    Sustainability.2023; 15(16): 12313.     CrossRef
  • Exploration of global faba bean germplasm for agronomic and nitrogen fixation traits
    L. Boots‐Haupt, K. Brasier, R. Saldivar‐Menchaca, S. Estrada, J. Prieto‐Garcia, J. Jiang, R. Riar, J. Hu, H. Zakeri
    Crop Science.2022; 62(5): 1891.     CrossRef
  • 10 View
  • 0 Download
  • 5 Crossref
Genetic Diversity and Physiological Response to Drought Stress of Chamaecyparis obtuse from Six Geographical Locations
Tae-Lim Kim, Kyungmi Lee, Wonwoo Cho, Danbe Park, Il Hwan Lee, Hyemin Lim
Plant Breed. Biotech. 2021;9(2):112-123.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.112

Water deficit is a critical factor obstructing the growth and survival of plant. Therefore, researchers have been trying to develop drought-resistant varieties. To find indicators of drought stress-tolerance of cypress (Chamaecyparis obtusa), we analyzed the response of cypress seedlings from six provenances of Korea (Jeju, Suwon, Seoul, Seongnam, Yong-in, and Osan) to drought stress. Additionally, the genetic diversity of C. obtusa from the six provenances were determined using microsatellite markers. We confirmed that populations from Suwon and Seongnam were relatively separated from other populations through genetic distance and cluster analysis. We examined their physiologic and metabolic responses after drought treatment for five weeks. Almost all of the cypress seedlings showed a reduced shoot growth rate under drought treatment compared to controls. In addition, temperature of drought treated cypress seedling leaves was 1.2-2℃ higher than that of the controls. Almost all of the drought stress-treated cypress showed increased carbon metabolite contents and pigments. In particular, the cypress seedlings from Osan showed the highest increase in all of the measured metabolites. Therefore, it is suggested that the seedlings from Osan are susceptible to drought stress. Conversely, the seedlings from Jeju, Suwon, and Yong-in showed a lower sensitivity to drought treatment. These results indicate that the cypress trees from the six provenances have a different response to drought stress. In addition, it is confirmed that previously identified indicators of drought stress, especially those that measure total soluble sugar, carotenoid, and H2O2, can be used in the selection of drought resistance cypress. These findings may useful in studies concerned with the metabolic and physiological responses of young cypress to drought.

Citations

Citations to this article as recorded by  
  • Comparative phenotypic, physiological, and transcriptomic responses to drought and recovery in two Fraxinus species
    Tae-Lim Kim, Hyemin Lim, Kyungmi Lee, Michael Immanuel Jesse Denison, Sathishkumar Natarajan, Changyoung Oh
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Cashew nut shell oil as a potential feedstock for biodiesel production: An overview
    Srinivasan Kandaswamy, Venkatesa Murthy Swarupa, Souvik Sur, Gautam Choubey, Yuvarajan Devarajan, Ruby Mishra
    Biotechnology and Bioengineering.2023; 120(11): 3137.     CrossRef
  • Comparison of Physiological and Biochemical Responses of Two Poplar Species under Drought Stress
    Tae-Lim Kim, Kyungmi Lee, Hwan-Su Hwang, Changyoung Oh, Il Hwan Lee, Hyemin Lim
    Plant Breeding and Biotechnology.2022; 10(3): 145.     CrossRef
  • A Cold-Shock Protein from the South Pole-Dwelling Soil Bacterium Arthrobacter sp. Confers Cold Tolerance to Rice
    So Young Kim, Joung Sug Kim, Woosuk Cho, Kyong Mi Jun, Xiaoxuan Du, Kyung Do Kim, Yeon-Ki Kim, Gang-Seob Lee
    Genes.2021; 12(10): 1589.     CrossRef
  • 14 View
  • 0 Download
  • 4 Crossref
Genetic Parameters and Multivariate Analysis to Determine Secondary Traits in Selecting Wheat Mutant Adaptive on Tropical Lowlands
Muh Farid, Nasaruddin Nasaruddin, Yunus Musa, Muhammad Fuad Anshori, Ifayanti Ridwan, Jekvy Hendra, Gatot Subroto
Plant Breed. Biotech. 2020;8(4):368-377.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.368

One of approaches to maintain the yield stability of the lowland tropical wheat is the use of secondary traits in the selection process. The identification of these characters requires a statistical approach in the form of genetic parameter analysis and multivariate analysis. The
objective
of this study was to determine the secondary traits of adaptive wheat mutants in the lowlands through the use of genetic parameters and multivariate analysis on the parameters. The study consisted of three field trials conducted in three different regencies, namely Jeneponto (135 m above sea level (asl)), Maros (100 m asl) and Bantaeng (125 m asl). The study used a nested design, where replications were nested in the environments. The genotype factors consisted of 20 genotypes repeated three times. 11 characters were observed including vegetative and reproductive characters. The analysis used consisted of repeatability, correlation, cluster analysis, principal component analysis, factor analysis, and cross print analysis. The overall results of the analysis indicate that the number of productive tillers is the main secondary trait for the selection of adaptive wheat in the lowlands. The character can be recommended for selection criteria in testing wheat lines in the lowlands to make an effective selection.

Citations

Citations to this article as recorded by  
  • Stability and adaptability analyses to identify suitable high-yielding maize hybrids using PBSTAT-GE
    Muhammad Azrai, Muh. Farid, Amin Nur, Roy Efendi, Salengke Salengke, Yunus Musa, Baharuddin Patandjengi, Tutik Kuswinanti, Sulaeha Thamrin, Willy Bayuardi Suwarno, Nining Nurini Andayani, Bunyamin Zainuddin, Hishar Mirsam, Slamet Bambang Priyanto, Suriani
    Open Agriculture.2025;[Epub]     CrossRef
  • Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices
    Yunus Musa, Rusnadi Padjung, Nasaruddin Nasaruddin, Muh Farid, Andang Suryana Soma, Achmad Kautsar Baharuddin, Muh. Fikri Al Qautzar, Resky Maulidina Fakhri, Madonna Casimero, Amin Nur, Mahmoud F. Seleiman, Majed Alotaibi, Nawab Ali, Muhammad Fuad Anshori
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • Multivariate analysis and image-based phenotyping of cayenne fruit traits in selection and diversity mapping of multiple F1 cross lines
    Muhammad Fuad Anshori, Yunus Musa, Novaty Eny Dungga, Nuniek Widiayani, Arfina Sukmawati Arifin, A. Masniawati, Firmansyah, Muh Farid, Andi Dirpan, Andi Isti Sakinah, Nirwansyah Amier
    Reproduction and Breeding.2024; 4(4): 194.     CrossRef
  • A new concept in assessing adaptability index for superior potential cropping intensity in early-maturing rice
    Muhammad Fuad Anshori, Yunus Musa, Muh Farid, Muh Jayadi, Abd Haris Bahrun, Amir Yassi, Andi Amran Sulaiman, Yi Cheng Huang, Madonna Casimero, Lizzida Llorca, Willy Bayuardi Suwarno, Muh Mukhtadir Putra, Hasil Sembiring, Bambang Sapta Purwoko, Daniel O. W
    Frontiers in Sustainable Food Systems.2024;[Epub]     CrossRef
  • Selection of M5 mutant lines of wheat (Triticum aestivum L.) for agronomic traits and biomass allocation under drought stress and non-stressed conditions
    Athenkosi Makebe, Hussein Shimelis, Jacob Mashilo
    Frontiers in Plant Science.2024;[Epub]     CrossRef
  • Combining Image-Based Phenotyping and Multivariate Analysis to Estimate Fruit Fresh Weight in Segregation Lines of Lowland Tomatoes
    Muh Farid, Muhammad Fuad Anshori, Riccardo Rossi, Feranita Haring, Katriani Mantja, Andi Dirpan, Siti Halimah Larekeng, Marlina Mustafa, Adnan Adnan, Siti Antara Maedhani Tahara, Nirwansyah Amier, M. Alfan Ikhlasul Amal, Andi Isti Sakinah
    Agronomy.2024; 14(2): 338.     CrossRef
  • Interaction of Principal Component Analysis and Normalized Difference Vegetation Index (NDVI) Using Drone in Evaluation of the Vegetative Phase of Rice
    Andi Isti Sakinah, Muh Farid, Yunus Musa, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Hari Iswoyo
    Asian Journal of Plant Sciences.2024; 23(1): 88.     CrossRef
  • Multivariate and Association Analyses of Quantitative Attributes Reveal Drought Tolerance Potential of Wheat (Triticum aestivum L.) Genotypes
    Mueen Alam Khan, Muhammad Waseem Akram, Muhammad Iqbal, Hafiz Ghulam Muhu-Din Ahmed, Abdul Rehman, Hafiz Syed M. Arslan Iqbal, Beena Alam
    Communications in Soil Science and Plant Analysis.2023; 54(2): 178.     CrossRef
  • Sustainability approach in cropping intensity (CI) 400 through optimizing the dosage of compost and chemical fertilizers to early-maturing rice varieties based on multivariate analysis
    Yunus Musa, Muh Farid, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Ahmad Fauzan Adzima, Muhammad Farid Maricar, Amran Sulaiman, Yi Cheng Huang, Hari Iswoyo, Abd Haris Bahrun, Adnan Adnan
    Journal of Agriculture and Food Research.2023; 14: 100907.     CrossRef
  • Effect of salinity on seed germination and seedling growth of bullet cultivar of chilli (Capsicum annuum L.)
    Anup Kumar Sarkar, Satyajit Oraon, Subrata Mondal, Sanjoy Sadhukhan
    Brazilian Journal of Botany.2023; 46(3): 513.     CrossRef
  • Salinity tolerance selection of doubled-haploid rice lines based on selection index and factor analysis
    Muhammad Fuad Anshori, Bambang Sapta Purwoko, Iswari Saraswati Dewi, Willy Bayuardi Suwarno, Sintho Wahyuning Ardie
    AIMS Agriculture and Food.2022; 7(3): 520.     CrossRef
  • Cluster heatmap for screening the drought tolerant rice through hydroponic culture
    A I Sakinah, Y Musa, M Farid, M F Anshori, M Arifuddin, A A Laraswati
    IOP Conference Series: Earth and Environmental Science.2021; 807(4): 042045.     CrossRef
  • Interactions of Growth Environmental and Application of GA3 Concentration On Shallot Productivity
    A R Handayani, E Syam’un, F Ulfa
    IOP Conference Series: Earth and Environmental Science.2021; 921(1): 012051.     CrossRef
  • Interaction of Genetic and Cultivation Technology in Maize Prolific and Productivity Increase
    A. Dwie Mochammad , Rusnadi Padjung, Muh Farid, Abd Haris Bahrun, Muhammad Fuad Ansho, Nasaruddin ., Ifayanti Ridwan, Amin Nur, Muh Taufik
    Pakistan Journal of Biological Sciences.2021; 24(6): 716.     CrossRef
  • Image Based-Phenotyping and Selection Index Based on Multivariate Analysis for Rice Hydroponic Screening under Drought Stress
    Adinda Asri Laraswati, Rusnadi Padjung, Muh Farid, Nasaruddin Nasaruddin, Muhammad Fuad Anshori, Amin Nur, Andi Isti Sakinah
    Plant Breeding and Biotechnology.2021; 9(4): 272.     CrossRef
  • 8 View
  • 0 Download
  • 15 Crossref
Development of a Mutant Population of Micro-Tom Tomato Using Gamma-Irradiation
Jae-In Chun, Heejin Kim, Yeong Deuk Jo, Jin-Baek Kim, Jin-Ho Kang
Plant Breed. Biotech. 2020;8(4):307-315.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.307

