A review of methods for discrimination of honey bee populations as applied to European beekeeping

Download

Date

2011-01-01

Author

Bouga, Maria
Alaux, Cedric
Bienkowska, Malgorzata
Buechler, Ralph
Carreck, Norman L.
Cauia, Eliza
Chlebo, Robert
Dahle, Bjorn
Dall'Olio, Raffaele
De la Rua, Pilar
Gregorc, Ales
Ivanova, Evgeniya
Kence, Aykut
Kence, Meral
Kezic, Nikola
Kiprijanovska, Hrisula
Kozmus, Peter
Kryger, Per
Le Conte, Yves
Lodesani, Marco
Murilhas, Antonio Manuel
Siceanu, Adrian
Soland, Gabriele
Uzunov, Aleksandar
Wilde, Jerzy

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

128
views

0
downloads

Here, scientists from 19 European countries, most of them collaborating in Working Group 4: "Diversity and Vitality" of COST Action FA 0803 "Prevention of honey bee COlony LOSSes" (COLOSS), review the methodology applied in each country for discriminating between honey bee populations. Morphometric analyses (classical and geometric) and different molecular markers have been applied. Even if the approach has been similar, however, different methodologies regarding measurements, landmarks or molecular markers may have been used, as well as different statistical procedures. There is therefore the necessity to establish common methods in all countries in order to have results that can be directly compared. This is one of the goals of WG4 of the COLOSS project.

Subject Keywords

Honey bee, Beekeeping, Sub-species, Morphometrics, DNA, Isoenzymes

URI

https://hdl.handle.net/11511/57629

Journal

JOURNAL OF APICULTURAL RESEARCH

DOI

https://doi.org/10.3896/ibra.1.50.1.06

Collections

Department of Biology, Article

Suggestions

OpenMETU
Core

A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees Stefanec, Martin; Hofstadler, Daniel N.; Krajnik, Tomas; Turgut, Ali Emre; Alemdar, Hande; Lennox, Barry; Şahin, Erol; Arvin, Farshad; Schmickl, Thomas (2022-04-01) Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and interacting with the queen bee, a central colony element, has the potential to change the collective behavior of the entire colony and thus also improve its interaction with the surrounding ecosystem. Such a system can be used to study and understand many elements of bee behavior within hi...
Robust optimization of risk-aware, resilient and sustainable closed-loop supply chain network design with Lagrange relaxation and fix-and-optimize Lotfi, Reza; Sheikhi, Zohre; Amra, Mohsen; AliBakhshi, Mehdi; Weber, Gerhard Wilhelm (2021-12-01) This study explores a Robust, Risk-aware, Resilient, and Sustainable Closed-Loop Supply Chain Network Design (3RSCLSCND) to tackle demand fluctuation like COVID-19 pandemic. A two-stage robust stochastic multiobjective programming model serves to express the proposed problems in formulae. The objective functions include minimising costs, CO2 emissions, energy consumption, and maximising employment by applying Conditional Value at Risk (CVaR) to achieve reliability through risk reduction. The Entropic Value ...
Differential diagnosis of the honey bee trypanosomatids Crithidia mellificae and Lotmaria passim Ravoet, Jorgen; Schwarz, Ryan S.; Descamps, Tine; Yanez, Orlando; Tozkar, Cansu Ozge; Martin-Hernandez, Raquel; Bartolome, Carolina; De Smet, Lina; Higes, Mariano; Wenseleers, Tom; Schmid-Hempel, Regula; Neumann, Peter; Kadowaki, Tatsuhiko; Evans, Jay D.; de Graaf, Dirk C. (2015-09-01) Trypanosomatids infecting honey bees have been poorly studied with molecular methods until recently. After the description of Crithidia mellificae (Langridge and McGhee, 1967) it took about forty years until molecular data for honey bee trypanosomatids became available and were used to identify and describe a new trypanosomatid species from honey bees, Lotmaria passim (Evans and Schwarz, 2014). However, an easy method to distinguish them without sequencing is not yet available. Research on the related bumbl...
An analysis of the incidence of measles in Turkey since 1960 Caliskan, Deniz; Piyal, Birgul; Akdur, Recep; Ocaktan, Mine Esin; Yozgatlıgil, Ceylan (2016-01-01) Background/aim: The aims of this study were to evaluate measles incidence and the effect of elimination strategy interventions on the disease from 1960 to 2014 in Turkey. The administration of measles vaccine started in the rural regions in 1970; it was carried out as a campaign along with the National Vaccine Campaign in 1985, and it has been employed as combined measles, mumps, and rubella under the scope of the Measles Elimination Program (MEP) since 2006 in Turkey. While a dramatic decrease in the repor...
Determination and comparison of genetic variation in honey bee (Apis mellifera L.) populations of Turkey by Random Amplified Polymorphic DNA and microsatellite analyses Ivgin Tunca, Rahşan; Kence, Meral; Department of Biology (2009) We analyzed a total of 760 worker bees, two samples per colony, 390 colonies in 26 provinces in Turkey to determine and compare the genetic variation of Turkish honey bee (Apis mellifera L.) populations using 10 primers for RAPD and 6 microsatellite loci. Mean gene diversity levels ranged from 0.035 (Sanlıurfa) to 0.175 (Antalya) for RAPD and 0.449 (Muğla) to 0.739 (Artvin) for microsatellite markers. Private band patterns and alleles, pairwise FST values support that the Anatolian honey bees belong to C li...

Citation Formats

M. Bouga et al., “A review of methods for discrimination of honey bee populations as applied to European beekeeping,” JOURNAL OF APICULTURAL RESEARCH, pp. 51–84, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57629.