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GWAS and genomic prediction for pre-harvest sprouting tolerance involving sprouting score and two other related traits in spring wheat.
Kumar, Manoj; Kumar, Sachin; Sandhu, Karansher Singh; Kumar, Neeraj; Saripalli, Gautam; Prakash, Ram; Nambardar, Akash; Sharma, Hemant; Gautam, Tinku; Balyan, Harindra Singh; Gupta, Pushpendra Kumar.
Afiliação
  • Kumar M; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
  • Kumar S; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
  • Sandhu KS; Bayer Crop Sciences, Chesterfield, MO 63017 USA.
  • Kumar N; Department of Plant and Environmental Sciences, Clemson University, Clemson, SC USA.
  • Saripalli G; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
  • Prakash R; Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD USA.
  • Nambardar A; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
  • Sharma H; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
  • Gautam T; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
  • Balyan HS; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
  • Gupta PK; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India.
Mol Breed ; 43(3): 14, 2023 Mar.
Article em En | MEDLINE | ID: mdl-37313293
In wheat, a genome-wide association study (GWAS) and genomic prediction (GP) analysis were conducted for pre-harvest sprouting (PHS) tolerance and two of its related traits. For this purpose, an association panel of 190 accessions was phenotyped for PHS (using sprouting score), falling number, and grain color over two years and genotyped with 9904 DArTseq based SNP markers. GWAS for main-effect quantitative trait nucleotides (M-QTNs) using three different models (CMLM, SUPER, and FarmCPU) and epistatic QTNs (E-QTNs) using PLINK were performed. A total of 171 M-QTNs (CMLM, 47; SUPER, 70; FarmCPU, 54) for all three traits, and 15 E-QTNs involved in 20 first-order epistatic interactions were identified. Some of the above QTNs overlapped the previously reported QTLs, MTAs, and cloned genes, allowing delineating 26 PHS-responsive genomic regions that spread over 16 wheat chromosomes. As many as 20 definitive and stable QTNs were considered important for use in marker-assisted recurrent selection (MARS). The gene, TaPHS1, for PHS tolerance (PHST) associated with one of the QTNs was also validated using the KASP assay. Some of the M-QTNs were shown to have a key role in the abscisic acid pathway involved in PHST. Genomic prediction accuracies (based on the cross-validation approach) using three different models ranged from 0.41 to 0.55, which are comparable to the results of previous studies. In summary, the results of the present study improved our understanding of the genetic architecture of PHST and its related traits in wheat and provided novel genomic resources for wheat breeding based on MARS and GP. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01357-5.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article