Скринінг генофонду сої культурної за стійкістю до біо– та абіотичних чинників
Bibliographic record
Abstract
The results of studies of collection and breeding soybean material for resistance to Fusarium, drought and heat are presented. The aim and tasks of the study. Search for soybean starting material with high adaptive features and resistance to Fusarium, formation of source collections, their use in breeding to develop high-yielding varieties that are resistant to Fusarium, drought and heat. Materials and methods. 300 accessions were evaluated for resistance to Fusarium on infectious background by standard methods in 2005-2012. Adaptability of the modern soybean assortment (83 accessions) to heat and drought was evaluated under contrasting conditions in the field (control) and in a manmade rainfall shelter in 2012-2013. Results and discussion. A working soybean collection consisting of 51 accessions from 11 countries was formed by individual resistance to Fusarium. Accessions OAC Shire (513 g/m2), Sofia (475 g/m2), Lara (448 g/m2), Predator (440 g/m2), Sviatohor (433 g/m2), Sharm (428 g/m2), T1 (425 g/m2), and MN 1401 (410 g/m2) combine resistance to Fusarium with high yield capacity. Another working soybean collection consisting of 83 accessions from 15 countries was formed by resistance to drought and heat. Variety Hali showed a very high drought resistance; accessions Soniachna, Soier 345, Pripiat were highly resistant; accessions F 50 R/W, Yankan, Antrathyt, Alisa, Tanais, Samer 2, Baika, Labrador, Emerson, L 101, Larisa , L 55-13, Gaillard, Bilosnizhka, Sprytna, Hera, Merlin, L 52-13, Karikachi, Donskaya (milky), Sprint, N 0300, Walsh, UIR 021752, and Desna were medium resistant. Variety Hali combines a very high drought resistance with high productivity; accession Soier 345 - high drought resistance with high productivity; accessions F 50 R/W, Yankan, Baika, L 101, Larisa, Gaillard, Sprytna, Donskaya (milky), UIR 021752, and Desna - medium drought resistance with high productivity. Conclusions. The working soybean collection by individual resistance to Fusarium includes 51 accessions from 11 countries. The working soybean collection by resistance to drought and heat includes 83 accessions from 15 countries
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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".