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Sorting of Puccinia recondita:Triticum Infection-Type Data Sets Toward the Gene-for-Gene Model. L. E. Browder, Research plant pathologist, U.S. Department of Agriculture, Science and Education Administration, Agricultural Research, Department of Plant Pathology, Kansas State University, Manhattan 66506; M. G. Eversmeyer, research plant pathologist, U.S. Department of Agriculture, Science and Education Administration, Agricultural Research, Department of Plant Pathology, Kansas State University, Manhattan 66506. Phytopathology 70:666-670. Accepted for publication 12 December 1979. This article is in the public domain and not copyrightable. It may be freely reprinted with customary crediting of the source. The American Phytopathological Society, 1980. DOI: 10.1094/Phyto-70-666.

Infection-type data, derived from inoculating 14 randomly arranged lines of Triticum aestivum with seven randomly arranged cultures of Puccinia recondita, were machine sorted sequentially by first rearranging culture order (data columns) according to ascending values of infection-type codes to each host line (data rows). Host-line order (data rows) was then sequentially rearranged according to descending values of infection-type codes to each culture (data columns). This sorting resulted in a table in which lines and cultures were arranged with a generally increasing number of low infection types from top to bottom and a generally increasing number of high infection types from left to right, as in the theoretical gene-for-gene model. Lines were sorted so that a given line could not have all the genes for low reaction carried by any line listed below it in the table. This procedure has direct application in comparing host lines with unknown reaction genotypes and host lines with known reaction genotypes. Lines with similar reaction genotypes occur together and cultures with similar pathogenicity genotypes occur together within the sorted table. The data were retained in the original form so that visual analysis of the data set could easily be made. The data were arranged so that low infection types produced by different corresponding gene pairs occurred diagonally left to right and top to bottom within the table.

Additional keywords: leaf rust, genetics, wheat, disease resistance, host:parasite relationships.