Epidemiology and Management of Root Diseases by C. Lee Campbell BS, MS, PhD, D. Michael Benson BS, MS, PhD

By C. Lee Campbell BS, MS, PhD, D. Michael Benson BS, MS, PhD (auth.)

Root disorder epidemics, simply because a lot of the task occurs in soil and out of sight, pose specified demanding situations to growers who search to control them and to scientists who examine them. All appropriate subject matters of root illness epidemics and their administration are offered: The serious facets of particular illness parts together with inoculum, host roots, mycorrhiza and the soil setting are explored. demanding situations of illness evaluate and the temporal and spatial features of epidemic improvement are thought of, and methods to root affliction administration together with host resistance, chemical, organic and cultural administration are mentioned intimately. The publication fulfills the desires of researchers, lecturers, and practitioners of plant pathology.

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Estimates from inoculum density-disease curves for inoculum efficiency in cases where data are combined over fields may be subject to large errors because factors such as soil types, pH, moisture content, etc. , constant) among fields. Given these constraints, however, it appears that microsclerotial inoculum of V. dahliae is much more efficient on tomato, as Grogan et al. 5 microsclerotia/g soil per infection), one of the highest found in the data examined, when data from five fields in California were combined.

Plotting the data of Ashworth et al. 2 microsclerotia/g soil per infection). Estimates from inoculum density-disease curves for inoculum efficiency in cases where data are combined over fields may be subject to large errors because factors such as soil types, pH, moisture content, etc. , constant) among fields. Given these constraints, however, it appears that microsclerotial inoculum of V. dahliae is much more efficient on tomato, as Grogan et al. 5 microsclerotia/g soil per infection), one of the highest found in the data examined, when data from five fields in California were combined.

Both the multiple infection transformation (Gregory 1948) and probit transformation (Dimond and Horsfall 1965) have been proposed for linearizing inoculum density-disease curves. A loglog plot of inoculum density versus disease corrected for multiple infections PLATEAU TRANS IT IONAL SLOPE ~1 SYNERGISTIC SLOPE TRUE LOGAR ITHMIC SCALE ; I NOCULUM DENSITY Fig. 3. Idealized picture of complexities involved in the inoculum density-disease curve. (Reprinted with permission of R. M. 67 for a rhizoplane effect by the models of Baker et al.

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