Estimates of Genetic Parameters, Growth Curve, and Environmental Effects for Nellore Cattle in the Pantanal

Author:

Vaz Karla Mendonça1,Souza Julio Cesar de2,Ferraz André Luiz Julien1,Silveira Mauricio Vargas da3,Arruda Rosana Moreira da Silva de1,Souza Carolina Fregonesi de4,Ferraz Filho Paulo Bahiense5,Machado Carlos Henrique Cavallari6,Alencar Mariana Pereira7,Abreu Urbano Gomes Pinto de8

Affiliation:

1. Campus de Aquidauana, Universidade Estadual de Mato Grosso do Sul, Aquidauana 79200-000, MS, Brazil

2. Campus de Aquidauana (CPAQ), Universidade Federal de Mato Grosso do Sul, Aquidauana 79200-000, MS, Brazil

3. Ani+ Consultoria e Assessoria Pecuária, Aquidauana 79200-000, MS, Brazil

4. Programa de Pós-Graduação em Ciências Veterinárias, Faculdade de Medicina Veterinária, Federal University of Uberlândia—UFU, Uberlândia 38400-902, MG, Brazil

5. Campus de Três Lagoas, Universidade Federal de Mato Grosso do Sul, Três Lagoas 79603-011, MS, Brazil

6. Faculdades Associadas de Uberaba—UNIUBE, Uberaba 38045-000, MG, Brazil

7. Associação Brasileira de Criadores de Zebu—ABCZ, Uberaba 38045-000, MG, Brazil

8. EMBRAPA/Pantanal, Corumbá 79320-900, MS, Brazil

Abstract

The objective was to estimate the growth curves and genetic parameters using random regression methodology for Nellore cattle raised in Pantanal, MS, Brazil (6974 calves; n = 53,233 weights), with at least four weighings per individual. The model considered direct and maternal genetic additives and maternal permanent environmental effects at random. Orthogonal Legendre polynomials of cubic order were used to fit the growth curve. Analyses of variance were performed using the GLM procedure. The model used contained the fixed effects of sex, year of birth, farm, and the covariates calf birth month (linear and quadratic) and cow age at calving (linear and quadratic). The adjusted mean weight at 120 days of age was 93.43 ± 19.78 kg, and for 205 days of age, it was 180.42 ± 26.58 kg. Animals born in the dry season had a higher average weight [kg] (219.57 vs. 211.78, 3.7% higher) and, consequently, had higher weights at 646 days of age. Estimates of direct heritabilities (h2a) ranged from 0.35 to 0.75 (high magnitudes), and maternal heritabilities (h2m) along the trajectory of low magnitudes ranged from 0.03 to 0.08, respectively. The use of random regression to evaluate beef animals allows for adjusting the growth curve and selecting the best animals to be the parents of future generations.

Funder

Coordination for the Improvement of Higher Education Personnel, CAPES, Brazil

Publisher

MDPI AG

Reference15 articles.

1. Santos, C.C., and Araujo, F.A.S. (2024, March 04). Guia de Melhores Práticas Pecuárias da Planície Pantaneira. Brasília, DF: Fundo Mundial Para a Natureza. 2021. ISBN 978-65-89267-01-0 1, Available online: https://www.semadesc.ms.gov.br/wp-content/uploads/2023/11/guiapantanal_web_1_1_1_1_compressed.pdf.

2. Souza, J.C., Paiva, L.M., Arruda, R.M.S., Barros, W.M., Bassinello, P.Z., Oliveira, G.F., Souza, C.F., Rezende, M.P.G., and Markwith, S.H. (2022). Animal Production and Conservation in the Pantanal Plain: A Sustainability Outlook. The Encyclopedia of Conservation-Reference Module in Earth Systems and Environmental Sciences, Elsevier. [1st ed.].

3. Bioeconomic model and selection indices in Aberdeen Angus cattle;Campos;J. Anim. Breed. Genet.,2014

4. Fragomeni, B.O., Lourenco, D.A.L., Tooker, M.E., Van Raden, P.M., and Misztal, I. (2018, January 11–16). Use of causative variants and SNP weighting in a single-step GBLUP context. Proceedings of the 11th World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand.

5. Random regression analyses using B-spline to model growth of Australian Angus cattle;Meyer;Genet. Sel. Evol.,2005

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