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Record W2111922712 · doi:10.5539/ijb.v2n1p165

A Study on Laboratory Rearing of Lady Bird Beetle (Coccinella Septempunctata) to Observe Its Fecundity and Longevity on Natural and Artificial Diets

2010· article· en· W2111922712 on OpenAlexvenueno aff
Muhammad Ashraf, Muhammad Ishtiaq, Muhammad Usman Asif, Muhammad Adrees, Muhammad Nauman Ayub, Tariq Mehmood, Muhammad Naeem Awan

Bibliographic record

VenueInternational Journal of Biology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsCoccinella septempunctataLongevityFecundityBiologyInstarToxicologyPredationEcologyPredatorZoologyLarvaCoccinellidaePopulationDemography

Abstract

fetched live from OpenAlex

Development and reproductive potential of the Coccinella septempunctata L. (CSL) was conducted underlaboratory conditions to determine its fecundity and longevity on natural and artificial diets. Tests were made onlaboratory rearing materials and all development stages were carefully recorded. Success ratios in theseexperiments were a matter of logistic and synchronization of these life cycles, the plant phytophagous andentomophagous insects. A positive correlation was obtained between food consumption and egg production, sofecundity of CSL is affected by the type of food. CSL consumed highly significant (Rhopalosiphum maidis) 32.2aphids per day as compared to other treatments. Oviposition response was the maximum on these beetles whichconsumed 1st and 2nd instars of Macrosiphon roseae. CSL reared under artificial diet showed more longevity 41.6days on plain water. Greater emphasis was pertinent on evaluation of predator specificity, understanding ofcolonization in new environments and assessment of community-level interactions to maximize the use ofCoccinellids in Biological Control (BC).

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 score0.889
Threshold uncertainty score0.148

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 head0.030
GPT teacher head0.292
Teacher spread0.262 · 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

Citations13
Published2010
Admission routes1
Has abstractyes

Explore more

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