Influence of the K+ and Ca2+ on the Presence of Sugars in the Phloem, and Growth Parameters in Capsicum
Bibliographic record
Abstract
The effect of various K+ and Ca2+ nutrient solutions were evaluated to measure the growth rate, amount of reducing sugars and the production of Capsicum annuum Plants were grown directly in soil under shade house conditions in two separate experiments across two consecutive years. Nine nutrient solutions containing three levels of K+ (27, 35 and 43%) combined with three levels of Ca2+ (37, 45 and 53%) were used, along with the Steiner solution treatment as a control. Irrigation was calculated every week according to Kc, volumetric humidity and ETo, the experimental design was a block (furrows) with a 3(x)3 factorial arrangement. There was no interaction between growth rate, sugars and yield. Plants treated with the combination 27% of potassium with 53% of calcium presented a yield of 500 g/fruit greater than the control treatment (Steiner), and produced on average 2 more fruits per plant with a weight of 160 g/fruit (<0.05) higher than Steiner, the low potassium concentration (27%) induced a lower concentration of sugars with a value >3 mg/ml during the first crop cycle, it were analyzed during the flowering stage, and in the second agricultural cycle, during the fruiting stage it was < 4 mg/ml.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 | 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".