Literature DB >> 20238265

Quantification of fungal infection of leaves with digital images and Scion Image software.

Paul H Goodwin1, Tom Hsiang.   

Abstract

Digital image analysis has been used to distinguish and quantify leaf color changes arising from a variety of factors. Its use to assess the percentage of leaf area with color differences caused by plant disease symptoms, such as necrosis, chlorosis, or sporulation, can provide a rigorous and quantitative means of assessing disease severity. A method is described for measuring symptoms of different fungal foliar infections that involves capturing the image with a standard flatbed scanner or digital camera followed by quantifying the area, where the color has been affected because of fungal infection. The method uses the freely available program, Scion Image for Windows or MAC, which is derived from the public domain software, NIH Image. The method has thus far been used to quantify the percentage of tissue with necrosis, chlorosis, or sporulation on leaves of variety of plants with several different diseases (anthracnose, apple scab, powdery mildew or rust).

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Mesh:

Year:  2010        PMID: 20238265     DOI: 10.1007/978-1-60761-611-5_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light.

Authors:  Tomoko M Matsunaga; Daisuke Ogawa; Fumio Taguchi-Shiobara; Masao Ishimoto; Sachihiro Matsunaga; Yoshiki Habu
Journal:  Breed Sci       Date:  2017-05-30       Impact factor: 2.086

2.  Thinopyrum intermedium TiAP1 interacts with a chitin deacetylase from Blumeria graminis f. sp. tritici and increases the resistance to Bgt in wheat.

Authors:  Yanlin Yang; Pan Fan; Jingxia Liu; Wenjun Xie; Na Liu; Zubiao Niu; Quanquan Li; Jing Song; Qiuju Tian; Yinguang Bao; Honggang Wang; Deshun Feng
Journal:  Plant Biotechnol J       Date:  2021-10-21       Impact factor: 9.803

Review 3.  Digital image processing techniques for detecting, quantifying and classifying plant diseases.

Authors:  Jayme Garcia Arnal Barbedo
Journal:  Springerplus       Date:  2013-12-07

4.  Priming maize resistance by its neighbors: activating 1,4-benzoxazine-3-ones synthesis and defense gene expression to alleviate leaf disease.

Authors:  Xupo Ding; Min Yang; Huichuan Huang; Youcong Chuan; Xiahong He; Chengyun Li; Youyong Zhu; Shusheng Zhu
Journal:  Front Plant Sci       Date:  2015-10-12       Impact factor: 5.753

  4 in total

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