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

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Presentation transcript:

Bill Johnson University of Missouri

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

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

Development Team Weed Scientists Information systems specialist Listening group-Users

WeedSOFT Partner States IllinoisMichigan IndianaMissouri KansasNebraska Wisconsin

WeedSOFT Bioeconomic Decision Groundwater Vulnerability Groundwater Risk Assessment Weed Identification

EnviroFX Site and product specific assessment of groundwater contamination risk

MapVIEW Color coded county maps depicting vulnerability of groundwater to contamination

WeedVIEW Visual images as an aid in weed identification

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

Weed Management Strategies Cultivation Pre herbicide Post herbicide Combined strategies

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

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

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

Input application information

Input crop information

Input environmental information

Input weed information

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

Treatment Ranking and Analysis Seedbank change

WeedSOFT as a Teaching Tool

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

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

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

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%

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

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%

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%

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

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 –

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

WeedSOFT A State Specific Decision Support System for Weed Management