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Disease assessment and yield loss

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The Epidemiology of Plant Diseases

Abstract

Plant disease assessment, or phytopathometry (Large, 1966), involves the measurement and quantification of plant disease and is therefore of fundamental importance in the study and analysis of plant disease epidemics. The importance of accurate disease assessment methods was identified in early reviews on phytopathometry and crop loss assessment by Chester (1950) and Large (1966). Traditional methods of disease assessment, such as the use of pictorial keys derived from standard area diagrams to evaluate disease severity on a 0–100% scale, have now been joined by several new approaches made possible by rapid advances in computer technology. In addition, modern assays using immunological and molecular techniques for the identification, detection and quantification of plant pathogenic organisms are used. Other new approaches to phytopathometry have evolved in which remote sensing, image analysis and the detection of crop stress caused by disease (using changes in chlorophyll fluorescence and foliage temperature) are involved.

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References

  • Anon. (1947) The measurement of potato blight. Transactions of the British Mycological Society, 31, 140–141.

    Article  Google Scholar 

  • Bawden, F.C. (1933) Infrared photography and plant virus diseases. Nature, 132, 168.

    Article  Google Scholar 

  • Bryson, R.J., Sylvester-Bradley, R., Scott, R.K. and Paveley, N.D. (1995) Reconciling the effects of yellow rust on yield of winter wheat through measurements of green leaf area and radiation interception. Aspects of Applied Biology, 42, 9–18.

    Google Scholar 

  • Calpouzos, L., Roelfs, A.P., Madson, M.E. et al. (1976) A new model to measure yield losses caused by stem rust in spring wheat. Technical Bulletin Agriculture Experimental Station No. 397, University of Minnesota, St Paul, Minnesota.

    Google Scholar 

  • Campbell, C.L. and Madden, L.V. (1990a) Monitoring epidemics: disease, in Introduction to Plant Disease Epidemiology, John Wiley, New York, pp. 107–128.

    Google Scholar 

  • Campbell, C.L. and Madden, L.V. (1990b) Temporal analysis of epidemics 1: description and comparison of disease progress curves, in Introduction to Plant Disease Epidemiology, John Wiley, New York, pp. 161–202.

    Google Scholar 

  • Campbell, C.L. and Madden, L.V. (1990c) Crop loss assessment and modelling, in Introduction to Plant Disease Epidemiology, John Wiley, New York, pp. 393–422.

    Google Scholar 

  • Chaube, H.S. and Singh, V.S. (1991) Pathometry — assessment of disease incidence and loss, in Plant Disease Management, Principles and Practices, CRC Press, Florida, pp. 119–131.

    Google Scholar 

  • Chester, K.S. (1950) Plant disease losses: their appraisal and interpretation. Plant Disease Reporter Supplement No. 193, 189–362.

    Google Scholar 

  • Chiarappa, L. (1971) (ed.) Crop Loss Assessment Methods, Commonwealth Agricultural Bureaux, Slough, UK, 200 pp.

    Google Scholar 

  • Chiarappa, L. (1981) (ed.) Crop Loss Assessment Methods — Supplement 3, Commonwealth Agricultural Bureaux, Slough, UK, 123 pp.

    Google Scholar 

  • Church, B.M. (1971) The place of sample survey in crop loss estimation, in Crop Loss Assessment Methods, (ed. L. Chiarappa), Commonwealth Agricultural Bureaux, Slough, UK, pp. 2.2/1–2.2/8.

    Google Scholar 

  • Cobb, N.A. (1892) Contribution to an economic knowledge of the Australian rusts (Uredineae). Agricultural Gazette N.S. Wales, 3, 60.

    Google Scholar 

  • Cook, R.J. and King, J.E. (1984) Losses caused by cereal diseases and the economics of fungicidal control, in Plant Diseases, Infection, Damage and Loss (eds R.K.S. Wood and G.J. Jellis ), Blackwell, Oxford, 238 pp.

    Google Scholar 

  • Daley, P.F. (1995) Chlorophyll fluorescence analysis and imaging in plant stress and disease. Canadian Journal of Plant Pathology, 17, 167–173.

    Article  Google Scholar 

  • Deadman, M.L. and Cooke, B.M. (1987) Effects of net blotch on growth and yield of spring barley. Annals of Applied Biology, 110, 33–42.

