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

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 (tactical...

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Detalles Bibliográficos
Autores principales: Jahufer, M. Z. Z., Arojju, Sai Krishna, Faville, Marty J., Ghamkhar, Kioumars, Luo, Dongwen, Arief, Vivi, Yang, Wen-Hsi, Sun, Mingzhu, DeLacy, Ian H., Griffiths, Andrew G., Eady, Colin, Clayton, Will, Stewart, Alan V., George, Richard M., Hoyos-Villegas, Valerio, Basford, Kaye E., Barrett, Brent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225875/
https://www.ncbi.nlm.nih.gov/pubmed/34168203
http://dx.doi.org/10.1038/s41598-021-92537-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225875/
https://www.ncbi.nlm.nih.gov/pubmed/34168203
http://dx.doi.org/10.1038/s41598-021-92537-w

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