Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm
Background: Common wheat (Triticum aestivum L.) is one of the most widely grown and consumed cereal crops, but its complicated genome makes it difficult to study how genes affect important agronomic and yield-related traits. Genome-wide association study (GWAS) is a useful method for finding specifi...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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BioMed Central Ltd
2025
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| Acceso en línea: | https://hdl.handle.net/10568/179249 |
| _version_ | 1855542503521910784 |
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| author | Thakur, Ankita Dhariwal, Raman Joshi, Arun Mishra, Vinod Kumar Sharma, Sandeep Singh, Mukesh Kumar Kumar, Sundeep Vasistha, Neeraj |
| author_browse | Dhariwal, Raman Joshi, Arun Kumar, Sundeep Mishra, Vinod Kumar Sharma, Sandeep Singh, Mukesh Kumar Thakur, Ankita Vasistha, Neeraj |
| author_facet | Thakur, Ankita Dhariwal, Raman Joshi, Arun Mishra, Vinod Kumar Sharma, Sandeep Singh, Mukesh Kumar Kumar, Sundeep Vasistha, Neeraj |
| author_sort | Thakur, Ankita |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Background: Common wheat (Triticum aestivum L.) is one of the most widely grown and consumed cereal crops, but its complicated genome makes it difficult to study how genes affect important agronomic and yield-related traits. Genome-wide association study (GWAS) is a useful method for finding specific loci that control complex agronomic and yield-related traits. Results: The present investigation revealed significant phenotypic variability across the genotypes examined for all traits. The broad sense heritability (H2) for all traits ranged from 0.50 to 0.71 (Env1; 2021–2022) and 0.53 to 0.81 (Env2; 2022–2023). Using two environments’ phenotypic data, and high-throughput single-nucleotide polymorphisms (SNPs) genotypic data of 20,996 markers, we discovered 114 grain-yield-related quantitative trait loci (QTLs) and 300 associated SNP markers. Eighty-five of the identified markers were stable, consistently detected across environments (Env1 and Env2) and combined environment (CE) data, and showed a significant association with 32 different QTLs. The trait with the most associated QTLs (28) was the number of fertile tillers (NFT), with 70 markers. This was followed by 20 QTLs for each, spike length (SL) and spikelet number per spike (SPS), with 69 and 82 SNPs, respectively. Conversely, six SNPs that exhibited association with multiple traits were also identified. Twenty-nine of the total 114 identified QTLs were located in chromosomal positions where at least one marker-trait association had been previously identified. Conclusion: his study has found new SNPs, and useful QTLs that may help us to understand the biological processes behind each studied trait. Further validation in various genetic backgrounds and environments is necessary to confirm the potential utility of the significant alleles found in this study for breeding wheat varieties with improved agronomic and yield-related traits. |
| format | Journal Article |
| id | CGSpace179249 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | BioMed Central Ltd |
| publisherStr | BioMed Central Ltd |
| record_format | dspace |
| spelling | CGSpace1792492025-12-24T02:17:30Z Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm Thakur, Ankita Dhariwal, Raman Joshi, Arun Mishra, Vinod Kumar Sharma, Sandeep Singh, Mukesh Kumar Kumar, Sundeep Vasistha, Neeraj agronomic characters genome-wide association studies wheat association mapping Background: Common wheat (Triticum aestivum L.) is one of the most widely grown and consumed cereal crops, but its complicated genome makes it difficult to study how genes affect important agronomic and yield-related traits. Genome-wide association study (GWAS) is a useful method for finding specific loci that control complex agronomic and yield-related traits. Results: The present investigation revealed significant phenotypic variability across the genotypes examined for all traits. The broad sense heritability (H2) for all traits ranged from 0.50 to 0.71 (Env1; 2021–2022) and 0.53 to 0.81 (Env2; 2022–2023). Using two environments’ phenotypic data, and high-throughput single-nucleotide polymorphisms (SNPs) genotypic data of 20,996 markers, we discovered 114 grain-yield-related quantitative trait loci (QTLs) and 300 associated SNP markers. Eighty-five of the identified markers were stable, consistently detected across environments (Env1 and Env2) and combined environment (CE) data, and showed a significant association with 32 different QTLs. The trait with the most associated QTLs (28) was the number of fertile tillers (NFT), with 70 markers. This was followed by 20 QTLs for each, spike length (SL) and spikelet number per spike (SPS), with 69 and 82 SNPs, respectively. Conversely, six SNPs that exhibited association with multiple traits were also identified. Twenty-nine of the total 114 identified QTLs were located in chromosomal positions where at least one marker-trait association had been previously identified. Conclusion: his study has found new SNPs, and useful QTLs that may help us to understand the biological processes behind each studied trait. Further validation in various genetic backgrounds and environments is necessary to confirm the potential utility of the significant alleles found in this study for breeding wheat varieties with improved agronomic and yield-related traits. 2025-12 2025-12-23T17:47:17Z 2025-12-23T17:47:17Z Journal Article https://hdl.handle.net/10568/179249 en Open Access application/pdf BioMed Central Ltd Thakur, A., Dhariwal, R., Joshi, A. K., Mishra, V. K., Sharma, S., Singh, M. K., Kumar, S., & Vasistha, N. K. (2025). Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm. BMC Plant Biology, 25(1), 1499. https://doi.org/10.1186/s12870-025-07263-6 |
| spellingShingle | agronomic characters genome-wide association studies wheat association mapping Thakur, Ankita Dhariwal, Raman Joshi, Arun Mishra, Vinod Kumar Sharma, Sandeep Singh, Mukesh Kumar Kumar, Sundeep Vasistha, Neeraj Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm |
| title | Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm |
| title_full | Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm |
| title_fullStr | Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm |
| title_full_unstemmed | Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm |
| title_short | Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm |
| title_sort | genome wide association study for agronomic and yield related traits in spring wheat triticum aestivum l germplasm |
| topic | agronomic characters genome-wide association studies wheat association mapping |
| url | https://hdl.handle.net/10568/179249 |
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