SULFATE ACCUMULATION AND CALCIUM BALANCE IN HYDROPONIC TOMATO CULTURE
Bibliographic record
Abstract
Sulfate accumulation may reduce calcium (Ca) activity in solution. The objective of this study was to relate solution and foliar nutrients for greenhouse tomato (Lycopersicon esculentum Mill. cv ‘Trust’) receiving nutrient solutions enriched with 0.1, 5.2, 10.4, or 20.8 mM of sulfate. Solution components were expressed as crude or free concentrations, which were row-centered log ratioed (RCLR). As an expression for nutrient balance, RCLR adjusts any nutrient value to the geometric mean of all nutrient levels. Solution and foliar datasets were related to each other using canonical correlations. RCLR produced greatest redundancy between the two datasets (R 2=0.640–0.654), and raw data, the smallest (R 2=0.498–0.513). Canonical analysis of RCLR-transformed free concentrations indicated a dominant sulfate effect and significant secondary effects due to adjustment of the anion–cation balance in solution. Free sulfate concentration as RCLR explained 66% of the variation in foliar sulfur (S) and 71% of the variation in foliar Ca. The RCLR transformation should be further examined in relation with Ca imbalance and interactions in fruit crops.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".