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Genomic analyses of tropical beef cattle fertility based on genotyping pools of Brahman cows with unknown pedigree.

Authors :
Reverter, A.
Porto-Neto, L. R.
Fortes, M. R. S.
McCulloch, R.
Lyons, R. E.
Moore, S.
Nicol, D.
Henshall, J.
Lehnert, S. A.
Source :
Journal of Animal Science. Oct2016, Vol. 94 Issue 10, p4096-4108. 13p.
Publication Year :
2016

Abstract

We introduce an innovative approach to lowering the overall cost of obtaining genomic EBV (GEBV) and encourage their use in commercial extensive herds of Brahman beef cattle. In our approach, the DNA genotyping of cow herds from 2 independent properties was performed using a highdensity bovine SNP chip on DNA from pooled blood samples, grouped according to the result of a pregnancy test following their first and second joining opportunities. For the DNA pooling strategy, 15 to 28 blood samples from the same phenotype and contemporary group were allocated to pools. Across the 2 properties, a total of 183 pools were created representing 4,164 cows. In addition, blood samples from 309 bulls from the same properties were also taken. After genotyping and quality control, 74,584 remaining SNP were used for analyses. Pools and individual DNA samples were related by means of a "hybrid" genomic relationship matrix. The pooled genotyping analysis of 2 large and independent commercial populations of tropical beef cattle was able to recover significant and plausible associations between SNP and pregnancy test outcome. We discuss 24 SNP with significant association (P < 1.0 x 10-5) and mapped within 40 kb of an annotated gene. We have established a method to estimate the GEBV in young herd bulls for a trait that is currently unable to be predicted at all. In summary, our novel approach allowed us to conduct genomic analyses of fertility in 2 large commercial Brahman herds managed under extensive pastoral conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00218812
Volume :
94
Issue :
10
Database :
Academic Search Index
Journal :
Journal of Animal Science
Publication Type :
Academic Journal
Accession number :
119195188
Full Text :
https://doi.org/10.2527/jas.2016-0675