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3-D Classification of Agricultural Areas of Turkey using Mammalian Livestock Existence

Yıl 2022, Cilt: 5 Sayı: 3, 311 - 313, 01.07.2022
https://doi.org/10.47115/bsagriculture.1116612

Öz

Animal production is valuable importance for human being and countries in terms of both economic and human nutrition. To increase the value of benefits from the livestock sector, there are many attempts to make policies. In this study, 26 different agricultural areas of Turkey according to their agricultural properties were clustered by using mammalian livestock existence such as cattle, water buffalo, sheep, goat and horse. For this aim 3-D clustering was applied using R software with FactoMineR and factoextra packages. The results showed that the number of 26 agricultural areas were clustered in four clusters. TR83 area including Samsun, Tokat, Çorum and Amasya cities was formed in a cluster lonely. The second cluster included agricultural areas of TRA2, TRC2 and TRB2 that these areas consist of the cities Ağrı, Kars, Iğdır, Ardahan, Şanlıurfa, Diyarbakır, Van, Muş, Bitlis and Hakkari. TRC3, TR62 and TR61 agricultural areas formed the third cluster including the cities of Mardin, Batman, Şırnak, Siirt, Adana, Mersin, Antalya, Isparta and Burdur. The other agricultural areas were included in the fourth cluster. These results are also important for traders' financial and human capital and trading practices such as the use of brokers and regular suppliers and customers had varying effects on margins and costs of animal trade. It is also amenable to public policy to improve the market environment and marketing efficiency.

Kaynakça

  • Atasever S. 2022. Change of animal production in Samsun province between 2010 and 2020. Turkish J Agri Food Sci Tech, 10(3): 388-393. DOI: 10.24925/turjaf.v10i3.388-393.4510.
  • Ertaş N. 2019. Current livestock situation analysis according to level 2 classification, spatial and temporal distribution: example of TRB2. J Soc Sci Inst, 44: 11-39.
  • İşler H, Ünlü Ören HG. 2021. Examination and SWOT analysis of the livestock sector in Burdur province. JASSFA, 3(7): 166-190.
  • Önder H. 2019. Classification of villages in Bafra district according to small ruminant existence. BSJ Eng Sci, 2(4): 136-137.
  • Tarhan S. 2021. Effects of young farmer project support on the development of livestock breeding enterprises. Eurasian J Agri Econ, 1(2): 1-17.
  • Tirink C, Bayyurt L, Abaci SH, Onder H. 2019. Evaluation of dairy cattle milk production in Black Sea region by cluster analysis. BSJ Eng Sci, 2(2): 39-41.
  • TUIK. 2021. Turkish Statistical Institute. URL: https: //tuik.gov.tr (access date: 10.05.2022).
  • Şen U, Önder H, Şirin E, Özyürek S, Piwczynski D, Kolenda M, Ocak Yetisgin S. 2021a. Placental Characteristics Classification of Various Native Turkish Sheep Breeds. Animals, 11: 930. DOI: 10.3390/ani11040930.
  • Şen U, Şirin E, Filik AG, Önder H, Piwczynski D, Kolenda M. 2021b. Growth and slaughter characteristics of weaning male kids of Turkish native goat breeds. Animals, 11: 2788. DOI: 10.3390/ani11102788.
  • URL1: https://arastirma.tarimorman.gov.tr/gaputaem/ Belgeler/tar%C4%B1msal%20veriler/ gaputaem% 20gncel/HAYVANCILIK%20RAPORU%202015.pdf (access date: 10.05.2022).
Yıl 2022, Cilt: 5 Sayı: 3, 311 - 313, 01.07.2022
https://doi.org/10.47115/bsagriculture.1116612

Öz

Kaynakça

  • Atasever S. 2022. Change of animal production in Samsun province between 2010 and 2020. Turkish J Agri Food Sci Tech, 10(3): 388-393. DOI: 10.24925/turjaf.v10i3.388-393.4510.
  • Ertaş N. 2019. Current livestock situation analysis according to level 2 classification, spatial and temporal distribution: example of TRB2. J Soc Sci Inst, 44: 11-39.
  • İşler H, Ünlü Ören HG. 2021. Examination and SWOT analysis of the livestock sector in Burdur province. JASSFA, 3(7): 166-190.
  • Önder H. 2019. Classification of villages in Bafra district according to small ruminant existence. BSJ Eng Sci, 2(4): 136-137.
  • Tarhan S. 2021. Effects of young farmer project support on the development of livestock breeding enterprises. Eurasian J Agri Econ, 1(2): 1-17.
  • Tirink C, Bayyurt L, Abaci SH, Onder H. 2019. Evaluation of dairy cattle milk production in Black Sea region by cluster analysis. BSJ Eng Sci, 2(2): 39-41.
  • TUIK. 2021. Turkish Statistical Institute. URL: https: //tuik.gov.tr (access date: 10.05.2022).
  • Şen U, Önder H, Şirin E, Özyürek S, Piwczynski D, Kolenda M, Ocak Yetisgin S. 2021a. Placental Characteristics Classification of Various Native Turkish Sheep Breeds. Animals, 11: 930. DOI: 10.3390/ani11040930.
  • Şen U, Şirin E, Filik AG, Önder H, Piwczynski D, Kolenda M. 2021b. Growth and slaughter characteristics of weaning male kids of Turkish native goat breeds. Animals, 11: 2788. DOI: 10.3390/ani11102788.
  • URL1: https://arastirma.tarimorman.gov.tr/gaputaem/ Belgeler/tar%C4%B1msal%20veriler/ gaputaem% 20gncel/HAYVANCILIK%20RAPORU%202015.pdf (access date: 10.05.2022).
Toplam 10 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Hayvansal Üretim (Diğer)
Bölüm Research Articles
Yazarlar

Burcu Kurnaz 0000-0001-5613-6992

Hüseyin Mert Yüksel 0000-0002-9429-8877

Hasan Onder 0000-0002-8404-8700

Cem Tırınk 0000-0001-6902-5837

Yayımlanma Tarihi 1 Temmuz 2022
Gönderilme Tarihi 16 Mayıs 2022
Kabul Tarihi 17 Haziran 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 5 Sayı: 3

Kaynak Göster

APA Kurnaz, B., Yüksel, H. M., Onder, H., Tırınk, C. (2022). 3-D Classification of Agricultural Areas of Turkey using Mammalian Livestock Existence. Black Sea Journal of Agriculture, 5(3), 311-313. https://doi.org/10.47115/bsagriculture.1116612

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