Claim · model-written summary
The most profitable nitrogen strategy did not depend on precipitation data source.
- Taxon
- corn
Zea mays subsp. mayse1 - Outcome
- most profitable strategye0
- Direction
- not dependente0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The most profitable strategy was not dependent on the data source”
t0“crop yield”
e1“by corn and soybean phenological phase”
Title
M. R. O'Neal Purdue e-Pubs (Purdue University System) 2000
Other claims from this paper (10)
- Method / resource The best neural net had an overall yield prediction error of 11.9%.
- Method / resource Farm scale yield error was 10.9%.
- Method / resource County scale yield error was 10.5%.
- Method / resource State scale yield error was 7.9%.
- Observation Spatial precipitation variability among farm gauges was 0.25 to 1.73 mm·day−1.
- Observation Temporal precipitation variability was 0.17 to 3.40 mm·day−1.
- Observation Spatial variability was below temporal variability and frequently below 1 mm.
- Method / resource Simulated corn yield differed by 15.8% across precipitation sources.
- Method / resource Simulated yield differed from the long term mean by 21.5%.
- Observation Using the nearest NWS station was more profitable than measuring precipitation on site.