Evaluation of the thermoregulatory response of goats naturally exposed to the tropical climate using longitudinal data

Authors

  • Tâmara Rodrigues Pereira Universidade Federal do Piauí https://orcid.org/0009-0001-4732-4315
  • josé Lindenberg Rocha Sarmento Universidade Federal do Piauí
  • Amauri Felipe Evangelista Universidade Federal do Paraná https://orcid.org/0000-0003-3442-3514
  • Marcelo Richelly Alves de Oliveira Instituto de Ensino Superior Múltiplo https://orcid.org/0000-0002-0066-8962
  • Wellington Paulo da Silva Oliveira Universidade Federal do Piauí
  • Bruna Lima Barbosa Universidade Federal do Piauí
  • Lilian Rosalina Gomes Silva Universidade Federal do Piauí
  • Geandro Carvalho Castro Universidade Federal do Piauí
  • João Lopes Anastácio Filho Universidade Federal do Piauí
  • Artur Oliveira Rocha Purdue University https://orcid.org/0000-0002-9021-2925

DOI:

https://doi.org/10.5433/1679-0359.2023v44n2p635

Keywords:

Covariance structure, Physiological parameters, Repeated measurements, Thermal stress.

Abstract

Rectal temperature (RT), heart rate (HR), and respiratory rate (RR), determined as repeated measurements over time in female goats, were used to identify covariance matrices that best fit the data for residual modeling on these three traits. Then, based on this result, the goats’ responses to heat were evaluated. Five matrices were found with convergence for the three traits. The Heterogeneous Compound Symmetry matrix showed a good fit for modeling the residual associated with RT, whereas the Heterogeneous Autoregressive matrix had a better fit for RR and HR, according to the Akaike Information Criteria (AIC), corrected AIC (AICc), and Schwarz Bayesian Information Criterion (BIC) used. After adjusting the residual data for these three traits, a mixed-model analysis was used to evaluate collection period (3), physiological stage (3), and animal age (3) as fixed effects. Residual modeling interfered differently with the p-value associated with the fixed effects studied. Collection period and interactions did not influence the variation in RT (P>0.761), which was within the standard range for goats in the tropics, while the physiological stage of the goats affected it (P<0.05). Rectal temperature, HR, and RR tend to show covariance structures that can be modeled using specific residual covariance matrices, that is, the heterogeneous compound symmetry matrix best suits RT data, whereas the heterogeneous autoregressive matrix is better suited for HR and RR, which are usually correlated. The goats of the evaluated breed maintain RT within the range of variation displayed by breeds adapted to a hot environment, regardless of their physiological condition. Variations occur in RR and HR, without, however, exceeding the normal range for goats. Pregnancy causes goats to raise their RR in the rainy season of the year in the region in order to maintain RT within the normal range for the species.

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Author Biographies

Tâmara Rodrigues Pereira, Universidade Federal do Piauí

M.e Profa, Secretaria de Estado da Educação do Maranhão, SEDUC, Timon, MA, Brazil.

josé Lindenberg Rocha Sarmento, Universidade Federal do Piauí

PhD Prof., Departamento de Zootecnia, UFPI, Petrônio Portela Campus, Teresina, PI, Brazil.

Amauri Felipe Evangelista, Universidade Federal do Paraná

PhD in Animal Science, Universidade Federal do Paraná, UFPR, Setor de Ciências Agrárias, Curitiba, PR, Brazil.

Marcelo Richelly Alves de Oliveira, Instituto de Ensino Superior Múltiplo

PhD Prof., Instituto de Ensino Superior Múltiplo, IESM, Timon, MA, Brazil.

Wellington Paulo da Silva Oliveira, Universidade Federal do Piauí

PhD Prof., Departamento de Zootecnia, UFPI, Petrônio Portela Campus, Teresina, PI, Brazil.

Bruna Lima Barbosa, Universidade Federal do Piauí

PhD in Animal Science, UFPI, Petrônio Portela Campus, Teresina, PI, Brazil.

Lilian Rosalina Gomes Silva, Universidade Federal do Piauí

M.e Profa., Instituto Federal de Ensino, Ciência e Tecnologia do Piauí, IFPI, Valença Campus, PI, Brazil.

Geandro Carvalho Castro, Universidade Federal do Piauí

M.e in Animal Science, Universidade Federal do Piauí, UFPI, Petrônio Portela Campus, Teresina, PI, Brazil.

João Lopes Anastácio Filho, Universidade Federal do Piauí

M.e in Animal Science, Universidade Federal do Piauí, UFPI, Petrônio Portela Campus, Teresina, PI, Brazil.

Artur Oliveira Rocha, Purdue University

Veterninary Madicine, Ph.D. Graduate Research Assistant, Department of Animal Sciences, Purdue University, West Lafayette, IN, United States.

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Published

2023-05-03

How to Cite

Pereira, T. R., Sarmento, josé L. R., Evangelista, A. F., Oliveira, M. R. A. de, Oliveira, W. P. da S., Barbosa, B. L., … Rocha, A. O. (2023). Evaluation of the thermoregulatory response of goats naturally exposed to the tropical climate using longitudinal data. Semina: Ciências Agrárias, 44(2), 635–652. https://doi.org/10.5433/1679-0359.2023v44n2p635

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