Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2014, Vol. 40 ›› Issue (01): 37-44.doi: 10.3724/SP.J.1006.2014.00037

• CROP GENETICS & BREEDING · GERMPLASM RESOURCES · MOLECULAR GENETICS • Previous Articles     Next Articles

Epistatic Effects and QTL×Environment Interaction Effects of QTLs for Yield and Agronomic Traits in Soybean

LIANG Hui-Zhen1,YU Yong-Liang1,YANG Hong-Qi1,ZHANG Hai-Yang1,DONG Wei1,LI Cai-Yun1,GONG Peng-Tao2,LIU Xue-Yi3,FANG Xuan-Jun4   

  1. 1 Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; 2 Key Laboratory of Ministry of Education for Saline-alkali Vegetation Ecology Restoration in Oil Field (SAVER) /Alkali Soil Natural Environmental Science Center (ASNESC), Northeast Forestry University, Harbin 150040, China; 3 Economical Crops Institute, Shanxi Academy of Agricultural Sciences, Fenyang 032200, China; 4 Hainan Institute of Tropical Agriculture Resources, Sanya 572025, China
  • Received:2013-05-16 Revised:2013-09-16 Online:2014-01-12 Published:2013-10-22

Abstract:

Improving seed yield is an important goal of soybean breeding programs. In this investigation, a soybean SSR genetic linkage map constructed by a total of 447 recombinant inbred lines (RILs) derived from a cross between Jindou 23 (cultivar, female parent) and ZDD2315 (semi-wild, male parent) and the mixed linear model was used to identify the QTLs of yield and other QTLs for major agronomic traits in a two-year experiment. Nine QTLs bearing additive effects for pod position, plant height, node number on main stem, branch number, stem thickness and yield per plot were mapped in the linkage groups J_2, I, and M. The QTLs of yield per plot, stem thickness, plant height, branch number and node number on main stem showed positive additive effects donated by Jindou 23. Seven pairs of epistatic effects QTLs for pod position, plant height and stem thickness were detected, which had an interaction with environments. The results indicated that the epistatic effects and the environmental factors played an important role in yield per plot and agronomic traits in soybean. It will be very important to pay attention to not only QTLs with major effects but also those with epistatic effects in soybean molecular marker-assisted breeding in considering the stability expression and inheritance of the agronomic traits.

Key words: Soybean, Yield per plot, Agronomic traits, QTL×environment interaction effects, Epistatic effects

[1]Boerma H R, Specht J E. Soybeans: Improvement, Production and Uses, 3rd Edn. Madison, Wisconsin, USA: SSSA Publishers, 2004. pp 303–396



[2]Song Q J, Marek L F, Shoemaker R C, Lark K G, Concibido V C, Delannay X, Specht J E, Cregan P B. A new integrated genetic linkage map of the soybean. Theor Appl Genet, 2004, 109: 122–128



[3]梁慧珍, 余永亮, 杨红旗, 张海洋, 董微, 李彩云, 巩鹏涛, 刘学义, 方宣钧. 不同环境下大豆荚粒性状的遗传与QTL分析. 中国农业科学, 2012, 45: 2568–2579



Liang H Z, Yu Y L, Yang H Q, Zhang H Y, Dong W, Li C Y, Gong P T, Liu X Y, Fang X J. Genetic analysis and QTL mapping of pod-grain traits in soybean under different environments. Sci Agric Sin, 2012, 45: 2568-2579 (in Chinese with English abstract)



[4]Lee S H, Park K Y, Lee H S, Park E H, Boerma H R. Genetic mapping of QTLs conditioning soybean sprout yield and quality. Theor App Genet, 2001, 103: 702–709



[5]Hyten D L, Pantalone V R, Sams C E, Saxton A M, Landau-Ellis D, Stefaniak T R. Seed quality QTL in a prominent soybean population. Theor App Genet, 2004, 109: 552–561



[6]Reyna V, Sneller C H. Evaluation of marker assisted introgression of yield QTL alleles into adapted soybean. Crop Sci, 2001, 41: 1317–1321



[7]Hoeck J A, Fehr W R, Shoemaker R C, Welke G A, Johnson S L, Clanzio S R. Molecular marker analysis of seed size in soybean. Crop Sci, 2003, 43: 68–74



[8]Zhang W K, Wang Y J , Luo G Z, Zhang J S, He C Y, Wu X L, Gai J Y, ChenS Y. QTL mapping of ten agronomic traits on the soybean ( Glycine max L. Merr.) genetic map and their association with EST markers. Theor App Genet. 2004, 108: 1131–1139



[9]朱军. 广义遗传模型与数量遗传分析新方法. 浙江农业大学学报, 1994, 20: 551–559



Zhu J. General genetic models and new analysis methods for quantitative traits. J Zhejiang Agric Univ. 1994, 20: 551–559(in Chinese with English abstract)



