Skip to Main content Skip to Navigation
New interface

Evaluation et mise en œuvre de la sélection phénomique pour la sélection du blé tendre

Abstract : Plant breeding has made significant progress over the last twenty years with the contribution of genomics and predictive methods, such as genomic selection. Other types of information are available to better model the relationship between genotype and phenotype. The objective of this thesis was to evaluate a new selection method, named phenomic selection, which integrates near infrared spectroscopy in predictive models, to improve breeding programs for bread wheat. After having clearly defined the method, we evaluated on data from breeding programs, different factors that can influence the predictive ability of the method. We showed that like genomic selection, phenomic selection is also influenced by the statistical model, the size and the composition of the calibration set. The prediction abilities are also influenced by the origin of acquisition of the spectra and the number of spectra integrated in the model, and this depends on the trait to be predicted. We then evaluated the phenomic selection in different multi-environmental prediction scenarios and showed that the genotype-environment interaction is better modelled by NIR spectra than by molecular markers. On the whole, we showed that phenomic selection is an accurate and low-cost alternative or complement to genomic selection, and we proposed different ways of integrating the method in breeding programs.
Complete list of metadata
Contributor : ABES STAR :  Contact
Submitted on : Thursday, November 24, 2022 - 3:49:13 PM
Last modification on : Friday, November 25, 2022 - 9:32:47 AM


Version validated by the jury (STAR)


  • HAL Id : tel-03870127, version 1



Pauline Robert. Evaluation et mise en œuvre de la sélection phénomique pour la sélection du blé tendre. Agronomie. Université Clermont Auvergne, 2022. Français. ⟨NNT : 2022UCFAC017⟩. ⟨tel-03870127⟩



Record views


Files downloads