Genetic evaluation of weekly body weight in Japanese quail using random regression models

被引:11
作者
Karami, K. [1 ]
Zerehdaran, S. [1 ]
Tahmoorespur, M. [1 ]
Barzanooni, B. [1 ]
Lotfi, E. [2 ]
机构
[1] Ferdowsi Univ Mashhad, Dept Anim Sci, Mashhad, Iran
[2] Gorgan Univ Agr Sci & Nat Resources, Dept Anim Sci, Gorgan, Iran
关键词
Genetic parameters; random regression; Japanese quail; COTURNIX-COTURNIX-JAPONICA; MONTHLY EGG-PRODUCTION; LAYING HENS; MILK-YIELD; CARCASS COMPOSITION; PARAMETERS; SELECTION; TRAITS; GROWTH; COWS;
D O I
10.1080/00071668.2016.1236362
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
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.
引用
收藏
页码:13 / 18
页数:6
相关论文
共 47 条
[1]   ESTIMATION OF GENETIC-PARAMETERS FOR BODY-WEIGHT TRAITS IN SQUAB PIGEONS [J].
AGGREY, SE ;
CHENG, KM .
GENETICS SELECTION EVOLUTION, 1992, 24 (06) :553-559
[2]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[3]  
Akbas Y, 2004, S AFR J ANIM SCI, V34, P104
[4]   Estimation of Genetic Parameters for Body Weight of Japanese Quails (Coturnix coturnix japonica) Using Random Regression Model [J].
Alkan, Sezai ;
Karsli, Taki ;
Galic, Askin ;
Karabag, Kemal ;
Balcioglu, Murat Soner .
KAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISI, 2012, 18 (06) :935-939
[5]   Monthly model for genetic evaluation of laying hens -: II.: Random regression [J].
Anang, A ;
Mielenz, N ;
Schüler, L .
BRITISH POULTRY SCIENCE, 2002, 43 (03) :384-390
[6]   Monthly model for genetic evaluation of laying hens -: 1.: Fixed regression [J].
Anang, A ;
Mielenz, N ;
Schüler, L .
BRITISH POULTRY SCIENCE, 2001, 42 (02) :191-196
[7]  
[Anonymous], 2014, BEHAV GENET, DOI DOI 10.1007/s10519-014-9673-7
[8]   Genetic parameters for body weight in meat quail [J].
Barbieri, A. ;
Ono, R. K. ;
Cursino, L. L. ;
Farah, M. M. ;
Pires, M. P. ;
Bertipaglia, T. S. ;
Pires, A. V. ;
Cavani, L. ;
Carreno, L. O. D. ;
Fonseca, R. .
POULTRY SCIENCE, 2015, 94 (02) :169-171
[9]   Random regression models to estimate test-day milk yield genetic parameters Holstein cows in Southeastern Brazil [J].
Bignardi, Annaiza Braga ;
El Faro, Lenira ;
Cardoso, Vera Lucia ;
Machado, Paulo Fernando ;
de Albuquerque, Lucia Galvao .
LIVESTOCK SCIENCE, 2009, 123 (01) :1-7
[10]   Genetic modelling of daily milk yield using orthogonal polynomials and parametric curves [J].
Brotherstone, S ;
White, IMS ;
Meyer, K .
ANIMAL SCIENCE, 2000, 70 :407-415