Offered Papers Theme C: Delivering the Benefits from Grassland
Description
Low prices of concentrates and the high demands for good management of grass growth associated with grazing, have led to lower utilisation of grazed grass in Europe. The use of decision support systems (DSS) with valid predictions of herbage growth (HG) and milk yield (MY) may improve grazing management for dairy farmers. The aim of this study was to explore the possibilities to improve grazing management of dairy cows in Europe, by developing a DSS within the European Union project, Grazemore.
Citation
Hetta, Mårten; Norrsken-Eriksson, M.; Persson, S.; Larsson, Evelina; Karlsson, Linda; Alvarez-Torre, N.; Eriksson, Harry; and Martinsson, K., "The Grazemore Decision Support System for Grazing Management of Dairy Cows" (2023). IGC Proceedings (1993-2023). 44.
https://uknowledge.uky.edu/igc/20/themeC/44
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
The Grazemore Decision Support System for Grazing Management of Dairy Cows
Low prices of concentrates and the high demands for good management of grass growth associated with grazing, have led to lower utilisation of grazed grass in Europe. The use of decision support systems (DSS) with valid predictions of herbage growth (HG) and milk yield (MY) may improve grazing management for dairy farmers. The aim of this study was to explore the possibilities to improve grazing management of dairy cows in Europe, by developing a DSS within the European Union project, Grazemore.
