Extreme trait GWAS (Et-GWAS): Unraveling rare variants in the 3,000 rice genome
Identifying high-impact, rare genetic variants associated with specific traits is crucial for crop improvement. The 3,010 rice genome (3K RG) dataset offers a valuable resource for discovering genomic regions with potential applications in crop breeding. We used Extreme Trait GWAS (Et-GWAS), employi...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Life Science Alliance
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/163737 |
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