Claim · model-written summary
A model combining vegetative and grain-filling spectral reflectance was among the best under terminal heat stress.
- Taxon
- wheat
Triticum aestivumt0 - Treatment
- terminal heat stresse0
- Outcome
- performed beste0
- Direction
- beste0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Under terminal heat stress, three models performed best: one incorporating genotype by environment interaction, one using vegetation indices during the vegetative stage, and one integrating spectral reflectance data from both the vegetative and grain-filling phases.”
t0“wheat”
Title
Guillermo García‐Barrios; Carlos A. Robles‐Zazueta; Abelardo Montesinos‐López; et al. The Plant Genome 2025. doi:10.1002/tpg2.70110
Other claims from this paper (7)
- Method / resource Grain-filling spectral vegetation indices gave the most accurate wheat yield prediction in five-fold validation.
- Method / resource Days to heading gave the best model performance under irrigation in leave-one-environment-out validation.
- Method / resource Vegetative-stage vegetation indices gave the most accurate model under drought stress.
- Method / resource A genotype by environment interaction model was among the best under terminal heat stress.
- Method / resource A vegetative-stage vegetation index model was among the best under terminal heat stress.
- Method / resource Multiple covariates can improve prediction accuracy or reduce normalized root mean square error.
- Recommendation The authors advise against using all available covariates because gains are marginal and phenotyping costs and analytical complexity rise.