Screening of world collection of grain crops in middle prizmurie to create tolerant varieties for infectious diseases
Bibliographic record
Abstract
The phytosanitary situation in the agro-biogeocenoses of the Middle Amur Region was considerably complicated due to noncompliance of the rules of crop rotation, oversaturation with a monoculture (soybean), instability of the hydrothermal regime, contributing to a large extent to the spread of a whole complex of diseases. Therefore, continuous monitoring of the gene pool of cereal crops for virulence to fungal diseases in the Middle Amur Region is particularly relevant. In this regard, the purpose of research is to screen the world collection of crops in the Middle Amur Region in order to create varieties that are tolerant to infectious diseases. Based on this, the main tasks of breeding work are to screen the world collection of cereals, isolate efficient sources and donors, and create new varieties and lines of grain crops with high resistance to the most harmful diseases. Over the past twenty years, screening of collection samples of grain crops for phytopathological resistance to fungal diseases and against a natural infectious background has been carried out on the experimental and specifically selected fields of the Far Eastern Research Institute of Agriculture. The object of research is spring wheat, spring oats, spring barley. As a result of research, a decrease in the damage of varieties of grain crops by all types of rust diseases and helminthosporium patches was established. By repeated hybridization and individual selections with the inclusion of effective sources and donors, varieties that are resistant to infectious diseases were created: spring oats - Express, Tigroviy, Premier, Marshal; spring wheat - Khabarovsk, Zaryanka, Lira 98, Elizaveta, Priamurskaya; spring barley - Yerofey, Rus', Musson, Kazminsky. The new generation varieties were transferred to the State Varietal Testing - Cardinal oats, Anfeya wheat and Khabarovsk barley with high immunity to pathogens of various etiologies. New lines of spring wheat, oats and barley, combining high productivity with resistance to the local pathogenic complex of diseases, were identified. There are varieties of spring triticale with high resistance to infectious diseases - AC Certa (Canada), Lana (Belarus), Skory (Leningrad region), Lotos (Belarus), Mykola (Ukraine), Yarilo (Krasnodar region), Pamyat’ Merezhko (Vladimir region .).
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".