A perspective on the measurement of time in plant disease epidemiology

Plant Pathology

Volumn 53, Issue 6, 2004, Pages 705-712

  Lovell, D J ^a   Powers, S J ^a   Welham, S J ^a   Parker, S R ^b  

^a ROTHAMSTED RESEARCH   (United Kingdom)

^b CENTRAL SCIENCE LABORATORY   (United Kingdom)

Author keywords

Degree days; Epidemic rate; Thermal time

Indexed keywords

EPIDEMIOLOGY; HOST-PATHOGEN INTERACTION; PLANT; TEMPERATURE; TIME;

EID: 11144233373     PISSN: 00320862     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-3059.2004.01097.x     Document Type: Article

References (42)

1. Aikman DP, Scaife A, 1993. Modelling plant growth under varying environmental conditions in a uniform canopy. Annals of Botany 72, 485-92.
2. Arnold CY, 1959. The determination and significance of the base temperature in a linear heat unit system. Proceedings of the American Society for Horticultural Science 74, 430-5.
3. Baker JT, Reddy VR, 2001. Temperature effects on phenological development and yield of muskmelon. Annals of Botany 87, 605-13.
4. Blunt SJ, Asher MJC, Gilligan CA, 1992. The effect of sowing date on the infection of sugar beet by Polymyxa betae. Plant Pathology 41, 148-53.
5. Bonhomme R, 2000. Bases and limits to using degree day units. European Journal of Agronomy 13, 1-10.
6. Brasset PR, Gilligan CA, 1989. Fitting of simple models for field disease progress data for the take-all fungus. Plant Pathology 38, 397-407.
7. Butt DJ, Royle DJ, 1978. The importance of terms and definitions for a conceptually unified epidemiology. In: Palti J, Kranz J, eds. Comparative Epidemiology: A Tool for Better Disease Management. Wageningen, the Netherlands: Centre for Agricultural Publishing and Documentation, 29-45.
8. Clarkson JP, Phelps K, Whipps JM, Young CS, Smith JA, Watling M, 2004. Forecasting sclerotinia disease on lettuce: towards developing a prediction model for carpogenic germination of sclerotia. Phytopathology 94, 268-79.
9. Crute IR, 2003. Increased crop productivity from renewable inputs - a scientific challenge for the 21st century. In: Proceedings of the BCPC International Congress - Crop Science and Technology 2003. Alton, UK: British Crop Protection Council, 3-14.
10. Davies H, 1990. Studies of the Biology and Epidemiology of Rhynchosporium secalis (Leaf Blotch on Barley). London, UK: University of London, PhD thesis.
11. Fukui R, Fukui H, Alvarez AM, 1999. Effect of temperature on the incubation period and leaf colonisation in bacterial blight of anthurium. Phytopathology 89, 1007-14.
12. GenStat, 2003. GENSTAT, 7th edn. GenStat Procedure Library Release PL15. Rothamsted, UK: Lawes Agricultural Trust.
13. Gladders P, Paveley ND, Barrie IA, Hardwick NV, Hims MJ, Langton S, Taylor MC, 2001. Agronomic and meteorological factors affecting the severity of leaf blotch caused by Mycosphaerella graminicola in commercial wheat crops in England. Annals of Applied Biology 138, 301-11.
14. Grundy AC, Phelps K, Reader RJ, Burston S, 2000. Modelling the germination of Stellaria media using the concept of hydrothermal time. New Phytologist 148, 433-44.
15. Lovell DJ, Parker SR, Hunter T, Royle DJ, Coker RR, 1997. Influences of crop growth and canopy structure on the risk of epidemics by Mycosphaerella graminicola (Septoria tritici) in winter wheat. Plant Pathology 46, 126-38.
16. Lovell DJ, Hunter T, Powers SJ, Parker SR, Van den Bosch F, 2004. Effect of temperature on latent period of septoria leaf blotch on winter wheat under outdoor conditions. Plant Pathology 53, 170-81.
17. Milholland RD, 1977. Sclerotium germination and histopathology of Monilinia vaccinii-corymbosi from mummified highbush blueberry. Phytopathology 67, 848-54.
18. Mol L, Huisman OC, Scholte K, Struik PC, 1996. Theoretical approach to the dynamics of the inoculum density of Verticillium dahliae in the soil: first test of a simple model. Plant Pathology 45, 192-204.
