| Registro completo |
| Provedor de dados: |
Ciência Rural
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| País: |
Brazil
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| Título: |
Genotypic parameters for egg production in pure breed hens by using random regression model
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| Autores: |
Ferreira,Priscila Becker
Rorato,Paulo Roberto Nogara
Breda,Fernanda Cristina
Michelotti,Vanessa Tomazetti
Rosa,Alexandre Pires
Macedo,André
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| Data: |
2017-01-01
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| Ano: |
2017
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| Palavras-chave: |
Barred Plymouth Rock
Heritability
Laying rate
White Plymouth Rock
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| Resumo: |
ABSTRACT: This study aimed to test different genotypic and residual covariance matrix structures in random regression models to model the egg production of Barred Plymouth Rock and White Plymouth Rock hens aged between 5 and 12 months. In addition, we estimated broad-sense heritability, and environmental and genotypic correlations. Six random regression models were evaluated, and for each model, 12 genotypic and residual matrix structures were tested. The random regression model with linear intercept and unstructured covariance (UN) for a matrix of random effects and unstructured correlation (UNR) for residual matrix adequately model the egg production curve of hens of the two study breeds. Genotypic correlations ranged from 0.15 (between age of 5 and 12 months) to 0.99 (between age of 10 and 11 months) and increased based on the time elapsed. Egg production heritability between 5- and 12-month-old hens increased with age, varying from 0.15 to 0.51. From the age of 9 months onward, heritability was moderate with estimates of genotypic correlations higher than 90% at the age of 10, 11, and 12 months. Results suggested that selection of hens to improve egg production should commence at the ninth month of age.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000500652
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| Editor: |
Universidade Federal de Santa Maria
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| Relação: |
10.1590/0103-8478cr20141631
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| Formato: |
text/html
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| Fonte: |
Ciência Rural v.47 n.5 2017
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| Direitos: |
info:eu-repo/semantics/openAccess
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