Fusarium head blight of winter triticale varieties in the Forest-Steppe zone of Ukraine
Bibliographic record
Abstract
Purpose. Studying variety samples of winter triticale of various ecological and geographical origin for revealing polymorphism of the culture for its susceptibility to pathogenic complex of Fusarium head blight and defining high-yielding and resistant to diseases varieties that later can be put into the production and breeding process. Methods. Field experiments, statistical evaluation. Results. It was defined that the development of Fusarium head blight in different variety samples of winter triticale depends on the hydrothermal conditions and genotype of the host-plant. Resistance of varieties and hybrids to the disease was partial, and no immune samples were found among the analyzed ones. The following varieties proved to be tolerant to Fusarium head blight: ‘Granat’, ‘Zorro’, ‘Obrii Myronivskyi’. The positive correlation between the development of Fusarium head blight and root rot of winter triticale was found. It was determined that in the pathogenic complex of Fusarium head blight the amount of the following pathogens is increasing: Fusarium sporotrichioides, F. аvenaceum and F. poae. Conclusions. The leading varieties that combine high yields and resistance to Fusarium head blight are as follows: ‘Obrii Myronivskyi’, ‘ADM 8’, ‘Yuvileine Volynske’, ‘Yukon’, ‘Zorro’, ‘Tsekad 90’, ‘Zerniatko’, ‘Legion’ and ‘Rarytet’. These varieties should be involved in the selection process to breed the hybrids with the augmented resistance to the disease and high yields.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".