Comparison of methods to assess severity of common rust caused by Puccinia sorghi in maize
Disease severity evaluation is an important decision support for adoption of strategies and tactics for disease control. The most commonly used method to assess disease severity is visual, but the problem is repeatability, due to subjectivity and imprecision of estimates. For Puccinia sorghi, a thre...
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| Lenguaje: | Inglés |
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| Acceso en línea: | http://ri.agro.uba.ar/files/download/articulo/2011Bade.pdf LINK AL EDITOR |
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| 100 | 1 | |a Bade, Cecilia Inés A. |9 30741 | |
| 245 | 0 | 0 | |a Comparison of methods to assess severity of common rust caused by Puccinia sorghi in maize |
| 520 | |a Disease severity evaluation is an important decision support for adoption of strategies and tactics for disease control. The most commonly used method to assess disease severity is visual, but the problem is repeatability, due to subjectivity and imprecision of estimates. For Puccinia sorghi, a threshold of action of 1 percent severity was determined, so high precision is required in disease quantification. The aim of this study was to compare different assessment methods and analyze their association. Two diagrammatic scales were used to estimate severity, the Peterson and Amorim scales. Pustules were counted with the naked eye and with a 20x magnification hand lens. Software for disease quantification, Assess 2.0, was used to determine actual percentage area and lesion count. No significant differences were found between naked-eyed count and with magnifier. Lesion count with Assess 2.0 gave an imprecise result. Significant differences were found between diagrammatic scales. Compared with Assess 2.0, severity using Peterson was 2 percent higher, showing widely scattered differences [R 2=0.48]. Overestimation with visual scales was suggested, especially at low severity levels. Counting pustules was more objective, precise and reproducible. Thus, a calibration curve was constructed [R 2=0.79], which will allow calculation of severity from counting pustules. | ||
| 653 | 0 | |a DISEASE ASSESSMENT METHODS | |
| 653 | 0 | |a PHYTOPATHOMETRY | |
| 653 | 0 | |a ZEA MAYS | |
| 700 | 1 | |9 3109 |a Carmona, Marcelo Aníbal | |
| 773 | |t Tropical Plant Pathology |g Vol. 36, no.4 (2011), p.264-266 | ||
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| 900 | |a ^tComparison of methods to assess severity of common rust caused by Puccinia sorghi in maize | ||
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| 900 | |a ^aBade^bC. I. A. | ||
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| 900 | |a ^aBade^bC.I.A.^tFaculty of Agronomy, University of Buenos Aires, Buenos Aires, Argentina | ||
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| 900 | |a Vol. 36, no. 4 | ||
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| 900 | |a DISEASE ASSESSMENT METHODS | ||
| 900 | |a PHYTOPATHOMETRY | ||
| 900 | |a ZEA MAYS | ||
| 900 | |a Disease severity evaluation is an important decision support for adoption of strategies and tactics for disease control. The most commonly used method to assess disease severity is visual, but the problem is repeatability, due to subjectivity and imprecision of estimates. For Puccinia sorghi, a threshold of action of 1 percent severity was determined, so high precision is required in disease quantification. The aim of this study was to compare different assessment methods and analyze their association. Two diagrammatic scales were used to estimate severity, the Peterson and Amorim scales. Pustules were counted with the naked eye and with a 20x magnification hand lens. Software for disease quantification, Assess 2.0, was used to determine actual percentage area and lesion count. No significant differences were found between naked-eyed count and with magnifier. Lesion count with Assess 2.0 gave an imprecise result. Significant differences were found between diagrammatic scales. Compared with Assess 2.0, severity using Peterson was 2 percent higher, showing widely scattered differences [R 2=0.48]. Overestimation with visual scales was suggested, especially at low severity levels. Counting pustules was more objective, precise and reproducible. Thus, a calibration curve was constructed [R 2=0.79], which will allow calculation of severity from counting pustules. | ||
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