Parameters of adaptability and productivity of spring barley varieties of different ecological and geographical origin in the forest-steppe agro-climatic zone of the Ryazan region
Bibliographic record
Abstract
In the forest–steppe agro-climatic zone of the Ryazan region, 25 genotypes of spring barley of different ecological and geographical origin were studied in the fields of the laboratory of breeding and primary seed production of the Institute of Seed Production and Agrotechnologies - a branch of the FSBI FNAC VIM in 2019-2023. The purpose of the research is to evaluate the parameters of adaptability and productivity of spring barley varieties in the conditions of the Ryazan region and to identify the most promising genotypes for further breeding work. All calculations are based on the "yield" attribute. It was revealed that 17 varieties (68.0%) exceed the standard Reliable variety in yield by 0.06–1.03 t/ha (101.0–116.9%). The Polish Stratus variety had the highest average yield – 7.12 t/ha. The maximum yields over the years of research (8.0 t/ha or more) were shown by the varieties Batka, Magutny, Fest (Belarus); Bambina, CWS Vermont, Chill (Germany); Cheerlo, Rapid, LG Nabucco (France); Crossway (Denmark); Stratus (Poland); Lenetah (USA); Duncan (Canada); Laureate (Switzerland). Of all the studied indicators, the coefficient of adaptability (KA) has a close (close to functional) relationship with yield (r= + 0.971), which indicates the importance of this indicator in increasing the further productivity of the crop. It was found that Jaromir, Znatny (RF), Batka, Gonar (Belarus), Ilek-16 (Kazakhstan), Prosa (Czech Republic), KWS Vermont, Rapid, LG Nabuco, Crossway, Stratus have a KA>1.0. To identify forms with a wide adaptive potential, the most valuable is a comprehensive rating of quantitative characteristics of adaptability, which identified the varieties Stratus, Yaromir and Crossway. The selected source material is recommended to be involved in breeding hybridization programs to increase the adaptive properties of the varieties being created.
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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".