A high feed quality of grass silage is prerequisite for high animal performance, animal health and low feed costs.
Duration: April 2017 - March 2020
Isabell Szallies ►isabell.szallies[at]agrathaer.de ►0049 (0)33432/82-299
Agrargenossenschaft Lüchfeld e.G., Agrargenossenschaft Münchehofe e.G., agt Agrar GmbH Trebbin, Grüpa-Hof GbR, JAG- Jüterboger Agrargenossenschaft e.G., Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V., Landwirtschaftlicher Lehrbetrieb Siegfried & Eckhard Leinitz GbR
Leadpartner: agrathaer GmbH
About the Project
Long-term analyses of the feed laboratory in Waldsieversdorf (LKV BB e.V.) show considerable quality problems with grass silage. Particularly with regard to central quality parameters such as dry matter (DM), crude protein and energy content, no significant improvement in the quality of grass silage could be achieved, despite recommendations.
Against this background, there is a need to make targeted adjustments in the process sequence which are based on detailed knowledge of the individual process steps.
The aim of the innovation project is to provide prototypes of marketable and user-friendly software tools to improve the quality of grass silage and increase the profitability of dairy cattle farming. Based on scientific research results of earlier years, two dynamic software prognosis models are to be tested and further developed together with farms in Brandenburg. This is intended to allow a direct adaptation of the process sequences of ensiling as well as improvement of the grassland swards delivering the material to be ensiled.
The innovative solution approach of the project is that a standardized software prognostic tool enables the farmer to exploit unused optimization potential of the grassland during the current management year, thereby reducing feed costs for dairy cattle farming and increasing the profitability of the farm.