Prediction of heat stress response in dairy cows using milk mid- infrared spectra
- Lemal, P. , Grelet, C. , Dehareng, F. , Soyeurt, H. , Schroyen, M. & Gengler, N. (2026). Prediction of heat stress response in dairy cows using milk mid- infrared spectra. Scientific Reports, 16: 14258.
| Type | Journal Article |
| Year | 2026 |
| Title | Prediction of heat stress response in dairy cows using milk mid- infrared spectra |
| Journal | Scientific Reports |
| Label | U12-0352-Lemal-2026 |
| Volume | 16 |
| Pages | 14258 |
| Abstract | Measuring individual cows’ response to heat stress at large-scale is challenging because physiological traits are not recorded routinely, and production traits are unspecific and require environmental data for interpretation. Milk mid-infrared (MIR) spectra, already recorded in routine, offer a potential alternative, as heat stress affects milk composition and is therefore expected to be reflected in MIR spectra. This study thus aimed to develop a MIR prediction equation for individual heat stress response. Surface temperature and milk traits from 399 cows were recorded to develop a combined heat stress response phenotype. This phenotype resulted from two equations: one predicting surface body temperature (R2 = 0.67; RMSE = 0.64 °C) and one classifying records into three heat stress response classes based on surface temperature and milk composition (accuracy = 61%). The final prediction was applied to historical milk recording data associated with weather information to assess external validity. A mixed model was also fitted to identify cow characteristics associated with stronger predicted heat stress responses. As reported in the literature, multiparous cows, in early lactation, with the highest 24 h milk yield tended to be more affected. Overall, |
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| Lien | https://doi.org/10.1038/s41598-026-39287-9 |
| Authors | Lemal, P., Grelet, C., Dehareng, F., Soyeurt, H., Schroyen, M., Gengler, N. |
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