Claim · model-written summary
Validation accepted the null hypothesis for all prediction models.
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Verbatim
e0“the null hypothesis ( β ₀ = 0 and β ₁ = 1) was accepted for all prediction models”
Title
Prediction of organic acid concentration in BRS Capiaçu elephant grass silage
Isadora Osório Maciel Aguiar Freitas; Antonio Leandro Chaves Gurgel; Vitor Cardoso Queiroz; et al. Grassland Science 2025. doi:10.1111/grs.70019
Other claims from this paper (9)
- Method / resource The best lactic acid model used dry matter alone and reached R2 0.98 and RMSPE 1.52.
- Method / resource The best acetic acid model used pH and quadratic pH and buffering capacity terms, with R2 0.73 and RMSPE 0.98.
- Method / resource The butyric acid model used crude protein and buffering capacity, with R2 0.51.
- Method / resource The propionic acid model used organic matter, buffering capacity and quadratic soluble carbohydrate term, with R2 0.75.
- Recommendation The authors consider the lactic acid model suitable for field use.
- Recommendation The authors urge caution with the butyric acid model.
- Method / resource Selected prediction models showed accuracy and precision, with correlation and agreement coefficients at least 0.70 for most models.
- Method / resource Prediction errors were low for the selected models.
- Method / resource The authors conclude silage organic acids can be estimated from pH and chemical composition.