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Record W1794831097 · doi:10.7202/1027062ar

Gradation et régulation de Lymantria dispar L. (Lepidoptera, Lymantriidae) avec Bacillus thuringiensis Berliner var. kurstaki dans les subéraies du centre et de l’est algérien

2014· article· fr· W1794831097 on OpenAlexvenueno aff
Mohamed Zamoum, Mohamed Khemici, Rachid Bahmane

Bibliographic record

VenuePhytoprotection · 2014
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsLymantria disparBacillus thuringiensisForestryLepidoptera genitaliaBiologyGeographyBotany

Abstract

fetched live from OpenAlex

Lymantria dispar (Lepidoptera, Lymantriidae) est l’un des insectes les plus redoutables pour les subéraies algériennes. Le recensement des superficies infestées entre 1968 et 2013 a mis en évidence trois principaux pics de culmination en 1977, 1987 et 1996 qui ont conduit à la défoliation de 13 445, 28 157 et 20 793 ha de forêts, respectivement. Les forêts littorales de l’est algérien semblent les plus vulnérables. Pour la première fois en Algérie, un essai à l’aide de deux produits à base de Bacillus thuringiensis Berliner var. kurstaki ( Btk ) de sérotype 3a-3b à la concentration de 16 000 unités internationales par milligramme (UI/mg) a été réalisé sur les premiers stades larvaires de l’insecte dans trois foyers infestés afin de déterminer les conditions optimales d’utilisation de bio-insecticides en subéraie. Les relevés effectués 20 j après la pulvérisation par hélicoptère ont montré que la mortalité du premier au troisième stade larvaire a atteint au moins 90 % dans les zones traitées. L’élevage des chenilles et des chrysalides survivantes au traitement a permis de constater une mortalité différée entre 16,0 % et 38,8 % dans les foyers traités. La mortalité nymphale était principalement causée par les hyménoptères, les diptères et les microorganismes pathogènes.

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 categoriesMeta-epidemiology (narrow)
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 score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0010.000
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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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