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Record W2219014622 · doi:10.21753/vmoa.2.4.353

Africanization of honey bees (Apis mellifera) in three climatic regions of northern Mexico

2015· article· en· W2219014622 on OpenAlexaff
Carlos Aurelio Medina-Flores, Ernesto Guzmán‐Novoa, M. M. Hamiduzzaman, Jairo Iván Aguilera-Soto, Marco Antonio López-Carlos

Bibliographic record

VenueVeterinaria México OA · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsTemperate climateBiologyEcologyHoney beeMitochondrial DNAHoney BeesZoology

Abstract

fetched live from OpenAlex

This study was conducted to analyze the process of Africanization of managed honey bee (Apis mellifera) colonies by determining the frequency of African and European morphotypes and mitotypes (mtDNA) in three different ecological environments of northern Mexico. Colonies (n= 151) were sampled in 1) temperate semi-dry; 2) semi-warm semi-dry; and 3) temperate sub-humid regions in the state of Zacatecas. The mtDNA type was determined by PCR-RFLP and the morphotype by the Fast Africanized Bee Identification System (FABIS). Out of all the colonies sampled in all areas, the mtDNA analysis showed a significantly higher frequency of European maternal lineage (77.5%) than of African maternal lineage (22.5%; P <0.0001). The morphometric analysis classified 47% of the colonies as European and 42.4% of them as Africanized. The frequency of colonies with African or European mitotypes and morphotypes varied significantly between regions (P <0.05) with results indicating a higher degree of Africanization in the semi-warm semi-dry region. Conversely, the highest frequency of colonies with the European morphotype and mitotype occurred in the temperate semi-dry region. These results suggest that the environment affects the degree of Africanization of honey bee colonies in northern Mexico. Colonies established at higher altitudes and in more temperate climates have more European genotypes than colonies established in tropical regions. Several hypotheses are discussed to explain these results.

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 score0.470
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

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

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 head0.091
GPT teacher head0.281
Teacher spread0.189 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueVeterinaria México OASame topicInsect and Pesticide ResearchFrench-language works237,207