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Volume 6(2); June 2018

Research Articles
Genotype by Planting Date Effects on Cowpea in Humid Fringes, Southeast Nigeria
Godson Emeka Nwofia, Chinenye Rozzy Onyekwere, Emmanuel Ukaobasi Mbah
Plant Breed. Biotech. 2018;6(2):95-108.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.95

A two-year factorial arranged field experiment in randomized complete block design with three replications was carried out in 2014 and 2015 at Michael Okpara University of Agriculture Teaching and Research Farm, Umudike (latitude 05° 29′N; longitude 07° 33′E; altitude 122 m above sea level), Nigeria. The
objective
s were to assess growth and yield response of twenty newly released cowpea genotypes to different planting dates (July, August and September). Plant height, number of leaves/plant, number of branches/plant, shoot biomass, total dry matter, number of nodules/plant, weight of pod, number of seeds/pod, seed weight/pod and grain yield varied amongst the genotypes and across the different planting dates in both years. The association between grain yield and other variables analysed across both years was significant and positive except 100-seed weight and the phenological characters of the plant. Path coefficients analysis across two years indicated that seed weight/pod followed by number of branches/plant and number of seeds/pod had positive direct effect on grain yield of cowpea in contrast to characters that exhibited negative but direct effect on yield. The other traits had relatively negligible to low indirect effects that were positive through other component traits. The grain yield sequence of interaction between genotype and date of planting was in this order: IT06K-141 planted in July > IT11K-61-82 planted in September > IT99K-573-1-1 planted in August. IT06K-141 genotype was considered to be better endowed genetically while the mean across both years indicated August as appropriate planting date to ensure high and sustainable grain yield.

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Growth Characteristics and Biological Responses of Korean Elite Soybean (Glycine max L. Merr.) Cultivars Exposed to Gamma-Rays
Juhyun Im, Jaihyunk Ryu, Woon Ji Kim, Sang Hun Kim, Si-Yong Kang, Bo-Keun Ha
Plant Breed. Biotech. 2018;6(2):109-118.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.109

The present study was conducted to evaluate the biological responses of soybean irradiated by gamma-rays. Four elite Korean soybean cultivars, Kwangankong, Shinpaldal-2, Shinhwakong, and Ilmikong, were irradiated with 100–400 Gy of gamma-rays. All cultivars showed significant reductions in morphological parameters. Seedling emergence rates of Kwangankong, Shinpaldal-2, Shinhwakong, and Ilmikong decreased by 46%, 31%, 44%, and 43% at 400 Gy, respectively. Plant height and fresh weight decreased with increasing dose. The median reduction dose (RD50) for plant height ranged from 184 to 278 Gy with an average of 212 Gy. The optimal dose of gamma irradiation for inducing mutation in the four elite soybean cultivars was in the range 200–300 Gy. Contents of malonaldehyde (MDA) in the gamma-ray irradiated plants were higher than those in the controls. With the exception of Kwangankong, activities of ascorbate peroxidase (APX) in other cultivars decreased at 100 Gy and started to increase significantly at 200 Gy and Shinhwakong cultivar had highest APX value observed at 300 Gy. No significant changes in peroxidase (POD) activity were observed in the Kwangankong, Shinpaldal-2, and Shinhwakong, while, POD activity increased with increasing dose in Ilmikong. In addition, gamma-ray treatments elicited a marked reduction in chlorophyll a contents compared to chlorophyll b contents in Kwangankong, Shinpaldal-2, and Ilmikong. Growth characteristics (plant height and fresh weight) were highly negatively (P < 0.01) correlated with the dose of gamma-rays, while the MDA content and APX activities were positively (P < 0.05) correlated with dose.

