The study of onion source material in the light-brown soils of the Caspian Sea arid zone
Bibliographic record
Abstract
In the conditions of the Astrakhan region there have been studied onion accessions of various ecological and geographical origin from the world collection of the Federal Research Center N. I. Vavilov All-Russian Institute of Plant Genetic Resources. The aim was to search and isolate sources and donors of agronomic traits for breeding work. Over three years of study (2017-2019), 117 onion samples were evaluated, of which 14 most promising accessions were identified based on the results of phenological, morphological and biometric observations and counts. The most productive samples with the yield from 52.3 to 64.1 t/ha in the conditions of the light-brown soils from Australia (Selfed), Hungary (Zillani), USA (Red Mom), Canada (Nothern) have been selected. Of these, the most adaptive to the conditions of the arid zone are Nothern, Selfed, Zillani, Red Mom (adaptability coefficient 1.19...1.46). According to the index form (1.0), the following specimens were identified: Vertus (Denmark), Southport (Canada), Zillani (Hungary), Jetset (Netherlands), Encore (USA), Kyrmyz (Abkhazia). Varieties with the complex of agronomictraits are the most valuable source material for onion breeding in the arid zone of light-brown soils of the Astrakhan region: Selfed (Australia), Zillani (Hungary), Red Mom (USA), Nothern (Canada).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".