Claim · model-written summary
Remote sensing applied to yield gap analysis has improved over recent years, mainly through pixel-based biomass production models.
- Taxon
- field cropst0
- Outcome
- Remote sensing applied to yield gap analysise5
- Qualifier
- mainly through pixel-based biomass production modelse5
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValue
Verbatim
e5“Remote sensing applied to yield gap analysis has improved over the last years, mainly through pixel-based biomass production models”
t0“field crops”
Title
Yield gap analysis of field crops: Methods and case studies
Víctor O. Sadras; Kenneth G. Cassman; Patricio Grassini; et al. Lincoln (University of Nebraska) 2015
Other claims from this paper (6)
- Recommendation Shape and parameters of boundary functions should be assessed on the basis of their biophysical meaning.
- Recommendation Simulations with gridded weather databases should be validated against simulated yields based on station weather data.
- Recommendation Site-specific yield validation remains necessary and should be carried out every 5 to 10 years.
- Observation Comparing actual yield with the best yield in comparable conditions can be biased where best management practices are not feasible, and modelled yields then give more relevant benchmarks.
- Observation The accuracy of yield gap estimates is determined by the quality of sub-national actual yield data.
- Observation The gap between potential and water-limited yield indicates yield gap that can be removed with irrigation.