Evapotranspiration efficiency of pea in south and central Alberta
Bibliographic record
Abstract
Evapotranspiration (ET) efficiency regulates suitability and management of crops on the Canadian prairies. To evaluate the ET efficiency of pea (Pisum sativum L.), soil water depletion and yields as a function of precipitation were determined for Carneval pea at 28 sites in south and central Alberta from 1995 to 1998. Soil water depletion between seeding and harvest was as high as 112 mm at sites with high levels of available soil water at seeding and low to moderate levels of precipitation. Pea was capable of extracting soil water to a depth of about 0.6 m at most sites, but extraction of soil water below this depth was much more variable. At sites where soil water did not limit the depth of soil water extraction, a negative correlation was observed between the maximum depth of effective soil water extraction and the sum of maximum temperature degree-days above 25.6°C. The ET efficiency of pea seed yield ranged from 7.5 to 19.1 kg ha-1 mm-1, with an average value of 13.0 kg ha-1 mm-1. No correlation was observed between ET efficiency and weather variables, such as average temperature, vapor pressure deficit or length of the growing season. Key words: Pisum sativum, water use efficiency, root depth, drought stress
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".