生物技术通报2024，Vol.40Issue(3)：146-154,9.DOI:10.13560/j.cnki.biotech.bull.1985.2023-0746
陆地棉主要株型性状关联分析及优异等位基因挖掘
Association Analysis and Exploration of Elite Alleles of Plant Architecture Traits in Gossypium hirsutum L.
摘要
Abstract
[Objective]Plant architecture is a key factor affecting the mechanization and yield of cotton.The association analysis of plant architecture traits in upland cotton can provide elite marker sources and excellent germplasm materials for molecular breeding of cotton plant architecture.[Method]In this study,taking 403 upland cotton germplasms as materials,an association analysis of four plant architecture traits in six environments was implemented using 201 pairs of polymorphic SSR markers covering the whole genome,and the elite alleles were identified.[Result]The average coefficients of variation of the plant height,height of first fruit branch node,the first fruit branch node and fruit branch number were 13.70%,21.51%,14.18%and 11.51%,respectively,and the range of broad-sense heritability was 46.24%-74.15%.A total of 394 allelic variation loci were generated from 201 markers.A total of 38 loci were repeatedly detected in best linear unbiased prediction(BLUP)(P<0.01)and more than two environments at a significant level(P<0.05).Of 38 loci,16 were associated with plant height,six were associated with height of first fruit branch node,11 were associated with the first fruit branch node,and five were associated with fruit branch number.In addition,five loci were associated with multiple traits simultaneously.Thirty one materials containing elite alleles of target traits were identified,and six of them carried multiple elite alleles concurrently.[Conclusion]Thirty-eight marker loci associated with four plant architecture traits were identified in 403 natural populations,and 31 typical materials containing excellent alleles were identified.关键词
陆地棉/株型性状/关联分析/优异等位基因Key words
upland cotton/plant architecture traits/association analysis/elite alleles引用本文复制引用
王娟,王新,田琴,马晓梅,周小凤,李保成,董承光..陆地棉主要株型性状关联分析及优异等位基因挖掘[J].生物技术通报,2024,40(3):146-154,9.基金项目
兵团农业科技创新工程专项(NCG202222),兵团科技创新人才计划(2022CB003-04),第六师五家渠市科技计划项目(2205) （NCG202222）
