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 (...

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Bibliographic Details
Main Authors: 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
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-92537-w

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