PSXVI-4 Modelling Response to Heat Stress in a Northeastern USA Dairy Facility Using Robotic Voluntary Milking System Data

Abstract Heat stress represents a major concern in the US dairy industry. It negatively affects profitability by reducing production and reproductive efficiency. One efficient way to study heat is associate losses with weather data. The objective of this use data from voluntary milking system local station impact on facility Northeast. Data 124 Holsteins Jersey cows, daily records June 2020 February 2022 at Kellogg Dairy Center University Connecticut, Storrs, CT, were used. first approach consisted fitting load function model changes milk production. Additionally, total number days under potential per lactation associated. Finally, residuals nonlinear for curve computed using Wilmink equations modeled as values. Results suggested that temperature-humidity index above 60 may reduce significantly (p < 0.05). In addition, better fit was obtained when calculated average between day event before. correlations yield not significant. effect significant negative Taken together, results suggest cows Northeast affected stress. Moreover, provides appropriate evaluating response events cattle Such an evaluates animals normal circumstances does limit individuals be studied.