Claim · model-written summary
Biostimulant-treated fields correlated with better plant development and crop performance.
- Taxon
- plante0
- Treatment
- biostimulant-treatede0
- Outcome
- plant development and crop performancee0
- Direction
- bettere0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingValueQualifier
Verbatim
e0“biostimulant-treated fields correlate with better plant development and crop performance”
Title
A multi-attribute approach to evaluating the impact of biostimulants on crop performance
Rodrigo Mendes; Inácio de Barros; Paulo Antônio D’Andréa; et al. Frontiers in Plant Science 2023. doi:10.3389/fpls.2023.1214112
Other claims from this paper (12)
- Intervention effect Biostimulant use changed bacterial and fungal community structure across all evaluated crops.
- Observation Prevotella was the most responsive bacterial taxon in cotton rhizospheres.
- Observation Prauserella and Methylovirgula were the most responsive bacterial taxa in corn rhizospheres.
- Observation Methylocapsa was the most responsive bacterial taxon in sugar cane rhizospheres.
- Observation Arachnomyces was the most responsive fungal taxon in soybean and cotton.
- Observation Rhizophlyctis was the most responsive fungal taxon in corn.
- Method / resource Integrated indicators gave a positive impact index averaging 0.80.
- Method / resource Soil biology indicators averaged 0.84.
- Method / resource Crop production indicators had an index of 0.81.
- Method / resource Soil compaction reduction had an index of 0.81.
- Method / resource Chemical fertility indicators had an index of 0.75.
- Method / resource The multi-attribute approach was judged effective for assessing biostimulants across crops and production systems.