NEW CROPS AND MANAGEMENT STRATEGIES TO IMPROVE CROPPING EFFICIENCY IN SHORT-SEASON HIGH-STRESS ENVIRONMENTS
Location: Soil Management Research
Project Number: 3645-21220-004-00
Start Date: Oct 29, 2008
End Date: Oct 28, 2013
Objective 1: Identify and develop new and alternative crops and cropping strategies for the northern U.S.
• Sub-objective 1-1. Identify best adapted species/genotypes of new, alternative, and traditional crops for biofuels and bioproducts production in northern climates.
• Sub-objective 1-2. Develop innovative, and improve existing strategies for managing new, alternative, and traditional crops.
• Sub-objective 1-3. Determine environmental limitations on growth, development, and seed oil and nutritional quality of new, alternative, and traditional crops.
Objective 2: Develop new strategies and decision aids to improve and increase the efficiency of weed management.
• Sub-objective 2-1. Develop biological models of important invasive and prominent weeds, stressing critical life history events.
• Sub-objective 2-2. Develop and improve weed management models.
• Sub-objective 2-3. Explore feasibilities of entirely new strategies of managing weeds, focusing on increasing research on biologically-based integrated weed management.
Two mutually supporting approaches will be taken to meet our objectives. The first involves a series of field studies to identify new (e.g. cuphea, pennycress, and bifora) and alternative crop genotypes (e.g. camelina and calendula), develop practices to manage them, and use these crops along with traditional crops to develop alternative strategies (double- and relay-cropping) to add innovative economic and environmental benefits. Additionally, controlled-environment and field experiments will be conducted to determine environmental limitations (e.g. water and soil and air temperature) to growth of new and alternative crops. The second approach involves the integration of field and controlled-environment experiments of weed growth and development, innovative weed control methods, and computer modeling to develop decision support aids to efficiently and effectively manage weeds in cropping systems that include new and alternative, as well as traditional crops. Together the outcomes of this research will provide clientele with new knowledge, crops, and management tools to increase cropping efficiency and diversity in northern climates.