Prediction of genetic growth curves in pigs

Genetic growth curves of boars in a test station were predicted on daily weight records collected by automated weighing scales. The data contained 121 865 observations from 1477 Norwegian Landrace boars and 108 589 observations from 1300 Norwegian Duroc boars. Random regression models using Legendre...

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Main Authors: M. Haraldsen, J. Ødegård, D. Olsen, O. Vangen, I.M.A. Ranberg, T.H.E. Meuwissen
Format: Article
Language:English
Published: Elsevier 2009-01-01
Series:Animal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1751731108003807
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author M. Haraldsen
J. Ødegård
D. Olsen
O. Vangen
I.M.A. Ranberg
T.H.E. Meuwissen
author_facet M. Haraldsen
J. Ødegård
D. Olsen
O. Vangen
I.M.A. Ranberg
T.H.E. Meuwissen
author_sort M. Haraldsen
collection DOAJ
description Genetic growth curves of boars in a test station were predicted on daily weight records collected by automated weighing scales. The data contained 121 865 observations from 1477 Norwegian Landrace boars and 108 589 observations from 1300 Norwegian Duroc boars. Random regression models using Legendre polynomials up to second order for weight at different ages were compared for best predicting ability and Bayesian information criterion (BIC) for both breeds. The model with second-order polynomials had best predictive ability and BIC. The heritability for weight, based on this model, was found to vary along the growth trajectory between 0.32–0.35 for Duroc and 0.17–0.25 for Landrace. By varying test length possibility to use shorter test time and pre-selection was tested. Test length was varied and compared with average termination at 100 kg, termination of the test at 90 kg gives, e.g. ∼2% reduction in accuracy of estimated breeding values (EBV) for both breeds and termination at 80 kg gives ∼5% reduction in accuracy of EBVs for Landrace and ∼3% for Duroc. A shorter test period can decrease test costs per boar, but also gives possibilities to increase selection intensity as there will be room for testing more boars.
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spelling doaj.art-20a0f30b3f984ceea04ad5341d3737f72022-12-21T19:22:57ZengElsevierAnimal1751-73112009-01-0134475481Prediction of genetic growth curves in pigsM. Haraldsen0J. Ødegård1D. Olsen2O. Vangen3I.M.A. Ranberg4T.H.E. Meuwissen5Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences (UMB), PO Box 5003, NO-1432 Ås, NorwayNOFIMA, PO Box 5010, NO-1432 Ås, Norway; Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences (UMB), PO Box 5003, NO-1432 Ås, NorwayNorsvin, PO Box 504, NO-2304 Hamar, NorwayDepartment of Animal and Aquacultural Sciences, Norwegian University of Life Sciences (UMB), PO Box 5003, NO-1432 Ås, NorwayNorsvin, PO Box 504, NO-2304 Hamar, NorwayDepartment of Animal and Aquacultural Sciences, Norwegian University of Life Sciences (UMB), PO Box 5003, NO-1432 Ås, NorwayGenetic growth curves of boars in a test station were predicted on daily weight records collected by automated weighing scales. The data contained 121 865 observations from 1477 Norwegian Landrace boars and 108 589 observations from 1300 Norwegian Duroc boars. Random regression models using Legendre polynomials up to second order for weight at different ages were compared for best predicting ability and Bayesian information criterion (BIC) for both breeds. The model with second-order polynomials had best predictive ability and BIC. The heritability for weight, based on this model, was found to vary along the growth trajectory between 0.32–0.35 for Duroc and 0.17–0.25 for Landrace. By varying test length possibility to use shorter test time and pre-selection was tested. Test length was varied and compared with average termination at 100 kg, termination of the test at 90 kg gives, e.g. ∼2% reduction in accuracy of estimated breeding values (EBV) for both breeds and termination at 80 kg gives ∼5% reduction in accuracy of EBVs for Landrace and ∼3% for Duroc. A shorter test period can decrease test costs per boar, but also gives possibilities to increase selection intensity as there will be room for testing more boars.http://www.sciencedirect.com/science/article/pii/S1751731108003807genetic growth curveslongitudinal data analysisperformance testingpig breedingrandom regression models
spellingShingle M. Haraldsen
J. Ødegård
D. Olsen
O. Vangen
I.M.A. Ranberg
T.H.E. Meuwissen
Prediction of genetic growth curves in pigs
Animal
genetic growth curves
longitudinal data analysis
performance testing
pig breeding
random regression models
title Prediction of genetic growth curves in pigs
title_full Prediction of genetic growth curves in pigs
title_fullStr Prediction of genetic growth curves in pigs
title_full_unstemmed Prediction of genetic growth curves in pigs
title_short Prediction of genetic growth curves in pigs
title_sort prediction of genetic growth curves in pigs
topic genetic growth curves
longitudinal data analysis
performance testing
pig breeding
random regression models
url http://www.sciencedirect.com/science/article/pii/S1751731108003807
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AT imaranberg predictionofgeneticgrowthcurvesinpigs
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