Survey average yield from the same official tables that publish farm prices, plus FAOSTAT national averages for tropical crops with no US/Canada commercial scale. This is the revenue-per-acre baseline. It is not a fertilizer or cultivar trial and is never taken from yield_elements control-group values.
| Source | Obs. | Quar. | Document | SHA-256 |
|---|
Dedicated table — StatCan / NASS / FAOSTAT, not yield_elements controls. Tiers A / A / B.
| Source | Publisher | Table | Scope | Tier | Crops | Status | Climate | Transferability |
|---|
geographic_scope: non_US (tier B).
Plantains are not bananas. Macadamia has no FAOSTAT item.unspecified, never treated as direct.Select a crop, a baseline that actually exists for it, and at most one intervention per variable group. Confidence is the lowest tier in the chain. A missing price or yield is named, not filled in.
Radio within a variable group. Combining two groups still computes, then drops overall confidence one tier and states the independence assumption.
value_added_pathways has not been ingested. No processed-revenue figure is shown. This panel will not invent a processing margin from raw vs retail prices.
Build tools and provenance. They are not the crop evidence table.
Every enterprise × intervention category is tracked, including categories not yet searched. A gap is not a null effect.
| Enterprise | Production system | Category | Search status | Searches | Included | Priority | Research note | Supplementary search links |
|---|
Meta-analysis → systematic review → experiments → dose-response → trade-offs → interactions → Alberta/Canadian evidence → economics.
Unreported values remain null. Every quantitative claim needs a source, comparator, unit and traceable study record.
No enterprise is marked complete until all applicable categories and search passes are verified.
Bounded records for the crop enterprises represented on this page, screened individually from authoritative literature. Abstract-only findings are shown as reported; unreported quantities remain null.
For canola, the evidence layer follows a literature-sourced process: identify modifiable factors, preserve their conditions and interactions, then connect agronomic responses to economic evaluation without turning the page into a recommendation engine.
Compare multi-year farm records, yield maps and soil data with attainable yields and management gaps at similar Prairie sites.
Track nutrients, establishment, genetics, rotation, harvest, pest management and precision practices; exclude non-modifiable seasonal extremes from intervention lists.
Record yield, quality, cost and net-return responses from meta-analyses, multi-site trials and AAFC or university research.
Use partial budgets and sensitivity ranges for price ratios, input costs and yield responses rather than single-point assumptions.
Prefer randomized strips or management-zone comparisons; measure density, disease, yield components and net return across sites and years.
Update evidence as hybrids, resistance durability, economic optima and precision-ag results change under Prairie conditions.
This workflow preserves the supplied claims as synthesis context until each study, source URL and effect estimate is verified. No composite score, causal claim or potential_yield_effect is calculated here.
The database follows enterprise → category → factor → intervention → outcome → source. Evidence strength and Prairie relevance remain separate dimensions. Search gaps, null findings and trade-offs are retained rather than converted into recommendations.