Volume 142, Issue 2 pp. 131-144
ORIGINAL ARTICLE

Multivariate analysis of herd structure and genetic resource indicators in seedstock beef cattle herds

Rafael Monteiro dos Santos

Rafael Monteiro dos Santos

Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

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Iris Assis Aganete

Iris Assis Aganete

Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

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Bruna Diego Botrel

Bruna Diego Botrel

Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

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Gilberto Romeiro de Oliveira Menezes

Gilberto Romeiro de Oliveira Menezes

Embrapa Gado de Corte, Campo Grande, Mato Grosso do Sul, Brazil

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Leonardo Martin Nieto

Leonardo Martin Nieto

Geneplus Consultoria Agropecuária Ltda, Campo Grande, Mato Grosso do Sul, Brazil

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Maury Dorta de Souza Jr

Maury Dorta de Souza Jr

Geneplus Consultoria Agropecuária Ltda, Campo Grande, Mato Grosso do Sul, Brazil

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Fabio Luiz Buranelo Toral

Corresponding Author

Fabio Luiz Buranelo Toral

Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

Correspondence

Fabio Luiz Buranelo Toral, Universidade Federal de Minas Gerais, 6627 Antônio Carlos Avenue, Belo Horizonte, Minas Gerais 31270-901, Brazil.

Email: [email protected]

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First published: 23 August 2024

Abstract

Genetic, environmental, technological and financial resources are used differently in cattle herds that participate in the same breeding programme. The percentages of calves sired by sires within their own herd or from external herds vary across herds, as do the intensities of use of reproductive biotechnologies. These divergences may be related to differences in the indicators of genetic performance for economic traits. The aim of this study was to determine the factors related to herd structure and genetic resource utilization that exert the greatest influence on the genetic merit of seedstock herds within a Nellore breeding programme. The database comprised 21 factors, along with genomic-enhanced expected progeny differences (GE-EPDs) for growth, reproductive and carcass traits, as well as a selection index of animals from 128 herds. By combining principal component analysis and cluster analysis, we were able to group the herds. We identified statistically significant differences (p < 0.05) in the mean values of the factors, GE-EPDs and genetic trends among the groups of herds. Differences in the percentage of sires from external herds and in sire age between the groups of herds were the factors most associated with differences in mean GE-EPDs and genetic trends. Using young sires from other herds or lineages is an effective strategy in animal breeding. By enhancing genetic variability, this approach does not only improve the genetic quality of herds but also accelerates genetic progress in desired traits over time. Therefore, to ensure the success of this strategy, it is crucial that seedstock herds undergo a thorough selection process aimed at maximizing the genetic potential of future generations of beef cattle.

CONFLICT OF INTEREST STATEMENT

We declare that Leonardo Martin Nieto and Maury Dorta de Souza Junior are employees of Geneplus Consultoria Agropecuária Ltda. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationship that could be construed as a potential conflict of interest.

DATA AVAILABILITY STATEMENT

The data used in this study are from commercial farms and will be made available on request.

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