Determining Powdery Mildew (Podosphaeraaphanis var. aphanis) Risk Areas for Wild Strawberry (Fragariavesca)in Turkey by Geographic Information Systems

Year 2017, , 252 - 263, 02.05.2017

Hakan Mete Doğan Nusret Zencırcı Özer Çalış Çisem Nildem Doğan

https://doi.org/10.13002/jafag4194

Cited By: 1

Abstract

Powdery mildew caused by Podosphaeraaphanis var. aphanis mostly infects the wild and cultivated strawberries in Turkey. The disease affects leaves, stems and fruits. Mycelia of the fungi inhibit the photosynthesis and nutrients uptake from the host cells. This reduces yield, quality, and market value of the fruit. In Turkey, intense strawberry cultivations in Mediterranean and Aegean regions are mainly influenced by contamination levels of nursery plants. However, scattered wild strawberry cultivations (Fragaria vesca) in Marmara and Black Sea regions are mainly affected by environmental conditions, particularly by the climate. Determining spatial distribution of powdery mildew of wild strawberry in Turkey is important for plant protection experts, producers, and breeders. In this study, powdery mildew risk areas for wild strawberry in Turkey were spatially analyzed and mapped in geographic information systems (GIS). In analyzing and mapping process, climatic raster maps and optimal climatic requirements of the disease were utilized. According to the produced raster maps, disease risk areas concentrated in the Black Sea and Marmara geographic regions of Turkey between May and October. Powdery mildew risk areas covered maximum area (3141.18 km2) in October, and these areas were detected in Istanbul (2790.92 km2), Sinop (215.0 km2), and Giresun (155.26 km2) provinces, respectively. Accuracy assessment of each risk map was performed by using geo-referenced field data collected between May and October in 2015. Accuracy changed between 75.68 % and 83.33 % in monthly basis, and overall accuracy was determined as 80.00 %.The results of this study supplied a good and reliable basis to control the disease.

