Genetic Prediction for Calving Ease in the United States: Data, Models, and Use by the Dairy Industry
Open Access
- 1 April 1994
- journal article
- Published by American Dairy Science Association in Journal of Dairy Science
- Vol. 77 (4) , 1146-1153
- https://doi.org/10.3168/jds.s0022-0302(94)77051-x
Abstract
Dystocia of Holsteins has a major economic impact on the dairy cattle industry. Genetic evaluation of AI sires for calving ease is sponsored by the National Association of Animal Breeders. The AI organizations and dairy records processing centers collect data from herds that have progeny of AI bulls. Genetic predictions of merit for calving ease have been available for Holstein AI bulls in the US since 1978. A threshold model was implemented during 1988. The threshold model adjusts for the effects of herd-year, season, sex of calf, parity, and birth-year group of sire to predict the genetic merit of each sire for calving ease. Pedigree information from sires, sons, and grandsons is also included in the analysis to improve the reliability of genetic predictions for bulls that have pedigree data available. Each sire's genetic prediction for calving ease is reported as the expected percentage of difficult births of primiparous cows. National in scope, genetic predictions for calving ease are used internationally by breeders of dairy cattle to minimize the risk of difficult births of primiparous cows and to increase the use of AI for young cows.Keywords
This publication has 10 references indexed in Scilit:
- Reliability of Sire Evaluations for Calving Ease by a Threshold Model AnalysisJournal of Dairy Science, 1991
- Threshold Model Analysis of Dystocia in Dairy Cattle When Progeny Information is LimitedJournal of Dairy Science, 1989
- Computing Aspects of a Nonlinear Method of Sire Evaluation for Categorical DataJournal of Dairy Science, 1989
- Ordered Categorical Sire Evaluation for Dystocia in HolsteinsJournal of Dairy Science, 1987
- Reporting of Dystocia Scores and Effects of Dystocia on Production, Days Open, and Days Dry from Dairy Herd Improvement DataJournal of Dairy Science, 1987
- A Mixed-Model Procedure for Analyzing Ordered Categorical DataPublished by JSTOR ,1984
- Interrelationships of Parturition Problems, Production of Subsequent Lactation, Reproduction, and Age at First CalvingJournal of Dairy Science, 1983
- Prediction of Sire Merit for Calving DifficultyJournal of Dairy Science, 1978
- Parameter Estimation and Sire Evaluation for Dystocia and Calf Size in HolsteinsJournal of Dairy Science, 1976
- Inverse of a Matrix of Relationships Due to Sires and Maternal GrandsiresJournal of Dairy Science, 1975