Nitrogen Assimilation Ability of Three Cauliflower Cultivars in Relation to Reduced Post-Transplanting Nitrogen Supply
Bibliographic record
Abstract
It is not known how cauliflower (Brassica oleracea var. botrytis), a cool-weather, high nutritional-value vegetable, achieves its high nutritional levels, the hearty structure and fresh appearance. A study of cauliflower plant and nitrogen nutrition relations was conducted in a commercial production field in Annapolis Valley, Nova Scotia. The objectives were to determine the effects of nitrogen nutrition on cauliflower plant development and to quantify cauliflower plant N uptake ability among different varieties. The treatments consisted of three cauliflower varieties (âMinutemanâ, âSevillaâ and âWhistlerâ) and three post-transplanting rates of N (0, 45 and 90 kg ha-1), arranged in a split-block design in the field. Results showed that the N uptake ability of cauliflower plants varied between 6.2 and 9.0 g plant-1, depending on varieties. The cauliflower varieties âSevillaâ and âMinutemanâ had a significantly higher ability of N uptake than the cultivar âWhistlerâ (P < 0.05). All three varieties responded significantly to the reduced post-transplanting input (45 kg N ha-1). There was a significant correlation between cauliflower head yield and whole plant N uptake (R2 = 0.64, P < 0.05). It was suggested that increasing N assimilation in whole plant could stimulate cauliflower head development, which could also lead to a reduction of 50% post-transplanting inputs. Future studies will be focused on quantification and regulation of N temporal reserves in leaves that could enhance N transfer to sinks (heads) and that could promote cauliflower plant head development.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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".