Генетичний контроль стійкості у пшениці м’якої ярої до збудника борошнистої роси (Blumeria graminis DC.)
Bibliographic record
Abstract
The resistance of soft spring wheat collection samples from the National Genebank of Plants of Ukraine to powdery mildew was studied on provocative background in the Eastern forest-steppe ofUkraine. Purpose. To identify sources of resistance to the local population of the pathogen Blumeria graminis (DC.) Speer. in the soft spring wheat gene pool, to establish nature of inheritance of resistance to the powdery mildew pathogen in hybrids obtained by crossing these sources with susceptible varieties. Material and Methods. The field experiments were conducted in scientific crop rotation at the Plant Production Institute nd. a V.Ya. Yuryev of NAAS during 2008-2013. Over this period 214 soft spring wheat samples from the National Genebank of Plants of Ukraine, originating from different countries, were studied. They included 18 samples from Ukraine, 56 -from Russia, 5 – from Belarus, 3 - from Poland,2 - from Finland, 4 - from Germany, 2 - from Austria, 15 - from the USA, 18 - from Canada, 2 - from India, 11 - from Kazakhstan , 22 - from Syria, 33 - from Mexico, 10 - from Brazil, and by 1 sample from Sweden, the Czech Republic, the former Yugoslavia, Serbia, China, Nepal, Kyrgyzstan, Kenya, Morocco, Uruguay, Australia, as well as 2 samples of unknown origin. Study Results. In 2008-2010 on provocative background 6 sources of resistance (Lulana, Yevdokіya fromUkraine; Simbirtsid, Ekada 70 fromRussia; Korinta fromBelarus; Aletch fromGermany ) to the local population of the powdery mildew pathogen were identified. Mono -, di - and trigenic control of stability in these sources was demonstrated by hybridological analysis. Conclusions. The stable effects of resistance to Blumeria graminis and fixing them in the progeny allow recommending the wheat variety Simbirtsid for use in breeding programs.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".