Steps towards understanding variation for water and nitrogen uptake and use in Brassica napus
Bibliographic record
Abstract
Water and nitrogen (N) are the biggest limiting factors in cropping systems around the world.Along with agronomic practices, breeding for limited N and water availability will increase profits of crop production.Existing variation for N and water uptake and utilization, and for drought tolerance/ avoidance mechanisms among Brassicas (1, 2) could be useful in improving canola for adaptability and sustainability.Identifying the underlying traits to high N use efficiency (NUE) and water use efficiency (WUE) could help select for highly productive cultivars under low N application and variable water availability.Steps towards understanding variation for water and nitrogen uptake and use in Brassica napusTwo weeks of water stress substantially reduced plant water consumption; whereas biomass reduction due to the stress varied by the treatment Genotypes substantially varied for total water consumption, for water consumption after two weeks stress, and for rooting systems Stress at seedling had the least effects on plant biomass and stress at flowering had the greatest negative effect among the stressed treatments Mechanisms of drought tolerance depended on the time of water shortage.Plants recovered shoot-biomass growth after the seedling stress, but had reduced height and extended roots due to the stress after flowering DH12075 consumed the most water and produced one of the largest biomass, whereas PSA12 had the lowest water usage and root mass
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".