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作物学报 ›› 2014, Vol. 40 ›› Issue (01): 37-44.doi: 10.3724/SP.J.1006.2014.00037

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

大豆产量及主要农艺性状QTL的上位性互作和环境互作分析

梁慧珍1,余永亮1,杨红旗1,张海洋1,董薇1,李彩云1,杜华1,巩鹏涛2,刘学义3,方宣钧4   

  1. 1 河南省农业科学院芝麻研究中心, 河南郑州 450002；2 东北油田盐碱植被恢复与重建教育部重点实验室 / 东北林业大学盐碱地生物资源环境研究中心, 黑龙江哈尔滨 150040；3 山西省农业科学院经济作物研究所, 山西汾阳 032200；4 海南省热带农业资源开发利用研究所, 海南三亚 572025
  • 收稿日期:2013-05-16 修回日期:2013-09-16 出版日期:2014-01-12 网络出版日期:2013-10-22
  • 基金资助:

    本研究由河南省科技创新杰出人才计划(114200510002)和国家转基因生物新品种培育重大科技专项(2009ZX08018-001B, 2011ZX08004-005)资助。

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 Published:2014-01-12 Published online:2013-10-22

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摘要：

以栽培大豆晋豆23为母本, 半野生大豆灰布支黑豆ZDD2315为父本杂交衍生的F2:15和F2:16的447个RIL家系为遗传群体, 绘制SSR遗传图谱, 采用混合线性模型方法, 对2年大豆小区产量及主要农艺性状进行加性QTL、加性×加性上位互作及环境互作分析。结果检测到9个与小区产量、茎粗、有效分枝、主茎节数、株高、结荚高度相关的QTL, 分别位于J_2、I、M连锁群上, 其中小区产量、茎粗、株高、有效分枝和主茎节数QTL的加性效应为正值, 说明增加这些性状的等位基因来源于母本晋豆23。同时, 检测到7对影响小区产量、茎粗、株高和结荚高度的加性×加性上位互作效应及环境互作效应的QTL, 共发现14个与环境存在互作的QTL。上位效应和QE互作效应对大豆小区产量及主要农艺性状的遗传影响较大。大豆分子标记辅助育种中, 既要考虑起主要作用的QTL, 又要注重上位性QTL, 才有利于性状的稳定表达和遗传。

关键词: 大豆, 小区产量, 农艺性状, QTL与环境互作效应, 上位互作效应

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

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