2012
DOI: 10.1111/j.1365-3059.2012.02695.x
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A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight

Abstract: An epidemiology-based strategy using rice sheath blight (ShB) as a biological model was developed that enables identification of sources of resistance. A set of 163 cultivated rice genotypes, including genotypes which had been reported to express partial resistance to ShB, and a few genotypes reported as very susceptible, were assessed using two complementary methods. First, microfield experiments allowed measurement of disease intensification at, and spread from, inoculated sources, along with morphological t… Show more

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Cited by 12 publications
(11 citation statements)
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References 33 publications
(54 reference statements)
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“…cau-4AL , one QTL for the stem-leaf angle (Ag) was located in the interval between wmc718 and barc78 with the mean of the five replicates (Fig 3). It has been reported that leaf angle has some effect on sheath blight intensity [9]. Stem-leaf angle has an effect on tissue contact and canopy conditions, including light transmittance, aeration, and humidity among plants.…”
Section: Discussionmentioning
confidence: 99%
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“…cau-4AL , one QTL for the stem-leaf angle (Ag) was located in the interval between wmc718 and barc78 with the mean of the five replicates (Fig 3). It has been reported that leaf angle has some effect on sheath blight intensity [9]. Stem-leaf angle has an effect on tissue contact and canopy conditions, including light transmittance, aeration, and humidity among plants.…”
Section: Discussionmentioning
confidence: 99%
“…Srinivasachary et al showed that disease escape represents an important group of disease resistances [9]. Disease escape resistance works by modulating plant canopy morphological traits to lessen disease expansion, avoids the rapid generation of new virulent races by releasing the stress of plant-pathogen physiological interactions and shows more sustainable resistance.…”
Section: Introductionmentioning
confidence: 99%
“…The identification of predictors for resistance involved analyses conducted in two broad steps: process‐oriented experiments, and epidemic‐oriented experiments. This stepwise use of complementary process‐ and epidemic‐oriented analyses follows earlier analyses (Savary & Zadoks, ; Willocquet et al ., ; Srinivasachary et al ., ), but is different from many studies aiming at identifying predictors for field resistance, which rely mainly on the computation of correlation coefficients between predictors and measured field disease variables (e.g. Herrera‐Foessel et al ., ).…”
Section: Discussionmentioning
confidence: 99%
“…Disease escape, or disease avoidance, can also reduce epidemics, but is unrelated to molecular and biochemical plant-pathogen interactions (Parlevliet, 1979;Srinivasachary et al, 2011). Disease escape can be associated with morphological traits that hamper processes involved in the disease cycle, therefore reducing epidemic severity (Poland et al, 2009;Srinivasachary et al, 2013). These morphological traits can in turn be genetically driven (Poland et al, 2009;Willocquet et al, 2012;Andrivon et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…using microfields; Srinivasachary et al. ) could be used to quantify partial resistance to rice sheath blight.…”
Section: Discussionmentioning
confidence: 99%