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Investigation of heating and cooling degree-hour values in greenhouses with different color cover materials: the case of lettuce plant

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this study, it is aimed to determine the effect of greenhouse cover material of different color on the number of heating (HDHN) and cooling degree hours (CDHN) and heating (HDH) and cooling degree hours (CDH) of the lettuce plant. For this purpose, the study was carried out in the CtrlG (Control transparent PE greenhouse), RedG (Red PE greenhouse) and BlueG (Blue PE greenhouse). The study was completed in 2018 at ISUBU research and application farm. The temperature values measured in the three greenhouses with the same dimensions were the material of the study. HDH, CDH, HDHNs, and CDHNs were calculated by examining the measured temperature values and suggested temperature values for the lettuce plant. By using these values, it was tried to determine suitable cover material during the growing period of the lettuce plant. It has been concluded that the use of colored covering material is more suitable in terms of energy needs in almost all growing periods of lettuce plants. By comparing the values calculated for RedG and BlueG based on CtrlG, the coefficients of variation were calculated to determine which data series or series were more similar to each other. According to the coefficients of variation, the average values of HDH, CDH, HDHNs and CDHNs of the control greenhouse and other colored covered greenhouses ranged between 1,365 and 14,102%. Based on the CtrlG, BlueG was more homogeneous (1,365-8,364%), whereas RedG was less homogeneous (3,798-14,102%). It can be said that the use of colored covering material in greenhouses for lettuce plants will be more advantageous in terms of energy requirement.
Słowa kluczowe
Rocznik
Tom
Strony
235--252
Opis fizyczny
Bibliogr. 29 poz., tab., wykr.
Twórcy
  • Isparta University of Applied Science Agricultural Science and Technology Faculty Agricultural Structures and Irr. Department Isparta-Turkey
autor
  • Osmaniye Korkut Ata University Osmaniye Vocational School, Construction Department Osmaniye, Turkey
autor
  • Isparta University of Applied Science, Faculty of Agriculture, Department of Horticulture – Isparta-Turkey
  • Isparta University of Applied Science Agricultural Science and Technology Faculty Agricultural Structures and Irr. Department Isparta-Turkey
Bibliografia
  • Aksaraylı, M. (2018). T Dağılımı ve t Testi Notu, Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Ekonometri Bölümü, Dokuz Eylül Üniversitesi Sürekli Eğitim Merkezi (DESEM), 11 sayfa, İzmir.
  • Aktaş, H. (2019). Marulun İklim İstekleri (Personnel communication), Isparta Uygulamalı Bilimler Üniversitesi, Tarım Bilimleri ve Teknolojileri Fakültesi, Bahçe Bitkileri Öğretim Üyesi.
  • Anonymous, (2018). Kloroplastlardaki Farklı Renk Pigmentlerin Işığı Soğurma Spektrumu-Erişim Tarihi: 12.10.2018 http://www.biyolojidefteri.com /index.php/isikenerjisi-ve-klorofil.
  • Aydın, D., Kavak, A. F., Toros, H. (2015). Isınma ve Soğuma Derece Günlerin Elektrik Tüketimi Üzerindeki Etkisi, VII. Atmospheric Science Symposium 28-30 April, Abstract Book, 29 s, İstanbul.
  • Aydıncıoğlu, M. (2004). Model bir seranın iklimlendirilmesi ve otomasyonu. Yüksek lisans tezi, Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü, Van.
  • Bayram, M., Yesilata, B. (2009). Integration of number of heating and cooling degree days, “IX. National Plumbing Engineering Congress”, May 6-9, 2009, Izmir, pp.425-432.
  • Beard, L. R. (1962). Statistical Methods in Hydrology, US Army Corps of Engineers Institute For Water Resources Hydrologic Engineering Center, 130 pp., USA.
  • Bickford, E.D., Dunn, S. (1972). Lighting for Plant Growth, the Kent State Univ. Press, Kent, OH.
  • Boyacı, S., Akyüz, Üstün, S.A., Baytorun, N., Güğercin, Ö. (2017). The Methods Used to Decrease High Temperatures in Greenhouses. Turk J Agric Res. 4(1): 89-95.
