Formulação de dieta de mínimo custo para gado leiteiro utilizando a programação linear: estudo de caso em uma propriedade do oeste do Paraná

Abstract

Through this research, a diet was formulated for some dairy vaccines from a property located in the western part of Paraná, in order to achieve milk production goals at the lowest cost. In order to do this, we used the Mixing Problem, a research technique that, in this case, seeks a mixture of foods for dairy vaccines, a simpler case, attending concurrently to the nutritional purchases of the animals. First, they were observed the characteristics of the production in the property, such as the environment, the herd, the cycle reproductive, feeding to top of cows and some custards involved. Subsequently, three dairy cows were selected to rejuvenate the results of their production studies and the responses in relation to a version proposed by the present study. Parameters for diet, it was verified as nutritional, relaxing and animal needs to confront their sources with information existing in the tables available in the literature. In the same way, the nutrients contained in each food available to compose an optimized layer were quantified using available dimensions. The capacity of these data was published to the Operational Research (PO) techniques based on the classic “Mix Problem”, with the power to determine the ideal quantity of each food that would comprise a diet that met all the requirements the evaluations of animals at the lowest cost. The diet was accompanied by the proportions indicated by the calculations and the best methods of handling and containment of foods already practiced on the property. It was performed as the milk production compared to the period of the diet, which lasted ninety days, with time to compare the bed volume of the animal and from there to receive a balanced feed, such as the costs involved with feeding. The results obtained increase and increase hope, while times have increased, increasing the expectation of a larger message, generating higher profits than the profits already verified before the present. Thus, the Production Engineering proved to be efficient, proving the capacity of its tools and consistent supports to carry out efforts in the same productive branches.