Models to predict live weight from heart girth in crossbred beef heifers

Autor: Denis R, Chico-Alcudia, Rodrigo, Portillo-Salgado, Enrique, Camacho-Pérez, Jorge A, Peralta-Torres, Juan C, Angeles-Hernandez, Alfonso L, Muñoz-Benitez, Víctor Hugo Severino, Lendechy, Antonio Leandro Chaves, Gurgel, Gelson, Dos Santos Difante, Luís Carlos Vinhas, Ítavo, Alfonso J, Chay-Canul
Rok vydání: 2022
Předmět:
Zdroj: Tropical animal health and production. 54(5)
ISSN: 1573-7438
Popis: The objective of this study was to develop and evaluate linear, quadratic, and exponential mathematical models to predict live weight (LW) from heart girth (HG) in crossbred heifers raised in tropical humid conditions in Mexico. Live weight (363.32 ± 150.88 kg) and HG (166.83 ± 24.88 cm) were measured in 400 heifers aged between 3 and 24 months. Linear and non-linear regression was used to construct the prediction models. The goodness of fit of the models was evaluated using the Akaike information criterion (AIC), the Bayesian information criterion (BIC), coefficient of determination (R
Databáze: OpenAIRE