Abstract
A computer simulator of groundnut rust (Puccinia arachidis Speg.), CSGR-1, was constructed based on four mathematical submodels describing environmental effects on (1) the increase rate of disease severity and daily multiplication factor of diseased leaflets, (2) the relationship between host growth and the effective accumulated temperatures, and (3) the relationships between infectious tissue and disease severity. The simulator was validated using independent data sets. With CSGR-1, disease development of groundnut rust can be predicted eleven days in advance given appropriate climatic data.
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Keywords: Puccinia arachidis Speg, Arachis hypogaea L. peanut, epidemiology, computer simulation
How to Cite:
Wang, Z. & Lin, K., (1989) “CSGR-1: A Computer Simulator of Groundnut Rust¹”, Peanut Science 16(2), p.73-76. doi: https://doi.org/10.3146/i0095-3679-16-2-4