Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat
Background: Recently genomic selection (GS) has emerged as an important tool for plant breeders to select superior genotypes. Multi-trait (MT) prediction model provides an opportunity to improve the predictive ability of expensive and labor-intensive traits. In this study, we assessed the potential...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/130122 |
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