Location
Covington, KY
Start Date
2024 12:00 AM
Description
To determine appropriate forage species for US ecoregions, geographic information technologies (GIS) are being used to create climatic and soil factor maps. Excel spreadsheets and RStudio are used to create response functions of forage species to minimum and maximum temperature, annual precipitation, soil pH, soil salinity, and salinity. National forage data and expert opinion will evaluate quantitative tolerances, seasonal yield profiles, and pollinator suitability. These maps and agronomic and livestock use information will be shared with forage specialists and farmers to provide alternatives for improved perenniality, increased diversity, and system circularity. Future work will include development and evaluation of climate change scenarios for temperature and precipitation. Anticipated outcomes include improved species selection and decision making to develop and manage sustainable agricultural systems, improved national policies to provide incentives for agroecologically-matched agricultural systems, and improved likelihood of long-term agricultural production sustainability based on agroecological principles.
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
A GIS Tool for Optimal Forage Species Selection
Covington, KY
To determine appropriate forage species for US ecoregions, geographic information technologies (GIS) are being used to create climatic and soil factor maps. Excel spreadsheets and RStudio are used to create response functions of forage species to minimum and maximum temperature, annual precipitation, soil pH, soil salinity, and salinity. National forage data and expert opinion will evaluate quantitative tolerances, seasonal yield profiles, and pollinator suitability. These maps and agronomic and livestock use information will be shared with forage specialists and farmers to provide alternatives for improved perenniality, increased diversity, and system circularity. Future work will include development and evaluation of climate change scenarios for temperature and precipitation. Anticipated outcomes include improved species selection and decision making to develop and manage sustainable agricultural systems, improved national policies to provide incentives for agroecologically-matched agricultural systems, and improved likelihood of long-term agricultural production sustainability based on agroecological principles.