Citations

Citations to this article as recorded by  
  • Growth and biological responses of soybean cultivars to gamma-ray and electron beam irradiation
    Jeong Woo Lee, Jung Min Kim, Dae June Kim, Jin-Mun Yun, Jin-Baek Kim, Min Jeong Hong, Chan Seop Ko, Joon-Woo Ahn, Bo-Keun Ha, Soon-Jae Kwon
    International Journal of Radiation Biology.2026; 102(5): 520.     CrossRef
  • Mutation induction in soybean (Glycine max L.) M.1.1.3 line through gamma irradiation in the M1 generation
    Nilahayati, D Saputra, Neni, Yuliasti
    IOP Conference Series: Earth and Environmental Science.2025; 1490(1): 012040.     CrossRef
  • Stimulating growth parameters by magnetic field in irradiated with gamma radiation soybean varieties
    Name Özdinç, Fehime Sevil Yalçın
    Radiation Effects and Defects in Solids.2025; : 1.     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
  • Radio-sensitivity of diverse tomato genotypes with respect to optimization of gamma irradiation dose
    Soham Hazra, Shouvik Gorai, Sudip Bhattacharya, Suvojit Bose, Pranab Hazra, Arup Chattopadhyay, Anirban Maji
    Brazilian Journal of Botany.2022; 45(3): 917.     CrossRef
  • Gamma-ray Irradiation on Radio Sensitivity in Cnidium officinale Makino
    Jin Tae Jeong, Bo Keun Ha, Jong Won Han, Jeong Hoon Lee, Sang Hoon Lee, Myeong Won Oh, Chun Geon Park, Kyung Ho Ma, Jae Ki Chang, Sang Hoon Kim, Jin Baek Kim, Si Yong Kang, Jai Hyunk Ryu
    Korean Journal of Medicinal Crop Science.2020; 28(5): 339.     CrossRef
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The Human Drug Auranofin Inhibits the Growth of Xanthomonas oryzae pv. oryzae and Magnaporthe oryzae, Which Cause Rice Leaf Blight and Blast
Sung-Il Kim, Han Yong Lee, Jong Tae Song, Hak Soo Seo
Plant Breed. Biotech. 2018;6(2):119-124.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.119

Pathogen attack and abiotic stress affect grain yields in rice fields worldwide. Rice leaf blast is caused by the fungal pathogen Magnaporthe oryzae, whereas rice leaf blight is caused by the bacterial pathogen Xanthomonas oryzae pv. oryzae (Xoo). Rice leaf blast and blight, the two most destructive diseases in rice, result in huge yield losses. We therefore tried to identify a chemical that could be utilized as an inhibitor of rice leaf blast and blight. Here, we show that both bacterial-induced rice blight and fungal-induced rice blast can be controlled by auranofin, an anti-rheumatoid arthritis and anti-cancer drug used in humans. Auranofin directly inhibited the growth of four Xoo strains, including PXO99, KACC10208, 1209, and 1308. In addition, auranofin effectively controlled the growth of 10 M. oryzae strains, including KACC46531, 46532, 46534, 46535, 46536, 46538, 46540, 46541, 46542, and 46544, although its effect on M. oryzae was weaker than that on Xoo. These results suggest that auranofin can be applied to rice to block both rice leaf blight and blast caused by Xoo and M. oryzae, respectively.

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Comparative SNP Analysis of Chloroplast Genomes and 45S nrDNAs Reveals Genetic Diversity of Perilla Species
Kyeong-Seong Cheon, In-Seon Jeong, Kyung-Hee Kim, Myoung-Hee Lee, Tae-Ho Lee, Jeong-Hee Lee, Ung-Han Yoon, Romika Chandra, Ye-Ji Lee, Tae-Ho Kim
Plant Breed. Biotech. 2018;6(2):125-139.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.125

Perilla species belong to the Lamiaceae family of flowering plants and are widely grown in East Asia, for use in a traditional herbal medicine or functional food. To identify single nucleotide polymorphisms (SNPs) in Perilla species and conduct a phylogenomic analysis, we determined the complete sequences of the chloroplast (cp) genome and 45S nuclear ribosomal DNA (45S nrDNA) of six cultivated and three wild Perilla species. The complete cp genome ranged in size from 152,588 bp to 152,656 bp and the length variation in cp genomes was 68 bp. The length of the 45S nrDNA ranged from 6,235 bp to 8,303 bp and the main variation of length differences was in the intergenic spacer (IGS) region. Comparative analysis of the cp genome sequences of nine Perilla species showed low genetic diversity at the intra- and inter-species level. Using SNP analysis, we detected 42 synonymous SNPs (sySNPs) from 27 genes and 37 non-synonymous SNPs (nsSNPs) from 15 genes. A comparison of the 45S nrDNA sequences revealed two SNPs in the 18S rRNA, five SNPs in the 26S rRNA, three SNPs and two InDels in the internal transcribed spacer (ITS) 1 region, and six SNPs in the ITS 2 region. Our phylogenomic analysis suggests that the tetraploidization of Perilla cultivars may have arisen from the P. citriodora genome. The genotyping data from this study may be used to develop molecular markers associated with useful traits for use in Perilla breeding.

