Response of rape cultivars with different boron efficiency to boron-magnesium nutrition at seedling stage
Bibliographic record
Abstract
Solution culture to studied the responses of two rape ( Brassica napus ) cultivars with different boron efficiency to boron-magnesium nutrition at seedling period. The results showed that increasing Mg concentration in the solution had no influence on the growth of two cultivars under lower B level. However, B content and B accumulation in plants decreased, and Mg content, Mg accumulation and chlorophyll content increased. Similarly, increasing B concentration under lower Mg level, Mg content, Mg accumulation and chlorophyll content decreased, the decreasing extent in the B-inefficient cultivar was larger than in the B-efficient cultivar, but chlorophyll content in B-efficient cultivar was larger than in the B-inefficient cultivar. When increasing B concentration in the solution under higher Mg level, there was a significant synergism between B and Mg. The effect of the synergism in the B-inefficient cultivar was less than in B-efficient cultivar. To a large extent, chlorophyll content in plant was tighter relative to Mg content, and less relative to B content. Boron-magnesium nutrition had no significant influence on Zn content. Under the low Mg condition, increasing B concentration could enhance Mn content significantly. At two Mg levels, increasing B concentration improved Fe nutrition of the two cultivars, however, Fe content in B-inefficiency cultivar raised significantly.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".