PARADIGMA EVOLUTIVO EN LA FORMULACIÓN DE RACIONES PARA GANADO BOVINO (EVOLUTIONARY PARADIGM IN THE FORMULATION OF RATIONS FOR BOVINE CATTLE)

Blanca Cecilia López Ramírez, Luis Ramón Sánchez Rico, Giovanni Guzmán Lugo, Mauricio Flores Hernández

Resumen


Resumen

El interés de la industria ganadera por la salud del animal ha impulsado el estudio de la preparación de raciones con los nutrientes necesarios para un mayor rendimiento en la producción de leche. El cuidado de una buena alimentación está directamente relacionado con la calidad y cantidad de leche producida por una vaca. Este trabajo propone una técnica evolutiva para la formulación de raciones con el objetivo de maximizar la producción de leche en el ganado bovino. El problema de la formulación de raciones es complejo debido a que no sólo se considera su peso, edad, especie y estado físico del animal, sino también, factores como la proteína cruda digerible, los nutrientes totales digeribles y la materia seca digerible son importantes en este proceso. En este trabajo, un Algoritmo Genético con representación binaria es propuesto para resolver el problema en la formulación de raciones. Los resultados obtenidos muestran que la aplicación del Algoritmo Genético en la preparación de raciones es una alternativa muy competitiva y eficiente, que alcanza un mayor rendimiento que los métodos tradicionales en la producción de leche para ganado bovino.

Palabra(s) Clave: Algoritmo genético, Nutrición animal, Nutrientes, Rendimiento.

 

Abstract

This work proposes an evolutionary technique for the formulation of food rations with the objective to maximize milk production in cattle. The interest of the livestock industry by the animal's health has promoted the study of the preparation of rations with the necessary nutrients for increased performance in the production of milk. The care of a good power supply guarantees the quality and quantity of milk produced by a cow. The problem of ration formulation is complex due to the fact that not only is considered your weight, age and physical condition of the animal, but in addition, factors such as the digestible crude protein, total digestible nutrients and the digestible dry matter are important in this process. A Genetic Algorithm with binary representation is proposed in the formulation of rations. The results are interesting and competitive reaching greater performance in the production of milk.

Keywords: Animal nutrition, Genetic algorithm, Nutrients, Performance.


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Referencias


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