Estimation of variance components for female longevity in Australian Angus cattle using random regression models

Title
Estimation of variance components for female longevity in Australian Angus cattle using random regression models
Publication Date
2022
Author(s)
Aliloo, H
( author )
OrcID: https://orcid.org/0000-0002-5587-6929
Email: haliloo@une.edu.au
UNE Id une-id:haliloo
Clark, S
( author )
OrcID: https://orcid.org/0000-0001-8605-1738
Email: sclark37@une.edu.au
UNE Id une-id:sclark37
Editor
Editor(s): R F Veerkamp and Y de Haas
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Wageningen Academic
Place of publication
Wageningen, The Netherlands
DOI
10.3920/978-90-8686-940-4_642
UNE publication id
une:1959.11/55417
Abstract
Cow longevity is an economically important trait for beef cattle breeding. In this study, random regression models were used to estimate genetic parameters for female longevity in Australian Angus cattle. Longevity was defined using 10 binary records (0 for ‘not in the breeding herd’ and 1 for ‘active in the breeding herd’) between age 2 to 11. A Bayesian random regression model was fitted separately to 5 different groups of disposal reasons supplied by breeders. The heritability estimates were generally low with peaks ranging from 0.03 to 0.12. The highest and lowest heritability estimates were obtained for performance and fertility datasets, respectively. Genetic correlations were high between ages 3 to 5 and age 6 for all groups except for the structural problems group in which age 3 showed a low genetic correlation. This illustrates that selection for longevity could be undertaken early in cow’s life.
Link
Citation
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), p. 2652-2655
ISBN
9789086869404
Start page
2652
End page
2655
Rights
Attribution 4.0 International

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