[10]Wang D L, Zhu J, Li Z K, Paterson A H. Mapping QTLs with epistatic effects and QTL environment interactions by mixed linear model approaches. Theor Appl Genet, 1999, 99: 1255–1264



[11]杨钊钊, 李永祥, 刘成, 刘志斋, 李春辉, 李清超, 彭勃, 张岩, 王迪, 谭巍巍, 孙宝成, 石云素, 宋燕春, 王天宇, 黎裕. 基于多个相关群体的玉米雄穗相关性状QTL分析. 作物学报, 2012, 38: 1435–1442



Yang Z Z, Li Y X, Liu C, Liu Z Z, Li C H, Li QC, Peng B, Zhang Y, Wang D, Tan W W, Sun B C, Shi Y S, Song Y C, Wang T Y, Li Y. QTL Analysis of tassel-related traits in maize (Zea mays L.) using multiple connected populations. Acta Agron Sin, 2012, 38: 1435–1442 (in Chinese with English abstract)



[12]魏良明, 戴景瑞, 刘占先, 鄂立柱. 普通玉米蛋白质、淀粉和油分含量的遗传效应分析. 中国农业科学, 2008, 41: 3845–3850



Wei L M, Dai J R, Liu Z X, E L Z. Genetic effects of grain protein, starch and oil contents in maize. Sci Agric Sin, 2008, 41: 3845–3850 (in Chinese with English abstract)



[13]高用明, 朱军, 宋佑胜, 何慈信, 石春海, 邢永忠. 水稻永久F2群体抽穗期QTL的上位性及其与环境互作效应的分析. 作物学报, 2004, 30: 849–854



Gao Y M, Zhu J , Song Y S, He C X, Shi C H, Xing Y Z. Use of permanent F2 population to analyze epistasis and their interaction effects with environments for QTLs controlling heading date in rice. Acta Agron Sin, 2004, 30: 849–854 (in Chinese with English abstract)



[14]胡霞, 石瑜敏, 贾倩, 徐琴, 王韵, 陈凯, 孙勇, 朱苓华, 徐建龙, 黎志康. 影响水稻穗部性状及籽粒碾磨品质的QTL及其环境互作分析. 作物学报, 2011, 37: 1175–1185



Hu X, Shi Y M, Jia Q, Xu Q, Wang R, Chen K, Sun Y, Zhu L H, Xu J L, Li Z K. Analyses of QTLs for rice panicle and milling quality traits and their interaction with environment. Acta Agron Sin, 2011, 37: 1175–1185 (in Chinese with English abstract)



[15]梁燕, 张坤普, 赵亮, 梁雪, 张雯婷, 孙晓琳, 孟庆伟, 田纪春, 赵世杰. 小麦苗期光合作用及其相关性状的QTL分析. 作物学报, 2010, 36: 267–275



Liang Y, Zhang K P, Zhao L, Liang X, Zhang W T, Sun X L, Meng Q W, Tian J C, Zhao S J. Analysis of QTLs associated with photosynthesis characteristics in wheat seedlings. Acta Agron Sin, 2010, 36: 267–275 (in Chinese with English abstract)



[16]周晓果, 景蕊莲, 郝转芳, 昌小平, 张正斌. 小麦幼苗根系性状的QTL分析. 中国农业科学, 2005,38: 1951–1957



Zhou X G, Jing R L, Hao Z F, Chang X P, Zhang Z B. Mapping QTL for seedling root traits in common wheat. Sci Agric Sin, 2005, 38: 1951–1957 (in Chinese with English abstract)



[17]单大鹏, 朱荣胜, 陈立君, 齐照明, 刘春燕, 胡国华, 陈庆山. 大豆蛋白质含量相关QTL间的上位效应和QE互作效应. 作物学报, 2009, 35: 41–47



Shan D P, Zhu R S, Chen L J, Qi Z M, Liu C Y, Hu G H, Chen Q S. Epistatic effects and QE interaction effects of QTLs for protein content in soybean. Acta Agron Sin, 2009, 35: 41–47 (in Chinese with English abstract)



[18]单大鹏, 齐照明, 邱红梅, 单彩云, 刘春燕, 胡国华, 陈庆山. 大豆油分含量相关的QTL间的上位效应和QE互作效应. 作物学报, 2008, 34: 952–957



Shan D P, Qi Z M, Qiu H M, Shan C Y, Liu C Y, Hu G H, Chen Q S. Epistatic effects and QE interaction effects of QTLs on oil content in soybean. Acta Agron Sin, 2008, 34: 952–957 (in Chinese with English abstract)



