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Collaborative project: Sensor controlled total mixed ration for nutrient optimised feeding of dairy cattle - Subproject 3
Project
Project code: 2813800510
Contract period: 01.11.2010
- 30.04.2014
Budget: 188,557 Euro
Purpose of research: Experimental development
The aim of this project was to contribute to improved quality management in milk production by reducing the use of concentrated feed or by increasing milk yield. The development and integration of an NIRS system on a self-propelled mixer feeder made it possible to record ingredients when transferring feed from the silo. In order to analyse basic feed components (grass and corn silage), estimation models were created for the following parameters: dry matter (TM), crude ash (XA), crude protein (XP), crude fibre (XF) and crude fat (XL). For grass silage, the standard deviation of the cross-validation was 2.44% for dry matter, 1.47% for crude ash, 0.97% for crude protein, 0.92% for crude fibre and 0.4% for crude fat. For corn silage, the standard deviation of the cross-validation was 1.46% for dry matter, 0.36% for crude ash, 0.92% for crude protein, 1.28% for crude fibre and 0.37% for crude fat. The standard deviation was thus below 1.5% in all cross-validations with the exception of the dry matter content of grass silage. The dry matter content of grass silage had a deviation of 2.44%. The closeness of the results shows that average predictions of dry matter and nutrient content can be used for changes to the ration plan when transferring feed from the silo. The dry matter and crude protein content are especially relevant for optimisation.
Section overview
Subjects
- Animal nutrition