Citations

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  • Construction of a core collection of tomato (Solanum lycopersicum) germplasm based on phenotypic traits and SNP markers
    Xiang Chen, Yi-Yang Liu, Fu-Shun Zheng, Guo-Xin Cheng, Meng Guo, Jian-She Li, Xiao-Min Wang
    Scientia Horticulturae.2025; 339: 113855.     CrossRef
  • Comparative Analysis of Chloroplast Promoters for Optimized Production of Recombinant Proteins in Plants
    Juho Lee, Woo-Hyun Jeong, Seon-Kyeong Lee, Kyeong-Ryeol Lee, Sichul Lee, Beom-Gi Kim
    Korean Journal of Breeding Science.2025; 57(4): 359.     CrossRef
  • Plastome sequences fail to resolve shallow level relationships within the rapidly radiated genus Isodon (Lamiaceae)
    Ya-Ping Chen, Fei Zhao, Alan J. Paton, Purayidathkandy Sunojkumar, Lian-Ming Gao, Chun-Lei Xiang
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Foliose Ulva Species Show Considerable Inter‐Specific Genetic Diversity, Low Intra‐Specific Genetic Variation, and the Rare Occurrence of Inter‐Specific Hybrids in the Wild
    Antoine Fort, Marcus McHale, Kevin Cascella, Philippe Potin, Björn Usadel, Michael D. Guiry, Ronan Sulpice
    Journal of Phycology.2021; 57(1): 219.     CrossRef
  • Heterogeneous Genetic Diversity Estimation of a Promising Domestication Medicinal Motherwort Leonurus Cardiaca Based on Chloroplast Genome Resources
    Jiahui Sun, Yiheng Wang, Thomas Avery Garran, Ping Qiao, Mengli Wang, Qingjun Yuan, Lanping Guo, Luqi Huang
    Frontiers in Genetics.2021;[Epub]     CrossRef
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Genetic Analysis and Mapping of Genes for Culm Length and Internode Diameter in Progeny from an Interspecific Cross in Rice
Yun-A Jeon, Yun-Joo Kang, Kyu-Chan Shim, Hyun-Sook Lee, Lu Xin, Ju-Won Kang, Sang-Nag Ahn
Plant Breed. Biotech. 2018;6(2):140-146.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.140

In this study, two near-isogenic lines (NILs) were selected from a series of chromosome segment substitution lines developed from an interspecific cross between Oryza sativa ssp. japonica cultivar ‘Hwaseongbyeo’ as a recipient parent and wild rice (Oryza grandiglumis) as the donor parent. Compared with Hwaseongbyeo control, one NIL (CR222) had reduced plant height and the other NIL (CR7501) displayed thicker basal and first internodes leading to increased lodging tolerance in the field condition. QTL analysis using progeny from crosses between Hwaseongbyeo and the NILs indicated that QTL for culm length and internode diameter leading to erect panicle were located on chromosomes 1 and 2, respectively. The major QTL for culm length on chromosome 1 was allelic to sd1 locus and the NIL showed the same sequence as the sd1 mutant cultivar ‘Reimei’. The QTL for the internode diameter was delimited to a 1-Mbp region on chromosome 2 and this QTL region harbors GW2 gene controlling grain width. The NIL with thick internode trait showed no undesirable pleiotropic effects and therefore has potential value for rice breeding for increasing lodging resistance.

