Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?
Delhez, P., Ho, P.N., Gengler, N., Soyeurt, H., Pryce, J.E.
Published in Journal of dairy science (01.04.2020)
Published in Journal of dairy science (01.04.2020)
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A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra
Soyeurt, H., Grelet, C., McParland, S., Calmels, M., Coffey, M., Tedde, A., Delhez, P., Dehareng, F., Gengler, N.
Published in Journal of dairy science (01.12.2020)
Published in Journal of dairy science (01.12.2020)
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Predicting milk mid-infrared spectra from first-parity Holstein cows using a test-day mixed model with the perspective of herd management
Delhez, P., Colinet, F., Vanderick, S., Bertozzi, C., Gengler, N., Soyeurt, H.
Published in Journal of dairy science (01.07.2020)
Published in Journal of dairy science (01.07.2020)
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The feeding system impacts relationships between calving interval and economic results of dairy farms
Dalcq, A.-C., Beckers, Y., Mayeres, P., Reding, E., Wyzen, B., Colinet, F., Delhez, P., Soyeurt, H.
Published in Animal (Cambridge, England) (01.08.2018)
Published in Animal (Cambridge, England) (01.08.2018)
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Relationships between milk mid-IR predicted gastro-enteric methane production and the technical and financial performance of commercial dairy herds
Delhez, P., Wyzen, B., Dalcq, A.-C., Colinet, F. G., Reding, E., Vanlierde, A., Dehareng, F., Gengler, N., Soyeurt, H.
Published in Animal (Cambridge, England) (01.09.2018)
Published in Animal (Cambridge, England) (01.09.2018)
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