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Predicting stripe rust severity on winter wheat using an improved method for analyzing meteorological and rust data

Coakley, S.M.

Predicting stripe rust severity on winter wheat using an improved method for analyzing meteorological and rust data - 1988 - Printed

Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0031-949X

English

ISSN: 0031-949X

Subjects--Topical Terms:
Computer software
Forecasting
Infection
Meteorology
Puccinia
Washington
Triticum aestivum

Dewey Class. No.: 89-047263

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Knowledge Center Catalog

Predicting stripe rust severity on winter wheat using an improved method for analyzing meteorological and rust data

International Maize and Wheat Improvement Center (CIMMYT) © Copyright 2021.
Carretera México-Veracruz. Km. 45, El Batán, Texcoco, México, C.P. 56237.
If you have any question, please contact us at
CIMMYT-Knowledge-Center@cgiar.org

Knowledge Center Catalog

Predicting stripe rust severity on winter wheat using an improved method for analyzing meteorological and rust data

International Maize and Wheat Improvement Center (CIMMYT) © Copyright 2021. Carretera México-Veracruz. Km. 45, El Batán, Texcoco, México, C.P. 56237. If you have any question, please contact us at CIMMYT-Knowledge-Center@cgiar.org

International Maize and Wheat Improvement Center (CIMMYT) © Copyright 2021.
Carretera México-Veracruz. Km. 45, El Batán, Texcoco, México, C.P. 56237.
If you have any question, please contact us at
CIMMYT-Knowledge-Center@cgiar.org