The Examination of the Effect of Irrigation Interval and Nitrogen Amount on the Yield and Yield Components of Maize (Zea mays L. CV. Single cross 704) in Mazandaran Provience
Bibliographic record
Abstract
In order to evaluation the effect of irrigation interval and different amount of nitrogen fertilizer on agronomic characteristics of maize, single cross 704, the experiment was carried out as split plot in randomized complet blocks design with 3 replictions at 2009 in mazandaran provience. Irrigation interval was chosen as main plot at 4 levels which are 75, 100, 125 and 150mm evaporation pot of A class, nitrogen amount was also chosen as sub- plot at 3 replictions which are 0, 96 and 184 kg/ha at the rate of 0, 200 and 400 kg/ha urea fertilizer, respectively. The results showed that the grain yield in creased using of 184 kg/ha nitrogen fertilizer due to in creasing, ear length and thick, inceasing the graing and the row number per ear, and increasing the grain number per row of ear and the weight of 100 grains. The maximum grain tield was obtained by 75 and 125mm evaporation of class A pot, at the rate of 12490 and 13000 kg/ha, respectively. The graing yield components were not influenced by irrigation interval, statistically. Interaction between irrigation interval and nitrogen amount was significant on biological yield at the level of 1%, probability. The maximum grain yield was obtained by interaction of 125mm, evaporation of A class pot and using 184 kg/ha nitrogen fertilizer.
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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 | 0.001 | 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".