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Record W1554942215 · doi:10.5154/r.rchscfa.2013.08.028

Frecuencia de varroosis y nosemosis en colonias de abejas melíferas (Apis mellifera) en el estado de Zacatecas, México

2014· article· es· W1554942215 on OpenAlexaff
Carlos Aurelio Medina-Flores, Ernesto Guzmán‐Novoa, Laura G. Espinosa-Montaño, José L. Uribe-Rubio, Ramón Gutiérrez-Luna, Francisco J. Gutiérrez-Piña

Bibliographic record

VenueRevista Chapingo serie ciencias forestales y del ambiente (en línea)/Revista Chapingo serie ciencias forestales y del ambiente · 2014
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyHoney BeesBotany

Abstract

fetched live from OpenAlex

El objetivo del trabajo fue determinar la frecuencia y grado de infestación de varroosis (Varroa destructor) e infección de nosemosis (Nosema spp.) en colonias de abejas (Apis mellifera) del estado de Zacatecas, durante el otoño y la primavera. Se inspeccionaron 299 colonias comerciales de abejas distribuidas en 15 municipios pertenecientes a tres zonas ecológicas: 1) zona semiseca templada, 2) zona semiseca semicálida y 3) zona subhúmeda templada. La prevalencia general fue 2.3 % para la nosemosis y 88 % para la varroosis. El nivel de infestación de varroa varió significativamente (P = 0.05) entre el otoño y la primavera, y entre zonas sólo varió en la primavera (P < 0.001). Durante el otoño, 44 % de las colonias presentaron niveles de infestación ≥ 5 %, mientras que en la primavera sólo 28 % superó dicho nivel. Nosema spp. se observó solamente en 4.7 % de la población analizada en primavera; la mayoría de los casos (86 %) se detectó en la zona semiseca semicálida. Los resultados indican que la varroosis es la parasitosis más común de las abejas melíferas adultas en Zacatecas. La nosemosis no representa un problema serio para la apicultura de la entidad, debido a la baja frecuencia.

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)0.014
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.008
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.007
Science and technology studies0.0050.004
Scholarly communication0.0050.003
Open science0.0080.003
Research integrity0.0030.004
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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2014
Admission routes1
Has abstractyes

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