Growth and vegetable yield of <i>Amaranthus hybridus</i> L. as impacted by harvest methods in southern Ontario, Canada
Bibliographic record
Abstract
Amaranthus hybridus L. is a nutritious leafy vegetable amaranth species grown primarily in tropical regions. Weedy amaranth species thriving in southern Ontario suggest the edible biotype could also grow efficiently as a crop. Field trials in Guelph, Simcoe, and Stouffville, Ontario, examined yield in response to three harvest frequencies (weekly, every 2 wk, and every 3 wk) cut at 15 cm above ground level, using two traditional harvest practices (Afro-Caribbean and European) cut every 2 wk, and a control which was not cut until the final harvest. The highest marketable yields and quality measures were observed in plants cut every 2 wk, every 3 wk, and using the Afro-Caribbean cutting technique which selects and harvests thicker stems while leaving new shoots for later harvests. The difference in growth among sites suggests plants prefer warm, well-drained soil. Marketable yield was as high as 4.02 ± 0.340 kg m−2 in Simcoe with an average yield across all three sites of 2.37 ± 0.229 kg m−2. This demonstrates that A. hybridus has the potential to be grown as a vegetable crop in southern Ontario and that marketable yield can be optimized by method of harvest.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".