1 Economic Analysis of Control Options for the Western Corn Rootworm Soybean Variant in Southern Wisconsin Paul D. Mitchell Agricultural and Applied Economics.

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Presentation transcript:

1 Economic Analysis of Control Options for the Western Corn Rootworm Soybean Variant in Southern Wisconsin Paul D. Mitchell Agricultural and Applied Economics University of Wisconsin-Extension Johnstown, WI and Burlington, WI December 8, 2004

2 Goal of Analysis Estimate the $/ac Net Benefit for a seed treatment, soil insecticide, and YieldGard Rootworm in first year corn Estimate the $/ac Net Benefit for a seed treatment, soil insecticide, and YieldGard Rootworm in first year corn Convert beetles/trap/day from Soybean Trapping Network into $/ac Net Benefit Convert beetles/trap/day from Soybean Trapping Network into $/ac Net Benefit Costs: use Peg Reedy’s work Costs: use Peg Reedy’s work Benefits: more difficult—link entomology field research and economics Benefits: more difficult—link entomology field research and economics

3 Step 1 Convert beetles/trap/day into expected root rating (1-6 scale) the following year, assuming no rootworm control is used Convert beetles/trap/day into expected root rating (1-6 scale) the following year, assuming no rootworm control is used An estimate of larval pressure next year An estimate of larval pressure next year Use O’Neal et al. (2001) formula estimated using IL data from Use O’Neal et al. (2001) formula estimated using IL data from RR no = x (beetles/trap/day)

4 Step 2 Estimate expected root rating for each control method based on RR no Estimate expected root rating for each control method based on RR no How much less is the RR with control? How much less is the RR with control? Use field trial data from all around Midwest ( ) Use field trial data from all around Midwest ( ) Add in more recent IL and WI data Add in more recent IL and WI data RR SeedTrt = x (RR no – 1) RR SoilIns = x (RR no – 1) RR YldGard = x (RR no – 1)

5 Step 3 Convert root ratings into % yield loss Convert root ratings into % yield loss Based on Mitchell, Gray and Steffey (2004), but updated method and data Based on Mitchell, Gray and Steffey (2004), but updated method and data %YL = x (RR – 1) %YL = x (RR – 1) Meaning: each 1 unit increase in the root rating implies 6.3% more yield loss Meaning: each 1 unit increase in the root rating implies 6.3% more yield loss Calculate %YL for No Control, Seed Treatment, Soil Insecticide, and YieldGard Rootworm Calculate %YL for No Control, Seed Treatment, Soil Insecticide, and YieldGard Rootworm

6 Step 4 Calculate the Net Benefit Calculate the Net Benefit Benefit: (%YL no - %YL treated ) x price x yield Benefit: (%YL no - %YL treated ) x price x yield Gives $/ac gained by using the treatment Net Benefit: Subtract the treatment cost Net Benefit: Subtract the treatment cost Example: 11% yield loss with no control, 6% with a treatment, Benefit = 5% yield gain x $2/bu x 125 bu/ac = $12.50/ac Example: 11% yield loss with no control, 6% with a treatment, Benefit = 5% yield gain x $2/bu x 125 bu/ac = $12.50/ac Cost is $10/ac, so Net Benefit is $2.50/ac Cost is $10/ac, so Net Benefit is $2.50/ac

7 Show results today for a range of assumptions Expected yield: 120, 135, 150 bu/ac Expected yield: 120, 135, 150 bu/ac Corn price: $1.90/bu, $2.05/bu, $2.20/bu Corn price: $1.90/bu, $2.05/bu, $2.20/bu Show results for three different densities Show results for three different densities 2.5 Beetles/Trap/Day (Kenosha County) 2.5 Beetles/Trap/Day (Kenosha County) 3.75 Beetles/Trap/Day (Rock County) 3.75 Beetles/Trap/Day (Rock County) 5 Beetles/Trap/Day (Walworth County) 5 Beetles/Trap/Day (Walworth County)

8 Summary of Soybean Trapping Network Data

9 Net Benefit ($/ac) vs No Control with different planting densities 2.5 Beetles/Trap/Day (Kenosha County)

10 Net Benefit ($/ac) for Each Control Method vs No Control with different planting densities 3.75 Beetles/Trap/Day (Rock County)

11 Net Benefit ($/ac) for Each Control Method vs No Control with different planting densities 5.0 Beetles/Trap/Day (Walworth County)

12 Main Point On average, seed treatments generally do not seem to create enough benefit to justify their cost On average, seed treatments generally do not seem to create enough benefit to justify their cost Soil insecticide or YieldGard RW generally seem justified in Walworth and eastern/southeastern Rock County, especially for fields with high average yields and/or high price Soil insecticide or YieldGard RW generally seem justified in Walworth and eastern/southeastern Rock County, especially for fields with high average yields and/or high price

13 Caveat: Analysis based on averages Average RR based on beetles/trap/day Average RR based on beetles/trap/day Sometimes high beetles ≠ high RR, but on average it does Sometimes high beetles ≠ high RR, but on average it does Average RR decrease for each control method Average RR decrease for each control method Sometimes Soil Insecticide outperforms YieldGard in terms of RR, but on average YieldGard does a little better Sometimes Soil Insecticide outperforms YieldGard in terms of RR, but on average YieldGard does a little better Average yield loss based on RR Average yield loss based on RR Sometimes high RR ≠ high loss, but on average it does Sometimes high RR ≠ high loss, but on average it does Average yield and price Average yield and price Data show tremendous variation around averages Data show tremendous variation around averages $0/ac Net Benefit means you win ½ the time and you lose ½ the time $0/ac Net Benefit means you win ½ the time and you lose ½ the time

14 What’s missing? 1. Uncertainty: typically increases beetle/trap/day threshold because risk of wasted money exceeds risk of untreated loss 2. Cost and control benefits for Lodging 3. Cost of Refuge for YieldGard RW 4. Added harvest & drying costs with higher yields 5. Non-financial costs of insecticides and associated benefits of YieldGard RW and seed treatments

15 Spreadsheet Available Paul D. Mitchell (608) Contact Information Internet: Internet: me: me: On disk today On disk today

16 Source: Dr. Eileen Cullen, UW-Entomology