Claim · model-written summary
Predictive agro-climatic models are expected to increase crop yields and reduce cultivar-development time and costs.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Verbatim
e0“Predictive agro-climatic models are proving beneficial to the crop agriculture sector: they are expected to increase yields and reduce the time and costs involved in the development or identification of commercially viable salt-tolerant cultivars.”
Title
Javier Santos del Río; Alicia Talavera; Noé Fernández-Pozo; et al. Journal of Experimental Botany 2025. doi:10.1093/jxb/eraf498
Other claims from this paper (5)
- Method / resource Early mono-omics predictive analyses illuminated plant salt-adaptation mechanisms.
- Method / resource AI enabled combined analysis of multi-omics and plant stress response parameters.
- Method / resource AI enabled high-throughput phenotyping to predict crop salt stress and assess growth.
- Method / resource Sequence language models identified complex patterns in protein and nucleic acid sequences.
- Method / resource Protein language models gave satisfactory results identifying salt-stress-related post-translational modifications.