Oat samples valuable for breeding in the forest steppe of the Ob region with the optimal combination of yield elements
Bibliographic record
Abstract
The results of the study of collection oat samples of various ecological and geographical origin are presented. The experiments were carried out in Novosibirsk region in 1994-2018. The sources that combine the optimal density of the productive plant stand and the mass of grain from the panicle were identified according to the ripeness groups. There were 413 collection samples of spring oats studied from 42 countries of the world for 25 years. Collection varieties were evaluated in nurseries of the 2nd-3d year of study. To identify the best samples, a scoring evaluation system of the traits under consideration, i.e. the density of the productive plant stand and the mass of grain from the panicle, was used. Comparison of genotypes for these traits was carried out within a group of varieties with an equal score for the duration of the seedlings -wax ripeness period. The standard varieties Krasnoobsky and Rovesnik were studied for all 25 years, therefore, all years were divided into three groups according to the average biological yield of these varieties. The first group includes 5 years, in which the standard varieties formed a low yield - less than 300 g/m 2 . The second group includes 14 years with a standard yield of 300-600 g/m 2 . The third group includes 5 years with the most favorable conditions for the formation of a high biological yield - more than 600 g/m 2 . A significant correlation between biological productivity and panicle productivity was noted in the standard variety Krasnoobsky during the years with a medium yield and in the standard variety Rovesnik during the years with a high yield. With the traits being evaluated in points, biological productivity showed a strong positive correlation with panicle productivity in Krasnoobsky variety in all groups of years, and in Rovesnik variety only in groups of years with medium and high yield. The sources of biological productivity of oats were identified by ripeness groups: very early - VIR-14522 (Dukat, Poland); early-ripening - VIR-14223 (Ardo KR-FPTS, Czechoslovakia); mid-early - VIR-15340 (Uran, Omsk region), VIR-14729 (SG-K-93682, the Czech Republic), VIR-14588 (Gramena, Germany), VIR-14582 (Carl Theodor, Germany), VIR-15012 (Togurchanin, Tomsk region), VIR-14706 (Keeper, Great Britain), VIR-14581 (Borka, Germany), VIR-15178 (Begunok, Ulyanovsk region) and Novosibirsky 5 (Novosibirsk region); mid-ripening - VIR-14377 (Mutika 572, Omsk region), VIR-14520 (Kwant, Poland), VIR-15254 (AC Mustang, Canada), VIR-15280 (55h 2106, Moscow region) and VIR-14527 (OM 1385, Great Britain); medium-late - VIR-15065 (Irtysh 22, Omsk region), VIR-14860 (Malysh, Tyumen region) and VIR-15103 (R8N9 3037-3072, Krasnoyarsk region).
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".