Influence of Sowing Date on Yields of Fresh-harvested Chickpea
Bibliographic record
Abstract
Chickpea is the main pulse crop in Israel, covering about 10 000 ha. In order to increase the cultivation area ofthis crop, efforts have been made to develop agro-techniques for the fresh (immature green) harvesting chickpea.The objective of this study was to determine the effects of five sowing dates on the fresh and dry yields of twoimportant Israeli chickpea cultivars, Zehavit and Bar. A field test conducted during the 2007-2008 winter seasonemployed a split-plot design, in which the first and the second factors were sowing date and cultivar,respectively. The fresh yield, percentage of waste, expected fresh yield, intermediate dried yield and final dryyield were calculated for each plot. Cultivar Zehavit was superior to cv. Bar in terms of all of these parameters,except final dry yield. Thus, cv. Zehavit is the better cultivar for production of fresh-harvested chickpea, due toits ability to produce high yields of fresh seed with a lower percentage of waste. Our results indicate that somechickpea cultivars can be commercialized for production of the fresh-harvested crop in semi-arid climates.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".