Investigation of the Effect of Sulfonated Silicon Nutrient Solution With Elemental Sulfur S-8 on Agronomic Traits of New Potato Cultivars
Bibliographic record
Abstract
This objective of this study is to optimize the farm management for improving tuber yield per unit area and improving the quality of potato tubers, which can play an effective role in ensuring food security. One of the most important factors in improving the quantity and quality of the product is the proper application of agricultural inputs such as nutrition and nutrient solution. In this study, the effect of sulfonated silicon nutrient solution with S-8 elemental sulfur on new potato cultivars was investigated in Ardabil Potato Research Station during 2021. This study was performed based on factorial experimental design in three replications. The first factor includes the use of nutrient solution in four levels: (1) spraying with a dose of 3 liter nutrient solution in 1000 liters of water in tuberization start, tuberization and tubers bulking stages; (2) treating with 2 kg per 200 liters of water per hectare in first, third, fifth and seventh irrigation stages; (3) foliar spraying with a dose of 3 per thousand in tuberization start, tuberization and tubers bulking stages and use of 2 kg per 200 liters of water per hectare in the first, third, fifth and seventh stages of irrigation; and (4) control. The second factor included five potato cultivars (Agria, Marfona, Rosa, Rona and Takta). During the growth period, plant height, number of main stems per plant, tuber number and weight per plant and tuber yield were measured. The results indicated that Takta, Rona and Agria cultivars had the highest amount in terms of tuber yield, tuber number and weight per plant, plant height and water use efficiency in foliar sprayed with a dose of 3 per thousand and treated with 2 kg per 200 liters of water. In this study, the use of sulfonated silicon nutrient solution with elemental sulfur S-8 in two forms of foliar spraying at a rate of 3 per thousand and use of 2 kg of solution in 200 liters of water increased tuber yield and water use efficiency.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".