GWAS and genomic prediction for pre-harvest sprouting tolerance involving sprouting score and two other related traits in spring wheat

被引:0
|
作者
Manoj Kumar
Sachin Kumar
Karansher Singh Sandhu
Neeraj Kumar
Gautam Saripalli
Ram Prakash
Akash Nambardar
Hemant Sharma
Tinku Gautam
Harindra Singh Balyan
Pushpendra Kumar Gupta
机构
[1] Chaudhary Charan Singh University,Department of Genetics and Plant Breeding
[2] Bayer Crop Sciences,Department of Plant and Environmental Sciences
[3] Clemson University,Department of Plant Science and Landscape Architecture
[4] University of Maryland,undefined
来源
Molecular Breeding | 2023年 / 43卷
关键词
Wheat; Pre-harvest sprouting tolerance; Quantitative trait nucleotides; Genome-wide association study; Genomic perdition; Candidate genes;
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摘要
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.
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