Affiliation:
1. Faculty of Agriculture, Belgrade
2. Faculty of Biology, Institute of Zoology, Department of Invertebrate Zoology and Entomology, Belgrade
Abstract
In a selection of honeybees from autochthonous ecotypes, different lines must
be identified. Honeybee lineages are usually distinguished by classical
morphometrics and molecular markers, but these approaches are both costly and
time-consuming to implement. Recognition of the purity of races is very
important for regional and country regulations to allow a sustainable
conservation of the huge variety of local honeybees. A geometric morphometric
approach has been frequently used. In this work, honeybee samples were
collected from stationary apiaries (belonging to the centers for honeybee
queen selection) from two different Serbian areas: Vrsac (northeastern
Serbia, mostly flatland) and Vranje (southern Serbia, mostly mountainous),
and two different Montenegrin areas: Bijelo Polje (northern Montenegro,
mountainous region) and Sutomore (southern Montenegro, coastal region). Each
sample consisted of 150 honeybee workers, collected from 10 hives (15
specimens each). On the honeybee left forewings, a total of 19 vein
intersections were used to determine the differences among the honeybees
using MorphoJ 1.4a software. Canonical variate analysis (CVA) slightly
separated the honeybee lines into one overlapping cloud of specimens at the
individual level. The first canonical variable (60.57% of the total
variability) discriminated mainly between Bijelo Polje and Sutomore honeybee
lines. Therefore, on the colony level, CVA separated all four groups of
breeding honeybee lines. The results show that geometric morphometrics are
reliable in the discrimination of honeybee lines within subspecies only at
the colony level.
Funder
Ministry of Education, Science and Technological Development of the Republic of Serbia
Publisher
National Library of Serbia
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献