<p dir="ltr"><b>Updating the prediction equation of dry matter intake of lactating dairy cows in large-scale commercial farms using </b><b>readily accessible</b><b> on-farm animal and dietary </b><b>variables</b></p>

However, measuring DMI directly is challenging in large-scale commercial dairy farms, necessitating the use of prediction equations. Although several prediction equations have been established, their applicability, accuracy, and precision still need improvement.

Based on prior literature, this study developed a DMI prediction equation using readily accessible parameters on large-scale commercial farms, including days in milk (DIM), daily fat-corrected milk yield (FCM), daily rumination time (RT), and dietary neutral detergent fiber (NDF) content. Validation with literature data and animal experiment data, as well as comparison with existing similar models in NASEM (2021), showed that this equation, incorporating rumination time and the logarithmic term of 4% fat-corrected milk yield (FCM), exhibited excellent prediction accuracy and precision for both high-yield and low-yield dairy cows, making it suitable for wide application in production practice.