Effects of Nitrogen on Ramie (Boehmeria nivea) Hybrid and Its Parents Grown under Field Conditions
Bibliographic record
Abstract
Excessive nitrogen supply has resulted in environmentally negative impacts. In order to select and develop N-effcient ramie cultivars in increased N application environments, the morphological, physiological and biochemical responses of a ramie hybridization line (Chuanzhu 11) and its conventional parents (C9451 and R79-20) to N fertilizer were investigated under rain-fed conditions during three consecutive growing seasons. Two contrasting nitrogen levels (low nitrogen, LN: 20kg ha-2; high nitrogen, HN: 120kg ha-2) were used. Results indicated that high N substantially promoted the growth of ramie plants and led to remarkable increase in fiber yield in all cultivars during the three growing seasons. Such increase was also recorded in net photosynthesis, transpiration rate and stomatal conductance, as well as chlorophylls and carotenoids. However, high N supply caused no alteration or increase in intercellular CO2 (Ci) and Ci/ Ca (ambient CO2) ratio, depending on species. Moreover, high N application significantly improved soluble protein and proline content while it reduced malondialdehyde content. The activities of superoxide dismutase and catalase also elevated, whereas peroxidase activity decreased by high N application in all cultivars. Furthermore, hybrid cultivar Chuanzhu 11 exhibited better performance as compared to its parents C9451 and H7920 due to improved growth, fiber yield, leaf gas exchange traits and enzymatic and non-enzymatic antioxidant systems under high N supply conditions. In conclusion, ramie hybrid cultivar Chuanzhu 11 was more efficient to absorb and utilize high levels of N. This meets the need for uptake and utilization of high concentration of N in increased N fertilizer environments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".