Optimizing Boron and Molybdenum Delivery for Contrasting Cultivars of Subirrigated, Greenhouse-grown Pot Chrysanthemums
Bibliographic record
Abstract
Greenhouse floriculture operations must produce high‐yielding, quality flowers while minimizing environmental risk. I hypothesized that boron and molybdenum delivery to modern cultivars of subirrigated chrysanthemum can be optimized, compared to industry standards, while maintaining plant yield and quality. Two experiments were conducted for each micronutrient in a naturally‐lit greenhouse using a randomized complete block split‐plot design. Boron (5.00–0.313 μmol L–1) or molybdenum (0.50–0.031 μmol L–1), corresponding to 100–6.25% of current industry standards, was supplied in an otherwise balanced nutrient solution during vegetative growth only. Plant/flower morphology and development, visible symptoms of nutrient deficiency, and tissue nutrient levels indicated that boron and molybdenum supplies could be successfully reduced by 75–94% through improved nutrient use efficiency. This research contributes to the development of a sustainable low‐input nutrient delivery strategy for floricultural operations, wherein nutrient supply is interrupted during reproductive growth and optimized during vegetative growth.
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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) | 0.000 | 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".