Effects of Potassium Fertilizer and Phosphorus,Potassium Fertilizer Combined Application on Physiological Characteristics and Yield of Black Peanut
Bibliographic record
Abstract
In order to study the effects of potassium(K) and phosphorus(P),K fertilizer combined application on physiological characteristics and yield of Black Peanut,the field experiment was conducted with peanut CV.Heihua NO.1 in the experimental station of Shandong Peanut Research Institute in 2009.The results showed that,K fertilizer had a positive effect on the content of chlorophyll and photosynthetic rate at early and middle stage.Medium level of P fertilizer combined with high level of K fertilizer could significantly increase the content of chlorophyll and photosynthetic rate.K fertilizer could markedly enhance the activities of superoxide dismutase(SOD) and catlase(CAT),and increased the content of soluble protein.But K fertilizer had no significant effect on the activity of peroxidase(POD).More sensitive response of black peanut yield to K than P was observed.The yield was higher with high rate of K under three P level,and the treatment combination with rates of low P and high K gave the highest yield among all treatments.
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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".