Genetic dissection of the relationship between plant architecture and yield component traits in soybean (Glycine max) by association analysis across multiple environments

Genetic dissection of the relationship between plant architecture and yield component traits in soybean (Glycine max) by association analysis across multiple environments
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通过跨多种环境的关联分析对大豆(Glycine max)植物结构和产量组成性状之间的关系进行遗传剖析

DOI:
10.1111/pbr.12305
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发表时间:
2015
期刊:
影响因子:
2
通讯作者:
Yu Deyue
Yu Deyue
中科院分区:
农林科学3区
文献类型:
--
作者:
Zhang Huairen;Hao Derong;Sitoe Helder Manuel;Yin Zhitong;Hu Zhenbin;Zhang Guozheng;Yu Deyue

文献摘要

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大豆的植株结构和产量构成因素是决定种子产量的关键因素。在这项研究中,我们进行了遗传关联分析,以剖析植物构型与产量构成性状之间的关系。219份材料,8个农艺性状在6个环境进行了评价。结果表明,在两种或两种以上的环境条件下,株型性状与产量构成因子呈显著正相关,其中4个SNPs与株型性状显著相关,7个SNPs与产量构成因子显著相关。8个SNPs与2个性状相关。基于检测到的SNPs的等位基因的表型效应,为23个不同的SNPs挖掘最佳等位基因。还挖掘了15个具有最佳等位基因效应的典型载体材料。通过排除一个个体中每个SNP的可能等位基因(排除可能的上位效应),提出了20种亲本组合。这些具有最佳等位基因和载体材料的组合将有助于改善大豆育种中的目标性状和标记辅助选择(MAS)效率。
Plant architecture and yield components are critical for the determination of seed yield in soybean. In this study, we performed genetic association analysis to dissect the relationships between plant architecture and yield component traits. Two hundred and nineteen accessions were employed, and eight agronomic traits were evaluated in six environments. Our results revealed strong positive correlations of plant architecture traits with yield components and the significant association of 4 SNPs with plant architecture traits and of 7 SNPs with yield component traits in two or more environments. Eight SNPs were co-associated with two traits. Based on the phenotypic effects of the alleles of the detected SNPs, the best alleles were mined for twenty-three distinct SNPs. Fifteen typical carrier materials harbouring the best allele effects were also mined. Twenty parental combinations were proposed by pyramiding possible alleles per SNP in one individual (excluding possible epistatic effects). These proposed combinations with the best alleles and carrier materials will aid in the improvement of targeted traits and marker-assisted selection (MAS) efficiency in soybean breeding.