{"title":"辨别土耳其蜜蜂(Apis mellifera L.)种群的新形态计量学方法","authors":"Meral KEKEÇOĞLU, Songül BİR, Merve KAMBUR","doi":"10.33462/jotaf.1213163","DOIUrl":null,"url":null,"abstract":"Today, 29 subspecies have been defined, each of which is adapted to a certain set of environmental characteristics, spreading all over the world except Antarctica. Many morphological and morphometric features have been used to classify honey bees from the past to the present. It has been reported that features such as length, angle and indices coming from the front wings are very efficient for classification. In recent studies, various programs have been developed and automatic classification has been attempted through the images of bee wings. This study aimed to determine the naturally occurring honey bee biodiversity in Turkiye by measuring 7 areas (A1, A2, A3, A4, A5, A6, A7) on the right front wing. For this purpose, a total of 3392 worker bee samples were collected from 143 colonies in 19 provinces of Turkiye. The photographs of the prepared preparations were taken at 1X magnification with the BAB camera system connected to the BAB STR45 stereozoom microscope. The measurements of 7 areas on the right front wings of honey bee populations distributed in Turkiye were made automatically in the BAB Bs200ProP program. Colony averages of the raw data of the area measurements of each province were taken and the results were evaluated with Discriminant Function Analysis (DFA) in the SPSS.15 package program. Multivariate analysis of variance (MANOVA) was applied to separate the groups to determine the variation within and between groups. As a result of this study, the minimum total area was seen in Van at 4.51 and the maximum total area was seen in Ardahan at 5.76. The average size of the measured areas decreased from the north-east to the south of Turkiye. Area measurements on the forewing were found to be a marker for distinguishing Anatolian (A. m. anatoliaca) and Caucasian (A. m. caucasica) honey bees.","PeriodicalId":119547,"journal":{"name":"Journal of Tekirdag Agricultural Faculty","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Türkiye'de Bal Arısı (Apis mellifera L.) Populasyonlarının Ayırt Edilmesi İçin Yeni Morfometrik Yaklaşım\",\"authors\":\"Meral KEKEÇOĞLU, Songül BİR, Merve KAMBUR\",\"doi\":\"10.33462/jotaf.1213163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, 29 subspecies have been defined, each of which is adapted to a certain set of environmental characteristics, spreading all over the world except Antarctica. Many morphological and morphometric features have been used to classify honey bees from the past to the present. 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Colony averages of the raw data of the area measurements of each province were taken and the results were evaluated with Discriminant Function Analysis (DFA) in the SPSS.15 package program. Multivariate analysis of variance (MANOVA) was applied to separate the groups to determine the variation within and between groups. As a result of this study, the minimum total area was seen in Van at 4.51 and the maximum total area was seen in Ardahan at 5.76. The average size of the measured areas decreased from the north-east to the south of Turkiye. 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引用次数: 0
摘要
今天,已经定义了29个亚种,每个亚种都适应了一定的环境特征,分布在除南极洲以外的世界各地。从过去到现在,许多形态学和形态计量学特征被用来对蜜蜂进行分类。据报道,来自前翼的长度、角度和指数等特征对分类非常有效。在最近的研究中,已经开发了各种程序,并尝试通过蜜蜂翅膀的图像进行自动分类。本研究通过测量右侧前翼A1、A2、A3、A4、A5、A6、A7 7个区域,确定土耳其天然蜜蜂的生物多样性。为此,在土耳其19个省的143个蜂群共采集了3392只工蜂样本。用连接到BAB STR45立体变焦显微镜的BAB相机系统以1倍放大率拍摄所制备的制剂的照片。在BAB Bs200ProP程序中对分布在土耳其的蜜蜂种群右前翅的7个区域进行了自动测量。对各省面积测量的原始数据取群体平均值,并用SPSS.15软件包中的判别函数分析(Discriminant Function Analysis, DFA)对结果进行评价。采用多变量方差分析(Multivariate analysis of variance, MANOVA)进行组间分离,以确定组内和组间的变异。研究结果表明,Van的总面积最小,为4.51,Ardahan的总面积最大,为5.76。测量区域的平均面积从土耳其东北部到南部逐渐减小。前翅的面积测量被发现是区分安纳托利亚蜜蜂和高加索蜜蜂的标志。
Türkiye'de Bal Arısı (Apis mellifera L.) Populasyonlarının Ayırt Edilmesi İçin Yeni Morfometrik Yaklaşım
Today, 29 subspecies have been defined, each of which is adapted to a certain set of environmental characteristics, spreading all over the world except Antarctica. Many morphological and morphometric features have been used to classify honey bees from the past to the present. It has been reported that features such as length, angle and indices coming from the front wings are very efficient for classification. In recent studies, various programs have been developed and automatic classification has been attempted through the images of bee wings. This study aimed to determine the naturally occurring honey bee biodiversity in Turkiye by measuring 7 areas (A1, A2, A3, A4, A5, A6, A7) on the right front wing. For this purpose, a total of 3392 worker bee samples were collected from 143 colonies in 19 provinces of Turkiye. The photographs of the prepared preparations were taken at 1X magnification with the BAB camera system connected to the BAB STR45 stereozoom microscope. The measurements of 7 areas on the right front wings of honey bee populations distributed in Turkiye were made automatically in the BAB Bs200ProP program. Colony averages of the raw data of the area measurements of each province were taken and the results were evaluated with Discriminant Function Analysis (DFA) in the SPSS.15 package program. Multivariate analysis of variance (MANOVA) was applied to separate the groups to determine the variation within and between groups. As a result of this study, the minimum total area was seen in Van at 4.51 and the maximum total area was seen in Ardahan at 5.76. The average size of the measured areas decreased from the north-east to the south of Turkiye. Area measurements on the forewing were found to be a marker for distinguishing Anatolian (A. m. anatoliaca) and Caucasian (A. m. caucasica) honey bees.