Урожайність сучасних сортів рису залежно від системи живлення
Bibliographic record
Abstract
The aim and tasks of the study. The objective of our research was to establish peculiarities of the response of rice varieties ‘Debiut’, ‘Marshal’, ‘Lazurit’, Korsar’, ‘Vikont’, and ‘Ontario’ to the fertilizer system in the southern Steppe of Ukraine. Materials and methods. The study was carried out in the experimental field of theInstitute ofRice NAAS in 2011-2016. The experiments were laid out in compliance with the requirements for field experiments by the BA Dospekhov technique. Results and discussion. The results of studying the effects of fertilizer systems on the yield capacity of new rice varieties in rice crop rotations in the southern Steppe of Ukraine are presented. It was established that the highest yield of rice was achieved on N120P30 with double dressing. Thus, the yield was 11.27 t/ha in variety ‘Vikont’; 9.62 t/ha in ‘Korsar’; 8.99 t/ha in ‘Lazurit’; 7.06 t/ha in 'Debiut’; 9.77 t/ha in ‘Marshal’; and 9.24 t/ha in ‘Ontario’. Basic application of ammonium sulphate was more effective for varieties ‘Vikont’, ‘Korsar’ and ‘Lazurit’. In this case the yields amounted to 9.33, 7.99 and 7.27 t/ha, respectively. ‘Debiut’ gave a higher yield with N120 (carbamide)P30 - 6.03 t/ha. The yields of varieties ‘Marshal’ and ‘Ontario’ were not affected by the type of basic fertilizer. It was found that mineral fertilizers increased both the productive stem number by 33.2-63.1% and the grain weight per panicle by 3.8-50.0%. Conclusions.The research established that the type of basic fertilizer did not matter varieties ‘Marshal’ or ‘Ontario’; ammonium sulfate is preferable for varieties ‘Vikont’, ‘Korsar’ and ‘Lazurit’ ; and carbamide - for ‘Debiut’. Application of N120P30 with double dressing is optimal for all the varieties, regardless of the ripeness group. Here, the productive tillering capacity, the panicle number, the grain weights per panicle and per 1 m2 increase, which determines increased yield capacity. The grain/straw ratio is a varietal characteristic and does not significantly depend on the fertilizer system
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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 | 0.001 | 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".