Genetic parameters of performance traits in Sul-Mato-Grossenses naturalized sheep
PDF (Português (Brasil))

Keywords

Body weight
Correlation
Heritability
Local breeds.

How to Cite

Oliveira, D. P. de, Oliveira, C. A. L. de, Martins, E. N., Vargas Junior, F. M., Seno, L. O., Pinto, G. dos S., … Barbosa-Ferreira, M. (2014). Genetic parameters of performance traits in Sul-Mato-Grossenses naturalized sheep. Semina: Ciências Agrárias, 35(2), 963–972. https://doi.org/10.5433/1679-0359.2014v35n2p963

Abstract

Estimates of genetic parameters are important to study characteristics that are to be included in a breeding program of a genetic group. The information of 594 weights from 211 lambs of a genetic group of naturalized Sul-mato-grossenses sheep belonging to Manoel de Barros Foundation and breeding at Centro Tecnologico de Ovinos from Anhanguera-Uniderp University was used. The estimation of variance components in unicaracter and bicaracter analysis were carried out through Bayesian inference. Estimates of heritability ranged from unicaracter analyses (0.22 to 0.47) and the bicaracter analyses (0.13 to 0.78). The maternal environmental permanent effect was higher in birth weight and average daily gain from birth to 50 days in 24.2% and 19.5%, respectively, in the observed variation. Estimates of heritability, maternal environmental permanent effect participation, phenotypic and genetic correlations indicate that selection for average daily gain from birth to 90 days would imply increases in weight at 50 days, weight at 90 days and average daily gain from 50 to 90 days of lambs with no significant increase in birth weight and average daily gain birth at 50 days.

https://doi.org/10.5433/1679-0359.2014v35n2p963
PDF (Português (Brasil))
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2014 Daniele Portela de Oliveira, Carlos Antonio Lopes de Oliveira, Elias Nunes Martins, Fernando Miranda Vargas Junior, Leonardo Oliveira Seno, Guilherme dos Santos Pinto, Aya Sasa, Marcos Barbosa-Ferreira

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