    Article  Google Scholar 

  • Deadman, M.L. and Cooke, B.M. (1989) An analysis of rain-mediated dispersal of Drechslera teres conidia in field plots of spring barley. Annals of Applied Biology, 115, 209–214.

    Article  Google Scholar 

  • de Jong, P.D. and de Bree, J. (1995) Analysis of the spatial distribution of rust-infected leek plants with the Black-White join-count statistic. European Journal of Plant Pathology, 101, 133–137.

    Article  Google Scholar 

  • Delp, B.R., Stowell, L.J. and Marois, J.J. (1986a) Field Runner: a disease incidence, severity and spatial pattern assessment system. Plant Disease, 70, 954–957.

    Article  Google Scholar 

  • Delp, B.R., Stowell, L.J. and Marois, J.J. (1986b) Evaluation of field sampling techniques for estimation of disease incidence. Phytopathology, 76, 1299–1305.

    Article  Google Scholar 

  • de Tempe, J. (1964) Recent developments in seed health testing. Proceedings of the International Seed Testing Association, 29, 479–486.

    Google Scholar 

  • Dixon, G.R. and Doodson, J.K. (1971) Assessment keys for some diseases of vegetable, fodder, and forage crops. Journal of the National Institute of Agricultural Botany, 23, 299–307.

    Google Scholar 

  • Edwards, S.J., Collin, H.A. and Isaac, S. (1997) The response of different celery genotypes to infection by Septoria apiicola. Plant Pathology, 46, 264–270.

    Article  Google Scholar 

  • Eyal, Z. and Brown, M.B. (1976) A quantitative method for estimating density of Septoria tritici pycnidia on wheat leaves. Phytopathology, 66, 11–14.

    Article  Google Scholar 

  • Eyal, Z. and Ziv, O. (1974) The relationship between epidemics of septoria leaf blotch and yield losses in spring wheat. Phytopathology, 64, 1385–1389.

    Article  Google Scholar 

  • Eyal, Z., Yurman, R., Moseman, J.G. and Wahl, I. (1973) Use of mobile nurseries in pathogenicity studies of Erysiphe graminis hordei on Hordeum spontaneum. Phytopathology, 63, 1330–1334.

    Article  Google Scholar 

  • Forbes, G.A. and Jeger, M.J. (1987) Factors affecting the estimation of disease intensity in simulated plant structures. Zeitschrift fuer Pflanzen krankheiten and Pflanzenschutz, 94, 113–120.

    Google Scholar 

  • Fox, R.T.V. (1993a) Detection of disease outbreaks in the field, in Principles of Diagnostic Techniques in Plant Pathology, CAB International, Wallingford, UK, pp. 1–7.

    Google Scholar 

  • Fox, R.T.V. (1993b) Immunological techniques for identification, in Principles of Diagnostic Techniques in Plant Pathology, CAB International, Wallingford, UK, pp. 129–151.

    Google Scholar 

  • Gaunt, R.E. (1995) New technologies in disease measurement and yield loss appraisal. Canadian Journal of Plant Pathology, 17, 185–189.

    Article  Google Scholar 

  • Gough, F.J. (1978) Effect of wheat host cultivars on pycnidiospore production by Septoria tritici. Phytopathology, 68, 1343–1345.

    Article  Google Scholar 

  • Griffiths, H.M., Jones, D.G. and Akers, A. (1985) A bioassay for predicting the resistance of wheat leaves to Septoria nodorum. Annals of Applied Biology, 107, 293–300.

    Article  CAS  Google Scholar 

  • Gunnarsson, T., Almgren, I., Lydén, P. et al. (1996) The use of ergosterol in the pathogenic fungus Bipolaris sorokiniana for resistance rating of barley cultivars. European Journal of Plant Pathology, 20, 883–889.

    Article  Google Scholar 

  • Hanway, J.J. (1963) Growth stages of corn (Zea mays L.). Agronomy Journal, 55, 487–492. Hebert, T.T. (1982) The rationale for the Horsfall-Barratt plant disease assessment scale. Phytopathology, 72, 1269.

    Google Scholar 

  • Hills, F.J., Chiarappa, L. and Geng, S. (1980) Powdery mildew of sugarbeet: disease and crop loss assessment. Phytopathology, 70, 680–682.

