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The relationship of leaf wetness duration and disease progress of glume blotch, caused byStagonospora nodorum, in winter wheat to standard weather data

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Abstract

Almost 50% of the variation in leaf wetness duration can be explained by maximum and minimum temperatures, rainfall and hours with relative humidity above 90% on a daily basis. All of these parameters can be estimated from a standard weather station. If variables related to wind are added the level of explanation increases to 69–76%. Leaf wetness duration explained up to 42% of the rate of disease increase (RDI) forS. nodorum. Leaf wetness duration was accumulated over a 5-day ‘window’ period and correlated with rate of disease increase after a 7-day ‘lag’ period. Standard weather variables could explain 20–34% of the disease increase. The relevance of these statistical models to disease prediction is discussed.

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References

  • Aust H-J and Hau B (1983) Die Latenszeit vonSeptoria nodorum in Abhängigkeit von der ontogenetisch bedingten Anfälligkeit des Sommerweizens. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz 90: 55–62

    Google Scholar 

  • Bahat A, Gelernter I, Brown MB and Eyal Z (1980) Factors affecting the vertical progression of Septoria leaf blotch in short-statured wheats. Phytopathology 70: 179–184

    Google Scholar 

  • Bartlett MS (1947) The use of transformations. Biometrics 3: 39–52

    Google Scholar 

  • Butt DJ and Royle DJ (1974) Multiple regression analysis in the epidemiology of plant diseases. In: Kranz J (ed) Epidemics and Plant Diseases. Mathematical Analysis and Modeling (Ecological Studies 13), Springer-Verlag, Berlin-Heidelberg

    Google Scholar 

  • Campbell CL and Madden LV (1990) Introduction to Plant Disease Epidemiology. John Wiley & Sons, New York

    Google Scholar 

  • Chuang TY and Jeger MJ (1987) Predicting the rate of development of black sigatoka (Mycosphaerella fijiensis var.diiformis) disease in southern Taiwan. Phytopathology 77: 1542–1547

    Google Scholar 

  • Coakley SM, Line RF and McDaniel LR (1988) Predicting stripe rust severity on winter wheat using an improved method for analyzing meteorological and rust data. Phytopathology 78: 543–550

    Google Scholar 

  • Coakley SM, McDaniel LR and Shaner G (1985) Model for predicting severity of Septoria tritici blotch on winter wheat. Phytopathology 75: 1245–1251

    Google Scholar 

  • Crowe MJ, Coakley SM and Emge RG (1978) Forecasting dew duration at Pendleton, Oregon, using simple weather observations. Journal of Applied Meteorology 17: 1482–1487

    Google Scholar 

  • Djurle A and Yuen JE (1991) A simulation model forSeptoria nodorum in winter wheat. Agricultural Systems 37: 193–218 + Erratum in Ibid. 38: 339

    Google Scholar 

  • Eyal Z, Brown JF, Krupinsky JM and Scharen AL (1977) The effect of postinoculation periods of leaf wetness on the response of wheat cultivars to infection bySeptoria nodorum. Phytopathology 67: 874–878

    Google Scholar 

  • Eyal Z, Scharen AL, Prescott JM and van Ginkel M (1987) The septoria diseases of wheat: Concepts and methods of disease management. Mexico, D. F.: CIMMYT

    Google Scholar 

  • Friesland H and Schrödter H (1988) The analysis of weather factors in epidemiology. In: Kranz J and Rotem J (eds) Experimental Techniques in Plant Disease Epidemiology, Springer-Verlag, Heidelberg

    Google Scholar 

  • Gillespie TJ and Sutton JC (1979) A predictive scheme for timing fungicide applications to control alternaria leaf blight in carrots. Canadian Journal of Plant Pathology 1: 95–99

    Google Scholar 

  • Häckel H (1980) Neues über die elektrische Methode zur Messung der Benetzungsdauer unmittelbar an der Pflanze. Agricultural Meteorology 22: 113–119

    Google Scholar 

  • Häckel H (1984) Zur Messung der Benetzungsdauer von Pflanzen: Verfahren und Ergebnisse. Meteorol. Rdsch. 37: 97–104

    Google Scholar 

  • Holmes SJI and Colhoun J (1974) Infection of wheat bySeptoria nodorum andS. tritici in relation to plant age and air temperature and relative humidity. Trans. British Mycol. Soc. 63: 329–338

    Google Scholar 

  • Huband NDS and Butler DR (1984) A comparison of wetness sensors for use with computer or microprocessor systems designed for disease forecasting. British Crop Protection Conference — Pests and Diseases 1984, 633–638

  • Huber L (1988) Modèle de simulation de la durée d'humectation des feuilles au champ après une pluie. Cas d'un couvert homogène. Agronomie 8: 675–684

    Google Scholar 

  • Huber L (1992) Déterminisme et mesure de la durée d'humectation en vue de la protection des plantes. Agronomie 12: 281–295

    Google Scholar 

  • Huber L and Gillespie TJ (1992) Modeling leaf wetness in relation to plant disease epidemiology. Annual review of Phytopathology 30: 553–577

    Google Scholar 

  • Jeger MJ, Griffiths E and Jones DG (1981) Influence of environmental conditions on spore dispersal and infection bySeptoria nodorum. Annals of Applied Biology 99: 29–34