19. Olivier FC, Annandale JG, 1998. Thermal time requirements for the development of green pea (Visum sativum L.). Field Crops Research 56, 301-7.
20. Parker SR, Lovell DJ, 2001. Quantifying the benefits of a novel seed treatment for foliar disease control. In: Seed Treatment, Challenges and Opportunities, BCPC Symposium Proceedings No. 76. Alton, UK: British Crop Protection Council, 181-8.
21. Parton WJ, Logan JA, 1981. A model for diurnal variation in soil and air-temperature. Agricultural Meteorology 23, 205-16.
22. Pfender WF, 2003. Prediction of stem rust infection favourability, by means of degree-hour wetness duration, for perennial ryegrass seed crops. Phytopathology 93, 467-77.
23. Pietravalle S, Shaw MW, Parker SR, van den Bosch F, 2003. Modeling of relationships between weather and winter wheat diseases: a critical approach. Phytopathology 93, 1329-39.
24. Powers SJ, Brain P, Barlow PW, 2003. First-order differential equation models with estimable parameters as functions of environmental variables and their application to a study a vascular development in young hybrid aspen stems. Journal of Theoretical Biology 222, 219-32.
25. Purcell LC, 2003. Comparison of thermal units derived from daily and hourly temperatures. Crop Science 43, 1874-9.
26. Reader RJ, Phelps K, 1991. Modelling the development of temperature-dependent processes. GenStat Newsletter 28, 27-32.
27. Réaumur RA, 1735. Observations du thermomètre faites pendant l'année MDCCXXXV comparées à celles qui ont été faites sous la ligne à l'Isle-de-France, à Alger et en quelquesunes de nos Isles de l'Amérique. Mémoires de l'Académie Royal des Sciences, 545-76.
28. Reicosky DC, Winkelman LJ, Baker JM, Baker DG, 1989. Accuracy of hourly air temperatures calculated from daily minima and maxima. Agricultural and Forest Meteorology 46, 193-209.
29. Rowe RC, Powelson RL, 1973. Epidemiology of Cercosporella footrot of wheat: spore production. Phytopathology 63, 981-4.
30. Scherm H, Vanbruggen AHC, 1994. Effects of fluctuating temperatures on the latent period of lettuce downy mildew (Bremia lactucae). Phytopathology 84, 853-9.
31. Scherm H, Savelle AT, Pusey LP, 2001. Interactions between chill-hours and degree-days affect carpogenic germination in Monilinia vaccinii-corymbosi. Phytopathology 91, 77-83.
32. Schoeny A, Lucas P, 1999. Modeling of take-all epidemics to evaluate the efficacy of a new seed-treatment fungicide on wheat. Phytopathology 89, 954-61.
33. Sharpe PJH, DeMichele DW, 1977. Reaction kinetics of poikilotherm development. Journal of Theoretical Biology 64, 649-70.
34. Spotts RA, Cervantes LA, 1994. Factors affecting maturation and release of ascospores of Venturia pirina in Oregon. Phytopathology 88, 260-4.
35. Teng PS, Close RC, 1978. Effect of temperature and uredinium density on urediniospore production, latent period and infectious period of Puccinia hordei Otth. New Zealand Journal of Agricultural Research 21, 287-96.
36. Toscano-Underwood C, Huang YJ, Fitt BDL, Hall AM, 2003. Effects of temperature on maturation of pseudothecia of Leptosphaeria maculans and L. biglobosa on oilseed rape stem debris. Plant Pathology 52, 726-36.
37. Tyldesley JB, 1978. A method of evaluating the effect of temperature on an organism when the response is non-linear. Agricultural Meteorology 19, 137-53.
38. Vanderplank JE, 1963. Plant Diseases: Epidemics and Control. New York, USA: Academic Press.
39. Wurr DCE, Fellows JR, Phelps K, 2002. Crop scheduling and prediction: principles and opportunities with field vegetables. Advances in Agronomy 76, 201-34.
40. Xu XM, 1999a. Modelling and forecasting epidemics of apple powdery mildew (Podosphaera leucotricha). Plant Pathology 48, 462-71.
41. Xu XM, 1999b. Effects of temperature on the latent period of the rose powdery mildew pathogen, Sphaerotheca pannosa. Plant Pathology 48, 662-7.
42. Yin XY, Kropff MJ, McLaren G, Visperas RM, 1995. A nonlinear model for crop development as a function of temperature. Agricultural and Forest Meteorology 77, 1-16.