Improving robustness and accuracy of predicted daily methane emissions of dairy cows using milk mid‐infrared spectra

Autor: Cécile Martin, Matthiew Bell, Eric Froidmont, Amélie Vanlierde, Hélène Soyeurt, Nicolas Gengler, Michael Kreuzer, Björn Kuhla, Sinead McParland, Frédéric Dehareng, Peter Lund

Publikováno v: Journal of the Science of Food and Agriculture
Journal of the Science of Food and Agriculture, Wiley, 2020, 101 (8), pp.3394-3403. ⟨10.1002/jsfa.10969⟩
Vanlierde, A, Dehareng, F, Gengler, N, Froidmont, E, McParland, S, Kreuzer, M, Bell, M J, Lund, P, Martin, C, Kuhla, B & Soyeurt, H 2021, ' Improving robustness and accuracy of predicted daily methane emissions of dairy cows using milk mid-infrared spectra ', Journal of the Science of Food and Agriculture, vol. 101, no. 8, pp. 3394-3403 . https://doi.org/10.1002/jsfa.10969

International audience; BACKGROUND A robust proxy for estimating methane (CH4) emissions of individual dairy cows would be valuable especially for selective breeding. This study aimed to improve the robustness and accuracy of prediction models that e

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https://hal.inrae.fr/hal-03104053