Article
Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine.
G3 (Bethesda, Md.) - 6 Sept 2021
Brault Charlotte, Doligez Agnès, Cunff Le, Coupel-Ledru Aude, Simonneau Thierry, Chiquet Julien, This Patrice, Flutre Timothée
Abstract excerpt
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 univariate ones. Moreover, some prediction methods also provide marker selection, thus allowing quantitative trait loci...
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