Potato (Solanum tuberosum L.) and Sulla (Hedysarum coronarium L.) Intercropping in Tunisia: Effects in Water Consumption and Water Use Efficiency
Bibliographic record
Abstract
This experiment was carried out at the Technical Center of Potato (C.T.P) situated in the low valley of Medjerda river at Tunisia, during two growing seasons (2006-2007) and (2008-2009). It aims at evaluating the effect of intercropping potato (Solanum tuberosum cv. Spunta) and sulla (Hedysarum coronarium L. cv. Bikra 21) grown under 1:1 intercropping row arrangement and sole cropping on water consumption and water use efficiency of one potato variety and one sulla variety. In addition, land equivalent ratio (LER) was determined to assess the efficiency of the intercropping system. Intercropping had no significant effect on the above parameters and tuber dry biomass production of potato and sulla. However, it increased the total dry biomass of the intercropping system. This increase occurred during the two cultivating seasons of 2007 and 2009 respectively from 12.5 to 14.8% compared to the potato in sole cropping. Intercropping has led to a similar reduction of water consumption (WC) of both crops. This reduction was 36 and 28% for 2007 and 2009 seasons respectively and for both crops. However, intercropping has led to an increase in the overall (WC) of the mixed system by 9.1 and 13.8% in 2007 and 2009 respectively. Water Use Efficiency (WUE) has been improved from 35.4 to 45.6% for potato in sole intercropping and from 25 to 37.5% for sulla intercropped. The values of total LER were higher than one, which indicates the superiority of intercropping system over the sole cropping system.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".