Mapping disease risk using a joint probability distribution

Steven E. Hollinger and Leszek Kuchar

Mathematics and Computers in Simulation (MATCOM), 1996, vol. 42, issue 2, 293-298

Abstract: A major determinant of plant disease occurrence is the temperature and relative humidity experienced during the growing season. Historical temperature and relative humidity data may be used to determine the probable risk of specific crop diseases occurring in a particular region or country. These risk probabilities can then be used to select appropriate hybrids, chemical protection, or other agricultural production practices to reduce the impact of disease on economic yield. A method of estimating the risk probabilities for plant diseases is presented with an example of corn (Zea mays L.) diseases in Illinois. The disease risks were determined by the construction of a joint probability distribution from information about the marginal distributions of temperature and relative humidity during different growing season periods. The number of consecutive days with favorable conditions play an important role in disease development and their probabilities were also computed. Spatial distributions of disease risks are shown in maps.

Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:42:y:1996:i:2:p:293-298

DOI: 10.1016/0378-4754(95)00131-X

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