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Record W2160140601 · doi:10.5539/jas.v6n5p26

Colonization of Streptomyces felleus YJ1 and Its Effects on Disease Resistant-Related Enzymes of Oilseed Rape

2014· article· en· W2160140601 on OpenAlexvenueno aff
Guanglong Cheng, Fan Liu, Yun Huang, Hui Yang, Jia Yao, Huirong Shen, Jie Xu

Bibliographic record

VenueJournal of Agricultural Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsSclerotinia sclerotiorumColonizationBiologyAntagonismInoculationPoint of deliveryStreptomycesEnzymeStem rotHorticultureBotanyMicrobiologyBacteriaBiochemistry

Abstract

fetched live from OpenAlex

Streptomyces felleus YJ1 has strong antagonism against Sclerotinia sclerotiorum, and it can be used for preventing this fungal disease in oilseed rape in the greenhouse. Under greenhouse conditions, we determined the colonization dynamic variation of YJ1 in soil and rape; and the changes of defensive enzymes of rape induced by YJ1 were measured. The results showed that, YJ1 could colonize chronically in soil; and it could also colonize in roots of rape and conduct to the stem and leaves, suggesting good colonization potential. After the rapes were processed by YJ1 fermentation liquid broth, the changes of defensive enzymes (SOD, PPO, POD etc.) in rape were measured. The results showed that, the activities of defensive enzymes changed significantly, especially in the four days later, the SOD, POD, PPO and PAL activities were significantly higher than that of inoculated with S. sclerotiorum and control, and maintained at a high level. Those results indicated that induced systemic resistance of rape maybe one of antagonistic mechanism of YJ1 against S. sclerotiorum.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.006
GPT teacher head0.187
Teacher spread0.182 · 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 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
Published2014
Admission routes1
Has abstractyes

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