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

14
results for

"Ju-Won Kang"

Article category

Keywords

Publication year

Authors

"Ju-Won Kang"

Research Articles

Allelic Diversity at Protein Disulfide Isomerase Like 1-1 (PDIL1-1) Gene is Associated with Amylose Content in Japonica Rice
Cheryl Adeva, Ju-Won Kang, Kyu-Chan Shim, Ngoc Ha Luong, Hyun-Sook Lee, Jong-Hee Lee, Sang-Nag Ahn
Plant Breed. Biotech. 2023;11(1):56-68.   Published online March 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.1.56

Amylose content is a key factor affecting the eating and cooking qualities of rice. In our previous study, protein disulfide isomerase like 1-1 (PDIL1-1) on chromosome 11 was a candidate gene for amylose content (AC) trait. Based on whole genome sequencing, polymorphisms were identified between Dodamssal and Hwayeong on PDIL1-1. In this study, the association of PDIL1-1 on AC was characterized. Haplotype analysis of 79 KNU accessions highlighted the presence of allelic patterns identifiable by the sequence variants between Dodamssal and Hwayeong. Identified SNPs and InDel were used to develop gene-based molecular markers for PDIL1-1. The 29 F2 plants and 160 Korean japonica cultivars were classified into two and three groups, respectively, based on the G/A SNP at position -4973180 and ATTCG/G at position -4974161. Our findings revealed that the G/A SNP at position -4973180 of PDIL1-1 plays a role in regulating the AC in japonica rice. This suggested that PDIL1-1 would be useful for fine-tuning the rice AC. To our knowledge, no studies of the allelic variation of the PDIL1-1 gene regulating AC have been reported worldwide. Furthermore, no research had reported the development of PDIL1-1 gene-based molecular markers.

  • 8 View
  • 0 Download
Identification of QTLs for Cold Tolerance at Seedling Stage Using a Population Derived from an Inter-specific Cross in Rice
Kyu-Chan Shim, Yeo-Tae Yun, Ju-Won Kang, Sang-Nag Ahn
Plant Breed. Biotech. 2022;10(4):282-289.   Published online December 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.4.282

Cold stress is one of the serious abiotic stresses for stable rice production especially in high-latitude temperate region and high-altitude tropical area. Improving cold tolerance at seedling stage led stable seedling growth with yield stability. In this study, QTLs for cold tolerance at seedling stage were identified using the 96 introgression lines (ILs) derived from an inter-specific cross between Hwaseong (Oryza sativa) and Oryza rufipogon. Three QTLs were detected and the O. rufipogon alleles at two QTL (qCTS1 and qCTS12) improved cold tolerance in the Hwaseong genetic background whereas the O. rufipogon allele at qCTS10 on chromosome 10 decreased cold tolerance. Among these three QTLs, a major QTL qCTS12 explained 27.5% of phenotypic variation. Fine-mapping indicated that qCTS12 was different from those QTL reported in previous studies based on the map location suggesting that qCTS12 might be a new allele and is not associated with deleterious genes such fertility reduction. Among the 96 introgression lines, two lines, CR60 and CR61 were selected based on enhanced cold tolerance at seedling stage. qCTS12, therefore, provides a valuable allele for breeding rice with improved cold tolerance.

Citations

Citations to this article as recorded by  
  • Stage-specific screening reveals differential resilience response to cold stress in rice
    Fahamida Akter, Partha S. Biswas, Abul Kalam Mohammad Aminul Islam, Mohammad Sharif Raihan, Md. Mizanur Rahman, Khandakar Md. Iftekharuddaula, Mohammad Rafiqul Islam, John Damien Platten, Md Ashrafuzzaman
    PLOS One.2026; 21(4): e0338290.     CrossRef
  • Genome-wide Association Study for Cold Tolerance at Seedling Stage Using a Core Collection of Korean Rice
    Sa-Eun Park, Ngoc Ha Luong, Sang-Nag Ahn, Kyu-Chan Shim
    Journal of Agriculture & Life Science.2025; 59(2): 13.     CrossRef
  • Identification of QTLs Related to Plant Growth at Low Temperatures in the Seedling Stage of Tongil Type Rice after Transplanting
    Seong-Gyu Jang, Ji-Yoon Lee, Ju-Won Kang, Youngho Kwon, So-Myeong Lee, Sais-Beul Lee, Jun-Hyeon Cho, Dong-Soo Park, Jong-Hee Lee, Soon-Wook Kwon, Sumin Jo
    Korean Journal of Breeding Science.2024; 56(3): 225.     CrossRef
  • 119 View
  • 0 Download
  • 3 Crossref
Characterization of Genes Associated with Salt Tolerance Using Transcriptome Analysis and Quantitative Trait Loci Mapping in Rice
Dong-Min Kim, Ju-Won Kang, Kyu-Chan Shim, Hyun-Jung Kim, Thomas H. Tai, Sang-Nag Ahn
Plant Breed. Biotech. 2021;9(4):318-330.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.318

We conducted transcriptome profiling analysis of O. glaberrima root using RNA-Seq at the control (OCR) and 100 mM NaCl treatment (OTR) at two time points (6 and 24 hours after treatment) to detect genes induced by salt stress. RNA-Seq analysis generated 102,690,698 sequence reads representing 30,388 predicted transcripts including 6,189 unannotated in Rice Annotation Project database. A total of 539 and 424 of differentially expressed genes (DEGs) were detected between OCR_6hours vs OTR_6hours and between OCR_24hours vs OTR_24hours, respectively (P < 0.001, q < 0.05). Among these DEGs, 262 genes showed constant differential expression at both 6 hours and 24 hours, and these included a bHLH containing protein, WRKY transcription factor, serine/threonine kinase, R2R3 MYB protein, and amino acid transporters. Interestingly, an enhanced seedling salt tolerant introgression line IL55 from a cross between a salt sensitive indica cultivar “Milyang23” and O. glaberrima harbors one DEG, Os02g0787300 encoding a mitogen activated protein kinase kinase (MAPKK) on chromosome 2. Analysis of the salt tolerance of the F2:3 lines from a cross between IL55 and Milyang23 indicated that the O. glaberrima segment on chromosome 2 containing the MAPKK gene was responsible for better shoot growth under salt stress at the seedling stage. The salt inducible genes will be evaluated in introgression lines (ILs) to understand whether the expression of these genes is associated with salt tolerance in ILs having the Milyang23 genetic background. Transcriptome sequence information in this study may be useful for developing DNA markers linked to salinity tolerance for MAS breeding.

