Abstract
Prediction of pregnancy state from milk mid-infrared (MIR) spectroscopy in dairy cows
Highlights
Pregnancy assessment is an essential tool for the reproductive management in cattle farms (e.g. Balhara et al, 2013, Pohler et al, 2016, Hirpa et al, 2018)
We examined 2 approaches to predict the pregnancy status of dairy cows from routinely recorded MIR spectra
In the reported approach of Delhez et al (2020), who used single spectra after insemination, prediction accuracies were lower than our results
Summary
Pregnancy assessment is an essential tool for the reproductive management in cattle farms (e.g. Balhara et al, 2013, Pohler et al, 2016, Hirpa et al, 2018). There are two types of diagnosing pregnancy state: direct methods such as estrus detection, transrectal palpation and transrectal ultrasonography, and indirect methods like analysis of progesterone and pregnancy-associated glycoproteins in milk or blood (Balhara et al, 2013, Pohler et al, 2016). Another important fact to be considered, are pregnancy losses. Repeated information about the pregnancy status of a dairy cow (e.g. at every test day) would be a truly useful tool for dairy farmers
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