Knowledge of genetic resources is essential for breeders to create new crop varieties with improved characteristics. In this respect, mutant populations may conveniently provide a powerful tool for identifying new functional genes. Therefore, we used the Micro-Tom tomato variety, which has a reduced size and a relatively short life-cycle compared to other commercial tomato cultivars, to construct a mutant population using gamma-ray radiation as a mutagen. To determine the optimal mutagenic intensity of gamma rays for tomato, dry seeds of Micro-Tom were irradiated with gamma-ray intensities from 0 to 1000 gray (Gy) with increments of 100 Gy. The germination rate of mutagenized seeds (M1 seeds) on MS media was not affected by the tested gamma-ray intensity range. However, seedling growth was severely reduced with increasing irradiation. Seedling growth rate at eight days after germination showed that the median gamma-ray doses for hypocotyl and root elongation were 600 and 300-400 Gy, respectively. The survival test for 300, 400, and 500 Gy-treated M1 seeds showed that survival rates significantly decreased with increasing irradiation. The survival rate of 400 Gy-radiated seeds was 48%, while that of 500 Gy-radiated seeds was only 25%, compared with the control treatment. Therefore, we concluded that gamma-ray irradiation at 300-400 Gy is best for tomato mutagenesis. To find new mutants, M2 seeds produced by M1 plants were grown. We found several mutants, including plants with varying cotyledon number, variegated or red leaves, and green hypocotyls.

Citations

Citations to this article as recorded by  
  • Gamma rays and sodium azide induced variations in bio-physiological and agronomical traits in linseed (Linum usitatissimum L.)
    Roshan Jahan, Aamir Raina, Saima Malik, Samiullah Khan
    Heliyon.2024; 10(11): e31329.     CrossRef
  • Mutation mapping of a variegated EMS tomato reveals an FtsH-like protein precursor potentially causing patches of four phenotype classes in the leaves with distinctive internal morphology
    Punyavee Dechkrong, Sornsawan Srima, Siriphan Sukkhaeng, Winai Utkhao, Piyanan Thanomchat, Hans de Jong, Pumipat Tongyoo
    BMC Plant Biology.2024;[Epub]     CrossRef
  • Effect of Gamma Irradiation on Survival, Fruit Characteristic, and Thorn Length in Different Varieties of Citrus
    Cheol-Woo Choi, Min-Ju Kim, Seong-beom Jin, Suk-Man Park, Su-Hyun Yun
    Korean Journal of Breeding Science.2023; 55(4): 296.     CrossRef
  • Radiosensitivity of seedling traits to varying gamma doses, optimum dose determination and variation in determined doses due to different time of sowings after irradiation and methods of irradiation in faba bean genotypes
    Rajdeep Guha Mallick, Subhradeep Pramanik, Manas Kumar Pandit, Akhilesh Kumar Gupta, Subhrajit Roy, Sanjay Jambhulkar, Ashutosh Sarker, Rajib Nath, Somnath Bhattacharyya
    International Journal of Radiation Biology.2023; 99(3): 534.     CrossRef
  • Mutagenesis-based plant breeding approaches and genome engineering: A review focused on tomato
    Durre Shahwar, Namju Ahn, Donghyun Kim, Wooseong Ahn, Younghoon Park
    Mutation Research - Reviews in Mutation Research.2023; 792: 108473.     CrossRef
  • Radiation treatment to turfgrass cultivar to improve drought tolerance cultivar breeding
    Gyung Deok Han, Ji Hyeon Jung, Hyeon-Jin Sun, Yong Suk Chung
    Plant Biotechnology Reports.2022; 16(4): 493.     CrossRef
  • Chronic Gamma Irradiation Changes Phenotype and Gene Expression Partially Transmitted to Next-Generation Tomato Seedlings
    Seong-Min Kim, Yeong Deuk Jo, Jae-In Chun, Jin-Baek Kim, Jin-Ho Kang
    Agronomy.2021; 11(8): 1638.     CrossRef
  • 23 View
  • 0 Download
  • 7 Crossref
Inducing Potential Mutants in Bread Wheat Using Different Doses of Certain Physical and Chemical Mutagens
Ghada M.Sh.M. Abaza, Hassan A. Awaad, Zakaria M. Attia, Khalid S. Abdel-lateif, Mohamed A. Gomaa, Safy M.Sh.M. Abaza, Elsayed Mansour
Plant Breed. Biotech. 2020;8(3):252-264.   Published online September 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.3.252

Mutation is an effective strategy not only for creating novel variation into crop genome but also for direct releasing adapted and high-yielding genotypes. The current work explores inducing genetic variability in bread wheat using physical and chemical mutagens. Three wheat cultivars were treated by three mutagens; gamma irradiation (five doses; 250, 300, 350, 400 and 450 Gray); laser ray (three treatments; 1, 1.5, and 2 hour exposure) and EMS (three concentrations; 0.2, 0.3 and 0.4%). Besides, a combination of physical (laser) and chemical (EMS) mutagens using middle range of each treatment (1.5 hour laser and 0.3% EMS) was attempted to be applied. The treated seeds were sown in the first season and 4050 M1 plants were harvested. The harvested seeds were sown in the second season, and 78750 M2 plants were obtained. The selection was performed in second season (M2) based on morpho-physiological and yield traits; flag leaf area, flag leaf chlorophyll content, plant height, spike length, grain yield per plant and its components. Based on evaluated traits fourteen mutants were selected to be evaluated in the third generation (M3). The results indicated that the used mutagens had direct impact and significantly improved agronomic traits in derivative mutants compared to their parent cultivars. Moreover, the maximum increment in yield related traits were obtained by 0.4% EMS, 1 and 2 hour-laser, 350-Gy, 1.5 hour × 0.3% EMS and 250-Gy. The obtained results highlighted the importance of these doses of applied mutagens to induce useful genetic variability in bread wheat for improving grain yield and contributing traits.

