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Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine
Viticulture has to cope with climate change and to decrease pesticide inputs, while maintaining yield and wine quality. Breeding is a key lever to meet this challenge, and genomic prediction a promising tool to accelerate breeding programs. Multivariate methods are potentially more accurate than uni...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496232/ https://www.ncbi.nlm.nih.gov/pubmed/34544146 http://dx.doi.org/10.1093/g3journal/jkab248 |