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Tests of standard diagrams for field use in assessing the tarspot disease complex of maize (Zea mays)

By: Contributor(s): Material type: ArticleArticleLanguage: English Publication details: United Kingdom : Taylor and Francis, 1992.ISSN:
  • 0143-6147
Subject(s): Online resources: In: Tropical Pest Management v. 38, no. 3, p. 314-318624822Summary: Zea mays in Latin America is affected by a disease complex known as tarspot caused by Phyllachora maydis, Monographella maydis and Coniothyrium maydis. Two series of pictorial standard diagrams were developed for field assessment, one for P. maydis and the other for P. maydis + M. maydis. The disease severity depicted on the 72 diagrams was assessed for the number of lesions and the percentage disease severity by 36 volunteers of diverse professional backgrounds without prior experience in assessing crop diseases. The assessment error for the P. maydis diagrams included a 17–38% underestimation of number of lesions and a 184–330% overestimation of disease severity. For the P. maydis × M. maydis diagram, overestimation for the classes with 1.0–4.5% disease severity was relatively high, whereas the error diminished with a higher proportion of larger lesions. In general, regular distribution of disease tends to be overestimated, in this case by 10–71%. The greatest assessment error was, however, related to the inappropriate choice of assessment scale, particularly for lesions smaller than 3.5 mm.
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Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Article CIMMYT Knowledge Center: John Woolston Library CIMMYT Staff Publications Collection CIS-1683 (Browse shelf(Opens below)) 1 Available 624822
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Peer review

AGRIS 95-036716

Zea mays in Latin America is affected by a disease complex known as tarspot caused by Phyllachora maydis, Monographella maydis and Coniothyrium maydis. Two series of pictorial standard diagrams were developed for field assessment, one for P. maydis and the other for P. maydis + M. maydis. The disease severity depicted on the 72 diagrams was assessed for the number of lesions and the percentage disease severity by 36 volunteers of diverse professional backgrounds without prior experience in assessing crop diseases. The assessment error for the P. maydis diagrams included a 17–38% underestimation of number of lesions and a 184–330% overestimation of disease severity. For the P. maydis × M. maydis diagram, overestimation for the classes with 1.0–4.5% disease severity was relatively high, whereas the error diminished with a higher proportion of larger lesions. In general, regular distribution of disease tends to be overestimated, in this case by 10–71%. The greatest assessment error was, however, related to the inappropriate choice of assessment scale, particularly for lesions smaller than 3.5 mm.

Text in English

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DE-JLU 1989 HOCK D r

CIMMYT Staff Publications Collection

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