Envirotyping Within a Multi-environment Trial Allowed Identifying Genetic Determinants of Winter Oilseed Rape Yield Stability

Overview

Journal Theor Appl Genet

Publisher Springer

Specialty Genetics

Date 2024 Jun 19

PMID 38898332

Authors

Erwan Corlouer

Christopher Sauvage

Magalie Leveugle

Nathalie Nesi

Anne Laperche

Affiliations

Soon will be listed here.

Abstract

A comprehensive environmental characterization allowed identifying stable and interactive QTL for seed yield: QA09 and QC09a were detected across environments; whereas QA07a was specifically detected on the most stressed environments. A main challenge for rapeseed consists in maintaining seed yield while adapting to climate changes and contributing to environmental-friendly cropping systems. Breeding for cultivar adaptation is one of the keys to meet this challenge. Therefore, we propose to identify the genetic determinant of seed yield stability for winter oilseed rape using GWAS coupled with a multi-environmental trial and to interpret them in the light of environmental characteristics. Due to a comprehensive characterization of a multi-environmental trial using 79 indicators, four contrasting envirotypes were defined and used to identify interactive and stable seed yield QTL. A total of four QTLs were detected, among which, QA09 and QC09a, were stable (detected at the multi-environmental trial scale or for different envirotypes and environments); and one, QA07a, was specifically detected into the most stressed envirotype. The analysis of the molecular diversity at QA07a showed a lack of genetic diversity within modern lines compared to older cultivars bred before the selection for low glucosinolate content. The results were discussed in comparison with other studies and methods as well as in the context of breeding programs.

Citing Articles

A comprehensive dataset of near infrared spectroscopy measurements to predict nitrogen and carbon contents in a wide range of tissues from plants grown under contrasted environments.

Rolland S, Leprince F, Guichard S, Caherec F, Laperche A, Nesi N Data Brief. 2024; 57:111163.

PMID: 39717130 PMC: 11663971. DOI: 10.1016/j.dib.2024.111163.

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