1. Bill Johnson University of Missouri

2. A Decision Support System for Weed Management University of Nebraska and North-Central Partner States

3. Objective Develop a biology and economics based weed management decision support tool for crop managers

4. Development Team Weed Scientists Information systems specialist Listening group-Users

5. WeedSOFT Partner States IllinoisMichigan IndianaMissouri KansasNebraska Wisconsin

6. WeedSOFT Bioeconomic Decision Groundwater Vulnerability Groundwater Risk Assessment Weed Identification

7. EnviroFX Site and product specific assessment of groundwater contamination risk

9. MapVIEW Color coded county maps depicting vulnerability of groundwater to contamination

11. WeedVIEW Visual images as an aid in weed identification

13. Advisor Computes crop yield and dollar loss based on weed density, weed free yield and crop price

14. Weed Management Strategies Cultivation Pre herbicide Post herbicide Combined strategies

15. Treatment Selection Criteria Geographical restrictions Soil properties Rotational crop Ground and surface water restrictions Crop and weed growth stage

16. ADVISOR Evaluation of pre, post, pre+post weed management strategies in five crops: corn, sorghum, soybeans, sugarbeets, wheat

17. State Specific Parameters Herbicides Soil Properties Herbicide Efficacy Rotational Restrictions Application Rates Geographical Restrictions Weed Species Weed Competitive Index

18. Input application information

19. Input crop information

20. Input environmental information

21. Input weed information

22. Output Ranking of strategies based on net return or yield Detailed economic and efficacy analysis of treatments Change in weed seed bank with each treatment

23. Treatment Ranking and Analysis Seedbank change

24. WeedSOFT as a Teaching Tool

25. Biological Factors Crop and weed species competitiveness Influence of crop and weed growth stage on crop-weed interference Influence of crop row spacing on crop competitiveness Influence of precipitation on herbicide efficacy and rotational crop risk

26. 17.2/40 = 43% Corn, Weed free yield = 150 bu/A Soybeans, Weed free yield = 40 bu/A 17.5/150 = 12% Crop Species Competitiveness

27. Corn 0-5” height; weed free yield = 150 bu/A 17.5/150 = 12% 8.9/150 = 6% Weed Species Competitiveness Common cocklebur Redroot pigweed

28. Corn 0-5” height; Weed free yield = 150 bu/A 17.5/150 = 12% Weed Competitiveness Based on Weed Height Cocklebur 2-4” height Cocklebur 4-8” height 25.1/150 = 17%

29. Corn 0-5” height 17.5/150 = 12% Weed Competitiveness Based on Crop Height 11.4/150 = 7.6% Corn 6-12” height Corn weed free yield = 150 bu/A

30. Soybeans 1st trifoliate; weed free yield = 40 bu/A Weed Competitiveness Based on Row Spacing 30” Row Spacing 7.5” Row Spacing 12.1/40 = 30% 9.9/40 = 25%

31. Corn 0-5”; Weed free yield = 150 bu/A Cocklebur 2-4” Herbicide Efficacy Based on Moisture Moisture Stressed Excellent Moisture 77.9% % Control 100%

32. Corn 0-5”; weed free yield = 150 bu/A Cocklebur 2-4” Cultivation Efficacy Based on Moisture Moisture Stressed Excellent Moisture 72.4 % 54.9 % % Control

33. Missouri WeedSOFT Decision Support System Teaching/Learning Tool Available in 2002 on CD-Rom –Initial price $195 –Yearly updates will be $35-50 WeedSOFT website –http://weedsoft.unl.edu

34. Missouri WeedSOFT To order: –Make checks payable to WeedSOFT 2002 –Send to : Bulletins, P.O. Box 830918, Lincoln, NE 68583-0918

35. WeedSOFT A State Specific Decision Support System for Weed Management