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Abstract

As stated by Fry (1982) in his recent text, use of disease management techniques “when they are not needed is inefficient at best because their use results in unneeded cost to growers, consumers, and perhaps to the environment.” One approach for determining when or if to apply disease control techniques is the use for forecasting systems. The intensive development and use of plant disease forecasters is a relatively new and exciting application of epidemiology.

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References

  • Berger RD (1969) A celery early blight spray program based on disease forecasting. Proc Fla State Hortic Soc 82: 107–111

    Google Scholar 

  • Bourke PMA (1970) Use of weather information in the prediction of plant disease epiphytotics. Annu Rev Phytopathol 8: 345–370

    Article  Google Scholar 

  • Burleigh JR, Eversmeyer MG, Roelfhs AP (1972) Development of linear equations for predicting wheat leaf rust. Phytopathology 62: 947–953

    Article  Google Scholar 

  • Butt DJ, Jeger MJ (1985) The practical implementation of models in crop disease management. In: Gilligan CA (ed) Advances in plant pathology, vol 3. Mathematical modelling of crop disease. Academic Press, London, pp 207–230

    Google Scholar 

  • Butt DJ, Royle DJ (1974) Multiple regression analysis in the epidemiology of plant diseases. In: Kranz J (ed) Epidemics of plant diseases. Mathematical analysis and modeling. Springer, Berlin Heidelberg New York, pp 78–114

    Google Scholar 

  • Coakley SM, Boyd WS, Line RF (1982) Statistical models for predicting stripe rust on winter wheat in the Pacific Northwest. Phytopathology 72: 1539–1542

    Article  Google Scholar 

  • Coakley SM, McDaniel LR, Shaner G (1985) Model for predicting severity of Septoria tritici blotch on winter wheat. Phytopathology 75: 1254–1251

    Article  Google Scholar 

  • Ellis MA, Madden LV, Wilson LL (1984) Evaluation of an electronic apple scab predictor for scheduling fungicides with curative activity. Plant Dis 68: 1055–1057

    CAS  Google Scholar 

  • Ellis MA, Madden LV, Wilson LL (1986) An electronic grape black rot predictor for scheduling fungicides with curative activity. Plant Disease 70: 938–940

    Article  CAS  Google Scholar 

  • Fohner GR, Fry WE, White GB (1984) Computer simulation raises question about timing protectant fungicide application frequence according to a potato late blight forecast. Phytopathology 74: 1145–1147

    Article  Google Scholar 

  • Fry WE (1982) Principles of plant disease management. Academic Press, London

    Google Scholar 

  • Fry WE, Fohner GR (1985) Construction of predictive models. I. Forecasting disease development. In: Gilligan CA (ed) Advances in plant pathology, vol 3. Mathematical modelling of crop disease. Academic Press, London, pp 161–178

    Google Scholar 

  • Fry WE, Apple AE, Bruhn J A (1983) Evaluation of potato late blight forecasts modified to incorporate host resistance and fungicide weathering. Phytopathology 73: 1054–1059

    Article  Google Scholar 

  • Gill JL (1978) Design and analysis of experiments in the animal and medical sciencies, vol 2. The Iowa State Univ Press, Ames Grove GG, Madden LV, Ellis MA, Schmitthenner AF (1985) Influence of temperature and wetness duration on infection of immature strawberry fruit by Phytophthora cactorum. Phytopathology 75: 165–169

    Google Scholar 

  • Harrison MD, Livingston CH, Oshima N (1965) Control of potato early blight in Colorado; II. Spore traps as a guide for initiating applications of fungicides. Am Potato J 42: 333–340

    Google Scholar 

  • Hau B, Eisensmith SP, Kranz J (1985) Construction of temporal models: II. Simulation of arial epidemics. In: CA Gilligan (ed) Mathematical Modelling of crop disease. Adv plant pathology vol 3, pp 31–65

    Google Scholar 

  • Hyre RA (1959) The development of a method for forecasting downy mildew of lima bean. Plant Dis Rep 257: 179–180

    Google Scholar 

  • Jones AL, Fisher PD, Seem RC, Kroon JC, Van de Motter PJ (1984) Development and commercialization of an in-field microcomputer delivery system for weather-driven predictive models. Plant Dis 68: 458–463

    Google Scholar 

  • Krause RA, Massie LB (1975) Predictive systems: modern approaches to disease control. Annu Rev Phytopathol 13: 31–47

    Article  Google Scholar 

  • Lachenbruch PA (1975) Discriminant analysis. Hafner, New York

    Google Scholar 

  • MacHardy WE, Gadoury DM (1985) Forecasting the seasonal maturation of ascospores of Venturia inaequalis. Phytopathology 75: 381–385

