Genomic selection for producer-recorded health event data in US dairy cattle
- 1 May 2014
- journal article
- research article
- Published by American Dairy Science Association in Journal of Dairy Science
- Vol. 97 (5), 3190-3199
- https://doi.org/10.3168/jds.2013-7543
Abstract
Emphasizing increased profit through increased dairy cow production has revealed a negative relationship of production with fitness and health traits. Decreased cow health can affect herd profitability through increased rates of involuntary culling and decreased or lost milk sales. The development of genomic selection methodologies, with accompanying substantial gains in reliability for low-heritability traits, may dramatically improve the feasibility of genetic improvement of dairy cow health. Producer-recorded health information may provide a wealth of information for improvement of dairy cow health, thus improving profitability. The principal objective of this study was to use health data collected from on-farm computer systems in the United States to estimate variance components and heritability for health traits commonly experienced by dairy cows. A single-step analysis was conducted to estimate genomic variance components and heritabilities for health events, including cystic ovaries, displaced abomasum, ketosis, lameness, mastitis, metritis, and retained placenta. A blended H matrix was constructed for a threshold model with fixed effects of parity and year-season and random effects of herd-year and sire. The single-step genomic analysis produced heritability estimates that ranged from 0.02 (standard deviation = 0.005) for lameness to 0.36 (standard deviation = 0.08) for retained placenta. Significant genetic correlations were found between lameness and cystic ovaries, displaced abomasum and ketosis, displaced abomasum and metritis, and retained placenta and metritis. Sire reliabilities increased, on average, approximately 30% with the incorporation of genomic data. From the results of these analyses; it was concluded that genetic selection for health traits using producer-recorded data are feasible in the United States, and that the inclusion of genomic data substantially improves reliabilities for these traits.Keywords
This publication has 45 references indexed in Scilit:
- Reliabilities of genomic prediction using combined reference data of the Nordic Red dairy cattle populationsJournal of Dairy Science, 2011
- Efficient computation of the genomic relationship matrix and other matrices used in single‐step evaluationJournal of Animal Breeding and Genetics, 2011
- The cost of different types of lameness in dairy cows calculated by dynamic programmingPreventive Veterinary Medicine, 2010
- Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final scoreJournal of Dairy Science, 2010
- Genomic prediction when some animals are not genotypedGenetics Selection Evolution, 2010
- The Cost of Generic Clinical Mastitis in Dairy Cows as Estimated by Using Dynamic ProgrammingJournal of Dairy Science, 2008
- Genetic Basis and Risk Factors for Infectious and Noninfectious Diseases in US Holsteins. I. Estimation of Genetic Parameters for Single Diseases and General HealthJournal of Dairy Science, 2005
- Genetic Parameters for Clinical Mastitis, Somatic Cell Score, and Production in the First Three Lactations of Swedish Holstein CowsJournal of Dairy Science, 2004
- Path Analysis of Dry Period Nutrition, Postpartum Metabolic and Reproductive Disorders, and Mastitis in Holstein CowsJournal of Dairy Science, 1985
- Genetic Aspects of Beef Production among Holstein-Friesians Pedigree Selected for Milk Production1Journal of Animal Science, 1973