The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation

Hayes, Ben J., Lewin, Harris A. and Goddard, Michael E. (2013) The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation. Trends in Genetics, 29 4: 206-214. doi:10.1016/j.tig.2012.11.009


Author Hayes, Ben J.
Lewin, Harris A.
Goddard, Michael E.
Title The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation
Journal name Trends in Genetics   Check publisher's open access policy
ISSN 0168-9525
1362-4555
Publication date 2013-04
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.tig.2012.11.009
Open Access Status Not yet assessed
Volume 29
Issue 4
Start page 206
End page 214
Total pages 9
Place of publication Kidlington, Oxford, United Kingdom
Publisher Elsevier
Language eng
Abstract As the global population and global wealth both continue to increase, so will the demand for livestock products, especially those that are highly nutritious. However, competition with other uses for land and water resources will also intensify, necessitating more efficient livestock production. In addition, as climate change escalates, reduced methane emissions from cattle and sheep will be a critical goal. Application of new technologies, including genomic selection and advanced reproductive technologies, will play an important role in meeting these challenges. Genomic selection, which enables prediction of the genetic merit of animals from genome-wide SNP markers, has already been adopted by dairy industries worldwide and is expected to double genetic gains for milk production and other traits. Here, we review these gains. We also discuss how the use of whole-genome sequence data should both accelerate the rate of gain and enable rapid discovery and elimination of genetic defects from livestock populations.
Keyword Breeding
Genomic selection
Livestock production
Methane emissions
Rumen microbiome
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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