Citations

Citations to this article as recorded by  
  • Genetic diversity and molecular profiling of leaf rust resistance genes in different wheat (Triticum aestivum L.) genotypes
    Areej S. Jalal, Mayasar I. Al-Zaban, Mohammed Alqurashi, Eman Fayad, Diana A.H. Al-Quwaie, Leena M. Sait, Salha M. Alshamrani, Nora M. Al Aboud, Uthman Balgith Algopishi, Fatmah Ahmed Safhi
    Physiological and Molecular Plant Pathology.2026; 142: 103055.     CrossRef
  • Characterization of Some Selected Nigeria Indigenous Tomato Varieties Using Morphology and Yield Parameters
    Priscilla Odaku NWOSU-EZEONYE, Happiness Oluomachi EBERECHUKWU, Gbenga Samson OGUNMEFUN, Eno-obong Ntiedo UMOH, Hajara Oyiza YUSUF, Matthew Omoniyi ADEBOLA
    Journal of Agricultural Science and Technology.2025; 2_3(1): 1.     CrossRef
  • Current breakthroughs and advances in atmospheric room temperature plasma (ARTP) technology for biomanufacturing
    Yu-Hsiu Li, Jiun-Jang Juo, I-Son Ng
    Bioresources and Bioprocessing.2025;[Epub]     CrossRef
  • Genetic potential and inheritance pattern of agronomic traits in faba bean under free and infested Orobanche soil conditions
    Alaa A. Soliman, Mohamed A. Ibrahim, Manar I. Mousa, Elsayed Mansour, Yuhua He, Haitian Yu
    BMC Plant Biology.2024;[Epub]     CrossRef
  • Deciphering induced variability, character association and multivariate analysis utilizing gamma rays and ethyl methanesulfonate in bread wheat ( Triticum aestivum L.) genotypes with differential grain texture
    Amit Rana, Vijay Rana, Suman Bakshi, Vinod Kumar Sood, Priyanka, Anuradha
    International Journal of Radiation Biology.2024; 100(4): 627.     CrossRef
  • Mutagenic sensitivity, effectiveness and efficiency of gamma rays and ethyl methane sulfonate on soft and semi-hard bread wheat ( Triticum aestivum L.) varieties in the north-western Himalayan climate
    Amit Rana, Vijay Rana, Vinod Kumar Sood, Suman Bakshi, Priyanka
    International Journal of Radiation Biology.2024; 100(2): 296.     CrossRef
  • Performance and genotypic variability in diverse date palm (Phoenix dactylifera L.) cultivars for fruit characteristics
    Mesfer M. Alqahtani, Maysoun M. Saleh, Khairiah M. Alwutayd, Fatmah A. Safhi, Salah A. Okasha, Mohamed A. Abdelsatar, Mohamed S. M. Ali, Magdi I. Saif, Amira A. Ibrahim, Khaled F. M. Salem
    Genetic Resources and Crop Evolution.2024; 71(5): 1759.     CrossRef
  • Genotyping by sequencing; a strategy for identification and mapping of induced mutation in newly developed wheat mutant lines
    Sana Zulfiqar, Mehboob-ur- Rahman, Sayyad Ali Raza Bukhari, Bradley Till, Ruixue Gu, Dongcheng Liu, Susanne Dreisigacker
    Functional & Integrative Genomics.2024;[Epub]     CrossRef
  • Determination of Median Lethal (LD50) and Growth Reduction (GR50) Dose of Gamma Irradiation for Induced Mutation in Wheat
    Sunanda Chakraborty, Sunita Mahapatra, Anubhab Hooi, Md Nasim Ali, Ramesh Satdive
    Brazilian Archives of Biology and Technology.2023;[Epub]     CrossRef
  • Estimating genetic diversity among durum wheat (Triticum durum desf.) landraces using morphological and SRAP markers
    Naser B. Almarri, Salem S. Alghamdi, Mohamed H. ElShal, Muhammad Afzal
    Journal of the Saudi Society of Agricultural Sciences.2023; 22(5): 273.     CrossRef
  • Heritable variability in winter wheat at the interaction of genotype with factors of high genetic activity
    Vladislav Horshchar, Mykola Nazarenko
    Scientific Horizons.2023; 27(1): 80.     CrossRef
  • Exploring genotypic variability and interrelationships among growth, yield, and quality characteristics in diverse tomato genotypes
    Arova Zannat, Md Arif Hussain, Abu Habib Md Abdullah, Md Ismail Hossain, Md Saifullah, Fatmah A. Safhi, Khalid S. Alshallash, Elsayed Mansour, Abdelaleim I. ElSayed, Md Sazzad Hossain
    Heliyon.2023; 9(8): e18958.     CrossRef
  • Gamma-rays induced mutations increase soybean oil and protein contents
    Geehan Mohsen, Said S. Soliman, Elsayed I. Mahgoub, Tarik A. Ismail, Elsayed Mansour, Khairiah M. Alwutayd, Fatmah A. Safhi, Diaa Abd El-Moneim, Rahma Alshamrani, Osama O. Atallah, Wael F. Shehata, Abdallah A. Hassanin
    PeerJ.2023; 11: e16395.     CrossRef
  • Phenotypic and genetic characterization of an Avena sativa L. germplasm collection of diverse origin: implications for food-oat breeding in Chile
    Mónica Mathias-Ramwell, Valentina Pavez, Marco Meneses, Feledino Fernández, Adriana Valdés, Iris Lobos, Mariela Silva, Rodolfo Saldaña, Patricio Hinrichsen
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Development and characterization of gamma ray and EMS induced mutants for powdery mildew resistance in blackgram
    Murugesan Tamilzharasi, Dharmalingam Kumaresan, Venkatesan Thiruvengadam, Jegadeesan Souframanien, T. K. S. Latha, N. Manikanda Boopathi, Palaniappan Jayamani
    International Journal of Radiation Biology.2023; 99(8): 1267.     CrossRef
  • Cytogenetic activity of a mutagenic factor with high damaging capacity in winter wheat
    Vladislav Horshchar, Mykola Nazarenko
    Scientific Horizons.2023; 26(9): 131.     CrossRef
  • Assessment of DNA mutagenicity induced by He–Ne laser using Salmonella typhimurium strains
    Feng Lu, Siyu Ruan, Yunliang Li, Yining Wang, Pengfei Xie, Xiaoxue Zhao, Jiapin Chao, Haile Ma
    Applied Microbiology and Biotechnology.2023; 107(13): 4311.     CrossRef
  • Testing of Low-Intensity Laser Radiation in the Visible Spectrum Mutagenic Effect Hypothesis
    A. V. Budagovsky, N. V. Solovykh, O. N. Budagovskaya, M. B. Yankovskaya
    Russian Agricultural Sciences.2022; 48(3): 192.     CrossRef
  • Evaluation of Advanced Mutant Restorer Lines for Enhancing Outcrossing Rate and Hybrid Seed Production of Diverse Rice Cytoplasmic Male Sterile Lines
    Hassan Sh. Hamad, Mohamed I. Ghazy, Eman M. Bleih, Elsayed E. Gewaily, Mahmoud M. Gaballah, Mesfer M. Alqahtani, Fatmah A. Safhi, Salha M. ALshamrani, Elsayed Mansour
    Agronomy.2022; 12(11): 2875.     CrossRef
  • Molecular Genetic Diversity and Combining Ability for Some Physiological and Agronomic Traits in Rice under Well-Watered and Water-Deficit Conditions
    Raghda M. Sakran, Mohamed I. Ghazy, Medhat Rehan, Abdullah S. Alsohim, Elsayed Mansour
    Plants.2022; 11(5): 702.     CrossRef
  • Multivariate Analysis of Agronomic Traits in Newly Developed Maize Hybrids Grown under Different Agro-Environments
    Mohamed Omar, Hassan A. Rabie, Saber A. Mowafi, Hisham T. Othman, Diaa Abd El-Moneim, Khadiga Alharbi, Elsayed Mansour, Mohamed M. A. Ali
    Plants.2022; 11(9): 1187.     CrossRef
  • Applications of In Vitro Tissue Culture Technologies in Breeding and Genetic Improvement of Wheat
    Akila Wijerathna-Yapa, Vinita Ramtekey, Buddhini Ranawaka, Bhoja Raj Basnet
    Plants.2022; 11(17): 2273.     CrossRef
  • Winter wheat cytogenetic variability under the action of a chemical supermutagen
    V. Horshchar, M. Nazarenko
    Regulatory Mechanisms in Biosystems.2022; 13(4): 373.     CrossRef
  • Genetic Potential and Inheritance Patterns of Physiological, Agronomic and Quality Traits in Bread Wheat under Normal and Water Deficit Conditions
    Mohamed Kamara, Medhat Rehan, Amany Mohamed, Rania El Mantawy, Ahmed Kheir, Diaa Abd El-Moneim, Fatmah Safhi, Salha ALshamrani, Emad Hafez, Said Behiry, Mohamed Ali, Elsayed Mansour
    Plants.2022; 11(7): 952.     CrossRef
  • Combining Ability and Gene Action Controlling Grain Yield and Its Related Traits in Bread Wheat under Heat Stress and Normal Conditions
    Mohamed M. Kamara, Khaled M. Ibrahim, Elsayed Mansour, Ahmed M. S. Kheir, Mousa O. Germoush, Diaa Abd El-Moneim, Mohamed I. Motawei, Ahmed Y. Alhusays, Mona Ali Farid, Medhat Rehan
    Agronomy.2021; 11(8): 1450.     CrossRef
  • Molecular Genetic Diversity and Line × Tester Analysis for Resistance to Late Wilt Disease and Grain Yield in Maize
    Mohamed M. Kamara, Nasr A. Ghazy, Elsayed Mansour, Mohsen M. Elsharkawy, Ahmed M. S. Kheir, Khaled M. Ibrahim
    Agronomy.2021; 11(5): 898.     CrossRef
  • Assessing the Response of Diverse Sesame Genotypes to Waterlogging Durations at Different Plant Growth Stages
    Mohammad Habibullah, Shahnaz Sarkar, Mohammad Mahbub Islam, Kamal Uddin Ahmed, Md. Zillur Rahman, Mohamed F. Awad, Abdelaleim I. ElSayed, Elsayed Mansour, Md. Sazzad Hossain
    Plants.2021; 10(11): 2294.     CrossRef
  • Characterization of wheat landraces and commercial cultivars based on morpho-phenological and agronomic traits
    M. A. A. H. Gharib, N. Qabil, A. H. Salem, M. M. A. Ali, H. A. Awaad, E. Mansour
    Cereal Research Communications.2021; 49(1): 149.     CrossRef
  • Sowing Date and Genotype Influence on Yield and Quality of Dual-Purpose Barley in a Salt-Affected Arid Region
    Ehab S. A. Moustafa, El-Sayed E. A. El-Sobky, Hossam I. A. Farag, Mohamed A. T. Yasin, Ahmed Attia, Mohamed O. A. Rady, Mohamed F. Awad, Elsayed Mansour
    Agronomy.2021; 11(4): 717.     CrossRef
  • Field Screening of Wheat Advanced Lines for Salinity Tolerance
    Ehab S. A. Moustafa, Mohamed M. A. Ali, Mohamed M. Kamara, Mohamed F. Awad, Abdallah A. Hassanin, Elsayed Mansour
    Agronomy.2021; 11(2): 281.     CrossRef
  • 33 View
  • 0 Download
  • 30 Crossref

