Bibliographic record
Abstract
Selection of optimum rice varieties in different soil and climatic conditions is a prerequisite for the efficient use of natural resources to form highly productive crops. The aim and tasks of the study. The aim of our study was to determine the suitability of rice varieties for cultivation, depending on the climatic conditions of a region. Material and methods. The investigations were carried out at the experimental field of the Institute of Rice NAAS in 2011-2013 in compliance with the BA Dospekhov’s methodology of experimentation Results and discussion. The results of studying peculiarities of determination of agro-ecological affiliation of rice varieties in flooding conditions on different nutrition. Three types of agro-ecological affiliation of rice varieties were developed: northern, temperate and southern. If rice grain filling in rice varieties the most actively occurs in the phase of milk ripeness and virtually stops at the beginning of the phase of wax ripeness, these varieties can be referred to the northern type. If grain filling the most actively takes place in the phase of milk ripeness and the first half of the phase of wax ripeness and stops at the beginning of the second half of the phase of wax ripeness, these varieties can be referred to the temperate type. If grain filling is uniform during the phase of milk ripeness and until the end of the phase of wax ripeness, such varieties can be referred to the southern type. Conclusions. Variety ‘Debut’ belongs to the northern agro-ecological type; ‘Ontario’ – to the temperate type; and ‘Admiral’ - to the southern type.
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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".