Citations

Citations to this article as recorded by  
  • Phylogenomic profiles of whole-genome duplications in Poaceae and landscape of differential duplicate retention and losses among major Poaceae lineages
    Taikui Zhang, Weichen Huang, Lin Zhang, De-Zhu Li, Ji Qi, Hong Ma
    Nature Communications.2024;[Epub]     CrossRef
  • Grain protein function prediction based on self-attention mechanism and bidirectional LSTM
    Jing Liu, Xinghua Tang, Xiao Guan
    Briefings in Bioinformatics.2023;[Epub]     CrossRef
  • 5 View
  • 0 Download
  • 2 Crossref
Screening and Breeding for Biofortification of Rice with Protein and High Lysine Contents
Ji-Yun Lee, Ju-Won Kang, Su-Min Jo, Young-Ho Kwon, So-Myeong Lee, Sais-Beul Lee, Dong-Jin Shin, Dong-Soo Park, Jong-Hee Lee, Jong-Min Ko, Jun-Hyeon Cho
Plant Breed. Biotech. 2021;9(3):199-212.   Published online September 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.3.199

A total of 134 domestic and foreign genetic resources were analyzed for their protein and amino acids contents in order to identify breeding lines with high lysine content to improve nutritional components of rice. The protein contents ranged between 6.7% and 14.8%, with an average of 8.7%. The Dharial mutant-derived lines had relatively high protein content with the highest amino acids content of 130.16 mg/g and the highest lysine content of 3.86 mg/g which is about 5 times higher than that of the parent. In the case of mutant-derived lines with high floury endosperm such as Goami2, Dodamssal, Milyang320 and LA1, the total amino acids content was as low as 72.61-82.0 mg/g; however, lysine content ranged high between 2.64-3.35 mg/g with lysine ratio to the total amino acids was 3.6%-4.1% which is higher than the average lysine content ratio of 3.0%. Furthermore, correlation analysis revealed a very strong positive correlation between the total amino acids and total protein contents. In contrast, lysine content showed no significant correlation neither with total amino acids nor with protein contents. The lysine content of Milyang320, which was grown in 5 regions across Korea was 0.33%, showing an increase of about 22% compared to that recorded in Nampyeong (0.27%). Therefore, these data suggest that lysine content of Milyang320 is controlled genetically and could be serve as a source in high lysine rice breeding program.

Citations

Citations to this article as recorded by  
  • Lysine Matters: Genetic and Biotechnological Innovations to Combat Protein Malnutrition
    Varinder Singh, Manjari Mishra, Sneh Lata Singla‐Pareek, Joy K. Roy, Ashwani Pareek
    Plant, Cell & Environment.2026; 49(3): 1509.     CrossRef
  • Assessing two decades of breeding for biofortified rice with zinc, iron or protein
    Gogineni S.V. Prasad, Chilukuri S. Rao, Kalambur Muralidharan, Ranganathan Sridhar, Ebrahim A. Siddiq
    Journal of Agriculture and Food Research.2025; 24: 102317.     CrossRef
  • Biofortification as a solution for addressing nutrient deficiencies and malnutrition
    Bindu Naik, Vijay Kumar, Sheikh Rizwanuddin, Sadhna Mishra, Vivek Kumar, Per Erik Joakim Saris, Naresh Khanduri, Akhilesh Kumar, Piyush Pandey, Arun Kumar Gupta, Javed Masood Khan, Sarvesh Rustagi
    Heliyon.2024; 10(9): e30595.     CrossRef
  • Analysis of volatile compounds of several rice varieties according to endosperm type using an electronic nose
    Chae-Min Han, Jong-Hee Shin, Sang-Kuk Kim, Jung-Gi Ryu
    Journal of Crop Science and Biotechnology.2023; 26(3): 359.     CrossRef
  • Rice Storage Proteins: Focus on Composition, Distribution, Genetic Improvement and Effects on Rice Quality
    Long Xinkang, Guan Chunmin, Wang Lin, Jia Liting, Fu Xiangjin, Lin Qinlu, Huang Zhengyu, Liu Chun
    Rice Science.2023; 30(3): 207.     CrossRef
  • Comparative Proteome-wide Characterization of Three Different Tissues of High-Protein Mutant and Wild Type Unravels Protein Accumulation Mechanisms in Rice Seeds
    Cheol Woo Min, Ravi Gupta, Ju-Young Jung, Randeep Rakwal, Ju-Won Kang, Jun-Hyeon Cho, Jong-Seong Jeon, Sun Tae Kim
    Journal of Agricultural and Food Chemistry.2023; 71(32): 12357.     CrossRef
  • GWAS to spot candidate genes associated with grain quality traits in diverse rice accessions of North East India
    Rahul K. Verma, S. K. Chetia, Vinay Sharma, Samindra Baishya, Himanshu Sharma, M. K. Modi
    Molecular Biology Reports.2022; 49(6): 5365.     CrossRef
  • Comparison of physicochemical properties of pollen substitute diet for honey bee (Apis mellifera)
    Hyun Jee Kim, Jinseok Hwang, Zakir Ullah, Bilal Mustafa, Hyung Wook Kwon
    Journal of Asia-Pacific Entomology.2022; 25(4): 101967.     CrossRef
  • 12 View
  • 0 Download
  • 8 Crossref
A New Approach for Glutinous Rice Breeding through Dull Genes Pyramiding
Ji-Yoon Lee, Ju-Won Kang, Su-Min Jo, Youngho Kwon, So-Myeong Lee, Dong Jin Shin, You-Chun Song, Dong Soo Park, Jong-Hee Lee, Jong-Min Ko, Jun-Hyeon Cho
Plant Breed. Biotech. 2020;8(4):405-412.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.405