    Article  Google Scholar 

  • Horsfall, J.G. and Barratt, R.W. (1945) An improved grading system for measuring plant disease. Phytopathology, 35, 655 (Abstr.).

    Google Scholar 

  • Hughes, G. (1996) Incorporating spatial pattern of harmful organisms into crop loss models. Crop Protection, 15, 407–421.

    Article  Google Scholar 

  • Hughes, G. and Madden, L.V. (1995) Some methods allowing for aggregated patterns of disease incidence in the analysis of data from designed experiments. Plant Pathology, 44, 927–943.

    Article  Google Scholar 

  • Hughes, G., McRoberts, N., Madden, L.V. and Gottwald, T.R. (1997) Relationships between disease incidence at two levels in a spatial hierarchy. Phytopathology, 87, 542–550.

    Article  PubMed  CAS  Google Scholar 

  • James, W.C. (1971) An illustrated series of assessment keys for plant diseases, their preparation and usage. Canadian Plant Disease Survey, 51, 39–65.

    Google Scholar 

  • James, W.C. (1983) Crop loss assessment, in Plant Pathologist’s Pocketbook, 2nd edn, (eds A. Johnston and C. Booth ), Commonwealth Mycological Institute, Kew, UK, pp. 130–143.

    Google Scholar 

  • James, W.C., Jenkins, J.E.E. and Jemmett, J.L. (1968) The relationship between leaf blotch caused by Rhynchosporium secalis and losses in grain yield of spring barley. Annals of Applied Biology, 62, 273–288.

    Article  Google Scholar 

  • James, W.C., Shih, C.S., Hodgson, W.A. and Callbeck, L.C. (1972) The quantitative relationship between late blight of potato and loss in tuber yield. Phytopathology, 62, 92–96.

    Article  Google Scholar 

  • Jeger, M.J. (1981) Disease measurement in a study of apple scab epidemics. Annals of Applied Biology, 99, 43–51.

    Article  Google Scholar 

  • Jones, D.G. and Clifford, B.C. (1978) Pathological techniques, in Cereal Diseases, their Pathology and Control, BASF, Ipswich, UK, pp. 52–94.

    Google Scholar 

  • Khan, T.N. and Boyd, W.J.R. (1969) Physiologic specialisation in Drechslera teres. Australian Journal of Biological Science, 22, 1229–1235.

    Google Scholar 

  • Kirby, E.J.M. and Appleyard, M. (1981) Cereal Development Guide. National Agricultural Centre, Stoneleigh, UK, 80 pp.

    Google Scholar 

  • Knott, C.M. (1987) A key for the stages of the development of the pea. Annals of Applied Biology, 111, 233–244.

    Article  Google Scholar 

  • Knott, C.M. (1990) A key for stages of development of the faba bean (Vicia faba). Annals of Applied Biology, 116, 391–404.

    Article  Google Scholar 

  • Lancashire, P.D., Bleiholder, H., Van den Boom, T. et al. (1991) A uniform decimal code for growth stages of crops and weeds. Annals of Applied Biology, 119, 561–601.

    Article  Google Scholar 

  • Large, E.C. (1952) The interpretation of progress curves for potato blight and other plant diseases. Plant Pathology, 1, 109–117.

    Article  Google Scholar 

  • Large, E.C. (1954) Growth stages in cereals. Illustration of the Feekes’ scale. Plant Pathology, 3, 128–129.

    Article  Google Scholar 

  • Large, E.C. (1966) Measuring plant disease. Annual Review of Phytopathology, 4, 9–28.

    Article  Google Scholar 

  • Lindow, S.E. and Webb, R.R. (1983) Quantification of foliar plant disease symptoms by micro-computer-digitized video image analysis. Phytopathology, 73, 520–524.

    Article  Google Scholar 

  • Lovell, D.J., Parker, S.R., Hunter, T. et al. (1997) Influence of crop growth and structure on the risk of epidemics by Mycosphaerella graminicola (Septoria tritici) in winter wheat. Plant Pathology 46, 126–138.

    Article  Google Scholar 

  • Madden, L.V. and Nutter, F.W. (1995) Modelling crop losses at the field scale. Canadian Journal of Plant Pathology, 17, 124–137.

