Genetic parameters for marbling and body score in Anglonubian goats using Bayesian inference via threshold and linear models
| Autor: | Filho, Luiz Antonio Silva Figueiredo, Sarmento, José Lindenberg Rocha, Campelo, José Elivalto Guimarães, de Oliveira Almeida, Marcos Jacob, de Sousa, Antônio, da Silva Santos, Natanael Pereira, da Silva Costa, Márcio, Torres, Tatiana Saraiva, Sena, Luciano Silva |
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| Rok vydání: | 2018 |
| Předmět: |
Carcass
lcsh:Animal biochemistry Bayesian inference Article Heritability symbols.namesake Statistics Gibbs Sampling Genetic variability lcsh:QP501-801 Categorical variable Selection (genetic algorithm) lcsh:SF1-1100 Mathematics Components of (co) Variance 0402 animal and dairy science Linear model 04 agricultural and veterinary sciences Animal Breeding and Genetics 040201 dairy & animal science 040103 agronomy & agriculture symbols Bayesian Inference 0401 agriculture forestry and fisheries Animal Science and Zoology lcsh:Animal culture Threshold model Food Science Gibbs sampling |
| Zdroj: | Asian-Australasian Journal of Animal Sciences, Vol 31, Iss 9, Pp 1407-1414 (2018) Asian-Australasian Journal of Animal Sciences |
| ISSN: | 1976-5517 1011-2367 |
| DOI: | 10.5713/ajas.17.0490 |
| Popis: | Objective The aim of this study was to estimate (co) variance components and genetic parameters for categorical carcass traits using Bayesian inference via mixed linear and threshold animal models in Anglonubian goats. Methods Data were obtained from Anglonubian goats reared in the Brazilian Mid-North region. The traits in study were body condition score, marbling in the rib eye, ribeye area, fat thickness of the sternum, hip height, leg perimeter, and body weight. The numerator relationship matrix contained information from 793 animals. The single- and two-trait analyses were performed to estimate (co) variance components and genetic parameters via linear and threshold animal models. For estimation of genetic parameters, chains with 2 and 4 million cycles were tested. An 1,000,000-cycle initial burn-in was considered with values taken every 250 cycles, in a total of 4,000 samples. Convergence was monitored by Geweke criteria and Monte Carlo error chain. Results Threshold model best fits categorical data since it is more efficient to detect genetic variability. In two-trait analysis the contribution of the increase in information and the correlations between traits contributed to increase the estimated values for (co) variance components and heritability, in comparison to single-trait analysis. Heritability estimates for the study traits were from low to moderate magnitude. Conclusion Direct selection of the continuous distribution of traits such as thickness sternal fat and hip height allows obtaining the indirect selection for marbling of ribeye. |
| Databáze: | OpenAIRE |
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