Aims and Objectives:
Test new ‘system’ level approaches to farming in order to understand how to:
- Sustainably reduce yield gaps;
- Enhance natural processes underpinning food production;
- Develop more profitable systems;
- Increase longer term resilience.
Three farming ‘system’ treatments, which reflect different philosophies and goals, will be compared in both arable and grassland farming systems. Each system is defined by a generalised set of realistic management rules aimed at overcoming the key factors limiting yield and profitability.
- A large-scale, statistically robust multi-site experiment, to test innovative farming systems on commercial arable and grassland farms
- Smaller scale, experiments aimed at understanding the specific mechanisms underpinning the individual elements of each system
- Multiple lines of evidence (biological, economic, agronomic) on system level viability, practicality and profitability
- Data and knowledge to inform policy and grower decisions that will impact agricultural industry
- Opportunity for technology transfer/ complementary research
Key Products and Datasets:
Detailed site measurements will help validate ASSIST models and test predictions of how different environmental drivers affect yield.
Working with Emorsgate Seeds:
Wildflower and grass seed mixtures being tested within the ASSIST multi-site experiment have been co-designed with, and kindly provided by, Emorsgate Seeds.
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