Feed intake of Holstein, Danish Red, and Jersey cows in automatic milking systems

摘要: Abstract The voluntary dry matter intake (DMI) of a cow is an important parameter in dairy farming; however, it cannot be measured directly for individual cows within group, therefore model needed to estimate the DMI. In previous study DMI model–the ‘ 2004 Model '–was developed Israeli Holstein milked milking parlor. present aimed apply robotically three different breeds: Danish Holstein, Red, and Jersey. Robotic by means Automatic Milking System (AMS) influences both milk yield feeding behavior. incorporates animal factors: (MY), daily changes body weight (BW), MY/BW relationship, fat content. A modern robot automatically measures BW its stall. differs from US National Research Council (NRC) incorporation continuously changing parameters: 1) coefficients appropriate each day lactation; 2) values BW; 3) MY normalized according 4) data only 2 d rather than whole lactation. was on basis sets acquired 2002 through 2005 at Cattle Centre (DCRC) Foulum, Denmark, which covers total 206 lactations (62 cows, 77 Reds, 67 Jerseys). Results suggest that: (1) level, takes fluctuations into account; (2) group average Mean Absolute Error (MAE) as calculated significantly ( t -test, p  = 0.05) lower that given NRC model. MAE models, respectively were: 2.0 vs. 2.4 kg, 2.2 2.5 kg, 1.8 2.1 kg Jersey respectively. estimation ration formulation, therefore, may considered on-line decision-making, such adjustment amount concentrate supplied AMS.