Conservation Tillage Systems for Processing Tomato Production
Bibliographic record
Abstract
Processing tomatoes ( Lycopersicon esculentum Mill.) are grown on ≈6000 ha in southwestern Ontario. Field experiments were conducted in 1998 and 1999 at two locations to explore the potential of alternative tillage practices (conventional, disked, zone-till, and no-till) on growth, development, yield and quality of tomatoes. Growth measurements of leaf number, plant height, stem diameter, total aboveground dry weight, and LAI did not differ with tillage system. Rye ( Secale cereale L.) used as a cover crop did not influence tomato growth or development. Yield differences ( P < 0.05) were not observed for red and green tomato fruit harvested in the conventional, disked or zone-tillage treatments. Yield reductions ( P < 0.05) were observed however, for both red and green fruit with no-tillage. The delay in crop maturity associated with no-till reduced the potential for the application of this tillage practice for tomato production. Tomato postharvest quality did not differ among tillage systems. Zone-tillage was found to be a viable alternative to the moldboard plow as a primary tillage practice for the production of processing tomatoes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".