Review Articles

Visiting Bitter Gourd (Momordica charantia) from a Breeding Perspective: A Review
Hari Kesh, Prashant Kaushik
Plant Breed. Biotech. 2020;8(3):211-225.   Published online September 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.3.211

Bitter gourd is an important vegetable of the family Cucurbitaceae, cultivated mainly in humid and subtropical Asia. Bitter gourd is a vegetable with immense health benefits due to the presence of medicinal compounds such as charantin, vicine, and polypeptide-p, which play essential roles in lessening blood glucose levels. Moreover, bitter gourd fruits are particularly rich in vitamin C, minerals, and carotenes. Here, an effort has been made to critically evaluate the extent of achievements during the enhancement and enactment of bitter gourd breeding programs with the use of latest technologies. Broadening the genetic base of cultivated bitter gourd varieties as a result of enrichment of existing resources by using wild species in breeding programs. Practical seed production technological know-how along with the use of the MS system (male sterility)/chemical-induced sterility procedure is nonetheless vital to cope with market demands. Superior yielding bitter gourd hybrids combining early maturity and resistance to biotic and abiotic stresses are regularly needed to cope with the challenge of bitter gourd production.

Citations

Citations to this article as recorded by  
  • Utilization of crop wild relatives in genetic improvement of bitter gourd, Momordica charantia L.
    S. Devi, R. Neelavathi, C. Indu Rani, R. Kalaiyarasi, K. Gurusamy
    Genetic Resources and Crop Evolution.2026;[Epub]     CrossRef
  • Status of soluble sugars and the related enzymes of Momordica charantia L. seedlings in response to low temperature stress
    V. Devi, M. Kaur Sangha, M. Pathak, P. Kumar, M. Pal
    European Journal of Horticultural Science.2023; 88(6): 1.     CrossRef
  • Advances in melon (Cucumis melo L.) breeding: An update
    Hari Kesh, Prashant Kaushik
    Scientia Horticulturae.2021; 282: 110045.     CrossRef
  • 15 View
  • 1 Download
  • 3 Crossref
Advanced Breeding Technologies for Accelerating Genetic Gain
Ju-Kyung Yu
Plant Breed. Biotech. 2020;8(3):203-210.   Published online September 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.3.203

The integration of advanced technologies into breeding programs in the 21st century can result in a powerful step change in crop productivity when aligned with components of genetic gain. Genetic gain depends upon four factors: accuracy, selection intensity, genetic variation, and time. It is a useful starting point, as it articulates the parameters breeders operate as part of the crop improvement process. This review article has compiled advanced breeding technologies such as phenomics, genotyping and se-quencing platforms, genome editing, and double haploid, which can be applied to each component of the genetic gain equation. In addition, it has explained the strategies, opportunities, and limitations in order to support breeders in making wise decisions in regard to the technologies and therefore increase efficiency with the breeding programs.

Citations

Citations to this article as recorded by  
  • Haploid facultative parthenogenesis in sunflower sexual reproduction
    Jian Lv, Dawei Liang, Eric Bumann, Virginie Mirleau Thebaud, Huaibing Jin, Changbao Li, Clemence Paris, Yinghui Dan, Chao Li, Ruijie Cui, Xianxia Chen, David Szwerdszarf, Peter Wittich, Bobby Clegg, Agustin Tassara, Hongmei Dan, Xiaolong Tian, Zhiqiang Li
    Nature.2025; 641(8063): 732.     CrossRef
  • Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops
    Miguel Angel Villalobos-López, Analilia Arroyo-Becerra, Anareli Quintero-Jiménez, Gabriel Iturriaga
    International Journal of Molecular Sciences.2022; 23(19): 12053.     CrossRef
  • 5 View
  • 0 Download
  • 2 Crossref

Review

Genetic Resources and Varietal Environment of Grown Fonio Millets in West Africa: Challenges and Perspectives
Cyrille Kanlindogbe, Emmanuel Sekloka, Emmanuel Hala Kwon-Ndung
Plant Breed. Biotech. 2020;8(2):77-88.   Published online June 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.2.77

Fonio, known to be the smallest and oldest form of millet grown in sub-Saharan Africa, has remained relatively poor of research despite its nutritional, sociocultural, agroecological, therapeutic and economic potentials. Based on systematic literature review, this critical study showed that fonio genetic breeding progress is at a low level. Genetic resources are threatened by erosion, particularly extra-early cultivars of Digitaria exilis, and mainly D. iburua species have practically disappeared in some cultivation countries including Benin. Varietal environment is characterized by lack of improved varieties and seeds, so that cultivars are ecotypes derived from natural selection often with low yields. Seeds, very tiny, are generally heterogenous, in polyvarietal mixtures because of unimproved systems and management by farmers. These ecotypes are susceptible to stem lodging and seed shattering. An exhaustive list of fonio genetic resources from West and Central Africa into catalog remains to be documented. There is a need for regional and international networking of fonio researchers with institutional support for harmonizing germplasm characterization methods, will facilitate descriptors development for all countries. It is necessary to consider in this work wild relative species that have potential genes of resistance/tolerance to biotic and abiotic stress. Starting from autogamy and apomixis revealed on fonio, homogenization program using pureline and mass selection of cultivars could enable rapid release of homogeneous and higher yielding materials to farmers and processors. Development of early and yielded varieties, with upright stem and coarse grains, resistant to lodging, shattering, and facilitating mechanical harvesting would enhance effective production revival.

