Claim · model-written summary
PROSAIL under-estimated leaf chlorophyll content, with a weakly significant trend.
- Taxon
- spring wheat
Triticum aestivume1 - Outcome
- leaf chlorophyll contente2
- Direction
- under-estimatee2
- Qualifier
- weakly significant trende2
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“leaf chlorophyll content of spring wheat (Triticum aestivum L.)”
e2“There was a weakly significant trend for the PROSAIL model to over-estimate LAI and under-estimate leaf chlorophyll content”
Title
E. J. Botha; B. Leblon; B. J. Zebarth; et al. International Journal of Remote Sensing 2010. doi:10.1080/01431160902926574
Other claims from this paper (6)
- Observation PROSAIL over-estimated leaf area index, with a weakly significant trend.
- Observation Estimation accuracy for canopy chlorophyll content was generally low earlier in the growing season.
- Method / resource The canopy chlorophyll content parameter was predicted more accurately than leaf chlorophyll content alone at booting.
- Mechanism The failure of PROSAIL to estimate leaf and canopy variables may be due to model sensitivity to canopy architecture.
- Association Canopy chlorophyll content and canopy N content were strongly related at ZGS 45.
- Recommendation PROSAIL may be used as a tool to predict wheat N status from canopy reflectance measurements at booting or later.