Citations

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  • Identification of QTLs for internode length and diameter associated with lodging resistance in rice
    Qiuyun Lin, Ping Gan, Yujie Zhou, Yuehui Lin, Zhenyu Xie, Wei Hu
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Characterization of QTLs for diameter in panicle neck and substitution mapping of qDPN5/qVBN5.2 and qVBN6 in rice (Oryza sativa L.)
    Ha Thi Le Nguyen, Ami Yoshiura, Shao-Hui Zheng, Daisuke Fujita
    Breeding Science.2024; 74(4): 337.     CrossRef
  • Strong culm: a crucial trait for developing next-generation climate-resilient rice lines
    Pritam Kanti Guha, Nakul D. Magar, Madhavilatha Kommana, Kalyani M. Barbadikar, B. Suneel, C. Gokulan, D. Vijay Lakshmi, Hitendra Kumar Patel, Ramesh V. Sonti, R. M. Sundaram, Maganti Sheshu Madhav
    Physiology and Molecular Biology of Plants.2024; 30(4): 665.     CrossRef
  • Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara
    Kavitha Beerelli, Divya Balakrishnan, Krishnam Raju Addanki, Malathi Surapaneni, Venkateswara Rao Yadavalli, Sarla Neelamraju
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Brassinosteroid biosynthesis gene OsD2 is associated with low-temperature germinability in rice
    Sun Ha Kim, Kyu-Chan Shim, Hyun-Sook Lee, Yun-A Jeon, Cheryl Adeva, Ngoc Ha Luong, Sang-Nag Ahn
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Fine-Mapping of a Major Quantitative Trait Locusq2ID1for Rice Stem Diameter
    Ye-Ji Lee, Yeisoo Yu, Hyeonso Ji, Gang-Sub Lee, Nam-In Hyung, Keunpyo Lee, Tae-Ho Kim
    Plant Breeding and Biotechnology.2021; 9(4): 298.     CrossRef
  • Association mapping analysis of oil palm interspecific hybrid populations and predicting phenotypic values via machine learning algorithms
    Min‐Gyoung Shin, Maizura Ithnin, Wendy T. Vu, Katialisa Kamaruddin, Ting Ngoot Chin, Zulkifli Yaakub, Peter L. Chang, Kandha Sritharan, Sergey Nuzhdin, Rajinder Singh
    Plant Breeding.2021; 140(6): 1150.     CrossRef
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Identification of Quantitative Trait Loci for Vigorous Root Development under Water-Deficiency Conditions in Rice
Jae-Hyuk Han, Na-Hyun Shin, Su Jang, Yeisoo Yu, Joong Hyoun Chin, Soo-Cheul Yoo
Plant Breed. Biotech. 2018;6(2):147-158.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.147

Seedling vigor in drought stress conditions is an important characteristic of the dry direct-seeded rice system. The drought stress in the seedling stage disrupts seed germination and delays the establishment of seedlings. However, little is known about the genetic mechanism of seedling vigor in drought conditions. The identification of quantitative trait loci (QTL) was conducted using 162 recombinant inbred lines (RILs) derived from a cross between two rice varieties—a Tongil-type Milyang23 and a temperate japonica Tong88-7. The seedling vigor of these RILs was characterized by measuring 10 morphological traits of the seedlings grown under drought conditions. The Tong88-7 seedlings showed significantly higher values than the Milyang23 seedlings for all traits. The genotyping-by-sequencing method was used to construct a map of 6140 single nucleotide polymorphisms. Six main-effect QTLs (M-QTLs) associated with seedling vigor traits under drought stress were identified on chromosomes 9 and 11. In particular, five out of these six QTLs were located on chromosome 11, explaining the phenotypic variances of 4.3% through 10.1%. In addition, 21 epistatic QTLs (E-QTLs) were detected, and the 27 loci involved in this interaction were distributed on 11 chromosomes. Both M-QTLs and E-QTLs detected in this study would be useful in breeding programs to develop elite rice varieties especially adapted to dry direct-seeded rice system.

Citations

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  • Analysis of Seed Vigor and Grain Quality Traits under Accelerated Aging Treatment in japonica Rice
    Kyeongmin Kang, Seung Young Lee, Su-Kyung Ha, Gileung Lee, Jae-Ryoung Park, Mina Jin, Jung-Pil Suh, Youngjun Mo, Hyun-Sook Lee
    Korean Journal of Breeding Science.2025; 57(3): 217.     CrossRef
  • The resilience of rice under water stress will be driven by better roots: Evidence from root phenotyping, physiological, and yield experiments
    Sadiah Shafi, Insha Shafi, Aaqif Zaffar, Sajad Majeed Zargar, Asif B. Shikari, Anuj Ranjan, P.V. Vara Prasad, Parvaze A. Sofi
    Plant Stress.2023; 10: 100211.     CrossRef
  • Hydraulic conductance and xylem vessel diameter of young maize roots subjected to sustained water‐deficit
    Nahid Jafarikouhini, Thomas R. Sinclair
    Crop Science.2023; 63(4): 2458.     CrossRef
  • Shaping the root system architecture in plants for adaptation to drought stress
    Alok Ranjan, Ragini Sinha, Sneh L. Singla‐Pareek, Ashwani Pareek, Anil Kumar Singh
    Physiologia Plantarum.2022;[Epub]     CrossRef
  • Genetics and genomics of root system variation in adaptation to drought stress in cereal crops
    Md Nurealam Siddiqui, Jens Léon, Ali A Naz, Agim Ballvora, Miriam Gifford
    Journal of Experimental Botany.2021; 72(4): 1007.     CrossRef
  • Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
    Paulo Henrique Ramos Guimarães, Isabela Pereira de Lima, Adriano Pereira de Castro, Anna Cristina Lanna, Patrícia Guimarães Santos Melo, Marcel de Raïssac
    Rice.2020;[Epub]     CrossRef
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Genetic Diversity and Association Analyses of Canadian Maize Inbred Lines with Agronomic Traits and Simple Sequence Repeat Markers
Kyu Jin Sa, Tak Ki Hong, Ju Kyong Lee
Plant Breed. Biotech. 2018;6(2):159-169.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.159