    Google Scholar 

  • Jones AL (1986) The role of wet periods in predicting foliar diseases. In: Leonard KJ and Fry WE (eds) Plant Disease Epidemiology. Vol 1. Population Dynamics and Management, Macmillan Publishing Company, New York

    Google Scholar 

  • Jönsson JÖ (1985) Evaluation of leaf resistance toSeptoria nodorum in winter wheat at seedling and adult plant stage. Agri Hortique Genetica XLIII: 52–68

    Google Scholar 

  • King JE, Cook RJ and Melville SC (1983) A review ofSeptoria diseases of wheat and barley. Annals of Applied Biology 103: 345–373

    Google Scholar 

  • Lomas J and Shashoura Y (1970) The performance of three types of leaf wetness recorders. Agricultural Meteorology 7: 159–166

    Google Scholar 

  • Pedro MJ and Gillespie TJ (1982a) Estimating dew duration. I. Utilizing micrometeorological data. Agricultural Meteorology 25: 283–296

    Google Scholar 

  • Pedro MJ and Gillespie TJ (1982b) Estimating dew duration. II. Utilizing standard weather station data. Agricultural Meteorology 25: 297–310

    Google Scholar 

  • Post JJ (1959) De hydrograaf als bladnatschrijver. Versl. Koninklijk Nederlands Meteorologisch Instituut V-51 (R111: 234–1959)

    Google Scholar 

  • Rapilly F and Skajennikoff M (1974) Études sur l'inoculum deSeptoria nodorum Berk. agent de septoriose du blé. II. Les pycniospores. Annales des Phytopathologie 6: 71–82

    Google Scholar 

  • Rapilly F, Auriau P, Laborie Y, Depatureaux C and Skajennikoff M (1981) Résistance partielle du blé,Triticum aestivum L., àSeptoria nodorum Berk. — Étude du temps d'incubation. Agronomie 1: 771–782

    Google Scholar 

  • Royle DJ, and Butler DR (1986) Epidemiological significance of liquid water in crop canopies and its role in disease forecasting. In: Ayres and Boddy (ed) Water, Fungi and Plants. Cambridge University Press

  • Royle DJ, Shaw MW and Cook RJ (1986) Patterns of development ofSeptoria nodorum andS. tritici in some winter wheat crops in western Europe, 1981–83. Plant Pathology 35: 466–476

    Google Scholar 

  • Scharen AL (1964) Environmental influences on development of glume blotch in wheat. Phytopathology 54: 300–303

    Google Scholar 

  • Scott PR, Benedikz PW, Jones HG and Ford MA (1985) Some effects of canopy structure and microclimate on infection of tall and short wheats bySeptoria nodorum. Plant Pathology 34: 578–593

    Google Scholar 

  • Shaw MW and Royle DJ (1993) Factors determining the severity of epidemics ofMycosphaerella graminicola (Septoria tritici) on winter wheat in the UK. Plant Pathology 42: 882–899

    Google Scholar 

  • Shearer BL and Zadoks JC (1972) The latent period ofS. nodorum in wheat. 1. The effect of temperature and moisture treatments under controlled conditions. Netherlands Journal of Plant Pathology 78: 231–241

    Google Scholar 

  • Shearer BL and Zadoks JC (1974) The latent period ofS. nodorum in wheat. 2. The effect of temperature and moisture treatments under field conditions. Netherlands Journal of Plant Pathology 80: 48–60

    Google Scholar 

  • Smith LP (1956) Potato blight forecasting by 90% humidity criteria. Plant Pathology 5: 83–87

    Google Scholar 

  • Smith LP (1962) The duration of surface wetness (A new approacch to horticultural climatology). Advances in Horticulture Science and their Application 3: 478–483

    Google Scholar 

  • Sutton JC, Gillespie TJ and Hildebrand PD (1984) Monitoring weather factors in relation to plant disease. Plant Disease 68: 78–84

    Google Scholar 

  • Thompson N (1981) The duration of leaf wetness. Meteorological Magazine 110: 1–12

    Google Scholar 

  • Vanderplant JE (1963) Plant Diseases. Epidemics and Control. Academic Press, London

    Google Scholar 

  • Wallin JR (1963) Dew, its significance and measurement in phytopathology. Phytopathology 53: 1201–1216

    Google Scholar 

  • Zadoks JC (1961) Yellow rust on wheat, studies in epidemiology and physiologic specialization. Tijdschr. Plantenziekten 67: 69–256

    Google Scholar 

  • Zadoks JC, Chang TT and Konzak CF (1974) A decimal code for the growth stage of cereals. Weed Research 14: 415–421

    Google Scholar 

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Authors and Affiliations

  1. Department of Plant Pathology, Swedish University of Agricultural Sciences, P.O. Box 7044, S-750 07, Uppsala, Sweden

    A. Djurle & J. E. Yuen

  2. Department of Entomology, Swedish University of Agricultural Sciences, P.O. Box 7044, S-750 07, Uppsala, Sweden

    B. Ekbom

  3. Department of Cancer Epidemiology, Uppsala University, University Hospital, S-751 85, Uppsala, Sweden

    J. E. Yuen

Authors
  1. A. Djurle
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  2. B. Ekbom
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  3. J. E. Yuen
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Djurle, A., Ekbom, B. & Yuen, J.E. The relationship of leaf wetness duration and disease progress of glume blotch, caused byStagonospora nodorum, in winter wheat to standard weather data. Eur J Plant Pathol 102, 9–20 (1996). https://doi.org/10.1007/BF01877111

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