[19]张晶莹, 葛一楠, 孙君明, 韩粉霞, 于福宽, 闫淑荣, 杨华. .多环境条件下大豆异黄酮主要组分的QTL定位. 中国农业科学, 2012,45: 3909–3920



Zhang J Y, Ge Y N, Sun J M, Han F X, Yu F K, Yan S R, Yang H. Identification of QTLs for major isoflavone components among multiple environments in soybean seeds. Sci Agric Sin, 2012, 45: 3909–3920 (in Chinese with English abstract)



[20]Tang Q Y, Zhang C X. Data processing system (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research. Insect Sci, DOI: 2012, 10.1111/j.1744-7917.2012.01519.x



[21]王珍, 方宣钧. 植物DNA分离. 分子植物育种, 2003, 1: 281–288



Wang Z, Fang X J. Plant DNA isolation. Mol Plant Breed, 2003, 1: 281–288 (in Chinese with English abstract)



[22]梁慧珍. 大豆子粒性状的遗传及QTL分析. 西北农林科技大学博士学位论文, 2006. pp 54–57



Liang H Z. Genetic Analysis and QTL Mapping of Seed Traits in Soybean [Glycine max (L.) Merr]. PhD Dissertation of  Northwest A&F University. 2008. pp 54–57 (in Chinese with English abstract)



[23]Yang J, Zhu J. Predicting superior genotypes in multiple environments based on QTL effects. Theor Appl Genet, 2005, 110: 1268−1274



[24]McCouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T. Report on QTL nomenclature. Rice Genet Newsl, 1997, 14: 11–14



[25]李慧慧, 张鲁燕, 王建康. 数量性状基因定位研究中若干常见问题的分析与解答. 作物学报, 2010, 36: 918−931



Li H H, Zhang L Y, Wang J K. Analysis and answers to frequently asked questions in quantitative trait locus mapping. Acta Agron Sin, 2010, 36: 918−931 (in Chinese with English abstract)



[26]翟虎渠, 王建康. 应用数量遗传. 北京: 中国农业科学技术出版社, 2007



Zhai H Q, Wang J K. Applied Quantitative Genetics. Beijing: China Agricultural Science and Technology Press, 2007 (in Chinese)



[27]Li Z K, Yu S B, Lafitte H R, Huang N, Courtois B, Hittalmani S. QTL × environment interactions in rice: I. heading date and plant height. Theor Appl Genet, 2003, 108: 141–153



[28]Paterson A H, Damon S, Hewitt J D, Zamir D, Rabinowitch H D, Lincoln S E, Lander E S, Tanksley S D. Mendelian factors underlying quantitative traits in tomato: Comparison across species, generations, and environments. Genetics, 1991, 127: 181–197



[29]杨喆, 关荣霞, 王跃强, 刘章雄, 常汝镇, 王曙明, 邱丽娟. 大豆遗传图谱的构建和若干农艺性状的QTL定位分析. 植物遗传资源学报, 2004, (4): 309–314



Yang Z, Guan R X, Wang Y Q, Liu Z X, Chang R Z, Wang S M, Qiu L J. Construction of genetic map and QTL analysis for some agronomic traits in soybean. J Plant Genet Resour, 2004, (4): 309–314



[30]Liao C Y, Wu P, Hu B, Yi K K. Effects of genetic background and environment on QTL and epistasis for rice (Oryza sativa L.) panicle number. Theor Appl Genet, 2001, 103: 104–111