Citations

Citations to this article as recorded by  
  • Enhancing pasta quality through substitution of wheat with acha, sorghum and Cirina forda powder
    Ibukunoluwa M. Adeyemo, Patricia O. Laleye, Kolawole O. Falade
    Journal of Food Measurement and Characterization.2026; 20(4): 6358.     CrossRef
  • Phylogenetics and evolution of Digitaria grasses, including cereal crops fonio, raishan and Polish millet
    George P Burton, Paolo Ceci, Lorna MacKinnon, Lizo E Masters, Noro Fenitra Harimbao Randrianarimanana, Philippa Ryan, Colin G N Turnbull, Tiziana Ulian, Maria S Vorontsova
    Annals of Botany.2026; 137(1): 141.     CrossRef
  • Climate resilient millets: emerging paradigms for the rising paradox
    Thamizh Iniyan Arinarayanasamy, Ameena Premnath, Natarajan Balakrishnan, Paramasivam Jeyaprakash, Sudha Manickam, Vanniarajan Chockalingam, Raveendran Muthurajan
    Genetic Resources and Crop Evolution.2025; 72(4): 3875.     CrossRef
  • Meta-analysis of fonio production systems: prospects for advancing food sustainability and security
    Dolapo B. Adelabu
    Cogent Food & Agriculture.2025;[Epub]     CrossRef
  • Arbuscular Mycorrhizal Fungi and Soil Enzyme Activities in Different Fonio Millet (Digitaria exilis Stapf.) Agroecosystems in Senegal
    Fatou Ndoye, Ibou Diop, Mame Codou Gueye, Oumar Sadio, Mame Oureye Sy, Diegane Diouf, Aboubacry Kane, Abdala Gamby Diedhiou
    Journal of Pure and Applied Microbiology.2024; 18(3): 1866.     CrossRef
  • Revitalization of small millets for nutritional and food security by advanced genetics and genomics approaches
    J. Lydia Pramitha, Jeeva Ganesan, Neethu Francis, Ravikesavan Rajasekharan, Jenita Thinakaran
    Frontiers in Genetics.2023;[Epub]     CrossRef
  • The potentialities of omics resources for millet improvement
    Banshidhar, Saurabh Pandey, Ashutosh Singh, Priyanka Jaiswal, Mithilesh Kumar Singh, Khem Raj Meena, Satish Kumar Singh
    Functional & Integrative Genomics.2023;[Epub]     CrossRef
  • Impact of climate change and adaptations for cultivation of millets in Central Sahel
    Ahmed Abubakar, Mohd Yusoff Ishak, Md. Kamal Uddin, Aminu Sulaiman Zangina, Mohammad Hadi Ahmad, Samir Shehu Danhassan
    Environmental Sustainability.2023; 6(4): 441.     CrossRef
  • Grain yield response of fonio (Digitaria exilis) varieties to fertilizer and cost- effectiveness under two different production systems in The Gambia
    Lamin B Sonko, L Dibba, J Camara, DNA Trawally, MN Faye, DB Jallow, A Nyassi, M Jobe
    African Journal of Food, Agriculture, Nutrition and Development.2022; 22(106): 19062.     CrossRef
  • Mangrove rice biodiversity valorization in Guinea Bissau. A bottom-up approach
    Franco Tesio, Filippo Camerini, Giovanni Maucieri, Carlo Bertini, Streng Cerise
    Experimental Agriculture.2021; 57(4): 244.     CrossRef
  • Fonio grains: Physicochemical properties, nutritional potential, and food applications
    Fan Zhu
    Comprehensive Reviews in Food Science and Food Safety.2020; 19(6): 3365.     CrossRef
  • 15 View
  • 0 Download
  • 11 Crossref
Research Articles
Characterization and Genetic Mapping of White-Spotted Leaf (wspl) Mutant in Rice
Backki Kim, Hyerim Lee, Zhuo Jin, Dongryung Lee, Hee-Jong Koh
Plant Breed. Biotech. 2019;7(4):340-349.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.340

Spotted leaf mutants which produce necrotic lesions spontaneously are important sources to study programmed cell death in plant defense responses. A novel white-spotted leaf (wspl) mutant was induced from Ilpum, Korean japonica rice cultivar by the treatment of ethyl methane sulfonate (EMS). The phenotype of wspl mutant differed from that of other spotted leaf mutants in that not only brown spots but also white lesion mimic spots were observed on the tip of the leaves from the vegetative stage. Strong nitro blue tetrazolium (NBT) and 3, 3ʹ-diaminobenzidine (DAB) staining were observed on the older leaf of wspl mutant in microscopic reactive oxygen species (ROS) assay, and the chlorophyll content of wspl mutant maintained longer than wild-type in the old leaves. Genetic analysis revealed that the wspl mutant trait was controlled by a single recessive gene and the locus of wspl gene was mapped on the long arm of chromosome 5 between the flanking markers S05100 and S05112 (4.1 Mb). Through the combination of the genetic mapping and SNP analysis, two candidate genes for white-spotted leaf were identified in the genic region. A novel phenotype of white-spotted leaf mutant has not yet been reported, thus further study of the wspl mutant will contribute to understanding of the molecular mechanisms involved in lesion mimic phenotype in rice.

Citations

Citations to this article as recorded by  
  • Next generation sequencing-based MutMap identifies genomic regions associated with strong culm in rice
    Pritam Kanti Guha, Anil A. Hake, Kalyani M. Barbadikar, Potupureddi Gopi, Nakul D. Magar, Vishalakshi Balija, C. G. Gokulan, Madhavilatha Kommana, Md Jamaloddin, Anjana Sharma, Raju Madanala, A. Chandra Sekhar, D. Vijaya Raghava Prasad, D. Vijaya Lakshmi,
    Journal of Crop Science and Biotechnology.2026;[Epub]     CrossRef
  • Rice Lesion Mimic Mutants (LMM): The Current Understanding of Genetic Mutations in the Failure of ROS Scavenging during Lesion Formation
    Sang Gu Kang, Kyung Eun Lee, Mahendra Singh, Pradeep Kumar, Mohammad Nurul Matin
    Plants.2021; 10(8): 1598.     CrossRef
  • 3 View
  • 0 Download
  • 2 Crossref
Estimates of Genetic Parameters in Bambara Groundnut {Vigna subterranea (L.) VERDC.}
Nwakuche Chinenye Onwubiko, Michael Ifeanyi Uguru, Grace Ovute Chimdi
Plant Breed. Biotech. 2019;7(4):295-301.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.295

Field evaluation of 33 Bambara groundnut lines were carried out to estimate genetic variability, heritability and genetic advance. One-way analysis of variance (ANOVA) result showed significant differences for 14 of the 17 agronomic traits studied. The results on the variance components revealed that phenotypic variance had values (vigour index 2.30, pod length 10.09, seed length 1.64) that were slightly higher than the respective genotypic variance (vigour index 1.68, pod length 9.88, seed length 0.26). Similarly, the values (number of branches 41.91, number of nodes 68.72, internode length 59.02) of phenotypic coefficient of variation (PCV) were slightly higher than the corresponding genotypic coefficient of variation (GCV) (number of branches 40.11, number of nodes 66.98, internode length 57.31), suggesting a substantial genetic variability that can serve as a base for Bambara groundnut improvement. High estimates of heritability were observed for most characters like number of branches (95.70%), number of nodes (97.46%), internode length (97.10%), pod length (97.91%), and seed length (93.79%). Likewise, genetic advance values for most traits were high, pod length (201), number of nodes (200), internode length (200), number of branches (197) and seed yield (195), implying that improvement of seed yield in Bambara groundnut can be achieved through direct selection.

Citations

Citations to this article as recorded by  
  • Combining ability and gene action in Bambara groundnut (Vigna subterranea (L.) Verdc.) genotypes for agronomic traits
    Nomathemba Gloria Majola, Hussein Shimelis, Abe Shegro Gerrano, Jacob Mashilo
    Euphytica.2025;[Epub]     CrossRef
  • Genetic Analysis and Variability Assessment of Bambara Groundnut (Vigna subterranea L.) Lines Based on Vegetative Traits
    Atiqullah Khaliqi, Ahmad Jawid Pouyesh, Mohd Y Rafii, Md Mahmudul Hasan Khan
    Journal of Natural Science Review .2025; 3(1): 141.     CrossRef
  • Unveiling Genetic Diversity, Characterization, and Selection of Bambara Groundnut (Vigna subterranea L. Verdc) Genotypes Reflecting Yield and Yield Components in Tropical Malaysia
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Yusuff Oladosu, Md Al Mamun, Atiqullah Khaliqi, Fengjie Sun
    BioMed Research International.2022;[Epub]     CrossRef
  • Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Md Al Mamun
    Scientific Reports.2022;[Epub]     CrossRef
  • Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity
    Josef Gastl Filho, Osvaldo Toshiyuki Hamawaki, Ana Paula Oliveira Nogueira, Carolina Oliveira da Silva, Raphael Lemes Hamawaki, Cristiane Divina Lemes Hamawaki
    Ciência e Agrotecnologia.2022;[Epub]     CrossRef
  • Genetic Analysis and Selection Criteria in Bambara Groundnut Accessions Based Yield Performance
    Atiqullah Khaliqi, Mohd Y. Rafii, Norida Mazlan, Mashitah Jusoh, Yusuff Oladosu
    Agronomy.2021; 11(8): 1634.     CrossRef
  • Genetic analysis and selection of Bambara groundnut (Vigna subterranea [L.] Verdc.) landraces for high yield revealed by qualitative and quantitative traits
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Md Al Mamun
    Scientific Reports.2021;[Epub]     CrossRef
  • Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut
    Oluwaseyi Samuel Olanrewaju, Olaniyi Oyatomi, Olubukola Oluranti Babalola, Michael Abberton
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Development of Selection Indices for Improvement of Seed Yield and Lipid Composition in Bambara Groundnut (Vigna subterranea (L.) Verdc.)
    Razlin Azman Halimi, Carolyn A. Raymond, Bronwyn J. Barkla, Sean Mayes, Graham J. King
    Foods.2021; 11(1): 86.     CrossRef
  • Genetic diversity in Bambara groundnut {Vigna subterranea (L.) Verdc.}
    Nwakuche Chinenye Onwubiko
    Agricultura Tropica et Subtropica.2021; 54(1): 89.     CrossRef
  • Genetic Variability, Heritability, and Clustering Pattern Exploration of Bambara Groundnut (Vigna subterranea L. Verdc) Accessions for the Perfection of Yield and Yield‐Related Traits
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Al Mamun, Yue Sheng
    BioMed Research International.2020;[Epub]     CrossRef
  • Enhancing the Nutritional Profile of Noodles With Bambara Groundnut (Vigna subterranea) and Moringa (Moringa oleifera): A Food System Approach
    Hilda Hussin, Peter J. Gregory, Advina L. Julkifle, Gomathy Sethuraman, Xin Lin Tan, Fadhil Razi, Sayed N. Azam-Ali
    Frontiers in Sustainable Food Systems.2020;[Epub]     CrossRef
  • 12 View
  • 0 Download
  • 12 Crossref
Estimating Pedigree-Based Breeding Values and Stability Parameters of Elite Rice Breeding Lines for Yield under Salt Stress during the Boro Season in Bangladesh
M. Ruhul Quddus, M. Akhlasur Rahman, Nusrat Jahan, Sanjoy K. Debsharma, Ribed F. Disha, M. Moniruzzaman Hasan, Tamal L. Aditya, KM Iftekharuddaula, Bertrand C.Y. Collard
Plant Breed. Biotech. 2019;7(3):257-271.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.257

