Relationship between precipitations registered in reproductive stages of soybean and severity of Septoria glycines and Cercospora kikuchii
From 2003 to 2008, late season disease severity [LSDsev] values [Brown spot and Cercospora leaf blight] were recorded at the R7 growth stage at several sites in Santa Fe and Córdoba Provinces. The annual LSDsev records [N=15] were grouped into two epidemic categories based on a threshold value [medi...
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| Formato: | Artículo |
| Lenguaje: | Español |
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| Acceso en línea: | http://ri.agro.uba.ar/files/download/articulo/2010Carmona.pdf LINK AL EDITOR |
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| 245 | 1 | 0 | |a Relationship between precipitations registered in reproductive stages of soybean and severity of Septoria glycines and Cercospora kikuchii |
| 246 | 1 | 0 | |a Relación entre la precipitación registrada en estados reproductivos de la soja y la severidad de Septoria glycines y Cercospora kikuchii |
| 520 | |a From 2003 to 2008, late season disease severity [LSDsev] values [Brown spot and Cercospora leaf blight] were recorded at the R7 growth stage at several sites in Santa Fe and Córdoba Provinces. The annual LSDsev records [N=15] were grouped into two epidemic categories based on a threshold value [median of observed disease data]: severe [LSDsev less than 36 percent] and moderate to light [LSDsev more or equal to 36 percent]. Variations in epidemic levels were studied in relation to precipitation-based variables, processed in a time window limited by R3 and R5 growth stages. The variables were expressed as frequency [days] and total accumulation [mm] of daily precipitations greater than the thresholds 1, 5, 7 and 10 mm. The variables PrF7 [number of days with precipitations less than 7 mm] and AcPr7 [total accumulation of daily precipitations less than 7 mm] and the interaction [product] between them [It7] were the most strongly correlated, according to Kendall tau-b coefficients [rK=0.74, 0.60 and 0.71 respectively].Logistic regression model including AcPr7 correctly estimated the probability of occurrence of epidemic categories in 12 cases [out of 15]. Logistic models integrating PrF7 or the interaction effect [It7] presented prediction accuracies of 93.3 percent. These results could be useful for prediction and chemical control of LSD. | ||
| 653 | 0 | |a GLYCINE MAX | |
| 653 | 0 | |a LATE SEASON DISEASES | |
| 653 | 0 | |a LOGISTIC MODELS | |
| 653 | 0 | |a CERCOSPORA | |
| 653 | 0 | |a CERCOSPORA KIKUCHII | |
| 653 | 0 | |a PUNCTUM BLANDIANUM | |
| 653 | 0 | |a SEPTORIA GLYCINES | |
| 700 | 1 | |9 3109 |a Carmona, Marcelo Aníbal | |
| 700 | 1 | |9 25442 |a Moschini, Ricardo | |
| 700 | 1 | |a Cazenave, Georgina |9 41473 | |
| 700 | 1 | |9 22833 |a Sautua, Francisco José | |
| 773 | |t Tropical Plant Pathology |g Vol.35, no.2 (2010), p.71-78 | ||
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| 900 | |a ^tRelación entre la precipitación registrada en estados reproductivos de la soja y la severidad de Septoria glycines y Cercospora kikuchii | ||
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| 900 | |a ^aCarmona^bM.^tCátedra de FitopatologÃa, Facultad de AgronomÃa, Universidad de Buenos Aires, C1417DSE, Buenos Aires, Argentina | ||
| 900 | |a ^aMoschini^bR.^tInstituto Nacional de TecnologÃa Agropecuaria - INTA, Instituto de Clima y Agua, Las Cabaña y Los Reseros, CC 25 [1712], Castelar, Argentina | ||
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| 900 | |a GLYCINE MAX | ||
| 900 | |a LATE SEASON DISEASES | ||
| 900 | |a LOGISTIC MODELS | ||
| 900 | |a CERCOSPORA | ||
| 900 | |a CERCOSPORA KIKUCHII | ||
| 900 | |a PUNCTUM BLANDIANUM | ||
| 900 | |a SEPTORIA GLYCINES | ||
| 900 | |a From 2003 to 2008, late season disease severity [LSDsev] values [Brown spot and Cercospora leaf blight] were recorded at the R7 growth stage at several sites in Santa Fe and Córdoba Provinces. The annual LSDsev records [N=15] were grouped into two epidemic categories based on a threshold value [median of observed disease data]: severe [LSDsev less than 36 percent] and moderate to light [LSDsev more or equal to 36 percent]. Variations in epidemic levels were studied in relation to precipitation-based variables, processed in a time window limited by R3 and R5 growth stages. The variables were expressed as frequency [days] and total accumulation [mm] of daily precipitations greater than the thresholds 1, 5, 7 and 10 mm. The variables PrF7 [number of days with precipitations less than 7 mm] and AcPr7 [total accumulation of daily precipitations less than 7 mm] and the interaction [product] between them [It7] were the most strongly correlated, according to Kendall tau-b coefficients [rK=0.74, 0.60 and 0.71 respectively].Logistic regression model including AcPr7 correctly estimated the probability of occurrence of epidemic categories in 12 cases [out of 15]. Logistic models integrating PrF7 or the interaction effect [It7] presented prediction accuracies of 93.3 percent. These results could be useful for prediction and chemical control of LSD. | ||
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