Keywords

Ecology, early warning, GIS, powdery mildew, plant disease, wild strawberry

References

• Amsalem L, Zasso R, Pertot I, Freeman S, Sztjenberg A and Elad Y (2004). Efficacy of control agents on powdery mildew, a comparison between two populations. IOBC/WPRS Bulletin, 27(8): 309-313.
• Apaydın H, Sonmez FK and Yıldırım YE (2004). Spatial interpolation techniques for climate data in the GAP region in Turkey. Climate Research, 28: 31-40.
• Basova SV (1987). Seasonal dynamics of powdery mildew of pedunculate oak in a seed grafting plantation (in Russian). Mikologiya i Fitopatologiya, 21: 269-273.
• Bradley AV, Thomes JE, Champan L, Unwin D and Roy M (2002). Modelling spatial and temporal road thermal climatology in rural and urban areas using a GIS. Climate Research, 22: 41-45.
• Braun HJ, Zencirci N, Altay F, Atli A, Avci M, Eser V and Payne TS (2001). Turkish Wheat Pool. in: The World Wheat Book, a History of Wheat Breeding. Edited Bonjean AP, Angus WJ. Lavosier Publishing Inc., Paris London, New York, pp. 853-879.
• Çalış Ö and Çekiç Ç (2013). Characterization of resistance to powdery mildew in woodland strawberry genotypes. Ankara University Journal of Agricultural Sciences, 6(1): 146-150.
• Dogan HM (2007). High resolution climate surfaces of Nallihan ecosystem in Turkey, a convenient methodology to create climate maps. Journal of Applied Sciences, 7: 654-662.
• ESRI (2004). Geoprocessing in ArcGIS, ArcGIS 9. Environmental Systems Research Institute, Redlands, CA.
• ESRI (2005). ArcGIS 9, What is ArcGIS. Environmental Systems Research Institute, Redlands, CA.
• Grieser J (2002). Local climate estimator (LOCCLIM 1.0) based on FAOCLIM ver. 2 database of the agrometeorology group. FAO Environment and Natural Resources Service SDRN, Rome, Italy.
• Guler M and Karaca M (1988). Agroclimatological Criteria for Determining the Boundaries of Fallow Practice. International Symposium on Problems and Prospects of Winter Cereals and Food Legume Production in the High-Elevation Areas of West Asia, Southeast Asia and North Africa, 41-49, ICARDA, Aleppo.
• Gyalistras D (2003). Development and validation of a high-resolution monthly gridded temperature and precipitation data set for Switzerland (1951-2000). Climate Research, 25: 55-83.
• Hewitt HG, (1974). Conidial germination in Microsphaera alphitoides. Transactions of the British Mycological Society, 63: 587-628.
• Jeffrey SJ, Carter JO, Moodie KB and Beswick AR (2001). Using spatial interpolation to construct a comprehensive archive of Ausralian climate data. Environmental Modelling & Software, 16: 309-330.
• Jolly WM, Graham JM, Michaelis A, Nemani R and Running SW (2005). A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales. Environmental Modelling & Software, 20: 873-882.
• Kaska N (1997). Strawberry growing in Turkey. Acta Horticulturae, 439(1): 385-391.
• Kaska N (2002). Present and future projection of strawberry production in Turkey. Acta Horticulturae, 567(2): 539-541.
• Louws F and Ridge G (2015). Powdery Mildew of Strawberry. NC Cooperative Extension Resources. http://content.ces.ncsu.edu/powdery-mildew-of-strawberry/ (Accessed to web: 20.02.2015)
• Maas JL (1998). Compendium of Strawberry Diseases (second edition). American Phytopathological Society (APS), St Paul, MN.
• Osterkamp S, Kraft D and Schirmer M (2001). Climate change and ecology of the Weser estuary region: assessing the impact of an abrupt change in climate. Climate Research: 18(1-2), 97-104.
• Serce S, Gunduz K, Ozdemir E, Bakan M, Paydas S and Kaska N (2005). Genetic resources of Turkish strawberry varieties (in Turkish). Gıda-Tarim Cine Tarim, 68: 60-64.
• Selochnik NN, Il'yushenko AF and Kondrashova NK (1994). Powdery mildew of oak and its distribution in the stand canopy (in Russian). Lesovedenie, 4: 61-70.
• Serhat S, Demircan M, Ulupinar Y and Balta I (2008). Climate of Turkey. Turkish State Meteorological Service, Ankara.
• Semenov MA and Brooks RJ (1999). Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain. Climate Research, 11: 137-148.
• Strand L (2008). Integrated Pest Management for Strawberries (second edition). UCLA Agriculture and Natural Resources, California.
• Svensson MK, Eliasson I and Holmer B (2002). A GIS based empirical model to simulate air temperature variations in the Göteborg urban area during the night. Climate Research, 22: 215-226.
• TSMS (2015). Turkish State Meteorological Service. http//www.mgm.gov.tr (Acessed on: 02.11.2015)
• Turhan E and Kargi SP (2007). Strawberry production in Turkey. Chronica Horticulturae, 47(2): 18-20.
• Watkins RE, Eagleson S, Beckett S, Garner G, Veenendaal B, Wright G and Plant AJ (2007). Using GIS to create synthetic disease outbreaks, BMC Medical Informatics and Decision Making, 7: 4.
• Yarwood CE (1957). Powdery mildews. Botanical Review, 23: 235-300.
• Zencirci N and Kün E (1995). Variation in landraces of durum wheat (T. turgidum L. conv. durum (Desf.) MK) from Turkey. Euphytica, 92(3): 333-339.
• Zencirci N and Karagöz A (2005). Effect of developmental stages length on yield and some quality traits of Turkish durum wheat (Triticum turgidum L. convar. durum (Desf.) Mackey) landraces: influence of developmental stages length on yield and quality of durum wheat. Genetic Resources and Crop Evolution, 52(6): 765-774.
• Zencirci N (2008). Effect of upper plant parts on yield and quality in Turkish durum wheat landraces from different regions, altitudes, and provinces. Turkish Journal of Agriculture and Forestry, 32(1): 29-39.