Production of Cashew Rootstocks Submitted to Organic and Mineral Fertilization
Bibliographic record
Abstract
The use of grafted seedlings is a cultural practice that aims at the optimization of agricultural production, and materials of organomineral added to the substrate can help in the well development. The aim of this study was to evaluate the effect of the application of increasing doses of organic and mineral material on the development of cashew rootstocks. The test was conducted in the experimental area of the Federal University of Campina Grande (UFCG), campus Pombal-PB in the period from July to September 2017. The treatments were constituted of five increasing doses of organic matter (0, 100, 200, 300 and 400 g of bovine manure) and four levels of mineral fertilizer (0, 1, 2 and 3 g of NPK). The design was in randomized blocks, distributed in factorial 5 × 4, with 4 replications. For the planting, it was used creole seeds originary of the city of Livramento do Cariri Paraibano and substrate composed by sand texture Franco sandy. At 60 days after sowing, the following variables were analyzed: plant height (cm), leaf diameter (mm), number of leaves, leaf area (cm2), fresh and dry mass, leaf, stem, shoot (g), percentage of biomass (%) and quality index of seedlings. Based on the results obtained, it is concluded that the organic and mineral combination (1 g of NPK and 200 g of bovine manure) provided the greatest increases in vegetative growth characteristics and quality of rootstocks in the cashew tree.
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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) | 0.000 | 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 | 0.001 |
| 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".