Soft spring wheat breeding for septoriosis resistance
Bibliographic record
Abstract
Septoria is one of the main pathogens that cause great harm to the production of wheat in the Northern Trans-Urals, where during epiphytotic years it reduces the absolute mass of the grain (mass 1000 grain) by 28-46% and the yield to 50% or more. The most effective method to combat the pathogen is the creation of varieties of soft spring wheat with horizontal resistance and hardiness to the pathogen. The purpose of the research: - to study an extended set of variety samples of various ecological and geographical origin and to identify yield genotypes well adapted to local conditions, with a complex of economically valuable traits. In artificially created provocative conditions and in the years of epiphytotics of septoria, evaluate genotypes for resistance to the pathogen, isolate immune forms and recommend them as sources for creating varieties resistant and hardiness to septoriosis. By accumulating additive components of horizontal immunity, create genotypes that are resistant and hardiness to the pathogen. The tasks of the study included the detection of morphological traits that counteract infection with spores of Septoria; creation and evaluation of pathogen-resistant genotypes. Studies were conducted in 2015-2018. on the basis of the Research Institute of Agriculture of Northern Trans-Ural - a branch of the Tyumen Scientific Center of the Siberian Branch of RAS. The research material is 420 variety samples of the VIR collection of various ecological and geographical origin and220 lines of competitive variety testing of local breeding. The local population of septoria was used as inoculum. As a result of research, it was revealed that horizontal stability is due to a smooth, elastic cuticule and thickened epidermis, which is typical for resistant varieties: k-64893, 64891, k-64895 (China), k-64980 and k-64976 (Canada), which is typical and for the hardiness: K-65813 (China), K-66031, K-66032, K-66033 (Switzerland). In genotypes created locally, horizontal resistance to septoria is depends on the degree and quality of pubescence of leaves and vaginas, strong wax coating on stems, leaves, ears, and thickened epidermis, which is characteristic of stable lines: Grenada, Lutescens 463 SP-2/15, Erythrospermum 314 SP-2/15 and Erythrospermum 405 SP-2/15 and five hardiness, including variety Atlanta-1. The variety Grenada is registered by the State Commission of varieties testing from 2019 to 9 regions (Ural) of the Russian Federation, Atlanta-1 since 2018 is studied in the State Commission.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".