British Poultry Science, ( ISI ), Volume (1), No (1), Year (2016-12) , Pages (1-6)

Title : ( Genetic evaluation of weekly body weight in Japanese quail using random regression models )

Authors: keyvan karami , Saeed Zerehdaran , Mojtaba Tahmoorespur , behshad barzanooni , E. Lotfi ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

1. A total of 11 826 records from 2489 quails, hatched between 2012 and 2013, were used to estimate genetic parameters for BW (body weight) of Japanese quail using random regression models. Weekly BW was measured from hatch until 49 d of age. WOMBAT software (University of New England, Australia) was used for estimating genetic and phenotypic parameters. 2. Nineteen models were evaluated to identify the best orders of Legendre polynomials. A model with Legendre polynomial of order 3 for additive genetic effect, order 3 for permanent environmental effects and order 1 for maternal permanent environmental effects was chosen as the best model. 3. According to the best model, phenotypic and genetic variances were higher at the end of the rearing period. Although direct heritability for BW reduced from 0.18 at hatch to 0.12 at 7 d of age, it gradually increased to 0.42 at 49 d of age. It indicates that BW at older ages is more controlled by genetic components in Japanese quail. 4. Phenotypic and genetic correlations between adjacent periods except hatching weight were more closely correlated than remote periods. The present results suggested that BW at earlier ages, especially at hatch, are different traits compared to BW at older ages. Therefore, BW at earlier ages could not be used as a selection criterion for improving BW at slaughter age.

Keywords

, Genetic parameters, random regression, Japanese
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1060076,
author = {Karami, Keyvan and Zerehdaran, Saeed and Tahmoorespur, Mojtaba and Barzanooni, Behshad and E. Lotfi},
title = {Genetic evaluation of weekly body weight in Japanese quail using random regression models},
journal = {British Poultry Science},
year = {2016},
volume = {1},
number = {1},
month = {December},
issn = {0007-1668},
pages = {1--6},
numpages = {5},
keywords = {Genetic parameters; random regression; Japanese quail},
}

[Download]

%0 Journal Article
%T Genetic evaluation of weekly body weight in Japanese quail using random regression models
%A Karami, Keyvan
%A Zerehdaran, Saeed
%A Tahmoorespur, Mojtaba
%A Barzanooni, Behshad
%A E. Lotfi
%J British Poultry Science
%@ 0007-1668
%D 2016

[Download]