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Record W2945214461 · doi:10.1111/jph.12816

Antifungal effects of dimethyl trisulfide against <i>Colletotrichum gloeosporioides</i> infection on mango

2019· article· en· W2945214461 on OpenAlex
Lihua Tang, Jianyou Mo, Tangxun Guo, Suiping Huang, Qili Li, Ping Ning, Tom Hsiang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Phytopathology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsUniversity of Guelph
FundersNatural Science Foundation of Guangxi ProvinceNational Natural Science Foundation of China
KeywordsColletotrichum gloeosporioidesAppressoriumPostharvestAntifungalBiologyConidiumColletotrichumFungi imperfectiDimethyl trisulfideInoculationMicrobiologyBotanyHorticultureChemistry

Abstract

fetched live from OpenAlex

Abstract Colletotrichum gloeosporioides , one of the main agents of mango anthracnose, causes latent infections in unripe mango and can lead to huge losses during fruit storage and transport. Dimethyl trisulfide (DMTS) is an antifungal agent produced by several microorganisms or plants, but its effects on the infection process of C. gloeosporioides have not been well characterized. A histological investigation demonstrated that DMTS exhibits strong inhibitory effects on the infection process of C. gloeosporioides in planta by inhibiting the germination of conidia and formation of appressoria, damaging cytoplasm to cause cells to vacuolate and contributing to deformation of appressoria prior to penetration. This is the first study to demonstrate antifungal activity of DMTS against C. gloeosporioides on mango by suppression of the infection process, thus providing a novel postharvest biorational control for mango anthracnose.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.552

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 head0.003
GPT teacher head0.214
Teacher spread0.211 · 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