Corn Algorithm Comparisons, NUE Workshop

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Corn Algorithm Comparisons, NUE Workshop
CIMMYTUniversity of NebraskaUniversity of
MissouriUniversity of MinnesotaKansas State
UniversityLSUIowa State UniversityOhio State
UniversityVirginia Tech
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Variables Employed
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• 586 farmers fields

2007-2008 (3000-4000, N Rich or Ramps)
Danny Peeper, Wheeler Brothers (gt500, 2006
800, 2007)
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Yield Potential Prediction, Corn, Ohio
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Yield Potential Prediction, Winter Wheat, Oklahoma
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Predicting N Responsiveness
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Lahoma, OK, Winter Wheat
Exp. 502, 1971-2007N rate (N uptake 100 lb/ac
- N uptake 40 lb/ac)/0.5
Optimum N Rate (assuming 40 lbs N/ac preplant)
Average YieldAvg. 60 N/ac
42.8 bu/ac
/- 12.7Avg. Loss 27.5/acre (N at 0.70/lb)
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Mead, NE, 1969 - 1983
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Data compiled by Dr. Robert Mullen, The Ohio
State University
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Data compiled by Dr. Robert Mullen, The Ohio
State University
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Home Run 4
In field double-triple 12 Pop fly-out 25
In-field single 25In-field out 15
Pop-up out 10In-field grounder 9
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SBNRC (YP0RI YPN)100 Pre (100 lbs N/ac
applied preplant)
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Check yield RI Difference in N uptake (optimum
N rate observed check yield N uptake)/0.5
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Adjusting NUE
CORN
WHEAT
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Conclusions

• Soil moisture at sensing
• Soil temperature
• Climatological probability
• Combining components
• Predicting mid-season NUE

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