IMPACT OF PESTICIDES ON WHEATS SEEDS AND PLANTS FOR THE PAVLOGRADKA VARIETY IN THE OMSK REGION
Bibliographic record
Abstract
Представлены опытные данные по выявлению влияния протравителей семян на проростки и растения пшеницы яровой сорта Павлоградка в зависимости от концентрации их действующего вещества в условиях Омской области. Проводили лабораторный и полевой опыты по общепринятым методикам с целью изучения эффектов воздействия пестицидов. Статистические показатели рассчитывали с помощью базы данных программного обеспечения Excel. В ходе лабораторных исследований зерновки были обработаны четырьмя препаратами в двух концентрациях. Использовали метод проращивания семян в рулонах. Установлен различный характер воздействия фунгицидов и норм их расхода на показатели всхожести семян и морфометрические параметры проростков. При воздействии тебуконазола (АлтСил, Террасил) проростки наблюдали без признаков заболеваний, по параметрам они были неоднородны. При применении двухкомпонентного фунгицида Алькасар (д.в. дифеноконазол + ципроконазол) проростки внешне были «чистые», но размеры их сильно варьировали. Лучше всего проростки были сформированы при воздействии препарата Комфорт (д.в. карбендазим), но среди них наблюдали много пораженных болезнями. Этот фунгицид, однако, обеспечил стабильный по годам урожай в полевом опыте. При рекомендованной норме расхода препарата в среднем получено 3,96 т/га, при повышенной - 3,81 т/га. В контрольном варианте без обработки урожайность сорта в среднем за 2017-2018 гг. была 3,53 т/га. Коэффициенты корреляции, рассчитанные в ходе анализа данных, указывают на положительную сильной степени зависимость урожайности от длины проростка. Между урожайностью сорта и длиной корешков проростка корреляционная зависимость отрицательная слабой степени (r=-0,240). There are presented experimental data on the influence of fungicides on sprouts and plants of spring wheat of the Pavlogradka variety depending on the concentration of their active substance in the conditions of the Omsk region. Conducted laboratory and field experiments according to generally accepted methods, in order to study the effects of pesticides. The variance analysis of the test data was performed using Microsoft Office Excel. The seeds were treated with four drugs in two concentrations. The seed germination method in rolls was used. Has been established the different nature of the effect of fungicides and their consumption rates on seed germination rates and morphometric parameters of sprouts. When exposed to tebuconazole (AltSil, Terrasil), the sprouts were observed without signs of disease, in terms of parameters they were heterogeneous. When applying the two-component fungicide Alcazar (active ingredient diphenoconazole + cyproconazole), the sprouts were apparently “clean”, but their sizes varied greatly. The sprouts were formed best of all when exposed to the drug Comfort (active ingredient carbendazim), but among them there were many affected by diseases. This fungicide, however, to ensure the stability of yield in years field experience. It was obtained with the recommended consumption rate of the drug an average of 3.96 t/ha, with an increased rate of 3.81 t/ha. In the control variant without treatment the average yields of the variety for 2017-2018 were 3.53 t/ha. Correlation coefficients calculated in the course of data analysis indicate a positive strong degree of dependence of yield on sprout length. Between the yield of the variety and the length of the roots of the sprout, the correlation dependence is negative of a weak degree (r = -0.240).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".