Development of weather-based predictive models for Fusarium head blight and deoxynivalenol accumulation for spring malting barley

Plant Disease

Volumn 96, Issue 5, 2012, Pages 673-680

  Bondalapati, K D ^a   Stein, J M ^a   Neate, S M ^b   Halley, S H ^b   Osborne, L E ^a   Hollingsworth, C R ^c  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b NORTH DAKOTA STATE UNIVERSITY   (United States)

^c University of Minnesota Research and Outreach Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUSARIUM; GIBBERELLA; GIBBERELLA ZEAE; HORDEUM; HORDEUM VULGARE;

EID: 84861615611     PISSN: 01912917     EISSN: None     Source Type: Journal    
DOI: 10.1094/PDIS-05-11-0389     Document Type: Article

References (43)

1. Andersen, A. L. 1948. The development of Gibberella zeae head blight of wheat. Phytopathology 38:595-611.
2. Anonymous. 2011. Know your malting barley varieties. ambainc.org/media/AMBA_PDFs/Pubs/2011_KYMBV.pdf. American Malting Barley Association Inc. Last accessed: September 15, 2011.
3. Arauz, L. F., Neufeld, K. N., Lloyd, A. L., and Ojiambo, P. S. 2010.Quantitative models for germination and infection of Pseudoperonospora cubensis in response to temperature and duration of leaf wetness. Phytopathology 100:959-967.
4. Choo, T. M., Martin, R. A., Ho, K. M., Shen, Q., Fedak, G., Savard, M., Voldeng, H., Falk, D. E., Etienne, M., and Sparry, E. 2004. Fusarium headblight and deoxynivalenol accumulation of barley in Eastern Canada: Cultivar response and correlation analysis. Plant Dis. 88:837-844.
5. Cowger, C., Patton-Ozkurt, J., Brown-Guedira, G., and Perugini, L. 2009. Post-anthesis moisture increased Fusarium head blight and deoxynivalenol levels in North Carolina winter wheat. Phytopathology 99:320-327.
6. Culler, M. D., Miller-Garvin, J. E., and Dill-Macky, R. 2007. Effect ofextended irrigation and host resistance on deoxynivalenol accumulation in Fusarium-infected wheat. Plant Dis. 91:1464-1472.
7. De Wolf, E., Molineros, J., Madden, L., Lipps, P., Knight, P., and Miller, D. 2005. Future directions in the development and application of riskassessment models for Furarium head blight. Page 117 in: Proc. 2005 Natl. Fusarium Head Blight Forum, Milwaukee, WI.
8. De Wolf, E. D., and Isard, S. A. 2007. Disease cycle approach to plant disease prediction. Annu. Rev. Phytopathol. 45:203-220.
9. De Wolf, E. D., Madden, L. V., and Lipps, P. E. 2003. Risk assessment models for wheat Fusarium head blight epidemics based on within-season weather data. Phytopathology 93:428-435.
10. Detrixhe, P., Chandelier, A., Cavelier, M., Buffet, M., and Oger, R. 2003. Development of an agrometeorological model integrating leaf wetnessduration estimation to assess the risk of head blight infection in wheat. Asp. Appl. Biol. 68:199-204.
11. Dill-Macky, R., and Jones, R. K. 2000. The effect of previous crop residues and tillage on Fusarium head blight of wheat. Plant Dis. 84:71-76.
12. Duthie, J. A. 1997. Models of the response of foliar parasites to the combined effects of temperature and duration of wetness. Phytopathology 87:1088-1095.
13. Fabre, F., Dedryver, C. A., Leterrier, J. L., and Plantegenest, M. 2003. Aphid abundance on cereals in autumn predicts yield losses caused by Barley yellow dwarf virus. Phytopathology 93:1217-1222.
14. Faraway, J. J. 2005. Linear models with R. Chapman & Hall/CRC, Boca Raton, FL.
15. Garbe, L.-A., Schwarz, P., and Ehmer, A. 2009. Beer gushing. Pages 185-212 in: Beer: A Qualitative Perspective. C. W. Bamforth, ed. Academic Press, New York.
16. Gjertsen, P. 1967. Gusing in beer; its nature, cause and prevention. Brew. Digest 42:80-84.
17. Gleason, M. L., Taylor, S. E., Loughin, T. M., and Koehler, K. J. 1994. Development and validation of an empirical model to estimate the duration of dew periods. Plant Dis. 78:1011-1016.
18. Harrell, F. E., Jr. 2001. Regression Modeling Strategies. Springer, NewYork.
19. Hooker, D. C., Schaafsma, A. W., and Tamburic-Ilincic, L. 2002. Using weather variables pre- and post-heading to predict deoxynivalenol contentin winter wheat. Plant Dis. 86:611-619.