Glutinous rice is a key grain quality trait occupying an important part during rice processing in most rice growing areas. In this study, a gene pyramiding approach was used to introduce two dull genes, responsible for low amylose content, for glutinous rice breeding using marker assisted selection (MAS). The genotyping results revealed that rice cultivar Milyang319 carries both dull genes on chromosome 6, derived from cv. Milky-queen (Wx-mq) and cv. LGS-soft (du12(t)), respectively. Milyang319 had a significantly low amylose content (9.0%) compared to those observed in donor parents Milky-queen (15.7%) and LGS-soft (14.5%). In addition, the amylogram analysis of Milyang319 showed a similar pattern of glutinous rice. Originally, Milyang319 had a low hardness and more stickiness compared to those recorded in cooked rice of both dull parental lines. Therefore, Milyang319 is proposed as a promising candidate rice cultivar that could be used as a new source of waxy germplasms with same physicochemical features of glutinous rice in further breeding programs.

Citations

Citations to this article as recorded by  
  • Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele
    Seong-Gyu Jang, Ji-Min Kim, Ji-Yoon Lee, Jun-Hyeon Cho, Youngho Kwon, So-Myeong Lee, Jisu Choi, Ju-Won Kang, Jong-Min Jeong, Jong-Hee Lee, Dong-Soo Park, Soon-Wook Kwon, Sumin Jo
    Korean Journal of Breeding Science.2026; 58(2): 123.     CrossRef
  • Molecular insights on the origin and development of waxy genotypes in major crop plants
    Vikram S Gaur, Salej Sood, Carlos Guzmán, Kenneth M Olsen
    Briefings in Functional Genomics.2024; 23(3): 193.     CrossRef
  • Genetic control of grain appearance quality in rice
    Dongsheng Zhao, Changquan Zhang, Qianfeng Li, Qiaoquan Liu
    Biotechnology Advances.2022; 60: 108014.     CrossRef
  • 9 View
  • 0 Download
  • 3 Crossref
Two Complementary Genes, SBE3 and GBSS1 Contribute to High Amylose Content in Japonica Cultivar Dodamssal
Cheryl C. Adeva, Hyun-Sook Lee, Sun-Ha Kim, Yun-A Jeon, Kyu-Chan Shim, Ngoc Ha Luong, Ju-Won Kang, Chang-Soo Kim, Jun-Hyeon Cho, Sang-Nag Ahn
Plant Breed. Biotech. 2020;8(4):354-367.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.354

Quantitative trait loci (QTLs) for the starch-related traits amylose content (AC) and resistant starch (RS) content have received much attention due to the potential benefits of grains high in these starch levels. In this study, QTLs associated with AC and RS content were identified using 92 recombinant inbred lines (RILs) developed from a cross between two closely related japonica cultivars ‘Dodamssal’ and ‘Hwayeong’. One QTL on chromosome 2 for RS content and 2 QTLs for AC on chromosomes 2 and 6 were detected. The F2 population derived from a cross between Hwayeong and two selected RILs were used to analyze the interaction between starch branching enzyme 3 (SBE3) and granule-bound starch synthase 1 (GBSS1). The combined effect of SBE3 and GBSS1 in the F2 population suggested that these two genes behaved in an additive manner in increasing AC. Haplotype analysis based on two SNPs in GBSS1 classified 117 rice accessions into three groups. At the first SNP site, all indica, Korean landrace, and weedy rice accessions had the Wxa allele at the 5ʹ splice site of intron 1, whereas japonica accessions had the mutated Wxb allele. This suggests that this splice-donor mutation is prevalent in japonica cultivars, but rare or absent in landrace and weedy rice cultivars. Landrace or weedy rice accessions harboring the Wxa allele could be employed in breeding programs to manipulate AC in cultivated japonica rice considering the difficulty and time to introduce desirable indica traits into japonica due to reproductive barriers.

Citations

Citations to this article as recorded by  
  • Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele
    Seong-Gyu Jang, Ji-Min Kim, Ji-Yoon Lee, Jun-Hyeon Cho, Youngho Kwon, So-Myeong Lee, Jisu Choi, Ju-Won Kang, Jong-Min Jeong, Jong-Hee Lee, Dong-Soo Park, Soon-Wook Kwon, Sumin Jo
    Korean Journal of Breeding Science.2026; 58(2): 123.     CrossRef
  • Evaluation of glycemic response and starch digestibility in Korean rice toward the development of low GI rice
    Chang-Min Lee, O-Young Jeong, Hyun-Su Park, Jeonghwan Seo, Songhee Park, Keon-Mi Lee, Mina Jin, Il-Ryong Choi, Jae-Hyuk Han
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Evolution and association analysis of SSIIIa in rice landraces of Yunnan Province
    Xia Li, Xiaomeng Yang, Li’e Yang, Hafiz Ghulam Muhu-Din Ahmed, Chunlian Yao, Jiazhen Yang, Luxiang Wang, Tao Yang, Xiaoying Pu, Yawen Zeng
    Biologia.2024; 79(7): 2203.     CrossRef
  • Allelic Diversity at Protein Disulfide Isomerase Like 1-1 (PDIL1-1) Gene is Associated with Amylose Content in Japonica Rice
    Cheryl Adeva, Ju-Won Kang, Kyu-Chan Shim, Ngoc Ha Luong, Hyun-Sook Lee, Jong-Hee Lee, Sang-Nag Ahn
    Plant Breeding and Biotechnology.2023; 11(1): 56.     CrossRef
  • Quality Characteristics of Rice-Based Ice Creams with Different Amylose Contents
    Gi-Un Seong, Ji-Yoon Kim, Jung-Soo Kim, Sae-Ul Jeong, Jun-Hyeon Cho, Ji-Yoon Lee, Sais-Beul Lee, Nkulu-Rolly Kabange, Dong-Soo Park, Kwang-Deog Moon, Ju-Won Kang
    Foods.2023; 12(7): 1518.     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
  • Interaction of starch branching enzyme 3 and granule-bound starch synthase 1 alleles increases amylose content and alters physico-chemical properties in japonica rice (Oryza sativa L.)
    Kyu-Chan Shim, Cheryl Adeva, Ju-Won Kang, Ngoc Ha Luong, Hyun-Sook Lee, Jun-Hyeon Cho, HyunJung Kim, Thomas H. Tai, Sang-Nag Ahn
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • QTL Mapping of Mineral Element Contents in Rice Using Introgression Lines Derived from an Interspecific Cross
    Cheryl Adeva, Yeo-Tae Yun, Kyu-Chan Shim, Ngoc Ha Luong, Hyun-Sook Lee, Ju-Won Kang, Hyun-Jung Kim, Sang-Nag Ahn
    Agronomy.2022; 13(1): 76.     CrossRef
  • Evaluation of Hardness and Retrogradation of Cooked Rice Based on Its Pasting Properties Using a Novel RVA Testing
    Sumiko Nakamura, Junji Katsura, Yasuhiro Maruyama, Ken’ichi Ohtsubo
    Foods.2021; 10(5): 987.     CrossRef
  • 16 View
  • 1 Download
  • 9 Crossref

