Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield

Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield

Abstract Increasing the efficiency of current forage breeding programs through adoption of new technologies, such as genomic selection (GS) and phenomics (Ph), is challenging without proof of concept demonstrating cost effective genetic gain (∆G). This paper uses decision support software DeltaGen (...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: M. Z. Z. Jahufer, Sai Krishna Arojju, Marty J. Faville, Kioumars Ghamkhar, Dongwen Luo, Vivi Arief, Wen-Hsi Yang, Mingzhu Sun, Ian H. DeLacy, Andrew G. Griffiths, Colin Eady, Will Clayton, Alan V. Stewart, Richard M. George, Valerio Hoyos-Villegas, Kaye E. Basford, Brent Barrett
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/7505f85100bd48b186e5f6372f6297f0
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/7505f85100bd48b186e5f6372f6297f0

Documents similaires