  • Bulut, H., Buyukalaca, O., Yilmaz, T. (2007). Analysis of heating and cooling degree hours for the Marmara Region, 2. National Climate Congress, 111-122.
  • Buyukalaca, O., Bulut, H., Yılmaz, T. (2001). Analysis of Variable-Base Heating and Cooling Degree-Days for Turkey, Applied Energy, 69: 269-283.
  • Büyük, İ. (2018). Botanik, Fotosentez – https://acikders. ankara.edu.tr/pluginfile.php /5377/mod_resource/content/1/BotanikI%20%2810.%20Hafta-%20Fotosentez%29.pdf. (date of access: 12.10.2018).
  • Çolak, A. (2002). A Research Regarding the Determinatıon of the Interior Temperature of the Glasshouse, Dew point Temperature and Relative Humidity Designs In an Unheated Glasshouse, Ege Üniv. Ziraat Fak. Derg. 39(3): 105-112.
  • Dawson, B., Trapp, R.G. (2004). Basic & Clinical Biostatistics (LANGE Basic Science), McGraw-Hill Medical.
  • Day, A. R., Karayiannis, T. G. (1998). Degree-Days: Comparison of Calculation Methods, Proceedings of CIBSE Series A: Building Services Engineering Research and Technology, 19(1): 7-13.
  • Demirutku, K., Okay, N. C., Yaman, A., Kıvanç, F. E., Muratoğlu, M., Yeniçeri, Z., (2005). İstatistiksel Formüller ve Tablolar, Başkent Üniversitesi İktisadi ve İdari Bilimler Fakültesi, Elyadal Dizisi No: 3, 1. Baskı, Eleştirel - Yaratıcı Düşünme ve Davranış Araştırmaları Laboratuvarı, 64 sayfa, Ankara.
  • Draper, N., Smith, H. (1981). Applied Regression Analysis, John Wiley and Sons Inc., 708 pp., USA.
  • Ertop, H., Atilgan, A. (2017). The Determination of Properties of Heating and Cooling Systems in Greenhouse. Infrastructure and Ecology of Rural Areas, 3(2): 1115-1129.
  • Helsen, D.R., Hirsch, R.M. (1993). Statistical Methods in Water Resources, Studies in Environmental Sciences: 49, Elsevier, USA.
  • Hocking, R. R., Leslie, R.N. (1967). Selection of the Best Subset in Regression Analysis, Techno metrics, 9(4): 531-540.
  • Jaiswal, R.K., Lohani, A.K, Tiwari, H.L. (2015). Statistical Analysis for Change Detection and Trend Assessment in Climatological Parameters. Environmental Processes, 2(4): 729-749.
  • Keskici, T., Kocabaş, Z. (1998). Biyoistatistik, Ankara Üniversitesi Eczacılık Fakültesi Yayın No: 79, 364 sayfa, Ankara.
  • Kul, S. (2014). İstatistik Sonuçlarının Yorumu: p Değeri ve Güven Aralığı Nedir?, Türk Toraks Derneği, Ekstraplevral:11-13.
  • Massa, GD., Kim, H.H., Wheeler R.M., Mitchell, C.A. (2010). Plant Productivity in Response to Led Lighting.
  • Özdamar, K. (2018). Eğitim Sağlık ve Sosyal Bilimler için SPSS Uygulamalı Temel İstatistik, 1. Baskı, Nisar Yayınevi, 230 sayfa, Ankara.
  • Satman, A., Yalçınkaya, N. (1999). Heating and cooling degree-hours for Turkey, Energy, 24 (10): 833-840.
  • Shammugasundram, S. (2012). Statistical Analysis to Detect Climate Change And Its Implication on Water Resources, School of Engineering And Science, Faculty of Health, Engineering And Science, Victoria University, Australia.
  • Şen, S. (2018). Betimleyici İstatistikler, 67 sayfa, Ankara.
  • Tunçbilek, F. (2019). Sera Yetiştiriciliğinde Farklı Renklerdeki Örtü Malzemelerinin Gelişim Üzerine Etkileri: Marul Örneği (YL Tezi, Isparta Uygulamalı Bilimler Üniversitesi, Lisansüstü Eğitim Enstitüsü). Isparta.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dd65f59a-9691-49c1-8c49-f8a82ca9c8f6
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