Rapid Communication

Development and Validation of KASP Markers for Stv-bi, a Rice Stripe Virus Resistance Gene in Rice (Oryza sativa L.)
Ju-Won Kang, Sais-Beul Lee, Ji-Yun Lee, Young-Ho Kwon, So-Myeong Lee, Nkulu Rolly Kabange, Dongjin Shin, Jin-Gyeong Cha, Dong-Soo Park, Jong-Min Ko, Jong-Hee Lee
Plant Breed. Biotech. 2020;8(2):196-201.   Published online June 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.2.196

The application of molecular markers in rice breeding facilitates the rapid screening of genotypes in early growth stages without phenotypic assessment. In the present study, we developed and validated high throughput Kompetitive Allele Specific PCR (KASP) assays for rice stripe virus (RSV) resistance genes. The newly developed RSV-KASP markers were compared with the gel-based InDel marker, Indel7. The results of the RSV-KASP assay and the Indel7 analysis were consistent. Due to their high accuracy, time saving attribute, high throughput features, and cost-effectiveness, KASP could be more suitable for RSV genotyping than other methods.

Citations

Citations to this article as recorded by  
  • Genome-Wide Characterization of the PaO Gene Family and Pyramiding Effects of Superior Haplotypes on Yield-Related Traits in Sorghum
    Jinbiao Li, Haoxiang Li, Ruochen Zhang, Yizhong Zhang, Juanying Zhao, Xiaojuan Zhang, Huiyan Wang
    Agronomy.2025; 15(11): 2493.     CrossRef
  • KASP: a high-throughput genotyping system and its applications in major crop plants for biotic and abiotic stress tolerance
    Bhawna Dipta, Salej Sood, Vikas Mangal, Vinay Bhardwaj, Ajay Kumar Thakur, Vinod Kumar, Brajesh Singh
    Molecular Biology Reports.2024;[Epub]     CrossRef
  • Pyramiding effects of favorable haplotypes of loci on major fiber yield and quality traits in Upland Cotton (Gossypium hirsutum L.)
    Yingrui Zhao, Baojun Chen, Hongge Li, Jingjing Wang, Yinhua Jia, Zhaoe Pan, Daowu Hu, Zhen Peng, Yingxiao Li, Xu Gao, Peng Zhang, Liru Wang, Jun Peng, Shoupu He, Du Xiongming
    Industrial Crops and Products.2024; 217: 118805.     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
  • Comparative Analysis between the ITS TaqMan SNP Genotyping Assay and CAPS for the Rapid Molecular Identification of Zoysia japonica and Zoysia sinica, Related Hybrid Lines, and the Habitat Distribution of Each Species
    Dae-Hwa Yang, Ok-Cheol Jeong, Yu-Ryang Kim, Mi-Jeong Kang, Yang-Ji Kim, Ji-Hi Son, Seong-Seop Han, Mi-Young Park, Il-Doo Jin, In-Ja Song, Min-Ji Hong, Hyeon-Jin Sun, Hong-Gyu Kang, Hyo-Yeon Lee
    Horticultural Science and Technology.2023; 41(4): 463.     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
  • New Transcriptome-Based SNP Markers for Noug (Guizotia abyssinica) and Their Conversion to KASP Markers for Population Genetics Analyses
    Sewalem Tsehay, Rodomiro Ortiz, Eva Johansson, Endashaw Bekele, Kassahun Tesfaye, Cecilia Hammenhag, Mulatu Geleta
    Genes.2020; 11(11): 1373.     CrossRef
  • Validation and Selection of Functional Allele-specific Molecular Markers to Analyze High-Molecular-Weight Glutenin Subunit Composition in Wheat
    Dongjin Shin, Jin-Kyung Cha, So-Myeong Lee, Jong-Min Ko, Jong-Hee Lee
    Korean Journal of Breeding Science.2020; 52(3): 235.     CrossRef
  • 7 View
  • 0 Download
  • 8 Crossref
Research Articles
QTL Analysis for Fe and Zn Concentrations in Rice Grains Using a Doubled Haploid Population Derived from a Cross Between Rice (Oryza sativa) Cultivar 93-11 and Milyang 352
So-Myeong Lee, Ju-Won Kang, Ji-Yoon Lee, Jeonghwan Seo, Dongjin Shin, Jun-Hyeon Cho, Sumin Jo, You-Chun Song, Dong-Soo Park, Jong-Min Ko, Hee-Jong Koh, Jong-Hee Lee
Plant Breed. Biotech. 2020;8(1):69-76.   Published online March 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.1.69

