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DISEASE CAUSING PHYTOPATHOGENIC MICROMYCETES IN CITRUS IN UZBEKISTAN

2021· article· en· W4200502445 on OpenAlexfundno aff
B. I. Turaeva, Azamjon B. Soliev, Nodira S.Q. Azimova, G. J. Kutlieva, Khurshida M. Khamidova, Nigora Y. Zuxritdinova

Bibliographic record

VenuePakistan Journal of Phytopathology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
FundersInstitute of Genetics
KeywordsBiologyFungal diseaseDiseaseBotanyHorticulture

Abstract

fetched live from OpenAlex

This research work provides information on phytopathogenic micromycetes that cause major and emerging diseases posing a significant threat to the cultivation of citrus in Uzbekistan. The purpose of the study is to develop strategies for the management of diseases by biological methods and to improve the methods of eliminating the causative agents of diseases, as well as to determine the effectiveness of micromycetes with high antifungal properties in the cultivation of citrus. The issues affecting the citrus industry and scientific recommendations to overcome those issues are discussed. Micromycetes of phytopathogens that cause diseases in the roots, rhizosphere and leaves of lemon and tangerine in closed ground conditions, including Fusarium vasinfectum, Verticillium dahliae, Alternaria alternata, F . semefectum , Aspergillus oryzae , A . flavus , Penicillium funiculosum , F . sporotrichiella , Aspergillus sp. , A . terreus , P . chrysogenum , P . digitatum , F . solani, P . sp. 1 , A . sp. 2 , A . sp. 3 , F . sp. 1, P . sp. 2, F . sp. 2, A . sp. 4, F . sp. 3 were identified.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.265
Teacher spread0.255 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

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