Impact of : ratio and nitrogen supply on nitrogen remobilization in potted chrysanthemum grown in a subirrigation system
Bibliographic record
Abstract
MacDonald, W. N., Tsujita, M. J., Blom, T. J. and Shelp, B. J. 2014. Impact of [Formula: see text]:[Formula: see text] ratio and nitrogen supply on nitrogen remobilization in potted chrysanthemum grown in a subirrigation system. Can. J. Plant Sci. 94: 867–880. Subirrigation is being adopted as an environmentally friendly strategy for managing the nutrition of potted greenhouse plants. Here, we investigated two strategies for enhancing the remobilization of N during the development of the inflorescence in subirrigated potted chrysanthemum (Chrysanthemum morifolium Ramat.) in an attempt to improve nitrogen (N) use efficiency. (1) The replacement of a portion of the nitrate in the nutrient solution with ammonium decreased the nitrate content, especially in the stem plus petioles, and increased the reduced N content early in the growth cycle, but did not improve N use efficiency. (2) The use of a lower N supply (200 vs. 400 mg total N per pot delivered over 3 and 5 wk, respectively), either as nitrate or ammonium nitrate, eliminated nitrate accumulation prior to inflorescence development, thereby improving N use efficiency. Inflorescence quality was unaffected; however, at the lower N level there was some evidence of chlorosis on the oldest leaves. Thus, there may be considerable potential to reduce the N supply in a commercial greenhouse setting as long as an adequate supply is provided early in the growing period.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".