Biofortification is a cost-effective method for increasing the availability of micronutrients. Rice breeding for high levels of micronutrients is one of the best approaches to solve the problem of malnutrition. In this study, we developed a doubled haploid (DH) population derived from a cross between the rice cultivars 93-11 and Milyang 352 and evaluated QTLs for grain micronutrients and grain shape. Two co-localized QTLs, qFe3-1 and qZn3-1, were identified in the interval between ah03002520 and cmb0336.5 on chromosome 3, which explained 17.6% and 10.5% of the phenotypic variation, respectively. Correlation analysis between agronomic and micronutrient traits showed positive correlations between grain Fe and Zn contents but a negative correlation between grain Fe content and length-to-width ratio. This indicated the possibility of simultaneously increasing both Fe and Zn content in rice grains for improving the micronutrient profile of rice. We selected some promising lines by recombinant selection using linked markers on chromosome 3. The co-localized QTLs qFe3-1 and qZn3-1 might be useful for the improvement of biofortified rice breeding by marker-assisted selection and gene pyramiding.

Citations

Citations to this article as recorded by  
  • Precision breeding strategy to enrich iron and zinc in rice
    Rajvir Kaur, Rupinder Kaur, Renu Khanna, Gurjeet Singh, Dinesh Kumar Saini, Amandeep, Kumari Neelam, Navjot Sidhu, Ranvir Singh Gill
    Cereal Research Communications.2026; 54(1): 657.     CrossRef
  • Genomic Insights into the Genetic Control of Iron and Zinc Content in Rice: A Meta-analysis of Key Hotspots
    Om Prakash Raigar, Gaurav Augustine, Rupinder Kaur, Nitika Sandhu
    Journal of Plant Growth Regulation.2025;[Epub]     CrossRef
  • Analysis of quantitative trait loci and candidate gene exploration associated with cold tolerance in rice (Oryza sativa L.) during the seedling stage
    Sumin Jo, Seong-Gyu Jang, Sais-Beul Lee, Ji-Yoon Lee, Jun-Hyeon Cho, Ju-Won Kang, Yeongho Kwon, So-Myeong Lee, Dong-Soo Park, Soon-Wook Kwon, Jong-Hee Lee
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map
    Mark Ian C. Calayugan, Tapas Kumer Hore, Alvin D. Palanog, Amery Amparado, Mary Ann Inabangan-Asilo, Gaurav Joshi, Balachiranjeevi Chintavaram, B. P. Mallikarjuna Swamy
    Scientific Reports.2024;[Epub]     CrossRef
  • Rice biofortification: breeding and genomic approaches for genetic enhancement of grain zinc and iron contents
    P. Senguttuvel, Padmavathi G, Jasmine C, Sanjeeva Rao D, Neeraja CN, Jaldhani V, Beulah P, Gobinath R, Aravind Kumar J, Sai Prasad SV, Subba Rao LV, Hariprasad AS, Sruthi K, Shivani D, Sundaram RM, Mahalingam Govindaraj
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Genome-wide association study (GWAS) with high-throughput SNP chip DNA markers identified novel genetic factors for mesocotyl elongation and seedling emergence in rice (Oryza sativa L.) using multiple GAPIT models
    Nkulu Rolly Kabange, Simon Alibu, Youngho Kwon, So-Myeong Lee, Ki-Won Oh, Jong-Hee Lee
    Frontiers in Genetics.2023;[Epub]     CrossRef
  • Genetic variability, G × E interaction and stability for iron and zinc content in sorghum grains in advanced breeding lines
    R. Madhusudhana, K. Hariprasanna, C. Aruna, Gowri M. Sajjanar, N.G. Hanamaratti, S. Sameera, Vilas A. Tonapi
    Journal of Cereal Science.2023; 110: 103653.     CrossRef
  • Improvement of Selection Efficiency of Haploid Maize Seeds Using Fluorescence Imaging
    Younguk Kim, Jeong Heon Han, Jaeyoung Kim, Yeongtae Kim, Nyunhee Kim, Chaewon Lee, Seoyeoun Lee, Song Lim Kim, Moon Jong Kim, Si Hwan Ryu, Hongro Lee, Hyeonso Ji, Kyung-Hwan Kim, Jeongho Baek
    Korean Journal of Breeding Science.2022; 54(4): 276.     CrossRef
  • QTL Analysis of Rice Grain Size Using Segregating Populations Derived from the Large Grain Line
    Ja-Hong Lee, Jeonghwan Seo, San Mar Lar, Seong-Gyu Jang, Hongjia Zhang, Ah-Rim Lee, Fang-Yuan Cao, Na-Eun Kim, Joohyun Lee, Soon-Wook Kwon
    Agriculture.2021; 11(6): 565.     CrossRef
  • Transcriptional Changes in the Developing Rice Seeds Under Salt Stress Suggest Targets for Manipulating Seed Quality
    Choonseok Lee, Chong-Tae Chung, Woo-Jong Hong, Yang-Seok Lee, Jong-Hee Lee, Hee-Jong Koh, Ki-Hong Jung
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Iron Biofortification in Rice: An Update on Quantitative Trait Loci and Candidate Genes
    B. P. Mallikarjuna Swamy, Balram Marathi, Ana I. F. Ribeiro-Barros, Mark Ian C. Calayugan, Felipe Klein Ricachenevsky
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Combined Linkage Mapping and Genome-Wide Association Study Identified QTLs Associated with Grain Shape and Weight in Rice (Oryza sativa L.)
    Ju-Won Kang, Nkulu Rolly Kabange, Zarchi Phyo, So-Yeon Park, So-Myeong Lee, Ji-Yun Lee, Dongjin Shin, Jun Hyeon Cho, Dong-Soo Park, Jong-Min Ko, Jong-Hee Lee
    Agronomy.2020; 10(10): 1532.     CrossRef
  • Identification of a Novel QTL for Chlorate Resistance in Rice (Oryza sativa L.)
    Nkulu Rolly Kabange, So-Yeon Park, Dongjin Shin, So-Myeong Lee, Su-Min Jo, Youngho Kwon, Jin-Kyung Cha, You-Chun Song, Jong-Min Ko, Jong-Hee Lee
    Agriculture.2020; 10(8): 360.     CrossRef
  • Genetic Manipulation for Improved Nutritional Quality in Rice
    Priyanka Das, Sanghamitra Adak, Arun Lahiri Majumder
    Frontiers in Genetics.2020;[Epub]     CrossRef
  • STUDY OF ALLELIC VARIATION AT GENOME WIDE SSR LOCI IN PARENTS OF MAPPING POPULATION FOR HIGH GRAIN ZINC IN RICE (Oryza sativa L.)
    Sonali Habde, S. K. Singh, Korada Mounika, Amrutlal Khaire, D. K. Singh, Prasanta Kumar Majhi
    Journal of Experimental Biology and Agricultural Sciences.2020; 8(5): 558.     CrossRef
  • QTL Analysis of Heading Date Using 93-11×Milyang352 Doubled Haploid Lines in Rice
    So-Myeong Lee, Ju-Won Kang, Jun-Hyeon Cho, Ji-Yoon Lee, Dongjin Shin, Young-Ho Kwon, Jin-Kyung Cha, Sais-Beul Lee, Jong-Min Ko, Jong-Hee Lee
    Korean Journal of Breeding Science.2020; 52(4): 332.     CrossRef
  • Genetic Analysis Reveals a Major Effect QTL Associated with High Grain Zinc Content in Rice (Oryza sativaL.)
    Shaikh J. Mohiuddin, Md. Ashraful Haque, Md. Manjurul Haque, Md. Tofazzal Islam, Partha S. Biswas
    Plant Breeding and Biotechnology.2020; 8(4): 327.     CrossRef
  • 9 View
  • 0 Download
  • 17 Crossref
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

