Comparison of monitoring- and weather-based risk indicators of botrytis leaf blight of onion and determination of action thresholds

Canadian Journal of Plant Pathology

Volumn 30, Issue 3, 2008, Pages 442-456

  Carisse, Odile ^a   McRoberts, Neil ^b   Brodeur, Luc ^c  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^b SCOTTISH AGRICULTURAL COLLEGE   (United Kingdom)

^c Prisme Consortium   (Canada)

Author keywords

Disease management; Epidemiology; Forecasting systems; Risk management

Indexed keywords

ALLIUM CEPA; BOTRYOTINIA SQUAMOSA; BOTRYTIS;

EID: 70449605548     PISSN: 07060661     EISSN: None     Source Type: Journal    
DOI: 10.1080/07060660809507542     Document Type: Article

References (40)

1. Alderman, S.C., and Lacy, M.L. 1983. Influence of dew period and temperature on infection of onion leaves by dry conidia of Botrytis squamosa. Phytopathology, 73: 1020-1023.
2. Alderman, S.C., Biernbaum, J.A., Hoffhines, M., Timberlake, D.M., Welch, D.P., Lacy, M. L., and Barr, R.O. 1987. A simulation model of the spread of botrytis leaf blight of onion and its effect on onion yields. Agric. Ecosyst. Environ. 19: 55-70.
3. Anonymous. 1999. Conseil des productions végétales du Québec. Légumes : protection. Ministère de l'Agriculture, des pêcheries et de l'alimentation du Québec. Légumes agdex 250/1605.
4. Baker, R.S., and Wilcox, G.E. 1961. Effect of foliage damage and stand reduction on onion yield. Journal Paper No. 1733. Purdue University Agricultural Experiment Station, Lafayette, Ind.
5. Biggerstaff, B.J. 2000. Comparing diagnostic tests: a simple graphic using likelihood ratios. Stat. Med. 19: 649-663.
6. Boivin, G., and Sauriol, P. 1984. Dispersion statistics and sequential sampling plan for leaf blight caused by Botrytis squamosa in onions. Phytopathology, 74: 1385-1387.
7. Carisse, O., McCartney, H.A., Gagnon, J.A., and Brodeur, L. 2005a. Quantification of airborne inoculum as an aid in the management of botrytis leaf blight of onion caused by Botrytis squamosa. Plant Dis. 89: 726-733.
8. Carisse, O., Rolland, D., and Tremblay, D.M. 2005b. Effect of Microsphaeropsis ochracea on production of sclerotia-borne and airborne conidia of Botrytis squamosa. BioControl, 51: 107-126.
9. Carisse, O., Savary, S., and Willocquet, L. 2007. Spatiotemporal relationships between disease development and airborne inoculum in unmanaged and managed botrytis leaf blight epidemics. Phytopathology, 98: 38-44.
10. Collison, P. 1998. Of bombers, radiologists, and cardiologists: time to ROC. Heart, 80: 215-217.
11. DeLong, E.R., DeLong, D.M., and Clarke-Pearson, D.L. 1988. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics, 44: 837-845.
12. de Visser, C.L.M. 1996. Field evaluation of a supervised control system for botrytis leaf blight in spring sown onions in the Netherlands. Plant Pathol. 102: 795-805.
13. Dewdney, M., Biggs, A.R., and Turechek, W.W. 2007. A statistical comparison of the blossom blight forecasts of MARYBLYT and Cougarblight with receiver operating characteristic curve analysis. Phytopathology, 97: 1164-1176.
14. Ellerbrock, L.A., and Lorbeer, J.W. 1977a. Sources of primary inoculum of Botrytis squamosa. Phytopathology, 67: 363-372.
15. Ellerbrock, L.A., and Lorbeer, J.W. 1977b. Survival of sclerotia and conidia and of Botrytis squamosa. Phytopathology, 67: 219-225.
16. Hanley, J.A., and McNeil, B.J. 1982. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143: 29-36.
17. Hanley, J.A., and McNeil, B.J. 1983. A method of comparing the areas under receiving operating characteristic curves derived from the same cases. Radiology, 148: 839-843.
