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Record W1488172933 · doi:10.1071/ar02132

Do farming practices influence the incidence of Childers canegrubs, <i>Antitrogus</i> <i>parvulus</i> Britton (Coleoptera : Scarabaeidae)?

2003· article· en· W1488172933 on OpenAlexfundno aff
P. G. Allsopp, Timothy W. A. Fischer, G. S. Bade, David J. Dall

Bibliographic record

VenueAustralian Journal of Agricultural Research · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEntomopathogenic Microorganisms in Pest Control
Canadian institutionsnot available
FundersCommonwealth Scientific and Industrial Research OrganisationAustralian GovernmentMcGill University
KeywordsCropBiologyScarabaeidaeAgronomySowingTillageCrop residueCrop rotationToxicologyAgricultureEcology

Abstract

fetched live from OpenAlex

The impact of farming practices on numbers of Childers canegrubs was determined in southern Queensland by a survey of 441 field–year combinations that related practices to the numbers of second- and third-instar larvae in those fields, and by a field experiment that tested combinations of insecticide application, cultivation practices, and crop-residue retention on numbers of larvae and associated entomopathogens. There were significant differences in levels of infestation among years, soil types, crop ages, cultivars grown, insecticide-use strategies, crop-replacement strategies, intensity and frequency of tillage during crop replacement, and irrigation strategies. In the field trial, numbers of third-instar larvae declined as the larvae aged, probably through infection by the fungus Metarhizium anisopliae and the protozoan Adelina sp. Application at planting of the controlled-release insecticide suSCon Blue had an immediate effect on the number of larvae carried over from the previous crop cycle and this effect continued into the second-ratoon crop. The insecticide application increased cane and sugar yields, particularly in the first-ratoon crop. More intensive pre-planting tillage initially reduced numbers of larvae, but the effect did not continue into the ratoon crops. Management of crop residues had no consistent effect on numbers of larvae, but cane yields were higher and sugar content lower in the second-ratoon crop when residues were retained, and led to higher sugar yields where suSCon Blue had been applied. In general, long breaks between successive sugarcane crops, coupled with intensive tillage in that break and application of controlled-release insecticide, will reduce subsequent populations of larvae. The alternative strategy of herbicide destruction of the previous crop, long fallow with minimum tillage, replanting without controlled-release insecticide, and prudent use of transient insecticides in heavily infested ratoon crops will also minimise numbers and may allow better survival of entomopathogens. These strategies have been integrated into management practices attractive to growers.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.048
GPT teacher head0.324
Teacher spread0.276 · 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 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

Citations12
Published2003
Admission routes1
Has abstractyes

Explore more

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