Journal of Dairy Science · 2019 · 55 citations · 32 references
AgricultureAnimal SciencesDairy ScienceAnimal NutritionRuminant NutritionSpectroscopyAnimal Intake EstimationDairy Cattle NutritionDairy Cow NutritionDry Matter IntakeInfrared SpectroscopyLivestock NutritionDry Cow NutritionDry Matter Intake EstimationDry Matter Intake MeasurementDry Matter Intake MonitoringForage Dry Matter EstimationPasture Dry Matter IntakeReflectance Spectroscopy
= 0.68; RMSE = 1.52 kg). A further analysis demonstrated that Holstein-Friesian cows could predict the DMI of Jersey × Holstein-Friesian crossbred cows using both MIRS and NIRS. Similarly, the Jersey × Holstein-Friesian animals could predict the DMI of Holstein-Friesian cows using both MIRS and NIRS. The equations developed in this study have the capacity to predict DMI of grazing dairy cows. From a practicality perspective, MIRS in combination with variables in the benchmark equation is the most suitable equation because MIRS is currently used on all milk-recorded milk samples from dairy cows.
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