We evaluated genetic diversity and population structure in 32 Canadian maize inbred lines and performed association analysis for five agronomical traits and 50 simple sequence repeat (SSR) markers. Genetic diversity analysis revealed a total of 381 alleles at the 50 SSR loci. The average number of alleles per locus was 7.6. The average genetic diversity and polymorphic information content values were 0.709 and 0.676, respectively. The average major allele frequency was 0.414. Population structure analysis indicated that these maize inbred lines were comprised of four major groups and one admixed group based on a membership probability threshold of 0.80. A general linear model showed 20 marker-trait associations involving 12 SSR markers associated with the four agronomic traits except for leaf length. For these marker-trait associations, phi056, mmc0022, bnlg1621, bnlg1695, phi116, and bnlg1028 were associated with only one trait. The other nc005, bnlg1012, phi065, and umc1982 were associated with two traits. Two SSR markers, mmc0111 and umc1038, were associated with three traits. These results will help in optimizing the choice of parents for crossing combinations, as well as in selecting markers for marker-assisted selection for maize improvement.

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  • Harnessing teosinte for quality traits enhancement and genetic diversity in maize
    Pardeep Kumar, Mukesh Choudhary, Seema Sheoran, Bhupender Kumar, Sushil Kumar, Ankush Sharma, Bharat Bhushan, Bahadur Singh Jat, Dharam Paul, Sumit Kumar Aggarwal, Shyam Bir Singh
    Cereal Research Communications.2026; 54(1): 645.     CrossRef
  • Genetic diversity of Turkish colored maize landraces assessed by simple sequence repeat (SSR) markers
    Ezgi Alaca Yıldırım, Fatih Kahrıman, Ferhat Matur
    Genetic Resources and Crop Evolution.2025; 72(8): 9623.     CrossRef
  • DNA Profiling of Indonesian Maize Hybrids and their Parental Lines Using SSR Markers
    Slamet Bambang Priyanto, Lesty Ayu Bidhari, Roy Efendi, Bunyamin Zainuddin, Nining Nurini Andayani, Muhammad Azrai
    Agriculture (Pol'nohospodárstvo).2025; 71(2): 53.     CrossRef
  • Genetic Diversity and Population Structure of Maize (Zea mays L.) Inbred Lines in Association with Phenotypic and Grain Qualitative Traits Using SSR Genotyping
    Rumit Patel, Juned Memon, Sushil Kumar, Dipak A. Patel, Amar A. Sakure, Manish B. Patel, Arna Das, Chikkappa G. Karjagi, Swati Patel, Ujjaval Patel, Rajib Roychowdhury
    Plants.2024; 13(6): 823.     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
  • Application Marker-Assisted Selection (MAS) and Multiplex PCR Reactions in Resistance Breeding of Maize (Zea mays L.)
    Aleksandra Sobiech, Agnieszka Tomkowiak, Jan Bocianowski, Bartosz Nowak, Dorota Weigt, Danuta Kurasiak-Popowska, Michał Kwiatek, Sylwia Mikołajczyk, Janetta Niemann, Katarzyna Szewczyk
    Agriculture.2022; 12(9): 1412.     CrossRef
  • Fuzzy model for clustering open pollinated maize variety released in Indonesia
    Muhammad Aqil, N.N. Andayani, T Fahdiana, Suwardi
    IOP Conference Series: Earth and Environmental Science.2020; 484: 012046.     CrossRef
  • Characterization of Mimban maize landrace from North-Eastern Himalayan region using microsatellite markers
    Nenavath Krishna Kumar Rathod, Jyoti Kumari, Firoz Hossain, Rashmi Chhabra, Somnath Roy, Ganjalagatta Dasaiah Harish, Rakesh Bhardwaj, Raveendra N. Gadag, Anup Kumar Misra
    Journal of Plant Biochemistry and Biotechnology.2020; 29(2): 323.     CrossRef
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