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Selection of soybean elite cultivars based on phenotypic and genomic characters related to lodging tolerance
Author(s) -
Liu Zhangxiong,
Li Huihui,
Fan Xuhong,
Huang Wen,
Yang Jiyu,
Zheng Yuhong,
Wen Zixiang,
Li Yinghui,
Wang Dechun,
Wang Shuming,
Qiu Lijuan
Publication year - 2017
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/pbr.12495
Subject(s) - biology , quantitative trait locus , cultivar , best linear unbiased prediction , allele , genotype , snp , selection (genetic algorithm) , trait , genetics , association mapping , plant breeding , marker assisted selection , microbiology and biotechnology , agronomy , single nucleotide polymorphism , gene , artificial intelligence , computer science , programming language
Soybean lodging can result in serious yield reduction. Detecting the quantitative trait loci ( QTL ) associated with lodging tolerance for their further application in marker‐assisted selection ( MAS ) has the potential to enhance soybean breeding efficiency. In this study, a genome‐wide association analysis ( GWAS ) was performed to identify soybean accessions that could potentially be used to produce lodging‐tolerant varieties, based on the comprehensive evaluation of lodging scores ( LS ) obtained for the parental cultivar “Tokachi nagaha” and its 137 derived cultivars. Results showed that genotype, environment and genotype × environment interaction significantly influenced LS . Of the 31 significant SNP s identified, 22 were consistently detected in two or more environments and 27 SNP s were located in or close to agronomically important QTL mapped by linkage analysis. Best linear unbiased predictors ( BLUP s) of LS tend to decrease with the elite alleles contained by accessions increasing. Some excellent accessions, with lower BLUP s and D i (stability coefficients) values and more elite alleles, were selected. This study contributed to understand the genetic mechanism of lodging, providing genetic and phenotypic information for MAS .