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INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Alexandre MARCHAL (PhD student) - Prediction and management of Genome and Population Diversity in forest trees

Alexandre MARCHAL
© Alexandre MARCHAL
du 01/10/2014 au 01/10/2017 - "Study of larch hybrid vigor and role of phenotypic plasticity in stational stability of interspecific hybrids."

Encadrants : Luc Pâques et Leopoldo Sanchez Rodriguez

Tel : 33(0)2.38.41.48.18
Email : alexandre.marchal [at] orleans.inra.fr

Functions

Cursus

Research topics

Hybrid larch (Larix × eurolepis Henry), that comes from the cross between European larch (L. decidua Mill) & Japanese larch (L. kaempferi (Lambert) Carr.), shows heterosis on its growth traits. My thesis aims to:

  • Quantify and describe heterosis on several production and adaptation traits, thanks to a multisite diallel.
    • Set-up of a genetic model allowing simultaneous analysis of parental species and their hybrid ;
    • Account for environment, shared between the 3 taxa, including spatial heterogeneity and competition between neighbour trees.
  • Identify the role of phenotypic plasticity in the expression of heterosis of wood formation.
    • Connection of growth variables and microdensitometric variables to climatic indexes ;
    • Reaction norms modeling, using random regression.
  • Evolution of heterosis in in-depth hybridization, along an inbreeding gradient.

Past researches

MSc Internship: Research on oil palm genomic selection, managed by David Cros (Montpellier Cirad). Oil palm is an intraspecific hybrid, bred with reciprocal recurrent selection. During this internship, we showed that a multivariate approach improves the selection accuracy of the genomic selection model G-BLUP. Several relationship estimators have been compared, and we confirmed, among others, superiority of G-BLUP over a classical model using pedigree only. Finally, we optimized the number of markers (microsatellites) needed for oil palm genomic selection.