Claim · model-written summary
All three models gave similar economic net returns across years.
- Taxon
- corn
Zea mays subsp. mayst0 - Outcome
- economic net returnse0
- Direction
- similare0
- Comparator
- all three modelse0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“all three models resulted in similar economic net returns across study years”
t0“corn”
Title
Determining corn nitrogen rates using multiple prediction models
Jeff Rutan; Kurt Steinke Journal of Crop Improvement 2017. doi:10.1080/15427528.2017.1359715
Other claims from this paper (7)
- Method / resource Adapt-N raised V8 sidedress nitrogen rates by 35 kg N ha−1 in wet 2015.
- Method / resource Yield did not differ statistically between Adapt-N and MRTN.
- Method / resource MRTN increased partial factor productivity by 20% relative to Adapt-N.
- Method / resource The sensor model reduced total nitrogen rates by 21–56 kg N ha−1 compared with other models.
- Method / resource The sensor model reduced yield by 0.82–1.05 Mg ha−1 compared with other models.
- Observation Drier 2016 had an EONR 64 kg N ha−1 below 2015.
- Method / resource Corn responded similarly to all three models in 2016.