Effects of different levels of nitrogen on physiological characteristics of function leaf and plant traits and yield components of cotton
Bibliographic record
Abstract
Bt-transgenic hybrid cotton CCRI29 was used, the effects of physiological characteristics of function leaf,plant traits and yield components by applying different levels of nitrogen fertilizer(375.0 kg/hm~2,high N;187.5 kg/hm~2,middle N;0 kg/hm~2,low N) in the field were studied.The main results are as follows:① Changing nitrogen application amount had some effects on carbohydrate metabolism and protein content of function leaf on the stem.Carbohydrate synthesis was inhibited under high nitrogen treatment,but protein content was heightened.The soluble protein content of leaf was the lowest under the treatment of low-nitrogen.② Compared with mid-nitrogen and low-nitrogen,high-nitrogen boosted the plant height and leaf area index,which extended leaf function period,but had little effect on development date.③ Photosynthesis rate of function leaf was the highest under the condition of middle nitrogen.But photosynthesis was reduced under low-nitrogen level,which accelerated the leaf senescence.The soluble protein content of leaf was the lowest under the treatment of low-nitrogen,which accelerated the leaf senescence.④ There was significant difference between the lint yields of different nitrogen conditions and the order of lint yield was mid-nitrogen high-nitrogen low-nitrogen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".