麦类作物学报2026，Vol.46Issue(8)：1068-1081,14.DOI:10.7606/j.issn.1009-1041.2026.08.08
小麦株高全基因组关联分析及候选位点验证
Genome-Wide Association Study of Plant Height in Wheat and Validation of the Candidate Loci
摘要
Abstract
Plant height(PH)is an important agronomic trait affecting lodging resistance and yield in wheat.To dissect the genetic basis of PH and identify stable loci,we analyzed a natural population of 339 wheat accessions from the Huang-Huai wheat region using PH phenotypes collected across nine environments and genotypes obtained with a 21K single nucleotide polymorphism(SNP)array.Ge-nome-wide association study(GWAS)was conducted using a mixed linear model(MLM).Linkage dis-equilibrium(LD)and haplotype analyses were performed for the key associated interval,and the asso-ciation was further validated in a natural population of 327 accessions genotyped with a 660K SNP ar-ray.Candidate genes within the target interval were annotated and prioritized.In total,66 stable QTLs significantly associated with PH were identified.A novel major and stable QTL,QPh.nwafu-6D,was detected on chromosome 6D(490.34-492.42 Mb)and was consistently detected in eight en-vironments,explaining 8.23％of the phenotypic variance on average.The interval was divided into two LD blocks.In Block2,three haplotypes were identified,and the favorable haplotype Block2_Hap1(frequency 84.1％)showed significantly reduced PH compared with other haplotypes and was significantly associated with higher thousand-kernel weight in multiple environments.In the valida-tion population,accessions carrying the Block2_Hap1 genotype at the core SNP marker SNP_Chr6D_492211566 exhibited significantly lower PH than those with the Block2_Hap2 genotype(P＜0.001).Eight candidate genes were further prioritized in this interval,mainly involved in kinase signaling,transcriptional regulation,ubiquitin-mediated protein degradation,and hormone responses.关键词
小麦/株高/全基因组关联分析/分子标记辅助育种Key words
Wheat/Plant height/GWAS/Marker-assisted breeding分类
农业科技引用本文复制引用
孙圣洁,赵慧玲,卢佳,魏俊杰,孙道杰,郭笑冉,陈军,张鑫,何家乐,张傲琰,张传量,宋鹏博,赵文莎..小麦株高全基因组关联分析及候选位点验证[J].麦类作物学报,2026,46(8):1068-1081,14.基金项目
国家重点研发计划项目(2016YFD0101802) （2016YFD0101802）
