Objectives
Grazing management is complex. It involves many interventions such as varying the length of grazing rotation, nitrogen fertilisation, supplementation, access time, stocking rate, paddock size, removal of surplus grass and topping. This complexity makes it difficult in practice to predict the effects on animal and grassland production – especially when two or more interventions are executed simultaneously. The decision support tool “GrazeVision” could give a helping hand.
Objectives
NA
Additional information
“GrazeVision” was developed during the project “Cow&us” and it simulates the effects of one or more management interventions at the same time. The inputs for GrazeVision are nitrogen application rate, soil, season, target residual herbage mass, herd demography, paddock size, access time and supplementary feeding.
The outputs are predicted initial herbage mass, herbage intake, substitution rate of supplemental feeding, paddock residence time, herbage available for cutting, rejected herbage mass (tall patches), herbage loss due to fouling with dung, trampling and poaching, herbage utilization, total milk production and changes in milk production during paddock residence time. Farm profitability is calculated after allocation of input prices and product returns.
Project details
- Main funding source
- Other public (national, regional) research funds
- Project acronym
- GrazeVision
1 Practice Abstracts
NA