Cappa Eduardo Pablo, El-Kassaby Yousry A., Munoz Facundo, Garcia Martín N., Villalba Pamela V., Klápste Jaroslav, Marcucci Poltri Susana N.. 2018. Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers. Plant Science, 271 : 27-33.
Version publiée
- Anglais
Accès réservé aux personnels Cirad Utilisation soumise à autorisation de l'auteur ou du Cirad. Cappa et al. - 2018 - Genomic-based multiple-trait evaluation in Eucalyp.pdf Télécharger (456kB) | Demander une copie |
Quartile : Q1, Sujet : PLANT SCIENCES / Quartile : Q2, Sujet : BIOCHEMISTRY & MOLECULAR BIOLOGY
Résumé : We investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and on the genomic correlations between growth and stem straightness in an open-pollinated Eucalyptus grandis population. Additionally, the added advantage of incorporating genomic information on the theoretical accuracies of parents and offspring breeding values was evaluated. Our results suggested that the use of the combined approach for estimating heritabilities and additive genetic correlations in multiple-trait evaluations is advantageous and including genomic information increases the expected accuracy of breeding values. Furthermore, the multiple-trait combined approach was proven to be superior to the single-trait combined approach in predicting breeding values, in particular for low-heritability traits. Finally, our results advocate the use of the combined approach in forest tree progeny testing trials, specifically when a multiple-trait individual-tree mixed model is considered.
Mots-clés Agrovoc : Eucalyptus grandis, analyse multivariée, modèle linéaire, paramètre génétique
Mots-clés libres : Multivariate statistical analysis, Genetic parameters, Linear Mixed Models, Accuracy of GS prediction, Eucalyptus grandis
Classification Agris : F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques
Champ stratégique Cirad : Hors axes (2014-2018)
Auteurs et affiliations
- Cappa Eduardo Pablo, INTA (ARG) - auteur correspondant
- El-Kassaby Yousry A., University of British Columbia (CAN)
- Munoz Facundo, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-5061-4241
- Garcia Martín N., CONICET (ARG)
- Villalba Pamela V., CONICET (ARG)
- Klápste Jaroslav, University of British Columbia (CAN)
- Marcucci Poltri Susana N., INTA (ARG)
Source : Cirad-Agritrop (https://agritrop.cirad.fr/596284/)
[ Page générée et mise en cache le 2024-12-19 ]