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Ranking Block Mixture Patterns of Differing Host Genotype Unit Area by the Use of Long‐Term Rates of Disease Increase
Author(s) -
Goleniewski G.
Publication year - 1995
Publication title -
journal of phytopathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 60
eISSN - 1439-0434
pISSN - 0931-1785
DOI - 10.1111/j.1439-0434.1995.tb00251.x
Subject(s) - biology , host (biology) , genotype , ranking (information retrieval) , statistics , rank (graph theory) , block (permutation group theory) , biological system , mathematics , genetics , combinatorics , gene , computer science , artificial intelligence
A spatial component is added to a model for the spread of a disease composed of m pathotypes in an n cultivar mixture and is employed to simulate disease progress in a series of fixed block mixture geometries of varying host genotype unit area. The spatial model contains only one pathotype for simplicity. It is demonstrated numerically that it possesses a rate of disease increase p in common with spore pool mixture models which do not posses explicit spatial structure. This parameter is used to rank block mixture patterns of differing host genotype unit area. The variation in rate of disease increase with autodeposition is shown graphically for the chosen set of block geometries.