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Canadian Journal of Plant Pathology Volume 22, 2000 - Issue 1
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EPIDEMIOLOGY

Quantification of common root rot symptoms in resistant and susceptible barley by image analysis

E.G. Kokko Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB, TIJ 4BI, Canada
,
R.L. Conner Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB, TIJ 4BI, Canada
,
B. Lee Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB, TIJ 4BI, Canada
,
A.D. Kuzyk Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB, TIJ 4BI, Canada
&
G.C. Kozu Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB, TIJ 4BI, Canada
Pages 38-43 | Published online: 21 Dec 2009

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C.H. Bock, G.H. Poole, P.E. Parker & T.R. Gottwald. (2010) Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging. Critical Reviews in Plant Sciences 29:2, pages 59-107.
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Articles from other publishers (8)

. (2022) Cochliobolus sativus (root and foot rot). CABI Compendium CABI Compendium.
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Chitrabhanu S. Bhunjun, Alan J. L. Phillips, Ruvishika S. Jayawardena, Itthayakorn Promputtha & Kevin D. Hyde. (2021) Importance of Molecular Data to Identify Fungal Plant Pathogens and Guidelines for Pathogenicity Testing Based on Koch’s Postulates. Pathogens 10:9, pages 1096.
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Clive H. Bock, Jayme G. A. Barbedo, Emerson M. Del Ponte, David Bohnenkamp & Anne-Katrin Mahlein. (2020) From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy. Phytopathology Research 2:1.
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Ethan L. StewartChristina H. HagertyAlexey MikaberidzeChristopher C. MundtZiming ZhongBruce A. McDonald. (2016) An Improved Method for Measuring Quantitative Resistance to the Wheat Pathogen Zymoseptoria tritici Using High-Throughput Automated Image Analysis . Phytopathology® 106:7, pages 782-788.
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Bo Li, Michelle T. Hulin, Philip Brain, John W. Mansfield, Robert W. Jackson & Richard J. Harrison. (2015) Rapid, automated detection of stem canker symptoms in woody perennials using artificial neural network analysis. Plant Methods 11:1.
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Ethan L. Stewart & Bruce A. McDonald. (2014) Measuring Quantitative Virulence in the Wheat Pathogen Zymoseptoria tritici Using High-Throughput Automated Image Analysis . Phytopathology® 104:9, pages 985-992.
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João Leodato Nunes Maciel, Alfredo do Nascimento Junior & Cristina Boaretto. (2013) Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis. International Journal of Agronomy 2013, pages 1-8.
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Weilong Xie, Kangfu Yu, K. Peter Pauls & Alireza Navabi. (2012) Application of Image Analysis in Studies of Quantitative Disease Resistance, Exemplified Using Common Bacterial Blight–Common Bean Pathosystem. Phytopathology® 102:4, pages 434-442.
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