scholarly journals IDENTIFICATION OF THE HONEYBEE SUBSPECIES FROM SOME ROMANIAN COUNTIES USING A SEMIAUTOMATIC SYSTEM FOR ANALYZING WINGS

2018 ◽  
Vol 6 ◽  
pp. 1124-1128
Author(s):  
Elena Buescu ◽  
Maria Rodica Gurau ◽  
Doina Danes

Morphometric analysis of honeybee wings can be used to discriminate between honeybee subspecies. The classic morphometric methods used to identify honeybee subspecies are time consuming while geometric morphometric analysis are proven to be more efficient and rapid for the identification of honeybee subspecies.  Even if the geometric morphometric analysis involves several steps such as: obtaining the image of the honeybee wing,  processing the wings image (settlement of the 19 points), classification and validation, in terms of consumed time,it  takes less than classic morphometric methodes and it is easier to apply. The aim of this study was to identify honeybee subspecies from the Romanian South-Eastern area, using the geometric morphometric method. To accomplish this, the semiautomated French system ApiClass was used. This system  allows us to identify the honeybee subspecies based on the wing's image of the Apis mellifera honeybee worker. The program is using the recent approaches of geometric morphometry and is analyzing the wing considering 19 points  corresponding to the intersections of the main veins of the bee forewings. These coordinates are processed by the system before being analyzed  after which the system returns the probability of  the analyzed honeybee belonging to one of the honeybee subspecies from its reference system. The system has more than 5000 honeybee wing references  off the main lines and honeybee subspecies.  Using this system we analyzed  samples from the counties of Braila, Buzau, Galati and Ilfov. Each sample was composed from wings of  20 honeybees. Most of the analyzed samples were identified as hybrids without being possible  to specify the type or the level of the hybridization: only three samples were identified as being Apis mellifera carnica presenting a homology degree over 90%.

2020 ◽  
Vol 13 (3) ◽  
pp. 282-289
Author(s):  
Meral KEKEÇOĞLU ◽  
Merve KAMBUR ◽  
Münir UÇAK ◽  
Tuğçe ÇAPRAZLI ◽  
Songül BİR

2020 ◽  
Vol 8 ◽  
Author(s):  
Paweł Węgrzynowicz ◽  
Aleksandra Łoś

Wing venation is used as a tool in honeybee (Apis mellifera L., 1758) subspecies identification. The presented dataset concerns nineteen landmarks located at honeybee worker's forewing vein junctions. Landmarks of Apis mellifera caucasica Pollmann, 1889, A. mellifera carnica Pollmann, 1879 and A. mellifera mellifera Linnaeus, 1758, their hybrids and backcrosses were measured. In total, data from 9590 wings were collected. The dataset could be used in geometric morphometric analysis, studies of degree of inheritance of morphological features and, after further development and supplementation with other local subspecies and hybrids, can contribute to in-depth evolutionary research on honeybees. Baseline dataset for wing venation of hybrids and backcrosses of A. mellifera carnica, A. mellifera caucasica and A. mellifera mellifera.


2020 ◽  
Vol 53 (3) ◽  
pp. 378-378
Author(s):  
Choy Ker Woon ◽  
Nurul Aiman Abu Jamal ◽  
Muhamad Nasim Ilmi Mohd Noor ◽  
Syiral Mastura Abdullah ◽  
Nurjehan Mohamed Ibrahim ◽  
...  

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Abdelnasser Ibrahim ◽  
Aspalilah Alias ◽  
Mohamed Swarhib Shafie ◽  
Faridah Mohd Nor

The present systematic review explores the most sexually dimorphic parameters by using geometric morphometric analysis of human skull. An extended search was conducted in Google Scholars and PubMed (published between 2005 and 2017). The main inclusion criteria were research articles published in English, and studies that used geometric morphometric analysis for classification of human skull. The literature search identified 54 potential relevant articles whereby, five had met the inclusion criteria. Most studies reported positive contribution of geometric morphometric as an alternative and accurate tool for classification of unknown human crania. Geometric morphometric method resulted in a high classification accuracy of sexual dimorphism among different populations. Further studies are required to approach the best method used for varied types of postcranial bones equipped with a more advanced meta-analysis of the results.


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