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水旱条件下玉米不同性状的全基因组选择分析

李昊洋 宋莹璐 张鹏艳 张正 温鑫 卜华虎 常建忠

四川农业大学学报2025,Vol.43Issue(4):959-966,8.
四川农业大学学报2025,Vol.43Issue(4):959-966,8.DOI:10.16036/j.issn.1000-2650.202504567

水旱条件下玉米不同性状的全基因组选择分析

Genomic Selection of Different Traits in Maize under Well-Watered and Water-Stressed Conditions

李昊洋 1宋莹璐 1张鹏艳 1张正 1温鑫 1卜华虎 1常建忠1

作者信息

  • 1. 山西农业大学山西有机旱作农业研究院,太原 030031
  • 折叠

摘要

Abstract

[Objective]This study aimed to evalute the phenotypes of maize inbred lines under both well-watered and drought-stressed conditions,and to integrate genomic selection analysis,in order to fa-cilitate molecular screening of drought-tolerant germplasms and support breeding for drought-resistant varieties.[Method]A training population comsising of 175 maize inbred lines was established.Over two consecutive years and across two locations,four phenotypic traits-plant height,ear height,tassel branch number,and yield-were measured under contrasting water regimes.Genomic selection was conducted us-ing genotypic data and 13 different prediction models.[Result]Phenotypic evaluation revealed reduc-tions in all four traits under drought conditions,with the most significant reduction in yield(24.13%)and the smallest in ear height(6.25%).Genomic selection results showed that the Support Vector Regres-sion(SVR)model achieved the highest prediction accuracy for yield.Under well-watered conditions,SVR prediction accuracies for plant height,ear height,tassel branch number,and yield were 0.595,0.331,0.624,and 0.524,respectively;under water-stressed conditions,the corresponding accuracies were 0.592,0.364,0.631,and 0.490.The drought tolerance index exhibited the lowest prediction accuracy(0.196).[Conclusion]The Support Vector Regression(SVR)model outperformed the other 12 genomic selection models in predicting the target traits.Optimal genomic prediction performance was achieved when the training population size constituted 50%of the total population and 500 SNP markers were utilized.

关键词

玉米/耐旱指数/表型鉴定/全基因组选择

Key words

maize/drought tolerance index/phenotypic evaluation/genomic selection

分类

农业科技

引用本文复制引用

李昊洋,宋莹璐,张鹏艳,张正,温鑫,卜华虎,常建忠..水旱条件下玉米不同性状的全基因组选择分析[J].四川农业大学学报,2025,43(4):959-966,8.

基金项目

山西省重点研发计划(202102140601002) (202102140601002)

中央引导地方发展资金(YDZJSX2022A036) (YDZJSX2022A036)

山西省科技重大专项计划子课题(202201140601025-1-03) (202201140601025-1-03)

山西农业大学生物育种工程(YZGC146) (YZGC146)

山西省现代农业产业技术体系建设专项(2023CYJSTX01-09). (2023CYJSTX01-09)

四川农业大学学报

OA北大核心

1000-2650

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