Effect of on Nutrient Resorption Efficiency, Metal Ion Concentrations and Nutrient Ratios of <i>Achnatherum inebrians</i> under Various Nitrogen Concentrations
Bibliographic record
Abstract
It is well known that low N limits crop yield, but plants can rationally use nutrients to improve the plant growth at adverse environments. However, the effects of E. gansuensis on nutrient resorption efficiency and metal ion contents of Achnatherum inebrians at low N were unknown. A. inebrians with (E+) and without E. gansuensis (E-) were treated with 0.1 mM (low) N and 7.5 mM (normal) N, after 90 days, the dry weight, the contents of N, P, K, Na, Mg, Zn, Cu, Ca and Fe in senescent and green leaves, N/P/K resorption efficiency at 0.1 mM N and 7.5 mM N were assayed. We found that E. gansuensis enhanced the dry weight of green leaves of A. inebrians , and increased nitrogen resorption efficiency (NRE) of host plant, and the content of N and P in green leaves at 0.1 mM N, but decreased N content in senescent leaves compared to E- plant at 0.1 mM N. The E. gansuensis played an important role in improving host grasses growth at low-N stress by enhancing NRE, and influencing the content of Na, Mg, Zn, Cu, Ca and Fe in senescent leaves and green leaves.
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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".