    Article  Google Scholar 

  • MacKenzie DR (1981) Scheduling fungicide applications for potato late blight with BLITECAST. Plant Dis 65: 394–399

    Article  Google Scholar 

  • Madden LV (1980) Quantification of disease progress. Prof. Ecology 2: 159–176

    Google Scholar 

  • Madden LV (1983) Measuring and modeling crop losses at the field level. Phytopathology 73: 1591–1596

    Article  Google Scholar 

  • Madden L, Pennypacker SP, MacNab A A (1978) FAST, a forecast system for Alternaria solani on tomato. Phytopathology 68: 1354–1358

    Article  Google Scholar 

  • Madden LV, Knoke JK, Louie R (1983) Classification and prediction of maize dwarf mosaic intensity. In: Gordon DT, Knoke JK, Nault LR, Ritter RM (eds) Proc Int Maize Virus Disease Colloq and Workshop, 2–6 August 1982. The Ohio State Univ, Ohio Agric Res and Devel Center, Wooster, pp 238–242

    Google Scholar 

  • Miller PR (1959) Plant disease forecasting. In: Holtan CS (ed) Plant pathology problems and progress. Univ of Wisconsin Press, Madison, pp 557–565

    Google Scholar 

  • Neter J, Wasserman W, Kutner MH (1983) Applied linear regression models. Irwin, Homewood, IL

    Google Scholar 

  • Parvin DW Jr, Smith DH, Crosby FL (1974) Development and evoluation of a computerized forecasting method for Cercospora leaf spot of peanuts. Phytopathology 64: 385–388

    Article  Google Scholar 

  • Pennypacker SP, Stevenson RE (1982) The management of plant pathogens. In: Hatfield JL, Thomason IJ (eds) Biometerology in integrated pest management. Academic Press, London, pp 243–265

    Google Scholar 

  • Rouse DI, Nordheim EV, Hirano SL, Upper CD (1985) A model relating the probability of foliar disease incidence to the population frequencies of bacterial plant pathogens. Phytopathology 75: 505–509

    Article  Google Scholar 

  • Royle DJ (1973) Quantitative relationships between infection by the hop downy mildew pathogen, Pseudoperonospora humuli, and weather and inoculum factors. Ann Appl Biol 73: 19–30

    Article  Google Scholar 

  • Schrödter H, Ullrich J (1965) Untersuchungen zur Biometeorologie und Epidemiologie von Phytophthora infestans ( Mont.) de By auf mathematisch-statistischer Grundlage. Phytopathol Z 54: 87–103

    Google Scholar 

  • Shoemaker PB, Lorbeer JW (1977) Timing initial fungicide applications to control Botrytis leaf blight epidermics on onions. Phytopathology 67: 409–414

    Article  Google Scholar 

  • Shrum RD (1978) Forecasting of epidemics. In: Horsfall JG, Cowling EB (eds) Disease, an advanced treatise, vol. 2. How disease develops in populations. Academic Press, London, pp 223–238

    Google Scholar 

  • Spotts RA (1977) Effect of leaf wetness duration and temperature on the infectivity of Guignardia bidwellii on grape leaves. Phytopathology 67: 1378–1381

    Article  Google Scholar 

  • Stevens NE (1935) Experimental forecast of the incidence of bacterial wilt of corn in 1935. Plant Dis Rep 19: 69–70

    Google Scholar 

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

    Google Scholar 

  • Thresh JM (1986) Plant virus disease forecasting. In: McLean GD, Garrett RG, Ruesink NG (eds) Plant virus epidemiology: monitoring modelling, and predicting outbreaks. Academic Press, London, pp 359–386

    Google Scholar 

  • Van der Plank JE (1975) Principles of plant infection. Academic Press, London

    Google Scholar 

  • Waggoner PE (1960) Forecasting epidemics. In: Horsfall JG, Dimond AE (eds) Plant pathology, an advanced treatise, vol 3. Academic Press, London, pp 291–312

    Google Scholar 

  • Zadoks JC (1984) A quarter century of disease warning, 1958-1983. Plant Dis 68: 352–355

    Google Scholar 

Download references

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© 1988 Springer-Verlag Heidelberg

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Madden, L.V., Ellis, M.A. (1988). How to Develop Plant Disease Forecasters. In: Kranz, J., Rotem, J. (eds) Experimental Techniques in Plant Disease Epidemiology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-95534-1_14

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  • DOI: https://doi.org/10.1007/978-3-642-95534-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-95536-5

  • Online ISBN: 978-3-642-95534-1

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