Inferência exploratória de dados na climatização de bovinos de leite como ferramenta na tomada de decisão

Abstract

The use of improved technologies in milk production has presented numerous alternatives with emphasis on productive efficiency, milk quality and animal welfare. This study was conducted with the objective of conducting exploratory analysis of environmental variables, comfort indices, physiological and behavioral responses, milk yield, composition and quality of cows submitted to the Evaporative Adiabatic Cooling System (SRAE) in the summer and summer seasons. Pernambuco semiarid winter as a tool for decision making. Sixteen Girolando cows were divided into four groups and submitted to three times of exposure to SARS in the waiting corral (10, 20 and 30 min) and control (without acclimatization). The milking period was performed in two shifts, morning and afternoon, with feed provided twice a day. Multivariate statistics were adopted for data analysis using the principal component technique (PCA). The use of principal component analysis showed positive responses in obtaining a set of more than two variables studied. In the summer season, the effect of the delaying effect of the adiabatic cooling times on the milk yield and composition of dairy cows was observed, with 30 minutes of the morning shift acting in response to the afternoon and the time of 10 minutes. minutes in the afternoon acting in response to the next morning's morning shift. There was a strong relationship between CCS and animal activity in shade for summer and lying down for winter, being one of the factors that influenced the increase in CCS. The use of evaporative adiabatic cooling system in winter was beneficial for milk quality, reducing the CCS. The application of multivariate analysis by the Principal Components (CP) method on environmental variables, behavioral parameters and milk quality of dairy cows proved to be an efficient tool to identify a set of variables, comparing all variables with each other.