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Estimation of genetic parameters for young stock survival in beef x dairy crossbred calves
- Source :
- Animal, Vol 14, Iss 3, Pp 445-451 (2020), Davis, R B, Norberg, E & Fogh, A 2020, ' Estimation of genetic parameters for young stock survival in beef x dairy crossbred calves ', Animal, vol. 14, no. 3, 1751731119002386, pp. 445-451 . https://doi.org/10.1017/S1751731119002386
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Young stock survival is a trait of crucial importance in cattle breeding as calf mortality leads to economic losses and represents an animal welfare issue. The aim of this study was to estimate genetic parameters and sire breeding values for young stock survival in beef x dairy crossbred calves. Two traits were analysed with a univariate animal model: young stock survival between 1 to 30 days and 31 to 200 days after birth. Breed combinations with Belgian Blue sires outperformed all other sire breeds. The lowest survival rates were found for breed combinations with Jersey dams or Blonde d'Aquitaine sires. The results showed low but significant heritabilities (0.045 to 0.075) for both survival traits. Differences in breeding values between sires ranged from -2.5% to 3.5% and from -5.4% to 4.7% survival from 1 to 30 days and 31 to 200 days, respectively. Based on these findings, we concluded that it is feasible to breed for improved young stock survival in beef x dairy crossbred calves. This will hopefully contribute to increasing the survival rate of the calves and reduce economic losses for the farmers.
- Subjects :
- calf mortality
040301 veterinary sciences
Breeding
Biology
SF1-1100
Crossbreed
THRESHOLD
0403 veterinary science
Animal science
Pregnancy
Animal welfare
post-natal survival
genetic parameters
Animals
Survival rate
Crosses, Genetic
Estimation
Sire
Parturition
0402 animal and dairy science
veal production
food and beverages
04 agricultural and veterinary sciences
beef x dairy crossbreeding
040201 dairy & animal science
Breed
Animal culture
Belgian Blue
Trait
Cattle
Female
Animal Science and Zoology
Subjects
Details
- ISSN :
- 17517311
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Animal
- Accession number :
- edsair.doi.dedup.....e7a33a522e30b8589d0d8c63d2c7d7b8
- Full Text :
- https://doi.org/10.1017/s1751731119002386