18. Hilden, J. 1991. The area under the ROC curve and its competitors. Med. Decis. Making, 11: 95-101.
19. Hughes, G., and Madden, L.V. 2003. Evaluating predictive models with application in regulatory policy for invasive weeds. Agric. Syst. 76: 755-774.
20. Hughes, G., McRoberts, N., and Burnett, F.J. 1999. Decisionmaking and diagnosis in disease management. Plant Pathol. 48: 147-153.
21. Lacy, M.L., and Pontius, G.A. 1983. Prediction of weathermediated release of conidia of Botrytis squamosa from onion leaves in the fields. Phytopathology, 73: 670-676.
22. Madden, L.V. 2007. Botanical epidemiology: some key advances and its continuing role in disease management. In Plant disease epidemiology: facing challenges of the 21st century. Edited by S. Savary and B.M Cooke. Springer, Dordrecht, the Netherlands. pp. 3-23.
23. Madden, L.V., Hughes, G., and Van den Bosch, F. 2007. The study of plant disease epidemics. American Phytopathological Society Press, St. Paul, Minn. pp 343-344.
24. Makowski, D., Taverne, M., Bolomier, J., and Ducarne, M. 2005. Comparison of risk indicators for sclerotinia control in oilseed rape. Crop Prot. 24: 527-531.
25. Metz, C. 1978. Basic principles of ROC analysis. Semin. Nucl. Med. 8: 283-298.
26. Ramsey, G.R., and Lorbeer, J.W. 1986. The role of temperature and moisture in onion flower blight. Phytopathology, 76: 612.
27. Shoemaker, P.B., and Lorbeer, J.W. 1977. Timing initial fungicide application to control botrytis leaf blight epidemics on onions. Phytopathology, 67: 409-414.
28. Sutton, J.C. 1990. Epidemiology and management of botrytis leaf blight of onion and gray mold of strawberry: a comparative analysis. Plant Pathol. 12: 100-110.
29. Sutton, J.C., Swanton, C.J., and Gillespie, T.J. 1978. Relation of weather variables and host factors to incidence of airborne spores of Botrytis squamosa. Can. J. Bot. 56: 2460-2469.
30. Sutton, J.C., James, T.D.W., and Rowell, P.M. 1983. Relation of weather and host factors to an epidemic of botrytis leaf blight in onions. Can. J. Plant Pathol. 5: 256-265.
31. Sutton, J.C., James, T.D.W., and Rowell, P.M. 1986. BOTCAST: a forecasting system to time the initial fungicide sprays for managing botrytis leaf blight of onions. Agric. Ecosyst. Environ. 18: 123-143.
32. Thiel, H. 1967. Economics and information theory. University of Chicago Press, Chicago, Ill.
33. Turechek, W.W., and Wilcox, W.F. 2005. Evaluating predictors of apple scab with receiver operating characteristic curve analysis. Phytopathology, 95: 679-691.
34. Twengstrom, E., Sigvald, R., Svensson, C., and Yuen, J. 1998. Forecasting sclerotinia stem rot in spring sown oilseed rape. Crop Prot. 17: 405-411.
35. Viennot-Bourgin, G. 1952. Sur la présence en France de Botrytis squamosa, parasite de l'oignon. Revue de pathologie végétale et d'entomologie agricole, 31: 82.
36. Vincelli, P.C., and Lorbeer, J.W. 1987. Sequential sampling plan for timing initial fungicide application to control botrytis leaf blight of onion. Phytopathology, 77: 1301-1303.
37. Vincelli, P.C., and Lorbeer, J.W. 1988a. Forecasting spore episodes of Botrytis squamosa in commercial onions fields in New York. Phytopathology, 78: 966-970.
38. Vincelli, P.C., and Lorbeer, J.W. 1988b. Relationship of precipitation probability to infection potential of Botrytis squamosa on onion. Phytopathology, 78: 1078-1982.
39. Vincelli, P.C., and Lorbeer, J.W. 1989. BLIGHT-ALERT: a weather-based predictive system for timing fungicide applications on onion before infection periods of Botrytis squamosa. Phytopathology, 79: 493-498.
40. Yuen, J., and Hughes, G. 2002. Bayesian analysis of plant disease prediction. Plant Pathol. 51: 407-412.