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Towards genome-wide breeding for yield stability in spring pea

Authors :
Klein, Anthony
Tayeh, Nadim
Siol, Mathieu
Herbommez, J.F.
Pichon, Jean-Philippe
Duarte, Jorge
Duborjal, H.
Houtin, Hervé
Blanc, Norbert
Valdrini, Jean-Marc
Walczak, Patrice
Bleriot, Olivier
Hanocq, Eric
Chassin, Alain
Bidon, Marc
Huart, Myriam
Touratier, Michael
Martin, Chantal
Jacquin, Françoise
Aubert, Gregoire
Burstin, Judith
Agroécologie [Dijon]
Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Adrien Momont & fils SARL
BIOGEMMA
Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES)
Institut National de la Recherche Agronomique (INRA)
Domaine expérimental de la Motte au Vicomte (RENN RHEU UE)
Fourrages Environnement Ruminants Lusignan (FERLUS)
Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE)
UE 1375 Phénotypage Au Champ des Céréales
Institut National de la Recherche Agronomique (INRA)-Santé des plantes et environnement (S.P.E.)-Biologie et Amélioration des Plantes (BAP)-Phénotypage Au Champ des Céréales (PHACC)
Institut National de la Recherche Agronomique (INRA). FRA.
Source :
2. Annual Meeting PeaMUST, 2. Annual Meeting PeaMUST, Dec 2014, Dijon, France. 2014, 2014; 2. Annual Meeting PeaMUST, Dijon, FRA, 2014-12-08-2014-12-09
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

National audience; Field pea (Pisum sativum L.) is an attractive crop for human and livestock nutrition and an important contributor to low-input farming systems. Multiple environmental challenges face field pea production and penalize yield regularity. The work-package 1 of the French National ANR project PeaMUST aims at identifying efficient gene combinations for yield stability in low-input cropping systems through genomic selection. Genomic selection is a new breeding method that uses increasingly abundant genomic information and statistical modelling to select superior genotypes based on genomic estimated breeding values (GEBVs). The main goals are: 1- to build a genomic selection prediction equation for yield stability in low-input cropping systems, 2- to implement a genomic selection program and, 3- to evaluate the genetic progress obtained after one and two genomic selection cycles.

Details

Language :
English
Database :
OpenAIRE
Journal :
2. Annual Meeting PeaMUST, 2. Annual Meeting PeaMUST, Dec 2014, Dijon, France. 2014, 2014; 2. Annual Meeting PeaMUST, Dijon, FRA, 2014-12-08-2014-12-09
Accession number :
edsair.dedup.wf.001..aa2c4cf6c7a4d7586fbab3a5e0d372a0