Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions
Wheat end-use quality is an important component of a wheat breeding program. Heat stress during grain filling impacts wheat quality traits, making it crucial to understand the genetic basis of wheat quality traits under post-anthesis heat stress. This study aimed to identify the genomic regions asso...
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2024-11-01
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| author | Dipendra Shahi Jia Guo Sumit Pradhan Muhsin Avci Guihua Bai Jahangir Khan Byung-Kee Baik Mohamed Mergoum Md Ali Babar |
| author_facet | Dipendra Shahi Jia Guo Sumit Pradhan Muhsin Avci Guihua Bai Jahangir Khan Byung-Kee Baik Mohamed Mergoum Md Ali Babar |
| author_sort | Dipendra Shahi |
| collection | DOAJ |
| description | Wheat end-use quality is an important component of a wheat breeding program. Heat stress during grain filling impacts wheat quality traits, making it crucial to understand the genetic basis of wheat quality traits under post-anthesis heat stress. This study aimed to identify the genomic regions associated with wheat quality traits using genome-wide association studies (GWASs) and evaluate the prediction accuracy of different genomic selection (GS) models. A panel of 236 soft red facultative wheat genotypes was evaluated for end-use quality traits across four heat-stressed environments over three years. Significant phenotypic variation was observed across environments for traits such as grain yield (GY), grain protein (GP), grain hardness (GH), and flour yield (AFY). Heritability estimates ranged from 0.52 (GY) to 0.91 (GH). The GWASs revealed 136 significant marker–trait associations (MTAs) across all 21 chromosomes, with several MTAs located within candidate genes involved in stress responses and quality traits. Genomic selection models showed prediction accuracy values up to 0.60, with within-environment prediction outperforming across-environment prediction. These results suggest that integrating GWAS and GS approaches can enhance the selection of wheat quality traits under heat stress, contributing to the development of heat-tolerant varieties. |
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| institution | Kabale University |
| issn | 2079-7737 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Biology |
| spelling | doaj-art-bd90410b7d514be6a701abdd7f8e44c82024-12-27T14:11:51ZengMDPI AGBiology2079-77372024-11-01131296210.3390/biology13120962Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed ConditionsDipendra Shahi0Jia Guo1Sumit Pradhan2Muhsin Avci3Guihua Bai4Jahangir Khan5Byung-Kee Baik6Mohamed Mergoum7Md Ali Babar8School of Plant, Environmental and Soil Sciences, Louisiana State Agricultural Center, Baton Rouge, LA 70803, USAInari Agriculture, 1281 Win Hentschel Blvd w1108, West Lafayette, IN 47906, USADepartment of Agronomy, University of Florida, 3105 McCarty Hall B, Gainesville, FL 32611, USADepartment of Agronomy, University of Florida, 3105 McCarty Hall B, Gainesville, FL 32611, USAUSDA-ARS Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66506, USAPARC-Balochistan Agricultural Research and Development Center, Quetta 87300, Pakistan16USDA-ARS, Corn, Soybean and Wheat Quality Research Laboratory Unit, Wooster, OH 44691, USA0260 Redding Building, Department of Agronomy, 1109 Experiment St, Griffin, GA 30223, USADepartment of Agronomy, University of Florida, 3105 McCarty Hall B, Gainesville, FL 32611, USAWheat end-use quality is an important component of a wheat breeding program. Heat stress during grain filling impacts wheat quality traits, making it crucial to understand the genetic basis of wheat quality traits under post-anthesis heat stress. This study aimed to identify the genomic regions associated with wheat quality traits using genome-wide association studies (GWASs) and evaluate the prediction accuracy of different genomic selection (GS) models. A panel of 236 soft red facultative wheat genotypes was evaluated for end-use quality traits across four heat-stressed environments over three years. Significant phenotypic variation was observed across environments for traits such as grain yield (GY), grain protein (GP), grain hardness (GH), and flour yield (AFY). Heritability estimates ranged from 0.52 (GY) to 0.91 (GH). The GWASs revealed 136 significant marker–trait associations (MTAs) across all 21 chromosomes, with several MTAs located within candidate genes involved in stress responses and quality traits. Genomic selection models showed prediction accuracy values up to 0.60, with within-environment prediction outperforming across-environment prediction. These results suggest that integrating GWAS and GS approaches can enhance the selection of wheat quality traits under heat stress, contributing to the development of heat-tolerant varieties.https://www.mdpi.com/2079-7737/13/12/962end-use qualityheat stressGWASgenomic selection |
| spellingShingle | Dipendra Shahi Jia Guo Sumit Pradhan Muhsin Avci Guihua Bai Jahangir Khan Byung-Kee Baik Mohamed Mergoum Md Ali Babar Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions Biology end-use quality heat stress GWAS genomic selection |
| title | Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions |
| title_full | Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions |
| title_fullStr | Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions |
| title_full_unstemmed | Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions |
| title_short | Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions |
| title_sort | genome wide association study and genomic prediction of soft wheat end use quality traits under post anthesis heat stressed conditions |
| topic | end-use quality heat stress GWAS genomic selection |
| url | https://www.mdpi.com/2079-7737/13/12/962 |
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