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Analysis of Epidemiological Components in Yield Loss Assessment

  • P. S. Teng
  • K. B. Johnson

Abstract

Plant disease epidemics are multicomponent systems resulting from the dynamic interaction between pathogen populations, host populations, and the physical environment, often influenced by man’s activities (Kranz 1974). Epidemics, like most ecosystem phenomena, possess a hierarchical property which reflects the many levels of complexity in biological organization. Plant disease epidemics have commonly been analyzed from a “top-down” approach using the disease progress curve as a starting level, or a “bottom-up” approach using monocyclic processes as the starting level (Teng 1985 a). Regardless of the approach used, it is generally accepted that the dynamics of epidemics can only be understood by the use of quantitative techniques, foremost of which is modeling. Many models have been published which describe the disease progress curve or alternatively, simulate the effect of environment on pathogen-host interactions. The top-down or bottom-up approaches for studying epidemics are also reflected in studies of disease effects on host plants, in particular, the disease effects which result in yield loss. Assessment of yield/crop losses would be impossible without a means to realistically quantify the dynamics of epidemics.

Keywords

Verticillium Wilt Early Blight Disease Progress Curve Loss Assessment Potato Leafhopper 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Adams SS, Loomis RS (1983) Explanatory simulation of sugar beet yield losses from powdery mildew using coupled models of host and pathogen. Phytopathology 73: 827 (Abstr.)Google Scholar
  2. Boote KS, Jones JW, Mishoe JW, Berger RD (1983) Coupling pests to crop growth simulators to predict yield reductions. Phytopathology 73: 1581–1587CrossRefGoogle Scholar
  3. Bowen KL, Teng PS, Roelfs AP (1984) Negative interplot interference in field experiments with leaf rust of wheat. Phytopathology 74: 1157–1161CrossRefGoogle Scholar
  4. Burleigh JR, Roelfs AP, Eversmeyer MG (1972) Estimating damage to wheat caused by Puccinia recondita tritici. Phytopathology 62: 944–946CrossRefGoogle Scholar
  5. Calpouzos L, Roelfs AP, Madson ME, Martin FB, Welsh JR, Wilcoxson RD (1976) A new model to measure yield losses caused by stem rust in spring wheat. Minn Agric Exp Stn Tech Bull 307: 1–23Google Scholar
  6. Gaunt RE (1980) Physiological basis of yield loss. In: Teng PS, Krupa SV (eds), Crop loss assessment. Minn Agric Exp Stn 7: 98–111Google Scholar
  7. Gutierrez AP, De Vay JE, Pullman GS, Frieberthauser GE (1983) A model of verticillium wilt in relation to cotton growth and development. Phytopathology 73: 89–95CrossRefGoogle Scholar
  8. Harrower KM (1978) A novel technique for assessing the reaction of wheat cultivars to Septoria tritici. In: Close RC et al. (ed) Epidemiology and crop loss assessment. Lincoln College Press, pp 3–1–3–6Google Scholar
  9. Hills FJ, Chiarappa L, Geng S (1980) Powdery mildew of sugar beet: disease and crop loss assessment. Phytopathology 70: 680–682CrossRefGoogle Scholar
  10. James WC (1974) Assessment of plant diseases and losses. Annu Rev Phytopathol 12: 27–48CrossRefGoogle Scholar
  11. James WC (1978) Importance of interplot interference in field experiments involving plant diseases. In: Close RC et al. (ed) Epidemiology and crop loss assessment. Lincoln College Press, pp 29–1–29–15Google Scholar
  12. James WC, Teng PS (1979) The quantification of production constraints associated with plant diseases. Appl. Biol 4: 201–267Google Scholar
  13. James WC, Shih CS, Hodgson WA, Callbeck LC (1972) The quantitative relationship between late blight of potato and loss in tuber yield. Phytopathology 62: 92–96CrossRefGoogle Scholar
  14. James WC, Shih CS, Callbeck LC, Hodgson WA (1973) Interplot interference in field experiments with late blight of potato. Phytopathology 63: 1269–1275CrossRefGoogle Scholar
  15. Johnson KB, Johnson SB, Teng PS (1986 a) A simple potato growth model for crop-pest smanagement. Agric Syst 16: 189–209Google Scholar
  16. Johnson KB, Teng PS, Radcliffe EB (1986b) The eifect of interacting populations of early blight, verticillium wilt and the potato leafhopper on potato yield. Phytopathology 76: 1046–1052CrossRefGoogle Scholar
