k‐mer‐based GWAS enhances the discovery of causal variants and candidate genes in soybean
Abstract Genome‐wide association studies (GWAS) are powerful statistical methods that detect associations between genotype and phenotype at genome scale. Despite their power, GWAS frequently fail to pinpoint the causal variant or the gene controlling a given trait in crop species. Assessing genetic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-12-01
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| Series: | The Plant Genome |
| Online Access: | https://doi.org/10.1002/tpg2.20374 |