Management of Biostimulant and Silicon in Mineral Nutrition and Quality of Cotton Fiber
Bibliographic record
Abstract
Silicon (Si) and biostimulant management have been proposed techniques to reduce the impacts of abiotic stresses and to increase the productivity of several crops, however, there are still few concise results of the management of this crop. The objective of this work was to evaluate the effects of biostimulant and silicon treatments on isolated or mixed applications on mineral nutrition, yield and fiber quality of two cotton varieties. For this, an experiment was carried out in a randomized block design in the municipality of Luís Eduardo Magalhães-BA, in a 4 × 2 factorial arrangement, with four replications, in which four biostimulant treatments (control, without application; Si; biostimulant; and Si + biostimulant) were evaluated in two cotton varieties (FM 954GLT and FM 983GLT). The nutrient content of leaves, relative water content, electrolyte leakage, fiber yield, and quality were evaluated, the data collected were submitted to the F test and means were compared by Tukey at 5% probability. At the end of the experiment, it was verified that the management of Si and biostimulants increase the integrity of the cell wall, the association of Si + biostimulant increases the levels of N, Fe and Si foliar and reduces the levels of B and Mn, and do not influence on yield and fiber quality.
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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 | 0.001 |
| 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".