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Record W4389946086 · doi:10.19136/era.a10n3.3457

Efectos altitudinales en la africanización de las colonias de abejas melíferas (Apis mellifera L.) en Jalisco, México

2023· article· es· W4389946086 on OpenAlexaff
Francisca Luque Contreras, Ana Karen Ramos-Cuellar, Álvaro De la Mora, Nuria Morfín, José María Tapia-González, José Octavio Macías-Macías, Tatiana Petukhova, Adriana Correa-Benítez, Ernesto Guzmán‐Novoa

Bibliographic record

VenueEcosistemas y Recursos Agropecuarios · 2023
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

México es de los principales productores y exportadores de miel de abejas (Apis mellifera L.) a nivel mundial y el estado de Jalisco se encuentra entre los tres primeros productores a nivel nacional. Sin embargo, la apicultura mexicana es afectada por el alto comportamiento defensivo y menor productividad de las abejas africanizadas en comparación con abejas europeas. El objetivo de este estudio fue determinar la ancestría africana o europea de colonias de abejas melíferas en seis regiones de clima templado y subtropical en el estado de Jalisco, México, mediante análisis morfométricos y de ADN mitocondrial. Más del 50% de las colonias de abejas de Jalisco tuvieron mitotipo y morfotipo africano (59.0 y 62.5%, respectivamente). La frecuencia de africanización de las colonias fue significativamente mayor (p < 0.05) en regiones de baja altitud y climas subtropicales (regiones Sureste y Suroeste), que en regiones de mayor elevación y en climas templados (región de los Altos). Hubo correlación significativa entre la longitud del ala de las abejas y la altitud a la que se encontraban las colonias (r = 0.51, p < 0.01); esto indica que a menor altitud hay un mayor grado de africanización de las abejas. Se recomiendan realizar estudios para determinar si el grado de africanización de las colonias de abejas aumenta o se mantiene en equilibrio, lo que permitirá diseñar estrategias de amortiguamiento de los efectos negativos de la africanización de las abejas melíferas.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.283
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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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