Abstract:The present study in Japanese quail was aimed to develop multi-trait genetic selection program for a meat type sire line utilizing the mixed-model methodology. In total, 2000 pedigreed quail were formed the basis of the research where a multi-trait animal model was performed. A flock consisting of a total of 160 families (1 male: 3 female) was developed from the initial flock (base population of sire line), so as to obtain a selection flock sire line. Body weight at 5 weeks of age was chosen as a primary selec… Show more
“…Statistical analyses: The descriptive statistics, normality (Kolmogorov-Smirnov) and homogeneity (Levene) tests of the traits were performed by using UNIVARIATE procedure of SAS 9.3 software (Statistical Analysis Systems Institute Inc., Cary, NC). The nonparametric rank transformation was applied in R package for color parameters and shape index which parametric Box-Cox transformation did not Gaussian distributed traits (6,19).…”
Section: Animalsmentioning
confidence: 99%
“…All genetic parameter estimations, breeding value estimations and molecular genetic methods are performed at this stage. This provides the highest homozigotization in terms of additive gene effects with all the processes (19,25). Almost all current studies have been related to this stage.…”
This study was conducted to determine the genetic correlation and heritability for age at sexual maturity, body weight at sexual maturity, egg yield, egg weight, egg shape index and L*, a*, b* values of egg shell in a Barred Rock line was applied selection. For this aim, a total of 1622 pedigreed Barred Rocks were selected. The present estimated heritability values for investigated traits were found between moderate-to-high. However, the heritability of egg yield, eggshell color and body weight at sexual maturity were found lower than those of other traits. It was calculated positive correlations among monthly egg yields, especially between egg yield at the second month with total egg yield. As a conclusion, selection studies did not cause much decrease in genetic variation of studied traits, except for egg yield and body weight at sexual maturity. Monthly egg yield data can be used selection studies.
“…Statistical analyses: The descriptive statistics, normality (Kolmogorov-Smirnov) and homogeneity (Levene) tests of the traits were performed by using UNIVARIATE procedure of SAS 9.3 software (Statistical Analysis Systems Institute Inc., Cary, NC). The nonparametric rank transformation was applied in R package for color parameters and shape index which parametric Box-Cox transformation did not Gaussian distributed traits (6,19).…”
Section: Animalsmentioning
confidence: 99%
“…All genetic parameter estimations, breeding value estimations and molecular genetic methods are performed at this stage. This provides the highest homozigotization in terms of additive gene effects with all the processes (19,25). Almost all current studies have been related to this stage.…”
This study was conducted to determine the genetic correlation and heritability for age at sexual maturity, body weight at sexual maturity, egg yield, egg weight, egg shape index and L*, a*, b* values of egg shell in a Barred Rock line was applied selection. For this aim, a total of 1622 pedigreed Barred Rocks were selected. The present estimated heritability values for investigated traits were found between moderate-to-high. However, the heritability of egg yield, eggshell color and body weight at sexual maturity were found lower than those of other traits. It was calculated positive correlations among monthly egg yields, especially between egg yield at the second month with total egg yield. As a conclusion, selection studies did not cause much decrease in genetic variation of studied traits, except for egg yield and body weight at sexual maturity. Monthly egg yield data can be used selection studies.
“…Selection is a basic tool to exploit and improve the productive potential of birds. Different selection strategies have been working throughout the world comprising mass selection to fully pedigree selection (Marks, 1991(Marks, , 1996Minvielle et al, 1997;Narinç et al, 2016;Durmuş et al, 2017). Selection programs remarkably improve economic traits in broilers with2.4-fold improvements in growth rate and carcass traits; however, feed conversion ratio has improved only 0.025% per year.…”
“…In addition, the selection for BW responds quickly and has a correlated response specially with carcass traits (Khaldari et al, 2010;Karaman et al, 2013;Mota et al, 2015b;Firat et al, 2016;Narinç et al, 2016). It is noteworthy to mention that the response to selection may be different when evaluating male or female quail (Alkan et al, 2009).…”
The objective was to estimate (co)variance functions using random regression models (RRM) with Legendre polynomials, B-spline function and multi-trait models aimed at evaluating genetic parameters of growth traits in meat-type quail. A database containing the complete pedigree information of 7000 meat-type quail was utilized. The models included the fixed effects of contemporary group and generation. Direct additive genetic and permanent environmental effects, considered as random, were modeled using B-spline functions considering quadratic and cubic polynomials for each individual segment, and Legendre polynomials for age. Residual variances were grouped in four age classes. Direct additive genetic and permanent environmental effects were modeled using 2 to 4 segments and were modeled by Legendre polynomial with orders of fit ranging from 2 to 4. The model with quadratic B-spline adjustment, using four segments for direct additive genetic and permanent environmental effects, was the most appropriate and parsimonious to describe the covariance structure of the data. The RRM using Legendre polynomials presented an underestimation of the residual variance. Lesser heritability estimates were observed for multi-trait models in comparison with RRM for the evaluated ages. In general, the genetic correlations between measures of BW from hatching to 35 days of age decreased as the range between the evaluated ages increased. Genetic trend for BW was positive and significant along the selection generations. The genetic response to selection for BW in the evaluated ages presented greater values for RRM compared with multi-trait models. In summary, RRM using B-spline functions with four residual variance classes and segments were the best fit for genetic evaluation of growth traits in meat-type quail. In conclusion, RRM should be considered in genetic evaluation of breeding programs.
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