High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat

Key message High-resolution genome-wide association study (GWAS) facilitated QTL fine mapping and candidate gene identification, and the GWAS based genomic prediction models were highly predictive and valuable in wheat genomic breeding. Wheat is a major staple food crop and provides more than one-fi...

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Bibliographic Details
Published in:	Theoretical and applied genetics Vol. 134; no. 9; pp. 2857 - 2873
Main Authors:	Pang, Yunlong, Wu, Yuye, Liu, Chunxia, Li, Wenhui, St. Amand, Paul, Bernardo, Amy, Wang, Danfeng, Dong, Lei, Yuan, Xiufang, Zhang, Huirui, Zhao, Meng, Li, Linzhi, Wang, Liming, He, Fang, Liang, Yunlong, Yan, Qiang, Lu, Yue, Su, Yu, Jiang, Hongming, Wu, Jiajie, Li, Anfei, Kong, Lingrang, Bai, Guihua, Liu, Shubing
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2021 Springer Springer Nature B.V
Subjects:	Agricultural research Agriculture Biochemistry Biomedical and Life Sciences Biotechnology Calories Chromosome mapping Cold tolerance Control Cultivars Disease resistance Diseases and pests Fungal diseases of plants Gene mapping genes Genetic aspects Genome-wide association studies genome-wide association study Genomes Genomics Genotyping genotyping by sequencing Hardiness Leaf rust Life Sciences marker-assisted selection Methods Original Article Plant Biochemistry Plant breeding Plant Breeding/Biotechnology Plant Genetics and Genomics Plant immunology Plants Powdery mildew prediction Prediction models Quantitative trait loci quantitative traits Single-nucleotide polymorphism staple crops stress tolerance Stripe rust Wheat China
ISSN:	0040-5752, 1432-2242, 1432-2242
Online Access:	Get full text
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