Method / resourcemodel-written summary

Models reproduced temporal yield variability for soybean with correlation up to 0.643.

A claim from Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications · 2017

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

Models reproduced temporal yield variability for soybean with correlation up to 0.643.

Taxon
soybeanGlycine maxe0
Outcome
time series correlation coefficients (r)e0
Value
0.643e0
Comparator
observed temporal variabilitye0
Setting
global scalee0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentDirectionQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e0

“maize, wheat and soybean simulations of many GGCMs are capable of reproducing larger parts of observed temporal variability (time series correlation coefficients (r) of up to 0.888 for maize, 0.673 for wheat and 0.643 for soybean at the global scale)”

✓ located verbatim in the source · abstract, characters 839–1089

Title

Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications

Christoph Müller; Joshua Elliott; James Chryssanthacopoulos; et al. Geoscientific model development 2017. doi:10.5194/gmd-10-1403-2017

Other claims from this paper (10)

Record rev-0fe320c2918ef24991608c673dc22812895e31485d0c42a35d748cd3db25617e · schema claims-v0.9 · position 3 in the model’s answer