    Article  Google Scholar 

  • Neblette, C.B. (1927) Aerial photography for the study of plant diseases. Photo-Era Magazine, 58, 346.

    Google Scholar 

  • Neergaard, P. (1979) Seed health testing methods, in Seed Pathology, Vol. I, Macmillan, London, pp. 715–802.

    Google Scholar 

  • Nilsson, H.-E. (1995) Remote sensing and image analysis in plant pathology. Canadian Journal of Plant Pathology, 17, 154–166.

    Article  Google Scholar 

  • Nutter, F.W. and Schultz, P.M. (1995) Improving the accuracy and precision of disease assessments: selection of methods and use of computer-aided training programs. Canadian Journal of Plant Pathology, 17, 174–184.

    Article  Google Scholar 

  • Nutter, F.W. and Worawitlikit, O. (1989) Disease.Pro: A computer program for evaluating and improving a person’s ability to assess disease proportion. Phytopathology,79 1135 (Abstr.).

    Google Scholar 

  • Nutter, F.W., Teng, P.S. and Shokes, F.M. (1991) Disease assessment terms and concepts. Plant Disease, 75, 1187–1188.

    Google Scholar 

  • Nutter, F.W., Teng, P.S. and Royer, M.H. (1993) Terms and concepts for yield, crop loss, and disease thresholds. Plant Disease, 77, 211–215.

    Google Scholar 

  • Oerke E.-C. and Dehne, H.-W. (1997) Global crop production and the efficacy of crop protection — current situation and future trends. European Journal of Plant Pathology, 103, 203–215.

    Article  Google Scholar 

  • Oliver, R.P. (1993) Nucleic-acid based methods for detection and identification, in Principles of Diagnostic Techniques in Plant Pathology (ed. R.T.V. Fox ), CAB International, Wallingford, UK, pp. 153–169.

    Google Scholar 

  • Parker, S.R. and Royle, D.J. (1993) Sampling and monitoring disease in winter wheat. HGCA Project Report No. 71, 66 pp.

    Google Scholar 

  • Parker, S.R., Shaw, M.W. and Royle, D.J. (1995) The reliability of visual estimates of disease severity on cereal leaves. Plant Pathology, 44, 856–864.

    Article  Google Scholar 

  • Parry, D.W. (1990) What effect does disease have on the crop?, in Plant Pathology in Agriculture, Cambridge University Press, pp. 69–85.

    Google Scholar 

  • Pettitt, T.R., Parry, D.W. and Polley, R.W. (1993) Improved estimation of the incidence of Microdochium nivale in winter wheat stems in England and Wales, during 1992, by use of benomyl agar. Mycological Research, 97, 1172–1174.

    Article  Google Scholar 

  • Reddy, M.V., Singh, K.B. and Nene, Y.L. (1981) Screening techniques for Ascochyta blight of chickpea, in Proceedings of the Workshop on Ascochyta Blight and Winter Sowing of Chickpea, Aleppo, Syria, May 4–7, 1981, (eds M.C. Saxena and K.B. Singh), Martinus Nijhoff and W. Junk, Aleppo, Syria. [Cited in Strange, R.N. (1993) Plant Disease Control, Towards Environmentally Acceptable Methods, Chapman & Hall, London, p. 93.]

    Google Scholar 

  • Ride, J.P. and Drysdale, R.B. (1972) A rapid method for the chemical estimation of filamentous fungi in plant tissue. Physiological Plant Pathology, 2, 7–15.

    Article  CAS  Google Scholar 

  • Rosielle, A.A. (1972) Sources of resistance in wheat to speckled leaf blotch caused by Septoria tritici. Euphytica, 21, 152–161.

    Article  Google Scholar 

  • Saari, E.E. and Prescott, J.M. (1975) A scale for appraising the foliar intensity of wheat diseases. Plant Disease Reporter, 59, 377–380.

    Google Scholar 

  • Schneiter, A.A. and Miller, J.F. (1981) Description of sunflower growth stages. Crop Science, 21, 901–903.

    Article  Google Scholar 

  • Schots, A., Dewey, F.M. and Oliver, R.P. (eds) (1994) Modern Assays for Plant Pathogenic Fungi: Identification, Detection and Quantification, CAB International, Wallingford, UK, 267 pp.

