Interest of phenomic prediction as an alternative to genomic prediction in grapevine.

ABSTRACT:

Background

Phenomic prediction has been defined as an alternative to genomic prediction by using spectra instead of molecular markers. A reflectance spectrum provides information on the biochemical composition within a tissue, itself being under genetic determinism. Thus, a relationship matrix built from spectra could potentially capture genetic signal. This new methodology has been mainly applied in several annual crop species but little is known so far about its interest in perennial species. Besides, phenomic prediction has only been tested for a restricted set of traits, mainly related to yield or phenology. This study aims at applying phenomic prediction for the first time in grapevine, using spectra collected on two tissues and over two consecutive years, on two populations a

SUBMITTER: Brault C 

PROVIDER: S-EPMC9442960 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature