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https://hdl.handle.net/1959.11/15937
Title: | Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding | Contributor(s): | de los Campos, Gustavo (author); Hickey, John (author); Pong-Wong, Ricardo (author); Daetwyler, Hans D (author); Calus, Mario P L (author) | Publication Date: | 2013 | Open Access: | Yes | DOI: | 10.1534/genetics.112.143313 | Handle Link: | https://hdl.handle.net/1959.11/15937 | Abstract: | Genomic-enabled prediction is becoming increasingly important in animal and plant breeding and is also receiving attention in human genetics. Deriving accurate predictions of complex traits requires implementing whole-genome regression (WGR) models where phenotypes are regressed on thousands of markers concurrently. Methods exist that allow implementing these large-p with small-n regressions, and genome-enabled selection (GS) is being implemented in several plant and animal breeding programs. The list of available methods is long, and the relationships between them have not been fully addressed. In this article we provide an overview of available methods for implementing parametric WGR models, discuss selected topics that emerge in applications, and present a general discussion of lessons learned from simulation and empirical data analysis in the last decade. | Publication Type: | Journal Article | Source of Publication: | Genetics, 193(2), p. 327-345 | Publisher: | Genetics Society of America | Place of Publication: | United States of America | ISSN: | 1943-2631 0016-6731 |
Fields of Research (FoR) 2008: | 070301 Agro-ecosystem Function and Prediction 070201 Animal Breeding 060408 Genomics |
Fields of Research (FoR) 2020: | 300402 Agro-ecosystem function and prediction 300305 Animal reproduction and breeding 310509 Genomics |
Socio-Economic Objective (SEO) 2008: | 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences | Socio-Economic Objective (SEO) 2020: | 280101 Expanding knowledge in the agricultural, food and veterinary sciences | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article |
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