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The dusty smut of barley in the Omsk region and sources of resistance to it

2025· article· en· W4406818474 on OpenAlexaboutno aff
Л. В. Мешкова, O. B. Sabaeva, П. Н. Николаев

Bibliographic record

VenueBulletin of NSAU (Novosibirsk State Agrarian University) · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsSmutResistance (ecology)BiologyAgronomy

Abstract

fetched live from OpenAlex

Most barley varieties grown in the Omsk region on an area of more than 300 thousand hectares are affected by dusty smut. The purpose of our study is to analyze the gene pool of the pathogen population and identify the sources of resistance to it. In the field, on an artificial infectious background of the plant immunity laboratory in 2019-2023, in the first decade of July, during flowering, test varieties with identified resistance genes were infected: Run 1, Run 3, Run 6, Run 7, Run 8, Run 12 and Run 14, varieties of local selection Gift of Siberia (susceptibility indicator) and Omsk 99 (stability indicator), samples of the world collection of barley VIR and hybrid material of Omsk ancestor teliospores of the local population of the Dusty smut Ustilago tritici. hordei (Jens.) Kell. et. Sw. (Оld name Ustilago nuda (Jens.) Kell. et Swing). Infected seeds were sown and the lesion of the samples for the next year was taken into account according to the VIR method and the adapted SIMMIT method. The results of the study of the dusty smut population showed that varieties with the Run 3, Run 6 and Run 8 genes and sample L-6823 (Run 12) showed high resistance to the pathogen. The Trebi (Run 1) and Anoidium (Run 7) samples showed a variation from practical resistance to weak susceptibility (damage from 2.5 to 19.1%), and the Korol sample (Run 14) – from weak to strong susceptibility. The assessment of the stability of the varieties included in the GR of the Russian Federation and the hybrid material of the laboratory for the breeding of grain crops showed that most forms are affected from a weak to medium degree. The Omsk 102 variety, included in the GR of the Russian Federation since 2023, has confirmed its resistance to dusty smut. In the hybrid material, samples with practical stability and mild damage were isolated – Nutans 4945 and Nutans 4926. Among the collection material, resistant numbers were identified: Suzdalets (k-30314), Zadel, Vityaz (RF), Himalayen (k-15549), Galt (k-19910), Bonanza (k-21661) all from Canada, etc. The listed samples are recommended as sources of stability for inclusion in the breeding process when creating resistant varieties for cultivation in the Omsk region.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.181
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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