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 (...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/7505f85100bd48b186e5f6372f6297f0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

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

Ejemplares similares