Genetic parameters for quail body weights using a random regression model

Akbaş, Yavuz; Takma, Çiğdem; Yaylak, Erdal

doi:10.4314/sajas.v34i2.3813

Cited by 30 publications

(14 citation statements)

References 6 publications

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“…An increase in heritabilities during late stages of animal development was also reported by Dionelo et al (2008) who studied Japanese quail until 42 weeks of age, and by Akbaş et al (2004) for quail until 6 weeks of age. These authors considered residual variances to be homogeneous.…”

Section: Resultssupporting

confidence: 74%

Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models

Tholon

Queiroz

2011

R. Bras. Zootec.

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-The objective of this work was to determine genetic parameters for body weight of tinamou in captivity.It was used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random effects. Residual variances were modeled by using a fifth-order variance function. The mean population growth curve was fitted by sixth-order Legendre orthogonal polynomials. Direct additive genetic effects and animal environmental permanent effect were modeled by using Legendre polynomials of order two to nine. The best results were obtained by models with orders of fit of 6 for direct additive genetic effect and of order 3 for permanent effect by Akaike information criterion and of order 3 for both additive genetic effect and permanent effect by Schwarz Bayesian information criterion and likelihood ratio test. Heritability estimates ranged from 0.02 to 0.57. The first eigenvalue explained 94% and 90% of the variation from additive direct and permant environmental effects, respectively.Selection of tinamou for body weight is more effective after 112 days of age.

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Section: Resultssupporting

confidence: 74%

Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models

Tholon

Queiroz

2011

R. Bras. Zootec.

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“…An additional source of body weight variation in advanced ages (e.g., 35 days) is the physiological difference between animals as sexual maturity for female and competitive behaviour for male. The increment of body weight variances over ages has already been reported in meat-type quail by Akbas et al (2004) and Gonçalves et al (2012). The increase of the genetic variance over PL suggests the presence of G×E for BW 28 in UFV1 line and BW 35 in both lines.…”

Section: Discussionsupporting

confidence: 56%

Genotype and protein level interaction in growth traits of meat-type quail through reaction norm models

Caetano¹,

Silva²,

Calderano³

et al. 2017

J. Anim. Feed Sci.

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“…Similar issues have been reported when other traits are studied (test-day milk yield) using the RR (El Faro et al, 2008). In other species, RR has been used to estimate the genetic parameters of growth and egg production in quail (Akbas et al, 2004;DioneIlo et al, 2006), laying hens (Anang et al, 2002) and broiler chicken (Banos et al, 2006;Wolc et al, 2009). Kranis et al (2007) fitted RR for egg production in turkeys and illustrated that the use of RR for genetic analysis offered greater accuracy for prediction.…”

Section: Correlationsmentioning

confidence: 55%

Estimates of the genetic parameters of turkey body weight using random regression analysis

Rafat

Namavar

Shodja

et al. 2011

Animal

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Random regression (RR) analysis has been recommended to estimate the genetic parameters of longitudinal data. The objective of this study was to evaluate the growth of turkeys using RR models. Data were collected from 957 turkeys and included 15 478 individual body weight recorded during the first week of life and between weeks 2 and 32 by 2-week intervals. To take into account the repeated measurements of weight for each animal, a specific overall growth curve was modelled using a cubic smoothing spline. Animal deviation to this curve was also modelled using an RR function. All data were analysed with the ASReml package. The results showed an increase in heritability estimates over the trajectory and peaked at 0.60 around 20 to 32 weeks of age. Genetic correlations showed that turkeys could be selected at earlier time points, at 12 weeks of age, in order to increase the growth rate. In general, genetic correlation estimates were higher among adjacent ages, decreasing markedly with the increase of distance between ages. Negative genetic correlations were observed between ages.

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Genetic parameters for quail body weights using a random regression model

Cited by 30 publications

References 6 publications

Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models

Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models

Genotype and protein level interaction in growth traits of meat-type quail through reaction norm models

Estimates of the genetic parameters of turkey body weight using random regression analysis

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