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BACTERIAL STRAINS ANTAGONISTIC TO Pyrenophora tritici-repentis in vitro DEMONSTRATE DIFFERENT EFFICACY ON WHEAT SEEDLING IN GREEN HOUSE

2015· article· en· W2039164206 on OpenAlexaboutno aff
О. Yu. Kremneva, А. М. Асатурова, M. D. Zharnikova, Г. В. Волкова

Bibliographic record

VenueSel skokhozyaistvennaya Biologiya · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
FundersMinistry of Education and Science of the Russian Federation
KeywordsPyrenophoraSeedlingBiologyIn vitroGreen houseBotanyAgronomyMicrobiologyHorticultureGeneticsCultivar

Abstract

fetched live from OpenAlex

Yellow leaf spot is a wide spread diseases of soft and hard wheat. Numerous publications and the authors' own research show that its epiphytotics occur in different countries (Australia, Canada, USA, India, England, Belgium, Romania, Czech Republic, Kazakhstan) with crop losses reaching 65 %. In Russia the disease is most common in the North Caucasus. Development and application of new high-performance environmentally friendly biological products is regarded as one of the most effective biologized approach to wheat protection against the disease. In searching potential bacterial agents for use as protective means, their in vitro antagonistic activity should be accompanied by the ability to provide effective protection for seeds and seedlings. Herein we studied the repression of yellow spot development during early stages of plant vegetation in a greenhouse as influenced by the bacterial strains which were in vitro antagonistic to P. tritici-repentis (Died.) Drechsler. Winter wheat cultivar Bat'ko susceptible to the pathogen was used as test plant. Six isolates of the Bacillus family (Bacillus sp. BZR 18, B. subtilis BZR 336 s, B. subtilis BZR 336 g, B. subtilis BZR 436, B. subtilis BZR 517, B. licheniformis BZR 59), as well as Ochrobactrum sp. BZR 417 from the collection of All-Russian Research Institute of Biological Plant Protection were used as candidate bio agents. For comparison, liquid Fitosporin-M was used as a biological preparation (LLC Scientific Innovation Enterprise BashInkom, Russia) and Prozaro emulsion concentrate was used as a chemical fungicide (Bayer CropScience, Germany). Liquid cultures of antagonistic bacterial strains were applied in three modes, namely before inoculation (prophylactic treatment), at early signs of the disease (on the day 3 after inoculation) and by their combination. All treatments were performed with inlaying and without inlaying grain with liquid bacterial culture. All studied bacterial strains except Ochrobactrum sp. BZR 417 showed considerable biological efficacy of leaf spot inhibition. The Bacillus sp. BZR 18 and B. subtilis BZR 517 were the most inhibiting strains which repressed leaf spot development at 68.5 to 83.0 % and 55.6 to 64.0 % rate, respectively, in all variants except treatment at early signs of the infection without inlaying grains when the efficiency was 26.8 and 35.9 %, respectively. B. licheniformis BZR 59 provided for 52.6 to 68.9 % leaf spot inhibition. Liquid culture of B. subtilis BZR 336 g strain ensured efficiency from 51.5 to 58.3 % in all variants except a preventive treatment without inlaying grain when the efficiency was 40.9 %. B. subtilis BZR 336 s, if used at early signs of infection with inlaying grain and in combination of prophylactic treatment with application at early signs of infection and inlaying grain, caused 60.2 and 60.3 % leaf spot repression; in other cases a 14.7 to 44.3 % repression was observed. BZR 436 B. subtilis effectiveness was from 28.4 % under preventive treatment with preliminary grain inlaying to 73.4 % under preventive treatment together with application at early signs of infection and inlaying grain. The efficiency of Ochrobactrum sp. BZR 417 strain does not exceed 45.4 % in all variants. Depending on antifungal activity of the bacterial agent, a combination of grain pre-treatment, prophylactic treatment and treatment at early signs of infection proved to be the most effective.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.244
Teacher spread0.201 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations5
Published2015
Admission routes1
Has abstractyes

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