  17. Katsube T, Koshimizu Y (1970) Influence of blast disease on harvests in rice plant. I. Effect of panicle infection on yield components and quality. Bull Tohoku Natl Agric Exp Stn (Morioka) 39: 55–96Google Scholar
  18. King JE (1976) Relationship between yield loss and severity of yellow rust recorded on a large number of single stems of winter wheat. Plant Path 25: 172 177Google Scholar
  19. Kranz J (1974) Comparison of epidemics. Annu Rev Phytopathol 12: 355–374CrossRefGoogle Scholar
  20. Large EC (1966) Measuring plant disease. Annu Rev Phytopathol 4: 9–28CrossRefGoogle Scholar
  21. Loomis RS, Adams SS (1983) Integrative analyses of host-pathogen relations. Annu Rev Phytopathol 21: 341–362CrossRefGoogle Scholar
  22. MacKenzie DR (1983) Toward the management of crop losses. In: Kommedahl T, Williams PH (ed) Challenging problems in plant health. American Phytopathological Society, St. Paul, USA, pp 82–92Google Scholar
  23. Madden LV (1983) Measuring and modeling crop losses at the field level. Phytopathology 73: 1591–1596CrossRefGoogle Scholar
  24. Madden, LV, Pennypacker SP, Antle CE, Kingsolver CH (1981) A loss model for crops. Phytopathology 71: 685–689CrossRefGoogle Scholar
  25. Meronuck RD, Teng PS (1984) Economic thresholds for chemical control of bean rust. Phytopathology 74: 796 (abstr.)Google Scholar
  26. Monteith JL (1977) Climate and the efficiency of crop production in Britain. Philos Trans R Soc Lond B Biol Sci 2 (1): 277 294Google Scholar
  27. Olofsson B (1968) Determination of the critical injury threshold for potato blight. Medd Waxtskyddsanst Stockholm 14: 81–93Google Scholar
  28. Richardson MJ, Jacks M, Smith S (1975) Assessment of loss caused by barley mildew using single tillers. Plant Path 24: 21–26CrossRefGoogle Scholar
  29. Robinson RA (1976) Plant pathosystems. Springer, Berlin Heidelberg New YorkCrossRefGoogle Scholar
  30. Romig RW, Calpouzos L (1970) The relationship between stem rust and loss in yield of spring wheat. Phytopathology 60: 1801–1805CrossRefGoogle Scholar
  31. Rouse DI (1983) Plant growth models and plant disease epidemics. In: Kommedahl T, Williams PH (eds) Challenging problems in plant health. American Phytopathological Society, St. Paul, USA, pp 387–398Google Scholar
  32. Schneider RW, Williams RJ, Sinclair JB (1976) Cercospora leaf spot of cowpea: models for estimating yield loss. Phytopathology 66: 384–388CrossRefGoogle Scholar
  33. Teng PS (1981) Use of regression analysis for developing crop loss models. In: Chiarappa L (ed) Crop loss assessment methods. FAO/CAB 3: 51–55Google Scholar
  34. Teng PS (1985 a) A comparison of simulation approaches to epidemic modeling. Annu Rev Phytopathol 23: 351–379Google Scholar
  35. Teng PS (1985 b) Construction of predictive models. II. Forecasting crop losses. Adv Plant Pathol 3: 179–206Google Scholar
  36. Teng PS, Bissonnette HL (1985) Developing equations to estimate potato yield loss caused by early blight in Minnesota. Am Potato J 62: 607–618CrossRefGoogle Scholar
  37. Teng PS, Gaunt RE (1981) Modeling systems of disease and yield loss in cereals. Agric Syst 6: 131–154CrossRefGoogle Scholar
  38. Teng PS, Oshima RJ (1983) Identification and assessment of losses. In: Kommedahl T, Williams PH (eds) Challenging problems in plant health. American Phytopathological Society, St. Paul, USAGoogle Scholar
  39. Teng PS, Shane WW (1984) Crop losses caused by plant pathogens. CRC Crit Rev Plant Sci 2: 21–47CrossRefGoogle Scholar
  40. Teng PS, Close RC, Blackie MJ (1979) Comparison of models for estimating yield loss caused by leaf rust on Zephyr barley in New Zealand. Phytopathology 69: 1239–1244CrossRefGoogle Scholar
  41. Van der Plank JE (1963) Plant diseases: epidemics and control. Academic Press, London Zadoks JC, Schein RD ( 1979 ) Epidemiology and plant disease management. Oxford Univ Press, London, New YorkGoogle Scholar
  42. Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weed Res 14: 415–421CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Heidelberg 1988

Authors and Affiliations

  • P. S. Teng
  • K. B. Johnson
    • 1
  1. 1.Department of Plant PathologyUniversity of MinnesotaSt. PaulUSA

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