The heteroskedastic gamma regression model outperformed the other models for explaining sugarcane yield variability in commercial fields, with R2 of 0.89.

Claim · model-written summary

The heteroskedastic gamma regression model outperformed the other models for explaining sugarcane yield variability in commercial fields, with R2 of 0.89.

Taxon

sugarcanee0

Outcome

explaining yield variabilitye0

Direction

outperformede0

Value

0.89e0

Comparator

other methodse0

Setting

commercial sugarcane fieldse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentQualifier

Verbatim

e0

“The results indicate that the heteroskedastic gamma regression model outperformed the other methods in explaining yield variability, particularly in commercial sugarcane fields, achieving a Coefficient Determination (R2) of 0.89.”