20. Klem, K., Vanova, M., Hajslova, J., Lancova, K., and Sehnalova, M. 2007. A neural network model for prediction of deoxynivalenol content in wheat grain based on weather data and preceding crop. Plant Soil Environ. 53:421-429.
21. Madden, L. V. 2006. Botanical epidemiology: Some key advances and its continuing role in disease management. Eur. J. Plant Pathol. 11:3-23.
22. Markell, S. G., and Francl, L. J. 2003. Fusarium head blight inoculum: Species prevalence and Gibberella zeae spore type. Plant Dis. 87:814-820.
23. McRoberts, N., Hall, C., Madden, L. V., and Hughes, G. 2011. Perception of disease risk: From social construction of subjective judgments to rational decision making. Phytopathology 101:654-665.
24. Metz, C. E. 1978. Basic principles of ROC analysis. Nucl. Med. 8:283-298.
25. Mihuta-Grimm, L., and Foster, R. L. 1989. Scab on wheat and barley in Southern Idaho. Plant Dis. 73:769-771.
26. Moschini, R. C., and Fortugno, C. 1996. Predicting wheat head blight incidence using models based on meteorological factors in Pergamino,Argentina. Eur. J. Plant Pathol. 102:211-218.
27. Osborne, L. E., and Stein, J. M. 2007. Epidemiology of Fusarium head blight on small-grain cereals. Int. J. Food Microbiol. 119:103-108.
28. Paul, P. A., Lipps, P. E., and Madden, L. V. 2006. Meta-analysis of regression coefficients for the relationship between Fusarium head blight and deoxynivalenol content of wheat. Phytopathology 96:951-961.
29. Pfender, W. F. 2003. Prediction of stem rust infection favorability, by means of degree-hour wetness duration, for perennial ryegrass seed crops. Phytopathology 93:467-477.
30. R Development Core Team. 2009. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna.
31. Rao, P. S., Gillespie, T. J., and Schaafsma, A. W. 1998. Estimating wetness duration on maize ears from meteorological observations. Can. J. Soil Sci. 78:149-154.
32. Rossi, V., Giosue, S., Pattori, E., Spanna, F., and Del Vecchio, A. 2003. A model estimating the risk of Fusarium head blight on wheat. OEPP/EPPO Bull. 33:421-425.
33. Salas, B., Steffenson, B. J., Casper, H. H., Tacke, B., Prom, L. K., Fetch, T. G., Jr., and Schwarz, P. B. 1999. Fusarium species pathogenic to barley and their associate mycotoxins. Plant Dis. 83:667-674.
34. Sarlin, T., Laitila, A., Pekkarinen, A., and Haikara, A. 2005. Effects of three Fusarium species on the quality of barley and malt. J. Am. Soc. Brew. Chem. 63:43-49.
35. Schmale, D. G., Leslie, J. F., Zeller, K. A., Saleh, A. A., Shields, E. J., and Bergstrom, G. C. 2006. Genetic structure of atmospheric populations of Gibberella zeae. Phytopathology 96:1021-1026.
36. Stein, J. M., Osborne, L. E., Bondalapati, K. D., Glover, K. D., and Nelson, C. A. 2009. Fusarium head blight severity and deoxynivalenol concentration in wheat in response to Gibberella zeae inoculum concentration. Phytopathology 99:759-764.
37. Sutton, J. C., Gillespie, T. J., and Hilderbrand, P. D. 1984. Monitoring weather factors in relation to plant disease. Plant Dis. 68:78-84.
38. van der Fels Klerx, H. J., Burgers, S. L. G. E., and Booij, C. J. H. 2010.Descriptive modelling to predict deoxynivalenol in winter wheat in the Netherlands. Food Addit. Contam. A. 27:636-643.
39. Vanova, M., Klem, K., Matusinsky, P., and Trnka, M. 2009. Prediction model for deoxynivalenol in wheat grain based on weather conditions. Plant Prot. Sci. 45:S33-S37.
40. Vestal, E. F. 1964. Barley scab in South Korea in 1963 and 1964. Plant Dis. Rep. 48:754-755.
41. Yoshida, M., Nakajima, T., Arai, M., Suzuki, F., and Tomimura, K. 2008. Effect of the timing of fungicide application on Fusarium head blight and mycotoxin accumulation in closed-flowering barley. Plant Dis. 92:1164-1170.
42. Youden, W. J. 1950. Index for rating diagnositc tests. Cancer 3:32-25.
43. Zadoks, J. C., Chang, T. T., and Konzak, C. F. 1974. A decimal code for the growth stages of cereals. Weed Res. 14:415-421.