Effect of Plant Density on the Water Use Efficiency and Quality of Potato (Solanum tuberosum L. Cv. Spunta) in the Jordan Valley
Bibliographic record
Abstract
Plant density affected yield, quality and water use efficiency. Little information describing plant density to optimize yield and quality of potato production is available in the Jordan Valley. This study was aimed to investigate the effects of plant density on the yield and yield components of the potato (Solanum tuberosum L.) cultivar “Spunta” grown in the middle of the Jordan Valley. Five different densities of plants (41,600 plants ha-1 (D1), 56,000 plants ha-1 (D2), 83,200 plants ha-1 (D3), 28,000 plants ha-1 (D4), and 41,600 plants ha-1 (D5) were randomly distributed over five replicate sites during the growing season from November 2013 to March 2014. Plant height, number of branches, fresh and dry weight of potato plants, tuber number, tuber weight, total yield, specific gravity and water use efficiency of potato plant grown under different plant density were measured. It was found that the productivity of potato increased with increasing plant density, with the highest total, marketable, and non-marketable yields being obtained at densities of 83,200 seeds ha-1, and the lowest occurring at 41,600 seeds ha-1, which equated to total fresh yields of 45.1 and 25.3 tons ha-1, respectively. The highest water use efficiency for marketable yield (11.9 kg m-3) was obtained at a density of 83,200 seeds ha-1, whereas the lowest water use efficiency (7.5 kg m-3) was obtained at a density of 41,600 seeds ha-1. The specific gravity ranged from 1.04 to 1.08 and the average tuber weight ranged from 77.02 g at a density of 83,200 seeds ha-1 to 115.84 g at a density of 28,000 seeds ha-1.
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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 | 0.007 | 0.001 |
| 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".