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Multi-trait selection index and cluster analyses in Angus cattle

Published online by Cambridge University Press:  03 August 2021

G. M. Fernandes*
Affiliation:
Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, 14049-900, Monte Alegre, Ribeirão Preto, SP, Brazil
R. P. Savegnago
Affiliation:
Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, 14884-900, Jaboticabal, SP, Brazil
L. A. Freitas
Affiliation:
Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, 14049-900, Monte Alegre, Ribeirão Preto, SP, Brazil
L. El Faro
Affiliation:
Instituto de Zootecnia, Centro APTA Bovinos de Corte, 14160-000, Sertãozinho, SP, Brazil
V. M. Roso
Affiliation:
Gensys Consultores Associados, 90680-000, Porto Alegre, RS, Brazil
C. C. P. de Paz
Affiliation:
Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900, 14049-900, Monte Alegre, Ribeirão Preto, SP, Brazil Instituto de Zootecnia, Centro APTA Bovinos de Corte, 14160-000, Sertãozinho, SP, Brazil
*
Author for correspondence: G. M. Fernandes, E-mail: gimafe@gmail.com

Abstract

In breeding programmes, the genetic selection process is based on the prediction of animal breeding values, and its results may vary according to the employed selection method. The current study developed an economic selection index for animals of the Angus breed; performed cluster analyses using the breeding values in order to evaluate the genetic profile of the animals candidates to selection, and compared the obtained results between the economic selection index and the cluster analyses. The evaluated traits included weaning weight, 18-month weight, scrotal circumference, fat thickness and ribeye area. Economic values were obtained using bioeconomic modelling, simulating a complete cycle production system of beef cattle breeds in Brazil, and the selection objective were the weaning rate and slaughter weight. The chosen selection index was composed of all of the traits used as selection criteria for the simulated production system. During the cluster analyses, the population was divided into two to four groups, in which the groupings containing potential animals were assessed. The animals of the grouping which was used for comparison with the selection index were identified, and most of the bulls that were included in the index were among the best in the analysed group. These results suggest that the cluster analyses can be used as a tool for the selection of animals to be used as parents for future generations.

Type
Animal Research Paper
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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Footnotes

*

Bolsista de Produtividade do CNPq.

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