GENETIC RESOURCES OF SPRING WHEAT RESISTANT TO BROWN RUST
Bibliographic record
Abstract
Brown (leaf) rust is the most common wheat disease and is found on all continents and countries where this crop is cultivated. Spring wheat occupies about 9 million hectares in Northern Kazakhstan. According to M.K. Koishybaev, brown rust and Septoria spot often appear together in the northern region, when they spread during the shooting-earing period and in case of wide progression, yield losses reach 30-40%, at the beginning of the filling- grain milk ripeness period - 7-10%. Among plant protection measures from various diseases caused by parasitic fungi, bacteria, viruses, as well as from damage by various insects, the most effective is introduction of immune varieties into the culture. The aim of our research is to study the genetic resources of spring crops and to identify new sources and donors of leaf rust resistance in northern Kazakhstan. In total, 150 varieties of spring bread wheat of various ecological and geographical origin were selected. The collection seed plot of spring soft wheat was sown in 2 replications, with a plot area of 2m2. The brown rust plot was lain according to the methodology of the State Variety Testing of Agricultural Crops. As a result of the work carried out, thirty-one new sources of resistance to leaf rust were identified: k-29288 (Georgia), Stendal (Italy), Sriblyanka, PKHRSV 02 (Ukraine), Frontana (Brazil), Marquis (Canada), etc. Seven varieties were characterized by resistance to leaf rust and a complex of economically valuable traits: Lutescens 415/00; Lutescens 120-03; Lutescens 16-04; Haamam 4; Sigma; Sibirskaya 17; Chelyaba early. The selected samples are of great interest for practical breeding and will be used to create new varieties of spring wheat with high productivity and resistance to leaf rust.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".