Studies on the Relationship between Drought Tolerance and Photosynthetic Physiological of Maize Leaf
Bibliographic record
Abstract
The change of net photosynthetic rate of leaf,chlorophyll content and chlorophyll fluorescence parameters were studied under water stress.The result showed that net photosynthetic rate of leaf(Pn),chlorophyll a(Chl a),chlorophyll b(Chl b),total chlorophyll content(Chl),value of chlorophyll a/b(Chl a/b),max fluorescence(Fm) and photochemical efficiency of PSⅡ(Fv/Fm) were decreased compared with the antitheses.The basis fluorescence(Fo) was increased.The ratio of Pn and Chl a/b in antitheses correlated positively to drought resistance very significantly(r=0.880 7**,p0.01;r=0.880 4**,p0.01).The ratio of Fo in antitheses correlated negative to drought resistance very significantly(r=-0.764 0*,p0.05).The ratio of Fm and Fv/Fm in antitheses correlated positively to drought resistance very significantly.So the net photosynthetic rate,the value of chlorophyll a/b,Fo,Fm and Fv/Fm could be used to evaluate the drought resistance of different sweet maize varieties.
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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".