Efficiency of multi-trait genomic selection in two contexts of Eucalyptus breeding

Bouvet Jean-Marc, Rambolarimanana Tahina, Makouanzi Garel, Ramamonjisoa Lolona, Leong Pock Tsy Jean-Michel, Cao-Hamadou Tuong-Vi, Vigneron Philippe. 2018. Efficiency of multi-trait genomic selection in two contexts of Eucalyptus breeding. In : Eucalyptus 2018: Managing Eucalyptus plantation under global changes. Abstracts book. CIRAD, IUFRO, MUSE. Montpellier : CIRAD, Résumé, p. 84. ISBN 978-2-87614-743-0 Eucalyptus 2018, Montpellier, France, 17 September 2018/21 September 2018.

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Abstract : In this study we explore the performance of multi-trait genomic selection (MT-GS) using the single-trait version (ST-GS) as the baseline. We implemented the approaches in two Eucalyptus breeding schemes. In Congo, where commercial plantations of E. urophylla*grandis are dedicated to pulp production, we considered height increment between 8 and 18 months (H8 18), critical trait to avoid weed competition, and volume at 55 months (V55), the target trait, to analyse the interest of MT-GS. We used 3303 SNP to define the relationship matrices and to estimate breeding values of 1130 cloned hybrid progenies. The prediction accuracy was estimated through a cross validation process (75% of tree in the training set). For H8 18, the accuracy was 0.354 and 0.370 for ST-GS and MT-GS respectively. For V55, the accuracy attained 0.414 and 0.424 for ST-GS and MT-GS respectively. Although MT-GS presented higher accuracies, estimates were not significantly di↵erent. This result was explained by the low heritability of V55 and H8 18 (h2=0.26 and h2=0.13) and the relatively high genetic correlation (⇢a =0.77). In Madagascar, where E. robusta small-scale plantations are grown for fuel wood, the volume at 49 months (V49), the total lignin (TL) and the holo-cellulose (Holo) are the targeted traits for breeding. 2919 SNP were used to define the relationship matrix and estimate breeding values of 415 individuals of a provenance trial. Accuracies were estimated through the same procedure. For V49, the prediction accuracy attained 0.30 for both ST-GS and MT-GS. For TL, the prediction accuracy was near zero whatever the approach (0.05 for ST-GS and 0.04 for MT-GS).

Mots-clés libres : Eucalyptus, Abiotic stresses, Genomic selection, Multi criteria assessment, Madagascar, Congo

Auteurs et affiliations

  • Bouvet Jean-Marc, CIRAD-BIOS-UMR AGAP (MDG)
  • Rambolarimanana Tahina, Université d'Antananarivo (MDG)
  • Makouanzi Garel, Université Marien Ngouabi (COG)
  • Ramamonjisoa Lolona, Université d'Antananarivo (MDG)
  • Leong Pock Tsy Jean-Michel, FOFIFA (MDG)
  • Cao-Hamadou Tuong-Vi, CIRAD-BIOS-UMR AGAP (FRA)
  • Vigneron Philippe, CIRAD-ES-UPR Forêts et sociétés (GAB)

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