Molecular identification and morphological characterisation of multiple fungal pathogens of triticale in Northern Kazakhstan
Bibliographic record
Abstract
Background and Aim. Тtriticale is classified as an amphidiploids and is the first grain crop created by humans, possessing high yield potential along with favorable biochemical and technological characteristics. For a long time, it was believed that triticale, during selection, inherited disease resistance from wheat and resistance to abiotic factors from rye. However, in recent years, there have been several reports that triticale is to fungal diseases, which reduces the quality of the harvested crop. The aim of our study is to examine and characterize the fungal pathogens of triticale in Northern Kazakhstan, and conduct molecular-genetic identification of the main fungal pathogens.MaterialsandMethods. The study was conducted of triticale from two varieties, Dauren and Rossika. Primary fungal isolation was carried out on agarized nutrient media, with preliminary identification using microscopy. Molecular genetic analysis was performed to determine the species of fungi. Results. During the study, we isolated five major fungal pathogens from different parts of the plant. Data on the percentage of infection by the main fungal pathogens were provided. Three of them are pathogens of alternariosis – Alternaria alternate (more common in grains 39%, in leaves and scales of seeds 19-21%), fusariosis – Fusarium tricinctum (occurrence: in roots 57%, in grains 17%, in leaves 10%) and helminthosporiosis – Bipolaris sorokiniana (occurrence in roots and leaves 0.83%) of grain crops, which can lead to a decrease and loss of yield due to their production of mycotoxins. A cultural and morphological description of the main fungal pathogens of grain crops was provided. Moleculargenetic identification was carried out using the ribosomal marker ITS (internal transcribed spacer).Conclusion. According to result of our research, we characterized and molecular-genetically identified the most common fungi found on different parts of the triticale plant.
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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) | 0.001 | 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".