Genomic Selection for Frogeye Leaf Spot Resistance in Soybean

Yao Lanning ¹Chen Yizhi ¹Li Haochen ²Zhang Yue ³Xia Mingyu ³Ning Shicheng ⁴Ning Hailong⁵

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作者信息

1. College of Arts and Sciences,Northeast Agricultural University,Harbin 150030,China
2. College of Life Sciences,Northeast Agricultural University,Harbin 150030,China
3. College of Economics and Management,Northeast Agricultural University,Harbin 150030,China
4. College of Veterinary Medicine,Northeast Agricultural University,Harbin 150030,China
5. Key Laboratory of Soybean Biology,Ministry of Education,Key Laboratory of Soybean Biology and Breeding/Genetics,Ministry of Agriculture,College of Agriculture,Northeast Agricultural University,Harbin 150030,China;Zhongnongfa Wudalianchi Agricultural Technology Co.,Ltd,Wudalianchi 164100,Heilongjiang,China
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Abstract

Soybean frogeye leaf spot(FLS)disease is a global disease affecting soybean yield,especially in the soybean growing area of Heilongjiang Province.In order to realize genomic selection breeding for FLS resistance of soybean,least absolute shrinkage and selection operator(LASSO)regression and stepwise regression were combined,and a genomic selection model was established for 40 002 SNP markers covering soybean genome and relative lesion area of soybean FLS.As a result,68 molecular markers controlling soybean FLS were detected accurately,and the phenotypic contribution rate of these markers reached 82.45%.In this study,a model was established,which could be used directly to evaluate the resistance of soybean FLS and to select excellent offspring.This research method could also provide ideas and methods for other plants to breeding in disease resistance.

Key words

LASSO regression/stepwise regression/genomic selection model/soybean/frogeye leaf spot(FLS)disease

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基金项目

国家重点研发计划(2021YFD1201103-01-05)

出版年

2024

东北农业大学学报(英文版)

东北农业大学

东北农业大学学报(英文版)

影响因子：0.075

ISSN：1006-8104

参考文献量14

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