New genetic diversity of winter two-row barley lines resistant to Loose smut Ustilago nuda (Jensen) Rostrup
Bibliographic record
Abstract
The creation of resistant barley cultivars leads to reduction in direct yield losses and limits the accumulation of infection in crops. Studies of new genetic plasma make it possible to find forms that can serve as starting material for the creation of a future disease-resistant cultivar. In the period 2012/2014, in competitive variety experiments, perspective lines of winter two-row barley resistant to loose smut (Ustilago nuda (Jensen) Rostrup) were studied. The experiment was based on the method of the Latin rectangle, with a plot of 10 sq m, in four repetitions, with standards Obzor, Emon and Kaskadyor 3. The yield was reported and the results were statistically processed. Grain quality was determined on the basis of the following indicators: 1000-grain weight (g) by weight method, uniformity 1st class (%), expressed as the ratio of the weight of grains remaining on sorting sieves 2.8 mm wide and 2.5 mm to the total weight in a sample of 100 g, protein content (%) (Kjeldahl method), extract content (%) according to EBC (1998). The relationship between grain yield and quality in perspective lines resistant to loose smut (Ustilago nuda (Jensen) Rostrup) was studied by correlation and principle component analysis using software SPSS 19.0 and Statgraf 2.1. As a result, winter barley lines resistant to loose smut (Ustilago nuda (Jensen) Rostrup) were created. Perspective lines PG 4480, PG 4447 and PG 4628 combine resistance to loose smut (Ustilago nuda (Jensen) Rostrup), high productivity and grain quality. They can be successfully used in the barley breeding program as parent components for creating new cultivars.
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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) | 0.001 | 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".