Citations to this article as recorded by  
  • 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
  • 12 View
  • 0 Download
  • 7 Crossref
Interaction of Rice Quantitative Trait Locus gw9.1 with Three Grain Shape Genes
Yun-Joo Kang, Yun-A Jeon, Ju-Won Kang, Hyun-Sook Lee, Sang-Nag Ahn
Plant Breed. Biotech. 2016;4(1):51-60.   Published online February 28, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.1.51

Grain size is one of the most important factors determining grain yield in rice breeding. In previous studies, we constructed high-density maps for two quantitative trait loci (QTL) for grain weight, tgw2 and gw9.1, using progeny derived from crosses between the japonica cultivar Hwaseong and Oryza grandiglumis, and Hwaseong and O. rufipogon (IRGC 105491), respectively. The wild alleles contributed an increase in grain weight at these two loci. We developed an F2 population (146 plants) by crossing two near isogenic lines (NILs) harboring tgw2 and gw9.1 to know how they interact in the near isogenic background. Simple sequence repeat markers tightly linked to two QTL were used to check the genotype of the F2 population. Based on the genotype at two loci, 146 F2 plants were classified into 9 groups with a combination of three genotypes at each two loci. Two gene interaction was not significant (P=0.99) in the F2. Homozygous plants with wild alleles at two loci showed significantly higher 1,000 grain weight than plants with a single QTL in the F2 and F3. These results indicate that two QTLs act additively in distinct or complementary pathways in controlling GW. Gene expression analysis was also performed to know the relationship of the gw9.1 QTL with three major grain size genes with Hwaseong and two NILs plants at the transcription level. The results from this study provide insight into grain size regulation in rice and are likely to be useful for marker aided selection for grain size.

Citations

Citations to this article as recorded by  
  • Analysis of Yield- and Quality-Related Traits of Risotto Rice Varieties in a Korean Environment
    Songhee Park, Jeonghwan Seo, Chang-Min Lee, Jae-Ryoung Park, Keonmi Lee, O-Young Jeong, Youngjun Mo, Hyun-Su Park
    Korean Journal of Breeding Science.2025; 57(1): 13.     CrossRef
  • QTL Analysis Related to Grain Size Using the Population Derived from a Cross Between Hopum and Basmati 370
    Da-Eun Im, Seong-Gyu Jang, Backki Kim, Jeonghwan Seo, D. S. Kishor, Hee-Jong Koh, Soon-Wook Kwon
    Korean Journal of Breeding Science.2023; 55(2): 118.     CrossRef
  • QTL-by-QTL, QTL-by-environment, and QTL-by-QTL-by-environment interactions of loci controlling grain length in rice
    Tsuneo Kato, Akira Horibata
    Euphytica.2022;[Epub]     CrossRef
  • 10 View
  • 0 Download
  • 3 Crossref
QTL Mapping of Rice Root Traits at Different NH4+ Levels in Hydroponic Condition
Pyeong-Sook Kim, Dong-Min Kim, Ju-Won Kang, Hyun-Sook Lee, Sang-Nag Ahn
Plant Breed. Biotech. 2015;3(3):244-252.   Published online September 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.3.244

This study was initiated to identify quantitative trait loci (QTL) involved in root system development by measuring root length and weight of rice seedlings grown in hydroponic culture condition. Growth conditions for estimating the root elongation were set up to supply NH4+ as a single nitrogen source. Four rice accessions and 40 introgression lines (ILs) derived from a cross between ‘Ilpumbyeo’, a temperate japonica variety, and ‘Moroberekan’, a tropical japonica accession, were used to detect QTL for two root traits of seedlings grown in 0, 250 and 500 μM NH4+. Seven chromosomal regions were found to be involved in root elongation. The qRW6 QTL detected on the long-arm of chromosome 6 promoted root weight and the ‘Moroberekan’ allele at this QTL was associated with enhanced root weight at 250 μM NH4+ concentration. The Moroberekan alleles were beneficial at all loci except for qRW4 at which the Ilpumbyeo allele increased root weight under 0, 250 and 500 μM NH4+. A field trial was conducted for selected four ILs to know whether the introgressed Moroberekan segments harboring the beneficial QTL were associated with effects on other agronomic traits. No significant difference was detected between four ILs and Ilpumbyeo for days to heading and culm length. Two lines showed significant difference from Ilpumbyeo in spikelets per panicle and 1,000 grain weight, and the difference might be attributed to the Moroberekan segment on chromosome 6. Our QTL results indicate that the Moroberekan introgression on chromosome 6 flanked by RM162-RM3430 has the potential to enhance root traits and yield potential in the temperate japonica background.