In salinity affected areas, variation in salinity level is the major cause of yield fluctuations in rice during the dry season (boro season). To sustain food security in Bangladesh, plant breeders need to develop new rice varieties which are higher yielding, salinity tolerant and stable across different environments. We evaluated the yield performance and stability of 51 rice elite genotypes including two salinity tolerant rice varieties (BRRI dhan67 and BINA dhan-10) and the dominant boro rice variety (BRRI dhan28) in three locations, including a salinity “hotspot”. Best linear unbiased predictions (BLUPs) were used to identify superior genotypes from multi-environment trials. Selection from a large set of candidates is required for evaluation and recommending a new variety for release. Estimated breeding values (EBVs) were used to select parents. Six parents with high EBVs (BR8982-5, IR 87870-6-1-1-1-1-B; BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14) would be useful as parents to develop new breeding populations. To evaluate yield performance and stability across environments, we used additive main effects and multiplicative interaction (AMMI) model using a randomized complete block design with two replications. Genotype × environmental analysis was performed using GGE biplot analysis. Based on yield performance and stability, BR8982-5, IR 87870-6-1-1-1-1-B, BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14 were promising across the tested environments, as they showed yield advantages over check varieties. The results in this study will be useful for selecting the elite lines suitable for salinity affected areas and parents for rapid breeding of salinity tolerance.

Citations

Citations to this article as recorded by  
  • Identification of elite rice lines with better breeding values using genomic prediction and multi-trait genotype ideotype distance index (MGIDI) for grain yield under irrigation cropping system
    S. S. Chaity, M. R. Islam, M. Faruquee, J. U. Ahmed, A. K. M. Aminul Islam, C Anilkumar
    PLOS One.2026; 21(2): e0340188.     CrossRef
  • Mean deviation is reliable parameter for evaluating inbred-line yield potential in hybrid breeding
    Y.D. Zhang, H.M. Chen, Z.W. Li, W.H. Yao, F.Y. Jiang, T.Z. Wang, I. Babar, C.X. Xu
    Journal of Crop Improvement.2026; 40(3): 320.     CrossRef
  • Identification of High-Performing and Stable Pearl Millet Genotypes Using Multi-trait Stability Index
    Tripti Singhal, C. Tara Satyavathi, S. P. Singh, Mukesh Sankar, Sunaina Yadav, M. Mallik, C. Bharadwaj
    Agricultural Research.2026; 15(1): 92.     CrossRef
  • AMMI analysis of elite bread wheat (Triticum aestivum L.) selections for genotype by environment interaction and stability of grain yield in Southern Ethiopia
    Liyew Alemayehu, Mesfin Kebede, Eyasu Wada, Mehdi Rahimi
    PLOS ONE.2025; 20(1): e0318559.     CrossRef
  • Multivariate analysis for identifying high-yielding rice cultivars based on seed yield and morphological traits
    Md. Asadulla Al Galib, Sumaiya Farzana, Tusher Chakrobarty, Mohammad Zahidul Islam, Bir Jahangir Shirazy, Md. Akhlasur Rahman, Shahin Imran, Md. Tahjib-Ul-Arif, Mohammad Saidur Rhaman
    Discover Plants.2025;[Epub]     CrossRef
  • Cultivating sustainable futures: multi-environment evaluation and seed yield stability of faba bean (Vicia faba L.) genotypes by using different stability parameters in Ethiopia
    Demekech Wondaferew, Destaw Mullualem, Walelgn Bitewlgn, Zelalem Kassa, Yekoye Abebaw, Habib Ali, Kelelaw Kebede, Tessema Astatkie
    BMC Plant Biology.2024;[Epub]     CrossRef
  • Identification and evaluation of high-performing advanced germplasm of rice through morphological and breeding value analysis
    Md. Ariful Islam, Md. Moniruzzaman Hasan, Mohammad Anwar Hossain, Md. Ashraful Haque, Md. Nur Alam Siddique, Md. Shamsuddoha, Muhammad Ashraful Habib, Sumaiya Sultana Risha
    Discover Agriculture.2024;[Epub]     CrossRef
  • Bunch component performance of AVROS and Yangambi population
    A N Simamora, H Y Rahmadi, Y Yenni, Sujadi, H A Siregar, N Supena, M Arif, E Supriyanto, A R Purba
    IOP Conference Series: Earth and Environmental Science.2024; 1308(1): 012017.     CrossRef
  • Developing climate-resilient rice varieties (BRRI dhan97 and BRRI dhan99) suitable for salt-stress environments in Bangladesh
    Sanjoy K. Debsharma, M. Akhlasur Rahman, Mahmuda Khatun, Ribed F. Disha, Nusrat Jahan, Md. Ruhul Quddus, Hasina Khatun, Sharifa S. Dipti, Md. Ibrahim, K. M. Iftekharuddaula, Md. Shahjahan Kabir, Md Ashrafuzzaman
    PLOS ONE.2024; 19(1): e0294573.     CrossRef
  • Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses
    Destaw Mullualem, Alemu Tsega, Tesfaye Mengie, Desalew Fentie, Zelalem Kassa, Amare Fassil, Demekech Wondaferew, Temesgen Assefa Gelaw, Tessema Astatkie
    Heliyon.2024; 10(12): e32918.     CrossRef
  • Comparative analysis of parametric and non-parametric statistics for grain yield stability in rice (Oryza sativa L.)
    Hari Kesh, Khushi Ram Battan, Mujahid Khan
    Vegetos.2024; 38(2): 686.     CrossRef
  • B × R cross de rived parental line development using breeding value: A new model for hybrid rice parental line development
    Md. Ruhul Quddus, Md. Jamil Hasan, Mst. Umma Kulsum, Satyen Mondal
    Plant Gene.2023; 36: 100431.     CrossRef
  • SNP Based Trait Characterization Detects Genetically Important and Stable Multiple Stress Tolerance Rice Genotypes in Salt-Stress Environments
    Sanjoy K. Debsharma, Mohammad Akhlasur Rahman, Mohammad Ruhul Quddus, Hasina Khatun, Ribed F. Disha, Popy R. Roy, Sharif Ahmed, Mohamed El-Sharnouby, Khandakar Md. Iftekharuddaula, Salman Aloufi, Fahad M. Alzuaibr, Mohammed Alqurashi, Mohamed I. Sakran, M
    Plants.2022; 11(9): 1150.     CrossRef
  • Harnessing on Genetic Variability and Diversity of Rice (Oryza sativa L.) Genotypes Based on Quantitative and Qualitative Traits for Desirable Crossing Materials
    Sanjoy K. Debsharma, Md. Abu Syed, Md. Hannan Ali, Sheikh Maniruzzaman, Popy R. Roy, Marian Brestic, Ahmed Gaber, Akbar Hossain
    Genes.2022; 14(1): 10.     CrossRef
  • Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments
    Xing Huang, Su Jang, Backki Kim, Zhongze Piao, Edilberto Redona, Hee-Jong Koh
    Agriculture.2021; 11(6): 558.     CrossRef
  • Estimating Breeding Value of Agronomic Traits in Oriental Tobacco Genotypes under Broomrape Stress and Normal Conditions
    Maryam Tahmasbali, Reza Darvishzadeh, Amir Fayaz Moghaddam
    Plant Genetic Researches.2020; 7(1): 103.     CrossRef
  • Application of Pedimap: a pedigree visualization tool to facilitate the decisioning of rice breeding in Sri Lanka
    Rasika Rathnayake, Shehan Sahibdeen, Kapila Udawela, Cholani Weebadde, Wijayasiri Weerakoon, Suneth Sooriyapathirana
    Scientific Reports.2020;[Epub]     CrossRef
  • 7 View
  • 0 Download
  • 17 Crossref
DNA Barcoding for Efficient Identification of Triticum Subspecies: Evaluation of Four Candidate Loci on Phylogenetic Relationships
Sebastin Raveendar, Gi-An Lee, Kyung Jun Lee, Myoung-Jae Shin, Seong Hoon Kim, Jung-Ro Lee, Gyu-Taek Cho, Do Yoon Hyun
Plant Breed. Biotech. 2019;7(3):220-228.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.220