[1] Tang Kuan-Qiang, Li Gong-Yun, Song Mei-Yi, Zhao Xue, Chang Chun-Ling. Genome-wide association analysis and prediction model construction for soybean plant height [J]. Acta Agronomica Sinica, 2026, 52(6): 1743-1756.
[2] Yao Shu, Guo Kai-Yue, Zhai Hui-Hui, Yao Jia-Hui, Deng Wen-Qi, Yan Ling, Huang Chi, Gao Yang, Yu Yan-Ran, Zhao Zhen-Bang, Li Ying-Hui, Wang Xiao-Bo, Li Jia-Jia. Comprehensive evaluation of low-iron tolerance and screening of elite germplasm at the soybean seedling stage [J]. Acta Agronomica Sinica, 2026, 52(5): 1373-1387.
[3] Zhang Ying-Xing, Bheel Chander Kumar, Song Yu-Zhen, Wang Yue, Cao Yue, Khound Rituraj, Santra Dipak Kumar, Cao Xiao-Ning, Wang Rui-Yun. Screening and phenotypic characterization of EMS-induced mutants with elite agronomic traits in broomcorn millet [J]. Acta Agronomica Sinica, 2026, 52(5): 1388-1400.
[4] Zhang Qing, Yang Yu, Guo Qian, Yue Pei-Yao, Yin Cong-Cong, Niu Jing-Ping, Zhao Jin-Zhong, Du Wei-Jun, Yue Ai-Qin. Cloning and functional analysis of the soybean GmARA6a gene in response to salt stress [J]. Acta Agronomica Sinica, 2026, 52(2): 480-493.
[5] Li Rui, Yu Yi-Wen, Wang Dun-Liang, Tian Ting, Sun Ling-Xiang, Tao Yue-Yue, Sun Hua. Comparative study on the characteristics of rapeseed yield under the rapeseed- oil dual-purpose mode in the middle and lower reaches of the Yangtze River [J]. Acta Agronomica Sinica, 2026, 52(2): 620-630.
[6] Chi Xiao-Yuan, Liu Qing, Zhang Jun, Zhao Xu-Hong, Li Mei, Yu Tian-Yi, Pan Li-Juan, Xu Jing, Jiang Xiao, Yin Xiang-Zhen, Ma Jun-Qing, Chen Na. Field evaluation of salt-alkaline tolerance and trait correlation analysis in different peanut varieties (lines) [J]. Acta Agronomica Sinica, 2026, 52(1): 85-98.
[7] Yang Rui, Chen Jing-Dong, Huang Ying, Zhang Xue-Kun, Zhou Deng-Wen, Liu Qing-Yun, Xu Jing-Song, Xie Ling-Li, Xu Ben-Bo. Region-specific yield optimization strategies for rapeseed (Brassica napus L.) in the middle Yangtze Basin across the 30°N latitude [J]. Acta Agronomica Sinica, 2026, 52(1): 99-117.
[8] HE Hong-Li, ZHANG Yu-Han, YANG Jing, CHENG Yun-Qing, ZHAO Yang, LI Xing-Nuo, SI Hong-Liang, ZHANG Xing-Zheng, YANG Xiang-Dong. Creation and physiological analysis of an e1-as gene mutant in soybean [J]. Acta Agronomica Sinica, 2025, 51(8): 2228-2239.
[9] WANG Ke-Jing, LI Xiang-Hua. Endangerment assessment of the perennial species G. tabacina and G. tomentella of the genus Glycine Willd. in China [J]. Acta Agronomica Sinica, 2025, 51(8): 2009-2019.
[10] MENG Ran, LI Zhao-Jia, FENG Wei, CHEN Yue, LIU Lu-Ping, YANG Chun-Yan, LU Xue-Lin, WANG Xiu-Ping. Comprehensive evaluation of salt tolerance at different growth stages of soybean and screening of salt-tolerant germplasm [J]. Acta Agronomica Sinica, 2025, 51(8): 1991-2008.
[11] HU Meng, SHA Dan, ZHANG Sheng-Rui, GU Yong-Zhe, ZHANG Shi-Bi, LI Jing, SUN Jun-Ming, QIU Li-Juan, LI Bin. QTL mapping and candidate gene screening for branch number in soybean [J]. Acta Agronomica Sinica, 2025, 51(7): 1747-1756.
[12] WANG Qiong, ZOU Dan-Xia, CHEN Xing-Yun, ZHANG Wei, ZHANG Hong-Mei, LIU Xiao-Qing, JIA Qian-Ru, WEI Li-Bin, CUI Xiao-Yan, CHEN Xin, WANG Xue-Jun, CHEN Hua-Tao. Genome-wide association analysis and candidate genes prediction of flowering time and maturity date traits in soybean (Glycine max L.) [J]. Acta Agronomica Sinica, 2025, 51(6): 1558-1568.
[13] YIN Cong-Cong, LI Rui-Qi, YUE Pei-Yao, LI Chen, NIU Jing-Ping, ZHAO Jin-Zhong, DU Wei-Jun, YUE Ai-Qin. Establishment and application of a visual detection method for soybean mosaic virus SC15 based on closed dumbbell mediated isothermal amplification [J]. Acta Agronomica Sinica, 2025, 51(5): 1248-1260.
[14] QIN Jin-Hua, HONG Wei-Yuan, FENG Xiang-Qian, LI Zi-Qiu, ZHOU Zi-Yu, WANG Ai-Dong, LI Rui-Jie, WANG Dan-Ying, ZHANG Yun-Bo, CHEN Song. Analysis of agronomic and physiological indicators of rice yield and grain quality under nitrogen fertilization management [J]. Acta Agronomica Sinica, 2025, 51(2): 485-502.
[15] CHEN Yu-Ting, DING Xiao-Yu, XU Ben-Bo, ZHANG Xue-Kun, XU Jin-Song, YIN Yan. Effects of climate warming on yield, quality-related and agronomic traits of winter rapeseed (Brassica napus L.) [J]. Acta Agronomica Sinica, 2025, 51(2): 516-525.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!