Prospect of Deoiled Jatropha curcas Seedcake as Fertilizer for Vegetables Crops – A Case Study
Bibliographic record
Abstract
The biodiesel from Jatropha curcas had been received much attention in these past decades. The seed was accountable for its high oil content. Through the development of oil expeller machine, the remains of an oil extraction were subjected to this study in order to examine the potential of deoiled Jatropha curcas seedcake (JSC) for being used as an organic fertilizer. However, the main concern was the presence of a toxic compound named phorbol ester in the JSC. The bio-safety questions were often regarded as the main concerns for the utilization of JSC as fertilizer. Therefore, the Chinese kale, tomato, and sweet potato were chosen to represent as the leaf, fruit, and tuber vegetable, respectively, which were subjected to the application of JSC as fertilizer. Here, the aspects of plant growth, yield, nutrient, and amount of phorbol ester in such plant parts as well as in the soil were analyzed. Although the treatments in each crops were practically the same, the specified details namely an exact rate of chemically fertilizer were slightly varied. The effects of half rate of chemical fertilizer mixed with high rate of JSC as fertilizer on the yields of Chinese kale and tomato were proven to be on the increase. This same treatment had mostly affected the growth characteristics of sweet potato. The total percentages of nitrogen (N), phosphorous (P), and potassium (K) in the vegetable products were subsequently inspected. Not only the qualities of pre-planting soil, in terms of pH, organic matter, and available P and K were analyzed, but also that of postharvest. Analytical measurements of phorbol ester via both HPLC and LC-MS/MS, were performed in all the samples from both harvested plant parts as well as soil. From all the postharvest propagations, the toxicity of phorbol ester could not be found, neither from the plant products nor the soil. Therefore, utilization of JCS as organic fertilizer for vegetable crops was marked as a safe practice, both for the consumer consumption and soil environment. This outcome can be of choice to solve the problem of rising fertilizer prices.
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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 | 0.000 |
| Scholarly communication | 0.000 | 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 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".