Predict Rice Tungro Disease Incidence
predict_tungro.RdA dynamic mechanistic simulation of tungro disease of rice, causal agents
Rice Tungro Spherical Virus and Rice Tungro Bacilliform Virus.
The model is driven by daily weather data, which can easily be accessed using
get_wth() to download weather data from NASA POWER using
nasapower.
Arguments
- wth
Weather data with a daily time-step, normally NASA POWER data from
get_wth(), but anybase::data.frame()object that has the following properly named columns in them will work.Field Name Value YYYYMMDD Date as Year Month Day (ISO8601) DOY Consecutive day of year, commonly called "Julian date" TEMP Mean daily temperature (°C) RHUM Mean daily relative humidity (%) RAIN Mean daily rainfall (mm) LAT Optional latitude of weather observation. See LAT/LON Note. LON Optional longitude of weather observation. See LAT/LON Note. - emergence
Expected date of crop emergence
Value
A data.table::data.table() of disease intensity and infection
sites. See SEIR() for a full description of the column values.
Details
The model represents site size as 1 rice plant.
Default values for this disease model are derived from Table 2 (Savary et al. 2012).
Note
Adapted from cropsim package version 0.2.0-5 by Adam H. Sparks, Department of Primary Industries and Regional Development, WA, AU. Original model development: Serge Savary & Rene Pangga (IRRI). Original R implementation by Robert J. Hijmans, Rene Pangga, & Jorrel Aunario (IRRI).
If the wth object provides LAT and LON columns, these will be included
in the output for mapping purposes. Both values must be present. These
columns are provided by default when using get_wth().
References
Ling, K.C., and Tiongco, E.R., 1976. Effect of temperature on the transmission of rice tungro virus by Nephotettix virescens. Philippine Phytopathology 11:46-57.
Ling, K.C., Palomar, M.K., 1966. Studies on rice plants infected with the tungro virus at different ages. Philippines Agriculturist 50:165-177.
Rivera, C.T. and Ou, S.H., 1965. Leafhopper transmission of tungro disease of rice. Plant Disease Reporter 49:127-131.
Savary, S., Nelson, A., Willocquet, L., Pangga, I., and Aunario, J. Modeling and mapping potential epidemics of rice diseases globally. Crop Protection, Volume 34, 2012, Pages 6-17, ISSN 0261-2194 DOI: doi:10.1016/j.cropro.2011.11.009 .
Tiongco, E.R., Cabunagan, R.C., Flores, Z.M., Hibino, H., and Koganezawa, H., 1993. Serological monitoring of rice tungro disease development in the field: its implication in disease management. Plant Disease 77:877-882. DOI: doi:10.1094/PD-77-0877 .
See also
Other predict functions:
predict_bacterial_blight(),
predict_brown_spot(),
predict_leaf_blast(),
predict_sheath_blight()