Since traditional taxonomic studies possess intrinsic limitations with plant species identification, combinations of DNA barcodes have been considered a powerful tool to discover undetected genetic variation within species across large geographic areas, providing more precise estimates of biodiversity. However, the lack of efficient and universal markers is often considered a peculiar challenge in molecular taxonomic studies across plant taxa. Similarly, many loci have been proposed for DNA barcodes; still standardizing regions as a DNA barcode is vital for making them efficiently discriminate plant species. In this study, we tested the phylogenetic utility of nuclear (nrDNA) region (ITS2) with chloroplast (cpDNA) regions (matK, psbA-trnH, and rbcL) for efficient discrimination of Triticum species. A total of 109 accessions representing 16 recognized genotypes in the Triticum genus have been sampled to assess the efficiency of barcoding loci to resolve species discrimination. As expected from earlier studies, our results also revealed that a single locus has difficulty in discriminating Triticum species. Species discrimination in Triticum taxa was martially improved by using a combination of gene loci; however, the closely related species, T. aestivum and T. turgidum, had no DNA barcode to separate them. Thus, we recommend further research on finding species-specific SNP using intragenic regions as standard DNA barcode loci in Poaceae.

Citations

Citations to this article as recorded by  
  • Valorizing Traditional Greek Wheat Varieties: Phylogenetic Profile and Biochemical Analysis of Their Nutritional Value
    Niki Mougiou, Spyros Didos, Ioanna Bouzouka, Athina Theodorakopoulou, Michael Kornaros, Ioannis Mylonas, Anagnostis Argiriou
    Agronomy.2023; 13(11): 2703.     CrossRef
  • Multilocus marker-based delimitation of Salicornia persica and its population discrimination assisted by supervised machine learning approach
    Rahul Jamdade, Khawla Al-Shaer, Mariam Al-Sallani, Eman Al-Harthi, Tamer Mahmoud, Sanjay Gairola, Hatem A. Shabana, Branislav T. Šiler
    PLOS ONE.2022; 17(7): e0270463.     CrossRef
  • In vitro propagation for conservation and genetic fidelity of the near threatened Dimocarpus longan plant
    Manal El-salato Ala El-naby Ahmed
    Journal of Genetic Engineering and Biotechnology.2022; 20(1): 130.     CrossRef
  • Association analysis and evaluation of genetic diversity in wheat genotypes using SSR markers
    S. Farhangian-kashani, A. Azadi, Sh. Khaghani, M. Changizi, M. Gomarian
    Biologia Futura.2021; 72(4): 441.     CrossRef
  • Genotyping-by-Sequencing Derived Single Nucleotide Polymorphisms Provide the First Well-Resolved Phylogeny for the Genus Triticum (Poaceae)
    Do Yoon Hyun, Raveendar Sebastin, Kyung Jun Lee, Gi-An Lee, Myoung-Jae Shin, Seong Hoon Kim, Jung-Ro Lee, Gyu-Taek Cho
    Frontiers in Plant Science.2020;[Epub]     CrossRef
  • In vitro propagation and DNA barcode analysis of the endangered Silene schimperiana in Saint Katherine protectorate
    Heba El-Sayed Ghareb, Shafik Darwish Ibrahim, Ghada Abd El-Moneim Hegazi
    Journal of Genetic Engineering and Biotechnology.2020; 18(1): 41.     CrossRef
  • 5 View
  • 0 Download
  • 6 Crossref
Kompetitive Allele-Specific PCR Marker Development and Quantitative Trait Locus Mapping for Bakanae Disease Resistance in Korean Japonica Rice Varieties
Kyeong-Seong Cheon, Young-Min Jeong, Youn-Young Lee, Jun Oh, Do-Yu Kang, Hyoja Oh, Song Lim Kim, Nyunhee Kim, Eungyeong Lee, Jeongho Baek, Inchan Choi, Kyung-Hwan Kim, Yong Jae Won, In Sun Yoon, Young-il Cho, Jung-Heon Han, Hyeonso Ji
Plant Breed. Biotech. 2019;7(3):208-219.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.208

High-throughput molecular markers with high genotyping accuracy will be helpful for genetic analysis, mapping of interesting genes, and rice breeding program. To develop high-throughput and cost-effective molecular markers for Korean japonica rice varieties, which are closely-related genetically, we designed kompetitive allele-specific polymerase chain reaction (KASP) assays from the sequence data of 13 Korean japonica rice varieties. Of the 504 new KASP assays, 371 (73.6%) showed polymorphisms among the tested varieties. In addition to the 400 previously developed KASP markers, this resulted in 771 KASP markers being applicable for Korean japonica rice varieties. These KASP markers were used to map the quantitative trait loci (QTLs) for rice bakanae disease (BD) resistance. From the results of QTL mapping and determination of the mortality rate of BD in two F2:F3 populations, a major QTL, qFfR1-1, and a novel QTL, qFfR6, were revealed on chromosome 1 in the Junam/Nampyeong F2:F3 population and on chromosome 6 in the Saenuri/Nampyeong F2:F3 population, respectively. Further, the insertion/deletion markers in the qFfR1-1 region were developed to select BD-resistant japonica rice varieties. The 771 developed KASP markers will accelerate the molecular breeding in Korean japonica rice varieties, and the detected QTLs will be helpful in identifying candidate genes for BD resistance.

