Single-Trait Bayesian Analysis of Some Growth Traits in Japanese Quail

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Karaman E., FIRAT M. Z., Narinç D.

BRAZILIAN JOURNAL OF POULTRY SCIENCE, cilt.16, sa.2, ss.51-56, 2014 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 2
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1590/1516-635x160251-56
  • Dergi Adı: BRAZILIAN JOURNAL OF POULTRY SCIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.51-56
  • Anahtar Kelimeler: Absolute growth rate, Bayesian, heritability, quail, relative growth rate, MAXIMUM-LIKELIHOOD-ESTIMATION, COTURNIX-COTURNIX-JAPONICA, GENETIC-PARAMETERS, VARIANCE-COMPONENTS, CURVE PARAMETERS, MODEL, WEIGHTS, UNIVARIATE, SELECTION, EGG
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Akdeniz Üniversitesi Adresli: Evet

Özet

The aim of this study was to estimate the heritability for some growth traits of Japanese quail through the estimation of variance components by Bayesian methodology. For this purpose, 340 progenies of 34 sires were used. Live weight (LW42) and absolute and relative growth rates at 42 days of age (AGR42 and RGR42, respectively) were submitted to single-trait analysis under a sire model. A software (package MCMCglmm) was used for the estimations, and a single chain with 65,000 rounds was run for each trait with a thinning interval of 50. Burn-in was set at 15,000 and inferences were built on posterior samples of 1,000 draws for each trait. All marginal posterior densities were unimodal and marginal posterior distributions of sire variance are slightly skewed to the right. The results of the analyses showed high, moderate, and low heritability of LW42, AGR42, and RGR42, respectively.

The aim of this study was to estimate the heritability for some

growth traits of Japanese quail through the estimation of variance

components by Bayesian methodology. For this purpose, 340 progenies

of 34 sires were used. Live weight (LW42) and absolute and relative

growth rates at 42 days of age (AGR42 and RGR42, respectively)

were submitted to single-trait analysis under a sire model. A software

(package MCMCglmm) was used for the estimations, and a single chain

with 65,000 rounds was run for each trait with a thinning interval of

50. Burn-in was set at 15,000 and inferences were built on posterior

samples of 1,000 draws for each trait. All marginal posterior densities

were unimodal and marginal posterior distributions of sire variance

are slightly skewed to the right. The results of the analyses showed

high, moderate, and low heritability of LW42, AGR42, and RGR42,

respectively.