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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Gepubliceerd in:Sci Rep
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group UK 2021
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8225875/
https://ncbi.nlm.nih.gov/pubmed/34168203
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-92537-w
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