Genomic and phenomic predictions help capture low-effect alleles promoting seed germination in oilseed rape in addition to QTL analyses

Author:

Laurençon Marianne1,Legrix Julie1,Wagner Marie-Hélène2,Demilly Didier2,Baron Cécile1,Rolland Sophie1,Ducournau Sylvie2,Laperche Anne3ORCID,Nesi Nathalie1

Affiliation:

1. INRAE Bretagne-Normandie: Institut National de Recherche pour l'Agriculture l'Alimentation et l'Environnement Centre Bretagne-Normandie

2. GEVES

3. L'Institut Agro Rennes-Angers

Abstract

Abstract

Oilseed rape faces many challenges, especially at the beginning of its developmental cycle. Achieving rapid and uniform seed germination could help to ensure a successful establishment, and therefore enabling the crop to compete with weeds and tolerate stresses during the earliest developmental stages. The polygenic nature of seed germination was highlighted in several studies, and more knowledge is needed about low- to moderate-effect underlying loci in order to enhance seed germination effectively by improving the genetic background and incorporating favorable alleles. A total of 17 QTL were detected for seed germination-related traits, for which the favorable alleles often corresponded to the most frequent alleles in the panel. Genomic and phenomic predictions methods provided moderate to high predictive abilities, demonstrating the ability to capture small additive and non-additive effects for seed germination. This study also showed that phenomic prediction better estimated breeding values than genomic prediction. Finally, as the predictive ability of phenomic prediction was less influenced by the genetic structure of the panel, it is worth using this prediction method to characterize genetic resources, particularly with a view to design prebreeding populations.

Publisher

Research Square Platform LLC

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