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Multivariate genomic model improves analysis of oil palm (#Elaeis guineensis# Jacq.) progeny tests

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Marchal A., Legarra A., Tisne S., Carasco-Lacombe C., Manez A., Suryana E., Omoré A., Nouy B., Durand-Gasselin T., Sanchez L., Bouvet J.M., Cros D.
2016

Genomic selection is promising for plant breeding, particularly for perennial crops. Multivariate analysis, which considers several traits jointly, takes advantage of the genetic correlations to increase accuracy. The aim of this study was to empirically evaluate the potential of a univariate and multivariate genomic mixed model (G-BLUP) compared to the traditional univariate pedigree-based BLUP ...

Génétique et amélioration des plantes

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