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Türkiye'de Bal Arısı (Apis mellifera L.) Populasyonlarının Ayırt Edilmesi İçin Yeni Morfometrik Yaklaşım

Year 2023, Volume: 20 Issue: 3, 653 - 662, 26.09.2023
https://doi.org/10.33462/jotaf.1213163

Abstract

Günümüzde Antartika kıtası hariç dünyanın her yerinde yayılış gösteren, her biri belirli bir çevresel özelliklere adapte olmuş 29 alt tür tanımlanmıştır. Geçmişten günümüze kadar bal arılarını sınıflandırmak için birçok morfolojik ve morfometrik özellikler kullanılmıştır. Yapılan çalışmalarda ön kanatlardan gelen uzunluk, açı ve indeksler gibi özelliklerin sınıflandırma için çok etkili olduğu bildirilmiştir. Son yıllarda yapılan çalışmalarda çeşitli programlar geliştirilmiş, arı kanatlarının görüntüleri aracılığıyla otomatik sınıflandırma yapılmaktadır. Bu çalışmada sağ ön kanatta yer alan 7 alan (A1, A2, A3, A4, A5, A6, A7) ölçülerek Türkiye'de doğal olarak bulunan bal arısı biyoçeşitliliğinin belirlenmesine çalışılmıştır. Bu amaçla Türkiye'nin 19 ilindeki 143 koloniden toplam 3392 işçi arı örneği toplanmıştır. Hazırlanan preparatların fotoğrafları BAB STR45 stereozoom mikroskobuna bağlı BAB kamera sistemiyle 1X büyütmede çekilmiştir. Türkiye’de yayılış gösteren bal arısı populasyonlarının sağ ön kanatları üzerindeki 7 alanın ölçümleri BAB Bs200ProP programında otomatik olarak yapılmıştır. Her ile ait alan ölçümlerinin ham verilerinin koloni ortalamaları alınarak sonuçlar SPSS.15 paket programında Diskriminant Fonksiyon Analizi (DFA) ile değerlendirilmiştir. Grup içi ve gruplar arası varyasyonun belirlenmesinde grupları ayırmada çok değişkenli varyans analizi (MANOVA) uygulanmıştır. Bu çalışmanın sonucunda minimum toplam alan 4.51 ile Van'da görülürken maksimum toplam alan 5.76 ile Ardahan’da görülmüştür. Ölçülen alanların ortalama büyüklüğü Türkiye'nin kuzey doğusundan güneyine doğru azalmıştır. Ön kanattaki alan ölçümlerinin Anadolu (A. m. anatoliaca) ve Kafkas (A. m. caucasica) bal arılarını ayırt etmede kullanılabilecek bir marker olduğu görülmüştür.

References

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New Morphometric Approach to Discriminate Honey Bee (Apis mellifera L.) Populations in Türkiye

Year 2023, Volume: 20 Issue: 3, 653 - 662, 26.09.2023
https://doi.org/10.33462/jotaf.1213163

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.

References

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  • Güler, A., Bıyık, S. and Güler, M. (2013). Morphological characterization of the honey bee (Apis Mellifera L.) population of The Western Black Sea Region. Anadolu Journal of Agricultural Sciences, 28(1): 39-46.
  • Güler, A., Kaftanoglu, O., Bek, Y. and Yeninar, H. (1999). Discrimination of some Anatolian honeybee (Apis mellifera L.) races and ecotypes by usingmorphological characteristics, Turkish Journal of Veterinary & Animal Sciences. 23 Ek sayı 3:565-575.
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  • Kandemir, İ., Kence, M. and Kence, A. (2005). Morphometric and electrophoretic variation in different honeybees (Apis mellifera) population. Turkish Journal of Veterinary & Animal Sciences. 29: 885-890.
  • Kandemir, İ., Kence, M., Sheppard, W. S. and Kence, A. (2006a). Mitochondrial DNA variation in honey bee (Apis mellifera L.) populations from Türkiye. Journal of Apicultural Research and Bee World, 45(1): 33-38.
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There are 64 citations in total.

Details

Primary Language English
Subjects Animal Biotechnology in Agriculture
Journal Section Articles
Authors

Meral Kekeçoğlu 0000-0002-4116-4138

Songül Bir 0000-0002-2564-8343

Merve Kambur 0000-0001-9658-6584

Early Pub Date September 12, 2023
Publication Date September 26, 2023
Submission Date December 1, 2022
Acceptance Date March 3, 2023
Published in Issue Year 2023 Volume: 20 Issue: 3

Cite

APA Kekeçoğlu, M., Bir, S., & Kambur, M. (2023). New Morphometric Approach to Discriminate Honey Bee (Apis mellifera L.) Populations in Türkiye. Tekirdağ Ziraat Fakültesi Dergisi, 20(3), 653-662. https://doi.org/10.33462/jotaf.1213163
AMA Kekeçoğlu M, Bir S, Kambur M. New Morphometric Approach to Discriminate Honey Bee (Apis mellifera L.) Populations in Türkiye. JOTAF. September 2023;20(3):653-662. doi:10.33462/jotaf.1213163
Chicago Kekeçoğlu, Meral, Songül Bir, and Merve Kambur. “New Morphometric Approach to Discriminate Honey Bee (Apis Mellifera L.) Populations in Türkiye”. Tekirdağ Ziraat Fakültesi Dergisi 20, no. 3 (September 2023): 653-62. https://doi.org/10.33462/jotaf.1213163.
EndNote Kekeçoğlu M, Bir S, Kambur M (September 1, 2023) New Morphometric Approach to Discriminate Honey Bee (Apis mellifera L.) Populations in Türkiye. Tekirdağ Ziraat Fakültesi Dergisi 20 3 653–662.
IEEE M. Kekeçoğlu, S. Bir, and M. Kambur, “New Morphometric Approach to Discriminate Honey Bee (Apis mellifera L.) Populations in Türkiye”, JOTAF, vol. 20, no. 3, pp. 653–662, 2023, doi: 10.33462/jotaf.1213163.
ISNAD Kekeçoğlu, Meral et al. “New Morphometric Approach to Discriminate Honey Bee (Apis Mellifera L.) Populations in Türkiye”. Tekirdağ Ziraat Fakültesi Dergisi 20/3 (September 2023), 653-662. https://doi.org/10.33462/jotaf.1213163.
JAMA Kekeçoğlu M, Bir S, Kambur M. New Morphometric Approach to Discriminate Honey Bee (Apis mellifera L.) Populations in Türkiye. JOTAF. 2023;20:653–662.
MLA Kekeçoğlu, Meral et al. “New Morphometric Approach to Discriminate Honey Bee (Apis Mellifera L.) Populations in Türkiye”. Tekirdağ Ziraat Fakültesi Dergisi, vol. 20, no. 3, 2023, pp. 653-62, doi:10.33462/jotaf.1213163.
Vancouver Kekeçoğlu M, Bir S, Kambur M. New Morphometric Approach to Discriminate Honey Bee (Apis mellifera L.) Populations in Türkiye. JOTAF. 2023;20(3):653-62.