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Master Thesis

Évaluation d’une stratégie de sélection génomique chez la tomate cultivée : prise en compte d’informations extérieures et des interactions GxE

Abstract : Genomic selection is an alternative for the reduction of selection costs and rapid genetic progress in plant breeding. Previous genomic selection studies on tomato have evaluated the impact of several factors such as linkage disequilibrium and training population size on prediction accuracy. These evaluations were done using simple environment models that do not consider GxE interactions. In our study, we have evaluated the impact of the integration of GxE interaction and environmental cofactors on prediction accuracy. The simple environment, G+E and GxE models were used to evaluate the prediction accuracy in two population datasets (MAGIC and GWAS) that have been genotyped and phenotyped for several traits in different environments. This study revealed that the prediction accuracy of multi-environment models is better than that of the single environment model. The GxE model has a prediction accuracy as high as that of G+E, and even predicted better than G+E depending on the environment or the composition of the training population. Both models have a higher prediction accuracy than the single environment model (G) when accessions are tested in at least one environment (CV2 sampling) compared to models where some accessions are tested in none of the environments (CV1). The prediction accuracy of these different models was strongly correlated to the heritability of the traits. It increased when the environments were correlated with each other. The integration of environmental co-factors in the GxE model improved prediction accuracy. In limited conditions, CV2 sampling is the most appropriate to make genomic predictions with multi-environment models.
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https://dumas.ccsd.cnrs.fr/dumas-03032941
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Submitted on : Tuesday, December 1, 2020 - 10:23:37 AM
Last modification on : Sunday, December 6, 2020 - 3:21:31 AM
Long-term archiving on: : Tuesday, March 2, 2021 - 6:37:00 PM

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  • HAL Id : dumas-03032941, version 1

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Ange Fouabi. Évaluation d’une stratégie de sélection génomique chez la tomate cultivée : prise en compte d’informations extérieures et des interactions GxE. Agronomie. 2020. ⟨dumas-03032941⟩

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