Forecasting of Potato Late Blight Disease Using Alternative Sets of Meteorological Data and Disease Epidemiyology

Hale Günaçtı; Tahsin Ay

doi:10.18016/ksutarimdoga.vi.863578

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Patates Mildiyösü Hastalığının Epidemiyolojisi ve Hastalık Tahmininde Farklı Meteorolojik Sistemlerin Kullanım Olanakları

Öz

ÖZET: Phytophthora infestans (Mont.) De Bary'ın neden olduğu Patates Mildiyö Hastalığı tüm dünyada ürün kayıplarına neden olan önemli bir hastalıktır. Hastalık, çok çeşitli iklim koşullarında ortaya çıkabilir ve kontrol edilemezse bitkinin tamamen kuruması ve tüm yapraklarının dökülmesine neden olur. Bölgede hastalıkla mücadelede ürün kayıplarını en aza indirmek için fungusit uygulamaları dahil olmak üzere çeşitli koruyucu önlemler kullanılmaktadır. Fungusitlerin kontrolsüz ve çok sayıda uygulanması çevre kirliliğine neden olmaktadır. Bu nedenle ilaçlama sayısını optimize eden bitki koruma stratejileri büyük ilgi görmektedir. Çalışmalar, 2013 ve 2014 yıllarında, iklim verilerini değerlendirerek bölge koşullarında en doğru enfeksiyon tahminine olanak veren erken uyarı modelinin belirlenmesi amacıyla yürütülmüştür. Bu amaçla yaprak ıslaklık süresi hava sıcaklığı, yağış ve nispi nem değerleri anlık olarak ölçülmüştür. Patates mildiyösü hastalığının tahmin çalışmaları, Adana ilinde ticari patates yetiştiriciliğin yoğun olarak yapıldığı 2 farklı alanda iMETOS® elektronik iklim istasyonunun bulunduğu tarlalarda yürütülmüştür. Bölgede ilk defa yapılan bu çalışma kapsamında Ullrich Schrodter, Winstel ve Blitecast modelleri karşılaştırılmalı olarak uygulanarak bölge koşullarında en doğru enfeksiyon tahminine olanak veren erken uyarı modeli belirlenmiştir. Çukurova bölgesinde Winstel modelinin diğer iki modele gore en iyi sonuç gösterdiği tespit edilmiştir

Anahtar Kelimeler

Forecasting of Potato Late Blight Disease Using Alternative Sets of Meteorological Data and Disease Epidemiyology

Abstract

Phytophthora infestans (Mont) de Bary, the causal agent of late blight of potato is one of the most important plant pathogens. The disease can occur in a wide variety of weather conditions and can be very devastating if no controlled. To reduce yield losses, different protective measures are used, including fungicide treatment. Uncontrolled and numerous fungicide applications cause environmental pollution. Accordingly, crop protection strategies optimizing the number of treatments are of great interest. Prediction of potato late blight epidemics, was studied in two different locations of Adana. Meteorological data (hourly) were recorded by an iMETOS® automatic weather station installed in the field and were compared with regional station Winstel, Blite Cast and Ullrich Schrodter models. Three disease warning models were compared to forecast the development of potato late blight in Adana between 2013 and 2014 first time. In the Çukurova region, the Winstel model yielded more accurate results in predicting infection conditions compared to the other two models. Studies provided that, the conditions of potato late blight disease formation in the region were determined and the use of the Winstel early warning system in accordance with the regional conditions and biotechnical methods which will be alternative to chemical control were provided by the regional farmers.

Keywords

Supporting Institution

TÜBİTAK

Project Number

1120112

Thanks

This study is a part of the project fully supported by the Scientific and Technical Research Council of Turkey (TUBITAK) with project number, TOVAG-112O112. The author is thankful to colleague Prof Dr. Canan Can.

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Details

Primary Language

English

Subjects

Agricultural, Veterinary and Food Sciences

Journal Section

Research Article

Authors

Hale Günaçtı ^*
0000-0002-5587-1845
Türkiye

Tahsin Ay
0000-0002-8158-7880
Türkiye

Publication Date

December 31, 2021

Submission Date

January 18, 2021

Acceptance Date

March 11, 2021

Published in Issue

Year 2021 Volume: 24 Number: 6

DOI

https://doi.org/10.18016/ksutarimdoga.vi.863578

IZ

https://izlik.org/JA44TX56EW

Cite

RIS / Bibtex

APA

Günaçtı, H., & Ay, T. (2021). Forecasting of Potato Late Blight Disease Using Alternative Sets of Meteorological Data and Disease Epidemiyology. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, 24(6), 1213-1220. https://doi.org/10.18016/ksutarimdoga.vi.863578

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