Claim · model-written summary
The authors propose the model data fusion approach for guiding adaptive cover crop and nitrogen fertilizer management.
- Taxon
- corn
Zea mays subsp. mayse0
- Outcome
- adaptive management of CCs and N fertilizer applicationse0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the model–data fusion approach could be widely used to guide adaptive management of CCs and N fertilizer applications in a subsequent corn crop”
Title
A Model–Data Fusion Approach for Predicting Cover Crop Nitrogen Supply to Corn
Charles M. White; Denise M. Finney; Armen R. Kemanian; et al. Agronomy Journal 2016. doi:10.2134/agronj2016.05.0288
Other claims from this paper (8)
- Method / resource The parsimonious model explained 82% of corn yield response variation.
- Observation Model parameters suggested all winterkilled cover crops caused net nitrogen mineralization.
- Method / resource The model assigned a C humification coefficient of 0.40 to winter hardy cover crop residues.
- Association Yield response per potentially mineralized nitrogen was greater for winter hardy than winterkilled cover crops.
- Method / resource With tillage, winter hardy cover crops had a modeled response coefficient of 0.034.
- Method / resource Without tillage, winter hardy cover crops had a modeled response coefficient of 0.020.
- Method / resource Winterkilled cover crops had a modeled response coefficient of 0.0084.
- Association Preemptive competition for soil nitrate reduced corn yield response.