Field, vegetation, and product performance analytics
We support field, greenhouse, and controlled-environment experiments focused on crop and vegetation response to fumigants, fungicides, pesticides, and management strategies.
- Experimental design and power / replication assessments
- ANOVA and mixed models for multi-site, multi-year, and split-plot designs
- Response ratios (logRR), dose–response modeling, and treatment ranking
- Linking vegetation metrics (growth, physiology, yield) to management and environment
Microbial and soil system interpretation
Many clients already work with platforms that process sequencing data and return rich microbiome and soil function outputs. Gradient focuses on interpreting these outputs in the context of vegetation and management.
- Integration of vendor microbiome outputs (e.g., Biome Makers) with field data
- Biodiversity metrics, functional scores, and time-series trajectories
- Relating microbial changes to vegetation performance, disease, and soil health
- Visualizations that communicate complex patterns to non-specialist teams
Note: Gradient does not currently run raw ITS/16S sequencing pipelines in-house, and instead works with processed outputs provided by sequencing and microbiome service providers.
Climate, pest, and geospatial modeling
We connect trial and vegetation data to the climate and spatial context in which they occur, from local weather records to global climate projections.
- Use of reanalysis and climate projection datasets (e.g., ERA5, CMIP6) for risk assessment
- Pest and pathogen survival modeling based on temperature and phenology rules
- Species and vegetation distribution modeling across environmental gradients
- Spatial aggregation to county or management zones, including GIS-ready layers
Systems modeling and structural equation models
When multiple components interact — chemistry, microbiome, soil properties, vegetation, and yield — structural equation modeling (SEM) and related tools can clarify pathways and indirect effects.
- Conceptual model development with research and product teams
- SEM and path analysis to separate direct and indirect effects
- Linking ecophysiology, microbiome metrics, and outcomes
- Effect size, uncertainty, and communication of key pathways
Decision and publication support
Gradient bridges analytics and communication, helping teams move from raw data to internal decisions and external publications.
- Technical reports and internal white papers for R&D and stewardship
- Manuscript-style figures and tables for peer-reviewed or industry publications
- Methods and statistics review for study proposals and draft manuscripts
- Interactive exploration (R, R Shiny; other platforms by arrangement)
Gradient provides quantitative analyses and documentation that can support stewardship, internal decision-making, and regulatory workflows, typically in partnership with clients’ internal regulatory and compliance teams.