Use of geometric morphometrics to differentiate selected lines of Carniolan honeybees (Apis mellifera carnica) in Serbia and Montenegro

Author:

Rasic Sladjan1,Mladenovic Mica1,Stanisavljevic Ljubisa2ORCID

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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3