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Record W2110512952 · doi:10.5109/9242

Current Status of Insect Pests Attacking Green Bunching Onion in Central and Southern Vietnam

2006· article· en· W2110512952 on OpenAlexaff
Takatoshi Ueno

Bibliographic record

VenueJournal of the Faculty of Agriculture Kyushu University · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGarlic and Onion Studies
Canadian institutionsNutrasource
FundersĐại học Huế
KeywordsInsectBiologyAgroforestryBotanyGeography

Abstract

fetched live from OpenAlex

Green bunching onion (or Welsh onion) Allium fistulosum is traditionally an important vegetable in Vietnam. The present study was undertaken to survey the current status of insect pests on green bunching onion in the country. Survey was conducted in conventional fields in central and southern Vietnam. The most widespread pest was Stone leek leafminer Liriomyza chinensis, which occurred all lowland sites investigated except Da Lat, a highland site in central Vietnam. Although insecticides were intensively applied, the percentage of the occurrence in green onion fields was 100% in Bien Hoa, Hue, Huong An, and Quang Nam. In Dalat, L. huidobrensis instead was widely found in Allium fistulosum and A. cepa. Serious infestation by lepidopterans often occurred, and the main species was beet armyworm Spodoptera exigua, which was widely found in lowland areas. Infestation by S. exigua was heavier in summer than in spring. Damage by S. litura was observed in all localities. Helicoverpa armigra infested green bunching onion in Hue though it was rare. Thrips were rather a minor pest though it was abundant in Quang Nam. No pest aphids were confirmed. Taken together, management of leafminer and lepidopteran pests is crucial to stable production of marketable green bunching onions. Current problems associated with insect pest control in Vietnam are discussed, and the importance of IPM practices is emphasized. A series of color photographs of pests and the damage they can cause are presented to facilitate identification of the pest.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.373

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 head0.019
GPT teacher head0.208
Teacher spread0.190 · 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

Citations18
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Faculty of Agriculture Kyushu UniversitySame topicGarlic and Onion StudiesFrench-language works237,207