Genetic variability in calving success in Aberdeen Angus cows under extensive recording

Data from 2032 Uruguayan Aberdeen Angus cows under extensive management and recording practices were analysed with Bayesian threshold-liability sire models, to assess genetic variability in calving success (CS), defined as a different binary trait for each of the second (CS2), third (CS3) and fourth...

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Main Authors: J.I. Urioste, Y.M. Chang, H. Naya, D. Gianola
Format: Article
Language:English
Published: Elsevier 2007-01-01
Series:Animal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1751731107000390
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author J.I. Urioste
Y.M. Chang
H. Naya
D. Gianola
author_facet J.I. Urioste
Y.M. Chang
H. Naya
D. Gianola
author_sort J.I. Urioste
collection DOAJ
description Data from 2032 Uruguayan Aberdeen Angus cows under extensive management and recording practices were analysed with Bayesian threshold-liability sire models, to assess genetic variability in calving success (CS), defined as a different binary trait for each of the second (CS2), third (CS3) and fourth (CS4) calving opportunities. Sire (herd) variances ranged from 0.08 to 0.11 (0.10 to 0.20) and heritability from 0.27 to 0.35, with large credibility intervals. Correlations between herd effects on CS at different calving opportunities were positive. Genetic correlation between CS2 and CS4 was positive (0.68), whereas those involving adjacent calving opportunities (CS2–CS3 and CS3–CS4) were negative, at −0.39 and −0.54, respectively. The residual correlation CS2–CS3 was negative (−0.32). The extent of uncertainty associated with the posterior estimates of the parameters was further evaluated through simulation, assuming different true values (−0.4, −0.2, +0.2 and +0.4) for the genetic correlations and changes in the degree of belief parameters of the inverse Wishart priors for the sire covariance matrix. Although inferences were not sharp enough, CS appears to be moderately heritable. The quality of data recording should be improved, in order to effect genetic improvement in female fertility.
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spelling doaj.art-f5e554088c0f42c1be6f8c697ac10a742022-12-21T22:32:46ZengElsevierAnimal1751-73112007-01-011810811088Genetic variability in calving success in Aberdeen Angus cows under extensive recordingJ.I. Urioste0Y.M. Chang1H. Naya2D. Gianola3Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Garzón 780, 12900 Montevideo, UruguayDepartment of Dairy Science, University of Wisconsin-Madison, 1675 Observatory Drive, Madison, WI 53706, USADepartamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Garzón 780, 12900 Montevideo, Uruguay; Unidad de Bioinformática, Institut Pasteur de Montevideo, Mataojo 2020, 11400 Montevideo, UruguayDepartment of Dairy Science, University of Wisconsin-Madison, 1675 Observatory Drive, Madison, WI 53706, USA; Department of Animal Sciences, University of Wisconsin-Madison, 1675 Observatory Drive, Madison, WI 53706, USAData from 2032 Uruguayan Aberdeen Angus cows under extensive management and recording practices were analysed with Bayesian threshold-liability sire models, to assess genetic variability in calving success (CS), defined as a different binary trait for each of the second (CS2), third (CS3) and fourth (CS4) calving opportunities. Sire (herd) variances ranged from 0.08 to 0.11 (0.10 to 0.20) and heritability from 0.27 to 0.35, with large credibility intervals. Correlations between herd effects on CS at different calving opportunities were positive. Genetic correlation between CS2 and CS4 was positive (0.68), whereas those involving adjacent calving opportunities (CS2–CS3 and CS3–CS4) were negative, at −0.39 and −0.54, respectively. The residual correlation CS2–CS3 was negative (−0.32). The extent of uncertainty associated with the posterior estimates of the parameters was further evaluated through simulation, assuming different true values (−0.4, −0.2, +0.2 and +0.4) for the genetic correlations and changes in the degree of belief parameters of the inverse Wishart priors for the sire covariance matrix. Although inferences were not sharp enough, CS appears to be moderately heritable. The quality of data recording should be improved, in order to effect genetic improvement in female fertility.http://www.sciencedirect.com/science/article/pii/S1751731107000390Bayesian theorybeef cowscalving successgenetic parametersthreshold models
spellingShingle J.I. Urioste
Y.M. Chang
H. Naya
D. Gianola
Genetic variability in calving success in Aberdeen Angus cows under extensive recording
Animal
Bayesian theory
beef cows
calving success
genetic parameters
threshold models
title Genetic variability in calving success in Aberdeen Angus cows under extensive recording
title_full Genetic variability in calving success in Aberdeen Angus cows under extensive recording
title_fullStr Genetic variability in calving success in Aberdeen Angus cows under extensive recording
title_full_unstemmed Genetic variability in calving success in Aberdeen Angus cows under extensive recording
title_short Genetic variability in calving success in Aberdeen Angus cows under extensive recording
title_sort genetic variability in calving success in aberdeen angus cows under extensive recording
topic Bayesian theory
beef cows
calving success
genetic parameters
threshold models
url http://www.sciencedirect.com/science/article/pii/S1751731107000390
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AT hnaya geneticvariabilityincalvingsuccessinaberdeenanguscowsunderextensiverecording
AT dgianola geneticvariabilityincalvingsuccessinaberdeenanguscowsunderextensiverecording