Turkish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Plant Disease 2009-Mar

Effect of Temperature on Sporulation and Infectivity of Podosphaera macularis on Humulus lupulus.

Sadece kayıtlı kullanıcılar makaleleri çevirebilir
Giriş yapmak kayıt olmak
Bağlantı panoya kaydedilir
Amy Peetz
Walter Mahaffee
David Gent

Anahtar kelimeler

Öz

Hop powdery mildew, caused by Podosphaera macularis, can result in complete crop loss and requires numerous fungicide applications for effective management. To assess the impact of temperature on the production of infective conidia, 10-day-old sporulating colonies were exposed to 18, 30, 33, 36, 39, and 42°C for 6 h, and then incubated at 18°C for 18 h. Conidia were harvested, inoculated onto hop plants, incubated at 18°C for 10 days, and then lesions/cm2 of leaf area was determined. Disease was significantly reduced at temperatures ≥30°C with a nonlinear response in the production of infective conidia (P < 0.0001). Temperature effects on sporulation of P. macularis were examined using a custom impaction conidia sampler in growth chambers programmed at constant temperatures of 5, 10, 15, 20, 25, 30, and 35°C, or 18°C before and after ramping to 18, 22, 26, 30, 34, and 38°C for 6 h. The effect of constant temperature on sporulation was best described by a nonlinear thermodynamic model (P = 0.0001) with maximal production near 25°C. Exposure to fluctuating temperatures produced a curvilinear response in sporulation (P = 0.0122) with maximum production near 25°C. These data indicate that inoculum availability is reduced when ambient temperature exceeds 30°C and that modeling inoculum availability could help further refine current disease forecasting models.

Facebook sayfamıza katılın

Bilim tarafından desteklenen en eksiksiz şifalı otlar veritabanı

  • 55 dilde çalışır
  • Bilim destekli bitkisel kürler
  • Görüntüye göre bitki tanıma
  • Etkileşimli GPS haritası - bölgedeki bitkileri etiketleyin (yakında)
  • Aramanızla ilgili bilimsel yayınları okuyun
  • Şifalı bitkileri etkilerine göre arayın
  • İlgi alanlarınızı düzenleyin ve haber araştırmaları, klinik denemeler ve patentlerle güncel kalın

Bir belirti veya hastalık yazın ve yardımcı olabilecek bitkiler hakkında bilgi edinin, bir bitki yazın ve karşı kullanıldığı hastalıkları ve semptomları görün.
* Tüm bilgiler yayınlanmış bilimsel araştırmalara dayanmaktadır

Google Play badgeApp Store badge