Genetic parameters for growth characteristics of free-range chickens under univariate random regression models

Repeated measures from the same individual have been analyzed by using repeatability and finite dimension models under univariate or multivariate analyses. However, in the last decade, the use of random regression models for genetic studies with longitudinal data have become more common. Thus, the a...

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Veröffentlicht in:Poultry science 2016-09, Vol.95 (9), p.1989-1998
Hauptverfasser: Rovadoscki, Gregori A., Petrini, Juliana, Ramirez-Diaz, Johanna, Pertile, Simone F. N., Pertille, Fábio, Salvian, Mayara, Iung, Laiza H. S., Rodriguez, Mary Ana P., Zampar, Aline, Gaya, Leila G., Carvalho, Rachel S. B., Coelho, Antonio A. D., Savino, Vicente J. M., Coutinho, Luiz L., Mourão, Gerson B.
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container_end_page 1998
container_issue 9
container_start_page 1989
container_title Poultry science
container_volume 95
creator Rovadoscki, Gregori A.
Petrini, Juliana
Ramirez-Diaz, Johanna
Pertile, Simone F. N.
Pertille, Fábio
Salvian, Mayara
Iung, Laiza H. S.
Rodriguez, Mary Ana P.
Zampar, Aline
Gaya, Leila G.
Carvalho, Rachel S. B.
Coelho, Antonio A. D.
Savino, Vicente J. M.
Coutinho, Luiz L.
Mourão, Gerson B.
description Repeated measures from the same individual have been analyzed by using repeatability and finite dimension models under univariate or multivariate analyses. However, in the last decade, the use of random regression models for genetic studies with longitudinal data have become more common. Thus, the aim of this research was to estimate genetic parameters for body weight of four experimental chicken lines by using univariate random regression models. Body weight data from hatching to 84 days of age (n = 34,730) from four experimental free-range chicken lines (7P, Caipirão da ESALQ, Caipirinha da ESALQ and Carijó Barbado) were used. The analysis model included the fixed effects of contemporary group (gender and rearing system), fixed regression coefficients for age at measurement, and random regression coefficients for permanent environmental effects and additive genetic effects. Heterogeneous variances for residual effects were considered, and one residual variance was assigned for each of six subclasses of age at measurement. Random regression curves were modeled by using Legendre polynomials of the second and third orders, with the best model chosen based on the Akaike Information Criterion, Bayesian Information Criterion, and restricted maximum likelihood. Multivariate analyses under the same animal mixed model were also performed for the validation of the random regression models. The Legendre polynomials of second order were better for describing the growth curves of the lines studied. Moderate to high heritabilities (h2 = 0.15 to 0.98) were estimated for body weight between one and 84 days of age, suggesting that selection for body weight at all ages can be used as a selection criteria. Genetic correlations among body weight records obtained through multivariate analyses ranged from 0.18 to 0.96, 0.12 to 0.89, 0.06 to 0.96, and 0.28 to 0.96 in 7P, Caipirão da ESALQ, Caipirinha da ESALQ, and Carijó Barbado chicken lines, respectively. Results indicate that genetic gain for body weight can be achieved by selection. Also, selection for body weight at 42 days of age can be maintained as a selection criterion.
doi_str_mv 10.3382/ps/pew167
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Multivariate analyses under the same animal mixed model were also performed for the validation of the random regression models. The Legendre polynomials of second order were better for describing the growth curves of the lines studied. Moderate to high heritabilities (h2 = 0.15 to 0.98) were estimated for body weight between one and 84 days of age, suggesting that selection for body weight at all ages can be used as a selection criteria. Genetic correlations among body weight records obtained through multivariate analyses ranged from 0.18 to 0.96, 0.12 to 0.89, 0.06 to 0.96, and 0.28 to 0.96 in 7P, Caipirão da ESALQ, Caipirinha da ESALQ, and Carijó Barbado chicken lines, respectively. Results indicate that genetic gain for body weight can be achieved by selection. 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Random regression curves were modeled by using Legendre polynomials of the second and third orders, with the best model chosen based on the Akaike Information Criterion, Bayesian Information Criterion, and restricted maximum likelihood. Multivariate analyses under the same animal mixed model were also performed for the validation of the random regression models. The Legendre polynomials of second order were better for describing the growth curves of the lines studied. Moderate to high heritabilities (h2 = 0.15 to 0.98) were estimated for body weight between one and 84 days of age, suggesting that selection for body weight at all ages can be used as a selection criteria. Genetic correlations among body weight records obtained through multivariate analyses ranged from 0.18 to 0.96, 0.12 to 0.89, 0.06 to 0.96, and 0.28 to 0.96 in 7P, Caipirão da ESALQ, Caipirinha da ESALQ, and Carijó Barbado chicken lines, respectively. 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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection
subjects Animal Husbandry
Animals
Body Weight - genetics
Chickens - genetics
Chickens - physiology
Female
Male
Models, Genetic
Organic Agriculture
Regression Analysis
title Genetic parameters for growth characteristics of free-range chickens under univariate random regression models
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