Impact of various combinations of nitrate and chloride 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 various combinations of nitrate and chloride on nitrogen remobilization in potted chrysanthemum grown in a subirrigation system. Can. J. Plant Sci. 94: 643–657. Subirrigation is gaining popularity as an environmentally friendly strategy for managing the nutrition of potted chrysanthemum (Chrysanthemum morifolium Ramat.), as well as many other popular potted ornamental crops grown in the greenhouse. Subirrigation systems recycle the nutrient solution, but unlike the common practice of overhead irrigation, salts are more likely to accumulate in the top of the growing medium. Thus, further research is required to optimize the technology for the timing and application rates of soluble nitrogen in order to benefit from the high mobility of this nutrient within plants. This study tested the hypothesis that N use efficiency of subirrigated potted chrysanthemum can be improved by managing the nitrate status of the plant. Replacement of the nitrate supply with water 1 wk prior to inflorescence emergence (the midpoint of the experimental 10-wk crop cycle) was more effective in reducing the nitrate contents of above-ground tissues, particularly the stems and petioles, than the use of nitrate or various combinations of nitrate and chloride, thereby resulting in an improved N usage index (i.e., shoot dry mass×(shoot dry mass/shoot N content)). Shoot or inflorescence dry mass and N content were unaffected at the conclusion of the crop cycle by this treatment, whereas the electrical conductivity of the pot medium was reduced. Thus, elimination of nitrate prior to inflorescence emergence can be an effective strategy for improving N use efficiency in subirrigated potted chrysanthemums without sacrificing quality.
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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".