Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine
AbstractViticulture 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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2021-07-01
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| Series: | G3: Genes, Genomes, Genetics |
| Online Access: | https://academic.oup.com/g3journal/article-lookup/doi/10.1093/g3journal/jkab248 |