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RESEARCH ARTICLE

Genetic parameters, genetic trends and selection response for gestation length and traits used as selection criteria in Angus breed in Brazil

Daniel Duarte da Silveira https://orcid.org/0000-0002-0636-402X A * , Juan Salvador Andrade Tineo A , Patrícia Iana Schmidt A , Gabriel Soares Campos A , Fabio Ricardo Pablos de Souza B , Vanerlei Mozaquatro Roso C and Arione Augusti Boligon A D
+ Author Affiliations
- Author Affiliations

A Department of Animal Science, Federal University of Pelotas, Pelotas, RS 96160-000, Brazil.

B Institute of Biology, Federal University of Pelotas, Pelotas, RS 96160-000, Brazil.

C GenSys Associated Consultants, Porto Alegre, RS 90680-000, Brazil.

D National Council for Science and Technological Development, Brasília, DF 71605-001, Brazil.

* Correspondence to: silveira1302@gmail.com

Handling Editor: Forbes Brien

Animal Production Science 64, AN22249 https://doi.org/10.1071/AN22249
Submitted: 11 October 2023  Accepted: 12 December 2023  Published: 22 January 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

The knowledge of the genetic variability of gestation length and its correlations with other traits is relevant for selection decisions in beef cattle.

Aims

Genetic parameters and trends were estimated for gestation length (first (GL1), repeated measures range of 1–6 (GL)) and traits currently used as selection criteria (birth weight (BW), weight gain from birth to weaning (BWG), weight gain from weaning to yearling (WYG), scrotal circumference (SC), score of conformation (YC), score of precocity (YP), and score of muscling (YM)) in Brazilian Angus cattle. In addition, direct and correlated selection responses were predicted.

Methods

A series of single- and two-trait Bayesian analyses were performed on beef cattle data from 14 farms across different regions of Brazil, by using linear and threshold animal models.

Key results

A moderate heritability was estimated for GL1 (0.356 ± 0.058); however, the estimate for GL was low (0.189 ± 0.028) as was that for repeatability (0.204 ± 0.027). Lower accuracies of breeding values were obtained for GL than for GL1, ranging from 0.490 ± 0.161 to 0.687 ± 0.037. Direct heritability estimates for growth and body composition traits were low, except for SC and BWG (0.301 ± 0.060 and 0.241 ± 0.019 respectively). Genetic correlations of 0.558 ± 0.121 and 0.739 ± 0.131 were estimated between GL1 and BW, and between GL and BW respectively. The other traits studied were estimated to have weak or near-zero genetic correlations with gestation length traits. Positive and moderate genetic associations were estimated between BW and BWG, SC, and visual scores (ranging from 0.338 ± 0.095 to 0.458 ± 0.092), but a near-zero estimate was obtained with WYG (0.127 ± 0.150). Weight gains were more highly genetically correlated with visual scores than between themselves (BWG and WYG) and with SC. The SC was highly genetically correlated with visual scores (0.684 ± 0.054 to 0.714 ± 0.050). Genetic trends showed that all traits studied have been changing in a positive direction, being unfavourable for BW and GL. Higher genetic gains were expected from using direct selection than from using indirect selection for GL1.

Conclusions

Rapid growth is genetically associated with superior conformation, precocity and musculature, as well as a large scrotal circumference in males. However, selection decisions that heavily focus on these traits are likely to lead to more calving difficulties in the longer term.

Implications

Selection indices should incorporate traits that measure calving difficulty directly if relevant records are available. Currently, considering its practical implications in primiparous anoestrus, the first-gestation length could serve as a viable alternative for inclusion in selection indices. Due to the low repeatability of the gestation length, decisions to cull on the basis of only one or two records of GL are highly inaccurate.

Keywords: Bayesian inference, beef cattle, calving difficulties, genetic changes, heifers, scrotal circumference, visual scores, weight.

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