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Record W2290268000

Kålgallmygga, Contarinia nasturtii Kieffer : en växtskadegörare på kål

2005· other· en· W2290268000 on OpenAlexaboutno aff

Bibliographic record

VenueEpsilon Archive for Student Projects (University of Southampton) · 2005
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pheromone Research and Control
Canadian institutionsnot available
Fundersnot available
KeywordsPhysics
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to examine what problems cabbage growers have with the
\nSwede Midge. The last few years the Swede Midge, Contarinia nasturtii, has become
\na larger problem for cabbage growers in several countries in Europe as well as in
\nSweden. In Canada the problems are so severe that the midge is classified as a
\nquarantine pest and therefore certain rules have to be followed. I have collected facts
\nof the biology, host plants and reproduction of the Swede Midge, as well as the
\ngrowers experiences and the occurrence of the midge in Canada, Europe and Sweden.
\nThe Swede Midge is hard to control because of its short life cycle and the larvae are
\nprotected between the heartleaves of the plant. When the larva feeds on the growth
\npoint the plant becomes distorted, in some cases several heads develop or none at all.
\nWhen the midge infests spring rape its flower buds become undeveloped and rosette
\nlike. By severe infestations in spring rape the fields can re-flower later during the
\nseason. In Sweden the midge has two to three generations per year. The larvae
\noverwinter in the soil for about 1-2 years.
\nI have counted midges caught in the pheromone traps, placed in fields of winter
\nwheat, spring rape and cabbage by Växtskyddscentralen, Alnarp, 2005, to get a
\npicture of the generations and reproduction of the Swede Midge. The results show that
\na large amount of midges overwinter in the spring rape fields and hatch the following
\nyear. Then the midges fly to new hostplants and start a new generation. If there are
\ncabbage fields nearby, the next generation of the Swede Midge can cause severe
\ndamage. An investigation was made in the 1970's in Skåne and Blekinge, which
\nshowed that the infestations were severe. Already then it was established that a large
\nincrease of the midge population in spring rape could lead to huge consequences for
\nthe cabbage grower. The pheromone traps in the cabbage fields show that if cabbage
\nis grown year after year or on a field nearby, the population is kept alive.
\nThe chemical control should be directed towards the adult midges. However, today
\nthere is no good method of actually knowing when the midge flies. The pheromon
\ntraps have made it possible to start the development of a monitoring system. Research
\nand trials are in progress to optimize the pesticide treatment to the flight peaks and to
\nprevent egg-laying. Still there are some preventive measures to be taken, such as crop
\nrotation, controlling weeds and field selection.
\nExcept developing a reliable monitoring system, further knowledge of the
\noverwintering of the larvae in the soil and of its natural enemies is needed. Together
\nwith the preventive measures it is possible to find new ways of controlling the Swede
\nMidge and hopefully to reduce the use of pesticides.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.011
GPT teacher head0.217
Teacher spread0.207 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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