Citations

Citations to this article as recorded by  
  • Genetic Diversity and Structural Network Analysis of Korean Rice Varieties Using TCS-based SNPs
    Chang-Min Lee, Hyun-Su Park, Jeonghwan Seo, Song-Hee Park, O-Young Jeong, Keon-Mi Lee, Seul-Gi Park
    Korean Journal of Breeding Science.2026; 58(1): 1.     CrossRef
  • QTL Analysis for Heading Date and Yield-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between ‘Koshihikari’ and ‘IS592BB’
    Hyun-Su Park, Jeonghwan Seo, Songhee Park, Jae-Ryoung Park, Keon-Mi Lee, O-Young Jeong
    Korean Journal of Breeding Science.2026; 58(2): 147.     CrossRef
  • Genome-Wide Association Study to identify Bakanae disease resistance-related QTLs carrying novel candidate genes in rice (Oryza sativa L.)
    Yuting Zeng, Fang-Yuan Cao, Ah-Rim Lee, Dongryung Lee, Backki Kim, Soon-Wook Kwon
    npj Science of Plants.2025;[Epub]     CrossRef
  • Genome-wide association mapping of bakanae disease resistance in rice
    Istiaq Ahmed, Stephen Woodward, Gareth J. Norton
    Computational Biology and Chemistry.2025; 119: 108538.     CrossRef
  • QTL Analysis for Yield and Grain-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between ‘Boramchan’ and ‘Pecos’
    Hyun-Su Park, Chang-Min Lee, Jeonghwan Seo, Songhee Park, Keon-Mi Lee, Jae-Ryoung Park, O-Young Jeong
    Korean Journal of Breeding Science.2025; 57(2): 131.     CrossRef
  • Quantitative Trait Locus Analysis for Quality-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between “Boramchan” and “Pecos” Japonica Rice
    Hyun-Su Park, Chang-Min Lee, Jeonghwan Seo, Songhee Park, Hyeonso Ji, Keon-Mi Lee, Jae-Ryoung Park, O-Young Jeong
    Korean Journal of Breeding Science.2025; 57(4): 373.     CrossRef
  • Genomic Regions and Molecular Markers Associated with Deeper Rooting to Improve Grain Yield in Aerobic Rice (Oryza sativa L.) Production Systems
    Wenliu Gong, Ricky Vinarao, Christopher Proud, Shona Wood, Peter Snell, Shu Fukai, Jaquie Mitchell
    Rice.2025;[Epub]     CrossRef
  • Map-Based Cloning and Characterization of a Major QTL Gene, FfR1, Which Confers Resistance to Rice Bakanae Disease
    Hyeonso Ji, Kyeong-Seong Cheon, Yunji Shin, Chaewon Lee, Seungmin Son, Hyoja Oh, Dong-Kyung Yoon, Seoyeon Lee, Mihyun Cho, Soojin Jun, Gang-Seob Lee, Jeongho Baek, Song Lim Kim, Il-Pyung Ahn, Jae-Hyeon Oh, Hye-Jin Yoon, Young-Soon Cha, Kyung-Hwan Kim
    International Journal of Molecular Sciences.2024; 25(11): 6214.     CrossRef
  • QTL Analysis for Pre-Harvest Sprouting and Low-Temperature Germinability Using Recombinant Inbred Lines Derived from a Cross between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Heyonso Ji, Gileung Lee, Chang-Min Lee, Jae-Ryoung Park, Songhee Park, Keon-Mi Lee, Mina Jin, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(2): 79.     CrossRef
  • Quantitative Trait Loci Analysis of Quality-Related Traits Using Recombinant Inbred Lines Derived from a Cross between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Chang-Min Lee, Songhee Park, Keon-Mi Lee, Jae-Ryoung Park, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(4): 395.     CrossRef
  • QTL Analysis for Yield-Related Traits Using the Recombinant Inbred Lines Derived From a Cross Between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Songhee Park, Jae-Ryoung Park, Chang-Min Lee, Mina Jin, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(1): 31.     CrossRef
  • Bakanae Disease Resistance in Rice: Current Status and Future Considerations
    Liwei Zhan, Ling Chen, Yuxuan Hou, Yuxiang Zeng, Zhijuan Ji
    Agronomy.2024; 14(7): 1507.     CrossRef
  • Identification of qBK2.1, a novel QTL controlling rice resistance against Fusarium fujikuroi
    Szu-Yu Chen, Ming-Hsin Lai, Yi-Ling Chu, Dong-Hong Wu, Chih-Wei Tung, Yue-Jie Chen, Chia-Lin Chung
    Botanical Studies.2023;[Epub]     CrossRef
  • Evaluation of Major Rice Varieties for Bakanae Disease Resistance in Korea
    Sais-Beul Lee, Ju-Won Kang, Ji-Yoon Lee, Gi-Un Seong, Youngho Kwon, So-Myeong Lee, Nkulu Rolly Kabang, Jun-Hyeon Cho, Seong-Hwan Oh, Dongjin Shin, Jong-Hee Lee, Ki-Won Oh, Dong-Soo Park
    Korean Journal of Breeding Science.2023; 55(2): 103.     CrossRef
  • Current insights on rice (Oryza sativa L.) bakanae disease and exploration of its management strategies
    Chinnannan Karthik, Qingyao Shu
    Journal of Zhejiang University-SCIENCE B.2023; 24(9): 755.     CrossRef
  • Fine mapping of qBK1.2, a major QTL governing resistance to bakanae disease in rice
    Amar Kant Kushwaha, Ranjith Kumar Ellur, Sarvesh Kumar Maurya, Gopala Krishnan S., Bishnu Maya Bashyal, Prolay Kumar Bhowmick, K. K. Vinod, Haritha Bollinedi, Nagendra Kumar Singh, Ashok Kumar Singh
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Molecular Breeding of Zheyou810, an Indica–Japonica Hybrid Rice Variety with Superior Quality and High Yield
    Jian Song, Yongtao Cui, Honghuan Fan, Liqun Tang, Jianjun Wang
    Agriculture.2023; 13(9): 1807.     CrossRef
  • The Multiple Disease-resistant, Mid-late Maturing Rice Cultivar ‘Chamdongjin’, Carrying the Bacterial Blight Resistance Gene Xa21, with the Genetic Background of ‘Sindongjin’
    Hyun-Su Park, Man-Kee Baek, Woo-Jae Kim, Jung-Pil Suh, Jeom-Ho Lee, Ji-Ung Jeung, Choon-Song Kim, O-Young Jeong, Deok-Ryeol Lee, Chang-Min Lee, Jong-Min Jeong, Young-Jun Mo, Su-Kyung Ha, Dong-Kyu Lee, Hyeonso Ji, Jeonghwan Seo, Jae-Ryoung Park, Hyun-Sook
    Korean Journal of Breeding Science.2023; 55(1): 86.     CrossRef
  • KASP mapping of QTLs for yield components using a RIL population in Basmati rice (Oryza sativa L.)
    Hamza Ashfaq, Reena Rani, Naila Perveen, Allah Ditta Babar, Umer Maqsood, Muhammad Asif, Katherine A. Steele, Muhammad Arif
    Euphytica.2023;[Epub]     CrossRef
  • Development and Application of a Target Capture Sequencing SNP-Genotyping Platform in Rice
    Chaewon Lee, Kyeong-Seong Cheon, Yunji Shin, Hyoja Oh, Young-Min Jeong, Hoon Jang, Yong-Chan Park, Kyung-Yun Kim, Hang-Chul Cho, Yong-Jae Won, Jeongho Baek, Young-Soon Cha, Song-Lim Kim, Kyung-Hwan Kim, Hyeonso Ji
    Genes.2022; 13(5): 794.     CrossRef
  • Identification of Grain Size-Related QTLs in Korean japonica Rice Using Genome Resequencing and High-Throughput Image Analysis
    Yunji Shin, Yong Jae Won, Chaewon Lee, Kyeong-Seong Cheon, Hyoja Oh, Gang-Seob Lee, Jeongho Baek, In Sun Yoon, Song Lim Kim, Young-Soon Cha, Kyung-Hwan Kim, Hyeonso Ji
    Agriculture.2022; 12(1): 51.     CrossRef
  • Characterization and QTL Mapping of a Major Field Resistance Locus for Bacterial Blight in Rice
    Jae-Ryoung Park, Chang-Min Lee, Hyeonso Ji, Man-Kee Baek, Jeonghwan Seo, O-Young Jeong, Hyun-Su Park
    Plants.2022; 11(11): 1404.     CrossRef
  • Breeding of High Cooking and Eating Quality in Rice by Marker-Assisted Backcrossing (MABc) Using KASP Markers
    Me-Sun Kim, Ju-Young Yang, Ju-Kyung Yu, Yi Lee, Yong-Jin Park, Kwon-Kyoo Kang, Yong-Gu Cho
    Plants.2021; 10(4): 804.     CrossRef
  • Recent Advances in Rice Varietal Development for Durable Resistance to Biotic and Abiotic Stresses through Marker-Assisted Gene Pyramiding
    Md Azadul Haque, Mohd Y. Rafii, Martini Mohammad Yusoff, Nusaibah Syd Ali, Oladosu Yusuff, Debi Rani Datta, Mohammad Anisuzzaman, Mohammad Ferdous Ikbal
    Sustainability.2021; 13(19): 10806.     CrossRef
  • Genomic Variation in Korean japonica Rice Varieties
    Hyeonso Ji, Yunji Shin, Chaewon Lee, Hyoja Oh, In Sun Yoon, Jeongho Baek, Young-Soon Cha, Gang-Seob Lee, Song Lim Kim, Kyung-Hwan Kim
    Genes.2021; 12(11): 1749.     CrossRef
  • Evaluation of the Rsistant to Bakanae Disease in Korean Rice Landraces (Oryza sativa L.)
    Soon-Wook Kwon, Na-Eun Kim, Sang-Hyeon Jin, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
    Plant Breeding and Biotechnology.2021; 9(4): 355.     CrossRef
  • QTL mapping for pre-harvest sprouting resistance in japonica rice varieties utilizing genome re-sequencing
    Kyeong-Seong Cheon, Yong Jae Won, Young-Min Jeong, Youn-Young Lee, Do-Yu Kang, Jun Oh, Hyoja Oh, Song Lim Kim, Nyunhee Kim, Eungyeong Lee, In Sun Yoon, Inchan Choi, Jeongho Baek, Kyung-Hwan Kim, Hyun-Su Park, Hyeonso Ji
    Molecular Genetics and Genomics.2020; 295(5): 1129.     CrossRef
  • Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi
    An-Po Cheng, Szu-Yu Chen, Ming-Hsin Lai, Dong-Hong Wu, Shih-Shun Lin, Chieh-Yi Chen, Chia-Lin Chung
    Rice.2020;[Epub]     CrossRef
  • Marker integration and development of Fluidigm/KASP assays for high-throughput genotyping of radish
    Hee-Ju Yu, Young-Min Jeong, Young-Joon Lee, Bomi Yim, Ara Cho, Jeong-Hwan Mun
    Horticulture, Environment, and Biotechnology.2020; 61(4): 767.     CrossRef
  • Development of 454 New Kompetitive Allele-Specific PCR (KASP) Markers for Temperate japonica Rice Varieties
    Kyeong-Seong Cheon, Young-Min Jeong, Hyoja Oh, Jun Oh, Do-Yu Kang, Nyunhee Kim, Eungyeong Lee, Jeongho Baek, Song Lim Kim, Inchan Choi, In Sun Yoon, Kyung-Hwan Kim, Yong Jae Won, Young-il Cho, Jung-Heon Han, Hyeonso Ji
    Plants.2020; 9(11): 1531.     CrossRef
  • Multiple Disease Resistant Early Maturing Rice Cultivar ‘IS592BB’ with the Genetic Background of ‘Unkwang’
    Hyun-Su Park, Man-Kee Baek, Woo-Jae Kim, Chang-Min Lee, Hyeonso Ji, Jung-Pil Suh, O-Young Jeong, Young-Chan Cho, Jeom-Ho Lee
    Korean Journal of Breeding Science.2020; 52(4): 473.     CrossRef
  • 12 View
  • 0 Download
  • 31 Crossref