Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimension

<p><strong>Abstract: </strong>We used 138,976 records of information of body weights ranging from 60 to 610 days of age, from 27,327 Nelore cattle of herds in the state of Mato Grosso. The random regression model with the covariance function of fourth order to describe the variabil...

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Main Authors: D. A. Palharim D. A. Palharim, C. V. Araujo, T. C. B. S. C. Bittencour, S. I. Araujo, L. A. F. Bezerra
Format: Article
Language:English
Published: Universidade Federal de Rondonópolis 2013-07-01
Series:Scientific Electronic Archives
Subjects:
Online Access:http://www.seasinop.com.br/revista/index.php/SEA/article/view/43
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author D. A. Palharim D. A. Palharim
C. V. Araujo
T. C. B. S. C. Bittencour
S. I. Araujo
L. A. F. Bezerra
author_facet D. A. Palharim D. A. Palharim
C. V. Araujo
T. C. B. S. C. Bittencour
S. I. Araujo
L. A. F. Bezerra
author_sort D. A. Palharim D. A. Palharim
collection DOAJ
description <p><strong>Abstract: </strong>We used 138,976 records of information of body weights ranging from 60 to 610 days of age, from 27,327 Nelore cattle of herds in the state of Mato Grosso. The random regression model with the covariance function of fourth order to describe the variability of the effects of additive genetic, animal and maternal permanent environment and maternal genetic effect and maternal, showed heritability estimates from 0.209 to 0.423 at the beginning by the end of the trajectory, respectively. There is enough genetic variability to promote genetic gain satisfactory performance for weight after weaning period the animals.</p><p><strong> </strong></p><p><strong>Keywords</strong>: beef cattle, genetic parameters, selection.</p>
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spelling doaj.art-ff910f221fa540229a117eb211ef420c2022-12-22T02:42:22ZengUniversidade Federal de RondonópolisScientific Electronic Archives2316-92812013-07-0132596237Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimensionD. A. Palharim D. A. PalharimC. V. AraujoT. C. B. S. C. BittencourS. I. AraujoL. A. F. Bezerra<p><strong>Abstract: </strong>We used 138,976 records of information of body weights ranging from 60 to 610 days of age, from 27,327 Nelore cattle of herds in the state of Mato Grosso. The random regression model with the covariance function of fourth order to describe the variability of the effects of additive genetic, animal and maternal permanent environment and maternal genetic effect and maternal, showed heritability estimates from 0.209 to 0.423 at the beginning by the end of the trajectory, respectively. There is enough genetic variability to promote genetic gain satisfactory performance for weight after weaning period the animals.</p><p><strong> </strong></p><p><strong>Keywords</strong>: beef cattle, genetic parameters, selection.</p>http://www.seasinop.com.br/revista/index.php/SEA/article/view/43beef cattlegenetic parametersselection
spellingShingle D. A. Palharim D. A. Palharim
C. V. Araujo
T. C. B. S. C. Bittencour
S. I. Araujo
L. A. F. Bezerra
Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimension
Scientific Electronic Archives
beef cattle
genetic parameters
selection
title Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimension
title_full Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimension
title_fullStr Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimension
title_full_unstemmed Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimension
title_short Heritability estimates for weight gain in Nellore in Mato Grosso state, using model of infinite dimension
title_sort heritability estimates for weight gain in nellore in mato grosso state using model of infinite dimension
topic beef cattle
genetic parameters
selection
url http://www.seasinop.com.br/revista/index.php/SEA/article/view/43
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