Predicting dry matter intake in Pelibuey sheep using machine learning methods
Enrique Camacho-Perez,
Cem Tirink,
Ricardo Garcia-Herrera,
Ángel T. Piñeiro-Vazquez,
Fernando Casanova-Lugo,
Jorge R. Canul-Solis,
Antonio Leandro Chaves-Gurgel,
Ceyhun Yücel,
Einar Vargas-Bello-Pérez,
Alfonso J. Chay-Canul
Affiliations
Enrique Camacho-Perez
Facultad de Ingeniería. Universidad Autónoma de Yucatán, Av. Industrias No Contaminantes s/n, Mérida, Yucatán, Mexico
Cem Tirink
Igdir University, Faculty of Agriculture, Department of Animal Science, TR76000, Igdir, Turkiye
Ricardo Garcia-Herrera
División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa, km 25, R/A. La Huasteca 2a Sección, Villahermosa, Tabasco, Mexico
Ángel T. Piñeiro-Vazquez
Tecnológico Nacional de México, Mexico
Fernando Casanova-Lugo
Tecnológico Nacional de México, Mexico
Jorge R. Canul-Solis
Tecnológico Nacional de México, Mexico
Antonio Leandro Chaves-Gurgel
Federal University of Piauí, 64900-000, Bom Jesus, Piauí, Brazil
Ceyhun Yücel
Department of Animal Science, Faculty of Agriculture, University of Yozgat Bozok, 66900, Yozgat, Turkiye
Einar Vargas-Bello-Pérez
Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading, RG6 6EU, UK; Facultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Periférico R. Aldama Km 1, 31031, Chihuahua, Mexico; Corresponding author. Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Earley Gate, Reading RG6 6EU, UK.
Alfonso J. Chay-Canul
División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa, km 25, R/A. La Huasteca 2a Sección, Villahermosa, Tabasco, Mexico; Corresponding author.
This study determined to predict the dry matter intake (DMI) in growing male Pelibuey sheep by using 3 different machine learning methods. Individual data was obtained from 130 animals whose average body weight (ABW) was 23 ± 6 kg and the DMI was 1.04 ± 0.27 kg/d from an experiment conducted under tropical conditions. To create the database, the following data were recorded: % concentrate in the diet (CON), initial body weight (IBW, kg), final BW (FBW, kg), mean metabolic BW (MBW0.75, kg0.75), daily weight gain (ADG, g/d), crude protein (CP) and neutral detergent fibre (NDF). Multivariate Adaptive Regression Splines (MARS), Classification and Regression Tree (CART), and Support Vector Regression (SVR) were used for the development of a predictive algorithm. The determination coefficient was determined over 0.90 for the MARS algorithm. Overall, the MARS algorithm was a reliable predictive model for DMI prediction in the Pelibuey sheep.
