Economically valuable characteristics and breeding indices of spring barley varieties of different ecological and geographical origin in the conditions of the Ryazan region
Bibliographic record
Abstract
The article presents the results of research conducted in the collection nursery of spring barley in the conditions in 2020–2022. The purpose of the research is to identify economically valuable traits and calculate breeding indices of selected sources of spring barley of different ecological and geographical origin in the conditions of the forest–steppe zone of the Ryazan region for inclusion in the hybridization program. It was revealed that the varieties Reliable (RF) and Dzivosny (Belarus) had the highest productivity in the conditions of the region with an average yield of 6.48 and 6.40 t/ha, respectively. It was found that the shortest straw had the German varieties KVS Vermont and Ellinor, whose height is in the range of 63-67 cm and varies little over the years of research (CV, % = 3.9 ...6.0). According to the length of the ear, the varieties Bente (Germany) (8.2 cm), Jaromir and Noble (8.0 cm) (RF) stood out. It was revealed that the maximum number of grains in the ear is formed by the Yaromir and Noble varieties – 23.7 pcs. and 23.4 pcs., respectively. According to grain size, the varieties Kufal, Raider (Belarus) and Bente were distinguished, having a mass of 1000 grains of more than 50.0 g. When calculating the breeding indices, it was found that the productivity of domestic varieties was influenced by the Canadian Ki index (r= +0.829) and the harvest index of KHOZ, % (r= +0.559), the Belarusian varieties of the IPPR plant productivity index (r= +0.478), German varieties Ki (r= +0.747) and the linear density index ear of LPC (r = +0.604). On average, according to the number of selected indices, the Noble and Dzivosny varieties come out on top – the maximum indicators for three indices, Yaromir (RF), Ataman (Belarus), KVS Harris, KVS Vermont, Beatrice (Germany) – in second place – for two indices. The varieties of spring barley distinguished by the individual studied positive signs and their complex are recommended for use in breeding programs.
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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 | 0.000 | 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 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".