Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models.
The objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random effects. Residual variances were modeled by using a fifth-order variance function. The mean population growth curve was fitted by sixth-order Legendre orthogonal polynomials. Direct additive genetic effects and animal environmental permanent effect were modeled by using Legendre polynomials of order two to nine. The best results were obtained by models with orders of fit of 6 for direct additive genetic effect and of order 3 for permanent effect by Akaike information criterion and of order 3 for both additive genetic effect and permanent effect by Schwarz Bayesian information criterion and likelihood ratio test. Heritability estimates ranged from 0.02 to 0.57. The first eigenvalue explained 94% and 90% of the variation from additive direct and permant environmental effects, respectively. Selection of tinamou for body weight is more effective after 112 days of age.
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Format: | Artigo de periódico biblioteca |
Language: | Ingles English |
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2011-12-07
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Subjects: | Legendre polynomials, Tinamou, Wild bird, genetic correlation, heritability, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/908926 https://doi.org/10.1590/S1516-35982011000400011 |
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dig-alice-doc-9089262022-07-28T10:19:31Z Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. THOLON, P. QUEIROZ, S. A. PATRICIA THOLON, CPPSE; SANDRA AIDAR QUEIROZ, UNESP/JABOTICABAL. Legendre polynomials Tinamou Wild bird genetic correlation heritability The objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random effects. Residual variances were modeled by using a fifth-order variance function. The mean population growth curve was fitted by sixth-order Legendre orthogonal polynomials. Direct additive genetic effects and animal environmental permanent effect were modeled by using Legendre polynomials of order two to nine. The best results were obtained by models with orders of fit of 6 for direct additive genetic effect and of order 3 for permanent effect by Akaike information criterion and of order 3 for both additive genetic effect and permanent effect by Schwarz Bayesian information criterion and likelihood ratio test. Heritability estimates ranged from 0.02 to 0.57. The first eigenvalue explained 94% and 90% of the variation from additive direct and permant environmental effects, respectively. Selection of tinamou for body weight is more effective after 112 days of age. 2022-07-28T10:19:22Z 2022-07-28T10:19:22Z 2011-12-07 2011 Artigo de periódico Revista Brasileira de Zootecnia, v. 40, n. 4, p. 781-787, apr. 2011. http://www.alice.cnptia.embrapa.br/alice/handle/doc/908926 https://doi.org/10.1590/S1516-35982011000400011 Ingles en openAccess |
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Legendre polynomials Tinamou Wild bird genetic correlation heritability Legendre polynomials Tinamou Wild bird genetic correlation heritability |
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Legendre polynomials Tinamou Wild bird genetic correlation heritability Legendre polynomials Tinamou Wild bird genetic correlation heritability THOLON, P. QUEIROZ, S. A. Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. |
description |
The objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random effects. Residual variances were modeled by using a fifth-order variance function. The mean population growth curve was fitted by sixth-order Legendre orthogonal polynomials. Direct additive genetic effects and animal environmental permanent effect were modeled by using Legendre polynomials of order two to nine. The best results were obtained by models with orders of fit of 6 for direct additive genetic effect and of order 3 for permanent effect by Akaike information criterion and of order 3 for both additive genetic effect and permanent effect by Schwarz Bayesian information criterion and likelihood ratio test. Heritability estimates ranged from 0.02 to 0.57. The first eigenvalue explained 94% and 90% of the variation from additive direct and permant environmental effects, respectively. Selection of tinamou for body weight is more effective after 112 days of age. |
author2 |
PATRICIA THOLON, CPPSE; SANDRA AIDAR QUEIROZ, UNESP/JABOTICABAL. |
author_facet |
PATRICIA THOLON, CPPSE; SANDRA AIDAR QUEIROZ, UNESP/JABOTICABAL. THOLON, P. QUEIROZ, S. A. |
format |
Artigo de periódico |
topic_facet |
Legendre polynomials Tinamou Wild bird genetic correlation heritability |
author |
THOLON, P. QUEIROZ, S. A. |
author_sort |
THOLON, P. |
title |
Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. |
title_short |
Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. |
title_full |
Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. |
title_fullStr |
Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. |
title_full_unstemmed |
Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. |
title_sort |
estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models. |
publishDate |
2011-12-07 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/908926 https://doi.org/10.1590/S1516-35982011000400011 |
work_keys_str_mv |
AT tholonp estimationofcovariancecomponentsandgeneticparametersforweightsofredwingedtinamouusingrandomregressionmodels AT queirozsa estimationofcovariancecomponentsandgeneticparametersforweightsofredwingedtinamouusingrandomregressionmodels |
_version_ |
1756028466430476288 |