Short Communication: Prediction of body weight using morphometric measurements in Creole goats from Peru

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Published: 2025-07-15
DOI: https://doi.org/10.13057/biodiv/d260710
Keywords:
Goat farming, goats, morphometric traits, regression model, stepwise
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MIGUEL PAREDES-CHOCCE ♥
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0009-0005-8944-2271 (unauthenticated)
EMMANUEL SESSAREGO
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0000-0003-2968-9270 (unauthenticated)
LUCINDA TAFUR
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0000-0002-5287-2615 (unauthenticated)
VICTOR TEMOCHE
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0000-0001-9645-694X (unauthenticated)
JORGE SALINAS
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0009-0003-1838-6001 (unauthenticated)
IRENE ACOSTA
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0009-0004-3138-4083 (unauthenticated)
JOSE RUIZ
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0009-0007-4363-9719 (unauthenticated)
JUANCARLOS CRUZ
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0000-0003-1169-440X (unauthenticated)
FRITZ TRILLO
National Institute of Agrarian Innovation. Av. La Molina 1981, La Molina, Lima 15024, Peru
https://orcid.org/0000-0002-4763-3433 (unauthenticated)

Abstract

Abstract. Paredes-Chocce M, Sessarego E, Tafur L, Temoche V, Salinas J, Acosta I, Ruiz J, Cruz J, Trillo F. 2025. Short Communication: Prediction of body weight using morphometric measurements in Creole goats from Peru. Biodiversitas 26: 3193-3198. Goats are an important component of smallholder family farms along the coast and highlands of Peru. The weight of an animal is an important indicator of the production and economy of farmers in rural areas. Therefore, this study aimed to develop predictive models for Body Weight (BW) using Morphometric Measurements (MM) of Creole goats (Capra hircus) in Perú. BW and five MM were collected from 356 goats from the coast and highlands of Peru. Variables were analyzed using correlation and stepwise regression analysis to select the best model based on the coefficient of determination (r2), adjusted r2, Residual Standard Error (RSE), and Akaike Information Criterion (AIC) using the RStudio statistical software. The highest correlation was found between BW and TG (0.76), followed by RW (0.67), and RH (0.65). The combinations of MM selected as predictors of BW by stepwise regression were TG, RH, and RW, with r2: 0.640. The selected candidate model met all established tests and, upon validation, reached an r2 of 0.66 (p<0.001), indicating that the model can adequately predict the BW of Peruvian Creole goats and serve as a practical tool to support selection programs, feeding strategies, and market decision-making in smallholder systems.

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Vol. 26 No. 7 (2025)

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