Effects of Different Concentrations of Organic Waste on Selected Traits of Individuals Capsicum Chinense Jacq.
Bibliographic record
Abstract
At present, excessive waste production makes it necessary to carry out research aimed to minimize the problems arising from waste generation and inadequate disposal. In this sense, this study aimed to analyze plant growth, fruit production, antioxidative enzyme activities and organic solute contents in fruits of Capsicum chinense Jacq. plants (BRS Moema cultivar) growing in substrates with different concentrations of municipal organic solid waste (MW) or shrimp waste (SW) under greenhouse conditions. A completely randomized design was used with seven treatments (control; MW at 50, 100 and 200% of recommendation; and SW also at 50, 100 and 200%) and five replications. The MW and SW were mixed with the soil. When plants already had fruits, 122 days after sowing (DAS), shoot height, stem diameter and number of leaves were determined, and 134 DAS, the visibly ripe fruits were collected and stored at -20 °C for subsequent biochemical analysis. The MW and SW provided a linear increase in the parameters of shoot height, stem diameter and number of leaves. The numbers of fruits in the treatments were quite variable, but it can be concluded that the MW 200 and SW 100 treatments provided higher fruit production. The best results for the activities of catalase (CAT), ascorbate peroxidase (APX) and guaiacol peroxidase (GPX) in the fruits occurred in the MW 100 and SW 200 treatments. Both provided an increase in CAT and reductions in APX and GPX, which can contribute to greater postharvest life of C. chinense Jacq. fruits. In relation to soluble protein and carbohydrate contents, the MW 100 and SW 100 treatments did not contribute to their increase; in the other residue concentrations, the results were variable. However, considering all parameters analysed in this study, the most suitable treatments would be MW 100 and SW 100. Therefore, the results demonstrate the susceptibility of using substrates with MW and SW in the cultivation of C. chinense Jacq. plants.
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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 | 0.000 |
| 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".