Effect of seeding date and rate on desi chickpea in southern Alberta
Bibliographic record
Abstract
Field trials were conducted at 12 location-years (sites) over a 4-yr period (2000–2003) to determine the response of desi chickpea (Cicer arietinum L.) to seeding date and rate in southern Alberta. Desi chickpea, cv. Myles, was planted on three dates at approximately 10-d intervals at target plant densities of 20, 40, 60, 80 and 100 plants m -2 . Seed yields were close to maximum at seeding dates ranging from late April till mid-May, but further delays in seeding resulted in modest yield declines at two sites during the drought years and large yield declines at two sites in the wet year. The economic optimum plant density for desi chickpea increased with moisture availability, from 26 to 79 plants m -2 . Under typical conditions in southern Alberta, optimum yields of chickpea were obtained with seeding dates prior to May 15 and seeding rates of 30 to 40 plants m -2 . Key words: Cicer arietinum, yield, planting, sowing
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".