Tag Archives: software

872–878 C.G.S. Teles Jr., R.S. Gates, M. Barbari, L. Conti, G. Rossi, M.O. Vilela, C.F.F. Souza and I.F.F. Tinôco
A software to estimate heat stress impact on dairy cattle productive performance
Abstract |
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A software to estimate heat stress impact on dairy cattle productive performance

C.G.S. Teles Jr.¹, R.S. Gates², M. Barbari³*, L. Conti³, G. Rossi³, M.O. Vilela¹, C.F.F. Souza¹ and I.F.F. Tinôco¹

¹Federal University of Viçosa, Department of Agricultural Engineering, Av. Peter Henry Rolfs, s/n Campus University of Viçosa CEP: 36570-900, Viçosa, Minas Gerais, Brazil
²University of Illinois, Department of Agricultural and Biological Engineering, 1304 West Pennsylvania Avenue, US61820, Urbana-IL, United States of America
³University of Florence, Department of Agriculture, Food, Environment and Forestry, Via San Bonaventura, 13, IT50145 Firenze, Italy
*Correspondence: matteo.barbari@unifi.it; carlosgutembergjr@hotmail.com

Abstract:

The aim of this study is to develop a computational tool, based on the Temperature and Humidity Index value, to characterize the thermal environment in dairy cattle barns and to evaluate the impact of thermal stress on productive performance. The software for the thermal environment prediction, and determination of the influence of heat stress on dairy cow productivity (Ambi + Leite) was developed using the C# programming language in the Microsoft Visual C# 2010 Express Integrated Development Environment. The following scenario was considered for the program test: air temperature 32°C, relative air humidity 70% and milk production potential in thermoneutrality condition 20 kg cow-1 day-1. The prediction of the thermal environment based on the simulated situations indicates that the animals are submitted to a moderate heat stress condition with THI equal to 82.81. In this condition a decrease of approximately 26% in milk production and a reduction of 4 kg cow-1 day-1 in food intake was calculated. In conclusion, the developed software can be a practical tool to assist the producer in making-decision processes.

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