Потенціал зразків гороху за цінними господарськими ознаками
Bibliographic record
Abstract
The aim and tasks of the study were to determine adaptive peculiarities of valuable economic traits in pea accessions of different eco-geographical origin, to evaluate resistance of accessions to diseases on an artificial infectious background, and to identify sources with a set of valuable economic traits. Materials and methods. The studies were conducted in the field conditions and on the artificial infectious background at the Plant Production Institute nd. a V. Ya. Yuriev in 2011-2013. Ten pea varieties bred by the Plant Production Institute nd. a V. Ya. Yuriev and 41 accessions from the National Centre for Plant Genetic Resources of Ukraine were taken for the studies. Sowing and observations on the artificial infectious background were carried out in accordance with the conventional techniques using phytopathological, entomological and mycological research methods. Results and discussion. Of the studied sample, we distinguished 1 pea accession, 1370-5 (Canada), which combines a high level of expression of the genotypic potential by the traits of "seed weight per plant" and "seed number per plant". Four accessions – variety ‘Otaman’, 2093-22, 1861-16, and 1770-3, significantly exceeded the average values of the traits of "seed weight per plant" and "seed number per plant" and “protein content in seeds”. Ten accessions with individual resistance to Ascochyta leaf and pod spot and 15 accessions with stable moderate resistance to Fusarium disease were distinguished. The accessions selected can be used as sources of valuable economic traits in breeding. Conclusions. The results obtained attest to a high level of breeding work with pea, and the accessions selected are recommended as sources of valuable economic traits in breeding programs to increase productivity and resistance to diseases.
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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".