Citations

Citations to this article as recorded by  
  • Identification of shoot and root genomic regions in response to nitrogen deficiency tolerance in rice through the use of rice back cross recombinant inbred lines (BRILs)
    Abdul Malik Solangi, Hira Khanzada, Ghulam Mustafa Wassan, Adnan Rasheed, Ayaz Ali Keerio, Huijie Li, Saba Khanzada, Muhammad Faheem, Mashooq Ali Laghari, Jianmin Bian, Xiaohua Pan, Ziming Wu
    Journal of Plant Biochemistry and Biotechnology.2023; 32(1): 40.     CrossRef
  • Genome-wide association study and transcriptome analysis reveal new QTL and candidate genes for nitrogen‐deficiency tolerance in rice
    Qing Li, Xueli Lu, Changjian Wang, Lan Shen, Liping Dai, Jinli He, Long Yang, Peiyuan Li, Yifeng Hong, Qiang Zhang, Guojun Dong, Jiang Hu, Guangheng Zhang, Deyong Ren, Zhenyu Gao, Longbiao Guo, Qian Qian, Li Zhu, Dali Zeng
    The Crop Journal.2022; 10(4): 942.     CrossRef
  • Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach
    Parisa Daryani, Hadi Darzi Ramandi, Sara Dezhsetan, Raheleh Mirdar Mansuri, Ghasem Hosseini Salekdeh, Zahra-Sadat Shobbar
    Theoretical and Applied Genetics.2022; 135(1): 81.     CrossRef
  • Mapping of quantitative trait loci for root elongation in rice ( Oryza sativa L.) treated with various nitrogen sources and concentrations
    Kazuhiro Sasaki, Mitsuhiro Obara
    Soil Science and Plant Nutrition.2022; 68(4): 454.     CrossRef
  • Root Branching and Nutrient Efficiency: Status and Way Forward in Root and Tuber Crops
    Luis O. Duque, Arthur Villordon
    Frontiers in Plant Science.2019;[Epub]     CrossRef
  • RDWN6XB, a major quantitative trait locus positively enhances root system architecture under nitrogen deficiency in rice
    Galal Bakr Anis, Yingxin Zhang, Anowerul Islam, Yue Zhang, Yongrun Cao, Weixun Wu, Liyong Cao, Shihua Cheng
    BMC Plant Biology.2019;[Epub]     CrossRef
  • 17 View
  • 0 Download
  • 6 Crossref
Variation of Yield and Quality in Early Maturing Rice Cultivars by Transplanting Date in Chungnam Plain Area in Korea
Yeo-Tae Yun, Chong-Tae Chung, Yeong-Ju Lee, Han-Jung Na, Jae-Chul Lee, Dong-Hee Lee, Kwang-Won Lee, Ju-Won Kang, Sang-Nag Ahn
Plant Breed. Biotech. 2015;3(1):47-57.   Published online March 31, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.1.047

Studies were initiated for two consecutive years to examine the effects of transplanting date on the yield and quality of early maturing rice cultivars and to select rice cultivars capable of adapting to early transplanting in the middle plain area. The experiment was laid out in a split-plot design with 3 replications. The main plots consisted of two transplanting dates viz. early (25th of April) and ordinary (25th of May), with sub-plots containing eight cultivars. For early transplanting the mean temperature at the grain filling stage was lower than for ordinary transplanting, while the rice grain quality traits and palatability values were improved. Early transplanting results in 11 days earlier heading, higher head rice yield and lower milled rice yield than ordinary transplanting. Significant differences among the eight cultivars tested in this study were observed for most traits. Among cultivars, ‘Joami’ demonstrated the highest palatability. ‘Joami’ also performed better in head rice ratio and head rice yield than ‘Unkwang’, which is widely cultivated in the middle plain area. Palatability value (PV) showed significant positive correlations with head rice ratio (HR) and amylose content (AC), and negative correlations with chalky rice ratio (CR) and protein content (PC). Mean temperature (MT) was positively correlated with CR and PC, and negatively correlated with HR and AC. The highest positive and negative correlations among the rice quality traits were observed between HR and AC (r = 0.734), and HR and CR (r = −0.944), respectively. Based on the research findings, ‘Joami’ is suitable for early transplanting for cultivation in the Chungnam plain area.

Citations

Citations to this article as recorded by  
  • Effect of Nitrogen Application Methods on Yield and Grain Quality of an Extremely Early Maturing Rice Variety
    Yeotae Yun, Gyucheol Kim, Giwon Cho, Youngju Lee, Tugsang Yun, Hakhun Kim
    Agriculture.2023; 13(4): 832.     CrossRef
  • Effect of Transplanting Date on Agronomic and Grain Quality Traits Using Early-Maturing Rice Varieties
    Yeotae Yun, Gyucheol Kim, Giwon Cho, Tugsang Yun
    Agronomy.2023; 13(5): 1195.     CrossRef
  • “Yeoreumi,” an Early Maturing Rice Cultivar Adaptable for Early-Transplanting Cultivation in the Chungnam Plain Area
    Yeotae Yun, Gyucheol Kim, Giwon Cho, Chongtae Chung, Tugsang Yun
    Korean Journal of Breeding Science.2022; 54(4): 405.     CrossRef
  • ‘Bbareumi’, an Extremely Early-Maturing Rice Cultivar Adaptable for Early Transplanting, in the Chungnam Plain Area
    Yeotae Yun, Chongtae Chung, Gyucheol Kim, Tugsang Yun
    Korean Journal of Breeding Science.2022; 54(3): 238.     CrossRef
  • Changes in Growth and Quality Traits According to Transplanting Dates using ‘Bbareumi’, an Extremely Early Maturing Rice Cultivar, in the Chungnam Plain Area
    Yeotae Yun, Gyucheol Kim, Giwon Cho, Tugsang Yun
    Korean Journal of Breeding Science.2022; 54(4): 305.     CrossRef
  • Development of an expert vision-based system for inspecting rice quality indices
    S.H. Payman, A. Bakhshipour, H. Zareiforoush
    Quality Assurance and Safety of Crops & Foods.2018; 10(1): 103.     CrossRef
  • 19 View
  • 0 Download
  • 6 Crossref
Analysis of QTL Interaction for Grain Weight using Near Isogenic Lines in Rice
Hae-hwang Kim, Dong-min Kim, Ju-won Kang, Hyun-Sook Lee, Yun-ju Kang, Sang-nag Ahn
Plant Breed. Biotech. 2015;3(1):30-38.   Published online March 31, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.1.030

