Resource-saving methods of fodder crop cultivation in the Trans-Baikal Territory
Bibliographic record
Abstract
The results of the study on the comparative assessment of different tillage methods in the field crop rotation with different levels of mineral nutrition (N 30 P 30 and N 60 P 30 kg of active ingredient/ ha) are presented. The experiment was carried out on low-humus low-carbonate chernozem of the forest-steppe zone of Eastern Trans-Baikal Territory in 2012–2014. The zoned variety of Buryatskaya-79 spring wheat, and Metis oat variety were used for sowing. Low-cost methods of soil tillage were studied, providing for the preservation and improvement of soil fertility, an increase in the productivity of grain and fodder crops, and a decrease in material and energy costs. Replacement of the basic tillage with a PN-4-35 plow with a ring roller in the third and fourth crop rotation fields by surface tillage with a Stepnyak-7.4 cultivator and direct sowing on the stubble with a PPM Ob4-ZT seeder when applying mineral fertilizers at a rate of N 60 P 30 kg of active ingredient/ha had a positive effect on the condition of the soil. The following indicators of soil fertility were achieved: structural coefficient 1.28–1.38, organic matter content 3.15–3.33%, productive moisture content in the 0–50 cm layer 29.2–31.8 mm, the release of carbon dioxide 1.810–1.969 kg per 1 hour, the content of Р 2 О 5 in the 0–20 cm layer 71–96 mg/kg of soil, the content of K 2 O – 57–82 mg/kg of soil. An increase in the yield of oat grain of 0.16–0.21 t/ha, the green mass of annual grasses of 3.44.0 t/ha, the collection of feed units of 0.32–0.34 t/ha, a reduction in the cost of fuel and lubricants by 31.2-36.4%, and an increase in profitability by 25.0–40.3% were achieved.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".