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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/02/2014 |
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Actualizado : |
29/01/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
DIAZ-LAGO, J.E.; STUTHMAN, D.D.; LEONARD, K.J. |
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Afiliación : |
JUAN ENRIQUE DIAZ LAGO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Agronomy and Plant Genetics.; Department of Plant Pathology, University of Minnesota, St. |
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Título : |
Evaluation of components of partial resistance to oat crown rust using digital image analysis. |
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Fecha de publicación : |
2003 |
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Fuente / Imprenta : |
Plant Disease, 1 June 2003, Volume 87, Issue 6, Pages 667-674. OPEN ACCESS |
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DOI : |
10.1094/PDIS.2003.87.6.667 |
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Idioma : |
Inglés |
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Notas : |
Article history:Accepted for publication 9 January 2003/Published Online:23 Feb 2007. |
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Contenido : |
Digital image analysis is an objective and nondestructive method potentially capable of providing accurate and precise estimates of disease resistance components. This study was conducted to quantify components of partial resistance to crown rust through the analysis of sequential digital images of inoculated leaves of adult oat plants, and to compare components found in two sources of resistance unrelated genetically. Uredinium density, relative infection frequency,
latent period, days to first pustule appearance, uredinium size, and disease progress rates were assessed on three oat lines (RS-line 3W-C2R-9-3b, MN-841801, Starter) in two greenhouse experiments. Resistant lines had fewer and smaller uredinia, and these appeared later than in the
susceptible check. Relative infection frequency, latent period, and uredinium size were equally important components in the expression of the partial resistance to crown rust, and the two sources of resistance could not be differentiated by any of the variables studied. The analysis of
sequential digital images of diseased leaves produced precise estimates of partial resistance
components and disease progress rates. |
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Palabras claves : |
AVENA SATIVA; HOST RESISTANCE; PUCCINIA CORONATA. |
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Thesagro : |
AVENA. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13451/1/pdis.2003.87.6.667.pdf
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Marc : |
LEADER 01920naa a2200217 a 4500
001 1042264
005 2020-01-29
008 2003 bl uuuu u00u1 u #d
024 7 $a10.1094/PDIS.2003.87.6.667$2DOI
100 1 $aDIAZ-LAGO, J.E.
245 $aEvaluation of components of partial resistance to oat crown rust using digital image analysis.$h[electronic resource]
260 $c2003
500 $aArticle history:Accepted for publication 9 January 2003/Published Online:23 Feb 2007.
520 $aDigital image analysis is an objective and nondestructive method potentially capable of providing accurate and precise estimates of disease resistance components. This study was conducted to quantify components of partial resistance to crown rust through the analysis of sequential digital images of inoculated leaves of adult oat plants, and to compare components found in two sources of resistance unrelated genetically. Uredinium density, relative infection frequency, latent period, days to first pustule appearance, uredinium size, and disease progress rates were assessed on three oat lines (RS-line 3W-C2R-9-3b, MN-841801, Starter) in two greenhouse experiments. Resistant lines had fewer and smaller uredinia, and these appeared later than in the susceptible check. Relative infection frequency, latent period, and uredinium size were equally important components in the expression of the partial resistance to crown rust, and the two sources of resistance could not be differentiated by any of the variables studied. The analysis of sequential digital images of diseased leaves produced precise estimates of partial resistance components and disease progress rates.
650 $aAVENA
653 $aAVENA SATIVA
653 $aHOST RESISTANCE
653 $aPUCCINIA CORONATA
700 1 $aSTUTHMAN, D.D.
700 1 $aLEONARD, K.J.
773 $tPlant Disease, 1 June 2003, Volume 87, Issue 6, Pages 667-674. OPEN ACCESS
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INIA La Estanzuela (LE) |
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