EN
TR
Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat
Abstract
Billing Revised System (BRS), Billing Integrated System (BIS95) and Maryblyt  Version 4.3 computer models were used for predicting fire blight infection risks in apple and pear orchards in Tokat and Ankara provinces during 1998, 2000 and 2001 growing seasons. Infection risk days were predicted accurately with BRS risk assessment system, but this system was indicated more infection risk days than that of actual infections. Blossom and shoot infection risk days on pear were predicted more accurately with BIS95 model. In 1998, Maryblyt model have been successful in predicting blossom blight infections but first symptoms in orchard were occurred later than predicted. In 2000 and 2001 Maryblyt and BIS95 models indicated infection risk days in pear orchards due to hail and the first symptoms on pear were detected according to the prediction of these models. In both years no infection risk days on apple were predicted by Maryblyt model but BIS95 indicated blossom blight infection risk days in 2000. As a result of these studies, Maryblyt and BIS95 models were evaluated successfully for indicating the dates of infection risk and symptom occurrence in Tokat and Ankara provinces.
Keywords
Kaynakça
- Billing E. 1980. Fire blight in Kent, England in relation to weather (1965–1976). Ann. App. Biol., 95, 341–364.
- Billing E. 1992. Billing‟s revised system (BRS) for fire blight risk assesment. Bullet. OEPP/EPPO, 22: 1–102.
- Billing E. 1996. BIS95, An improved approach to fire blight risk assesment. Acta Horticulturae, 411: 121–126.
- Billing E. 1999. Fire blight risk assesment: Billing‟s Integrated System (BIS) and its evaluation. Acta Horticulturae, 489: 399–405.
- Demir G. and Üstün N. 1999. Comparison of different prediction systems for blossom blight risk assesment on pear and apple in Aegean Region of Turkey. Acta Horticulturae, 489: 419–428.
- Jones A.L. 1992. Evaluation of the computer model Maryblyt for predicting fire blight blossom infection on apple in Michigan. Plant Disease, 76: 344–347. Ishimaru C. and Klos J.E. 1984. New medium for detecting Erwinia amylovora and its use in epidemiological studies. Phytopathology, 74: 1342–1345.
- Lightner G.T., van der Zwet T. and Steiner P. 1999. Fifteen year summary of the efficacy of the Maryblyt prediction system on apple in West Virginia (1984-1998). Acta Horticulturae, 489: 445–447.
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Ayrıntılar
Birincil Dil
Tr
Konular
-
Bölüm
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Yayımlanma Tarihi
31 Aralık 2013
Gönderilme Tarihi
31 Aralık 2013
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2013 Cilt: 53 Sayı: 4
APA
Karahan, A., Özakman, M., & Altundağ, Ş. (2013). Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat. Plant Protection Bulletin, 53(4), 207-238. https://izlik.org/JA33PJ62RN
AMA
1.Karahan A, Özakman M, Altundağ Ş. Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat. Plant Protection Bulletin. 2013;53(4):207-238. https://izlik.org/JA33PJ62RN
Chicago
Karahan, Aynur, Meriç Özakman, ve Şenol Altundağ. 2013. “Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat”. Plant Protection Bulletin 53 (4): 207-38. https://izlik.org/JA33PJ62RN.
EndNote
Karahan A, Özakman M, Altundağ Ş (01 Aralık 2013) Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat. Plant Protection Bulletin 53 4 207–238.
IEEE
[1]A. Karahan, M. Özakman, ve Ş. Altundağ, “Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat”, Plant Protection Bulletin, c. 53, sy 4, ss. 207–238, Ara. 2013, [çevrimiçi]. Erişim adresi: https://izlik.org/JA33PJ62RN
ISNAD
Karahan, Aynur - Özakman, Meriç - Altundağ, Şenol. “Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat”. Plant Protection Bulletin 53/4 (01 Aralık 2013): 207-238. https://izlik.org/JA33PJ62RN.
JAMA
1.Karahan A, Özakman M, Altundağ Ş. Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat. Plant Protection Bulletin. 2013;53:207–238.
MLA
Karahan, Aynur, vd. “Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat”. Plant Protection Bulletin, c. 53, sy 4, Aralık 2013, ss. 207-38, https://izlik.org/JA33PJ62RN.
Vancouver
1.Aynur Karahan, Meriç Özakman, Şenol Altundağ. Studies on the use of prediction models for assessing infection risk days of fire blight disease [<em>Erwinia amylovora</em> (Burrill) Winslow et al.] in apple and pear orchards in Ankara and Tokat. Plant Protection Bulletin [Internet]. 01 Aralık 2013;53(4):207-38. Erişim adresi: https://izlik.org/JA33PJ62RN
