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Performance of multi-trait genomic selection for Eucalyptus robusta breeding program

Rambolarimanana Herintahina, Ramamonjisoa Lolona, Verhaegen Daniel, Leong Pock Tsy Jean-Michel, Jacquin Laval, Cao-Hamadou Tuong-Vi, Makouanzi Chrissy Garel, Bouvet Jean-Marc. 2018. Performance of multi-trait genomic selection for Eucalyptus robusta breeding program. Tree Genetics and Genomes, 14 (5):71, 13 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : HORTICULTURE / Quartile : Q2, Sujet : FORESTRY / Quartile : Q3, Sujet : GENETICS & HEREDITY

Abstract : In forest tree genetic improvement, multi-trait genomic selection (GS) may have advantages in improving the accuracy of the genotype estimation and shortening selection cycles. For the breeding of Eucalyptus robusta, one of the most exotic planted species in Madagascar, volume at 49 months (V49), total lignin (TL), and holo-cellulose (Holo) were considered. For GS, 2919 single nucleotide polymorphisms (SNP) were used with the genomic best linear unbiased predictor (GBLUP) method, which was as efficient as the reproducing kernel Hilbert space (RKHS) and elastic net methods (EN), but more adapted to multi-trait modeling. The efficiency of individual I model, including the genomic data, was much higher than the provenance effect P model. For example, with V49, mean goodness-of-fit was: rI_Full = 0.79, rP_Full = 0.37 for I and P, respectively. The prediction accuracies using the cross-validation procedure were lower for V49: rI = 0.29 rP = 0.28. The genetic gains resulting from the indexes associating (V49, TL) and (V49, Holo) were higher using I than for the P model; for V49, the relative genetic gain was 37 and 20%, respectively, with 5% of selection intensity. The single-trait approach was as efficient as the multi-trait approach given the weak correlations between V49 and TL or Holo. The I model also brings greater diversity: for V49 the number of provenances represented in a selected population was two and three with the P model, and 6 and 16 with the I model.

Mots-clés Agrovoc : Eucalyptus robusta, Arbre forestier, Index de sélection, génomique, amélioration génétique, Variation génétique, Lignine, Cellulose

Mots-clés géographiques Agrovoc : Madagascar

Mots-clés complémentaires : Sélection génotypique

Mots-clés libres : Genomic selection, Eucalyptus, Tree breeding, Genetic gain, Multitrait selection

Classification Agris : K10 - Forestry production
F30 - Plant genetics and breeding

Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

  • Rambolarimanana Herintahina, CIRAD-BIOS-UMR AGAP (FRA)
  • Ramamonjisoa Lolona, ESSA (MDG)
  • Verhaegen Daniel, CIRAD-BIOS-UMR AGAP (MDG)
  • Leong Pock Tsy Jean-Michel, FOFIFA (MDG)
  • Jacquin Laval, Université de Montpellier (FRA)
  • Cao-Hamadou Tuong-Vi, CIRAD-BIOS-UMR AGAP (FRA)
  • Makouanzi Chrissy Garel, CIRAD-BIOS-UMR AGAP (FRA)
  • Bouvet Jean-Marc, CIRAD-BIOS-UMR AGAP (MDG) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/588951/)

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