Grain weight (GW) is one of the most important targets for grain yield in rice breeding. In previous studies, two quantitative trait loci (QTLs) for grain weight, tgw2 and gw8.1, were identified using progeny derived from crosses between the japonica cultivar Hwaseong and Oryza grandiglumis, and between Hwaseong and O. rufipogon (IRGC 105491), respectively. The wild alleles increased GW at two loci. An F2 population (186 plants) was developed by crossing two near isogenic lines (NILs) harboring tgw2 and gw8.1 to test their interaction. Simple sequence repeat (SSR) markers tightly linked to the two QTLs were used to check the genotype of the F2 population. Based on the genotype at the two loci, tgw2 and gw8.1, the F2 plants were classified into 9 groups with a combination of three genotypes at each of the two loci. Two-way ANOVA revealed no interaction between the 2 QTLs in the F2 population. The 1,000 grain weight (TGW) of homozygous plants with wild alleles at the two loci was significantly higher than that of plants with a single QTL in the F2 and F3 lines. These results indicate that two QTLs act additively, in distinct or complementary pathways, to control grain weight. Based on these results, it is desirable to pyramid the two QTLs into a single line, since the double-QTL line displayed further increase of TGW in the Hwaseong background.

Citations

Citations to this article as recorded by  
  • QTL Analysis Related to Grain Size Using the Population Derived from a Cross Between Hopum and Basmati 370
    Da-Eun Im, Seong-Gyu Jang, Backki Kim, Jeonghwan Seo, D. S. Kishor, Hee-Jong Koh, Soon-Wook Kwon
    Korean Journal of Breeding Science.2023; 55(2): 118.     CrossRef
  • QTL-by-QTL, QTL-by-environment, and QTL-by-QTL-by-environment interactions of loci controlling grain length in rice
    Tsuneo Kato, Akira Horibata
    Euphytica.2022;[Epub]     CrossRef
  • Fine mapping and candidate gene analysis of the quantitative trait locus gw8.1 associated with grain length in rice
    Yun-Joo Kang, Kyu-Chan Shim, Hyun-Sook Lee, Yun-A Jeon, Sun-Ha Kim, Ju-Won Kang, Yeo-Tae Yun, In-Kyu Park, Sang-Nag Ahn
    Genes & Genomics.2018; 40(4): 389.     CrossRef
  • Estimation of additive and epistatic gene effects of doubled haploid lines of winter oilseed rape (Brassica napus L.)
    Jan Bocianowski, Kamila Nowosad, Agnieszka Dobrzycka, Joanna Wolko
    Euphytica.2017;[Epub]     CrossRef
  • Path analysis and estimation of additive and epistatic gene effects of barley SSD lines
    Jan Bocianowski, Katarzyna Górczak, Kamila Nowosad, Wojciech Rybiński, Dariusz Piesik
    Journal of Integrative Agriculture.2016; 15(9): 1983.     CrossRef
  • 8 View
  • 0 Download
  • 5 Crossref
Linkage Analysis of SPR3 Locus and Pi45(t), and Evaluation of Yield-Related Traits Using Near Isogenic Lines From a Cross Between Japonica Rice
Mark Edward Fabreag, Dong-Min Kim, Ju-Won Kang, Soo-Jin Kwon, Yeo-Tae Yun, Sang-Nag Ahn
Plant Breed. Biotech. 2014;2(2):117-125.   Published online June 30, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.2.117

Although traditional rice varieties and wild rice species exhibit vast genetic diversity, the transfer of useful genes to modern varieties is often hampered by linkage drag. In this study, the previously identified blast resistance locus Pi45(t) from a cross between ‘Ilpumbyeo’ and ‘Moroberekan’ was linked to the spreading-type panicle caused by the SPR3 locus. Using InDel4 and RM17579 linked to the Pi45(t) and the SPR3, respectively, the distance between the two loci was estimated to be 6.9cM. This suggests a tight, yet incomplete linkage and provides the opportunity to utilize Pi45(t) in breeding programs without including SPR3. Two groups based on the genotype at the SPR3 locus were assembled; the CLosed Panicle (CLP) and SPReading panicle (SPR) groups, with lines which were homozygous for the Ilpumbyeo and Moroberekan alleles, respectively. A comparison between the traits of CLP and SPR groups revealed a decrease in 1000-grain weight and length and an increase in spikelets per panicle and secondary branches in the SPR group. This complicates selection against SPR3 as it is not clear whether these quantitative trait loci are linked to either SPR3 or Pi45(t). Re-evaluation of these traits using lines recombinant at the two loci would be necessary to clarify this issue.

Citations

Citations to this article as recorded by  
  • Directional upgrading of brown planthopper resistance in an elite rice cultivar by precise introgression of two resistance genes using genomics-based breeding
    Hongbo Wang, Yi Gao, Fangming Mao, Lizhong Xiong, Tongmin Mou
    Plant Science.2019; 288: 110211.     CrossRef
  • 10 View
  • 0 Download
  • 1 Crossref