Potassium Silicate, Against Water Stress, in Sweet Corn Plant Growth Traits
Bibliographic record
Abstract
Water stress in sweet corn plants due effect of climatic events, such as El Niño, is difficult to monitor, leading to considerable losses. Silicon (Si) as an exogenous resistance elicitor may reduce water stress effects. The relationship between sweet corn plant age and its development, under induced water stress and leaf potassium silicate applications were evaluated. This work was carried out with the hybrid Tropical Plus®, in a randomized factorial block design with 15, 30, 45 and 60 kPa as soil water tensions in plots and potassium silicate doses (0, 6, 12 and 24 L ha-1) in subplots. Stem diameter, plant height and leaf number per plant were evaluated at 30, 45, 60, 75 and 90 days after seeding. Root length was measured on the 90th day after seeding. Sweet corn plants submitted to water stress conditions and Si application showed an age-dependent response. Water stress did not decrease stem diameter, plant height and number of leaves per plant sprayed with Si. Root length was longer with 60 kPa soil water tension. Silicon reduced negative impacts of water stress on sweet corn 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 | 0.001 | 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 | 0.001 |
| 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".