    Google Scholar 

  • Schumann, G.L. (1991) Plant disease epidemics and their management, in Plant Diseases: Their Biology and Social Impact, APS Press, Minnesota, pp. 123–148.

    Google Scholar 

  • Scott, P.R. and Hollins, T.W. (1974) Effects of eyespot on the yield of winter wheat. Annals of Applied Biology, 78, 269–279.

    Article  Google Scholar 

  • Seem, R.C. (1984) Disease incidence and severity relationships. Annual Review of Phytopathology, 22, 133–150.

    Article  Google Scholar 

  • Shane, W.W., Thompson, C.E. and Teng, P.S. (1985) AREAGRAM - A standard area diagram program for the Apple computer. Phytopathology, 75, 1363 (Abstr.).

    Google Scholar 

  • Shaner, E. and Finney, R.E. (1977) The effect of nitrogen fertilization on the expression of slow-mildewing resistance in Knox wheat. Phytopathology, 67, 1051–1056.

    Article  CAS  Google Scholar 

  • Subba Rao, P.V., Subrahmanyam, P. and Reddy, P.M. (1990) A modified 9-point disease scale for assessment of rust and late leaf spot of groundnut. Proceedings of a Meeting of the French Phytopathological Society, Montpellier, France. [Cited in R.N. Strange (1993) Plant Disease Control, Towards Environmentally Acceptable Methods, Chapman & Hall, London, pp. 94–95.]

    Google Scholar 

  • Sylvester-Bradley, R., Makepeace, R.J. and Broad, H. (1984) A code for stages of development in oilseed rape (Brassica napus L.). Aspects of Applied Biology 6, Agronomy, physiology, plant breeding and crop protection of oilseed rape, 399–419.

    Google Scholar 

  • Taubenhaus, J.J., Ezekiel, W.N. and Neblette, C.B. (1929) Airplane photography in the study of cotton root rot. Phytopathology, 19, 1025–1029.

    Google Scholar 

  • Teng, P.S. (1985) Construction of predictive models. II. Forecasting crop losses. Advances in Plant Pathology, Vol. 3: Mathematical Modelling of Crop Disease (ed. C.A. Gilligan ), Academic Press, UK, pp. 179–206.

    Google Scholar 

  • Tomerlin, J.R. and Howell, T.A. (1988) DISTRAIN: A computer program for training people to estimate disease severity on cereal leaves. Plant Disease, 72, 455–459.

    Google Scholar 

  • Tottman, D.R. and Broad, H. (1987) The decimal code for the growth stages of cereals, with illustrations. Annals of Applied Biology, 110, 441–454.

    Article  Google Scholar 

  • Tottman, D.R., Makepeace, R.J. and Broad, H. (1979) An explanation of the decimal code for the growth stages of cereals, with illustrations. Annals of Applied Biology, 93, 221–234.

    Article  Google Scholar 

  • Van der Plank, J.E. (1963) Plant Diseases: Epidemics and Control. Academic Press, London, 349 pp.

    Google Scholar 

  • Waggoner, P.E. and Berger, R.D. (1987) Defoliation, disease and growth. Phytopathology, 77, 393–398.

    Google Scholar 

  • Watson, G. and Morton, V. (1990) Standardisation of disease assessment and product performance reporting: an industry perspective. Plant Disease, 74, 401–402.

    Google Scholar 

  • Wheeler, B.E.J. (1976) Development of diseases in crops, in Diseases in Crops, Edward Arnold, London, pp. 22–36.

    Google Scholar 

  • Zadoks, J.C., Chang, T.T. and Konzak, C.F. (1974) A decimal code for the growth stages of cereals. Weed Research, 14, 415–421.

    Article  Google Scholar 

  • Zadoks, J.C. and Schein, R.D. (1979) Disease and crop loss assessment, in Epidemiology and Plant Disease Management, Oxford University Press, New York, pp. 237–281.

    Google Scholar 

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  1. B. M. Cooke
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  1. Hillview, Dene Road, Tone Vale, Taunton, Somerset, TA4 1DG, UK

    D. Gareth Jones

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Cooke, B.M. (1998). Disease assessment and yield loss. In: Jones, D.G. (eds) The Epidemiology of Plant Diseases. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3302-1_3

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  • DOI: https://doi.org/10.1007/978-94-017-3302-1_3

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