2003
DOI: 10.1094/phyto.2003.93.10.1247
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Modeling the Survival of Two Soilborne Pathogens Under Dry Structural Solarization

Abstract: Structural (space) solarization of a closed, empty greenhouse for sanitation involves dry heating to 60 degrees C and higher and low relative humidity (RH), under a fluctuating temperature and RH regime. Survival of inocula of Fusarium oxysporum f. sp. radicis-lycopersici and Sclerotium rolfsii during structural solarization was studied for 4 years (total of 12 experiments) in an attempt to develop a dynamic model for expressing the thermal inactivation of the pathogens. After 20 days of exposure, the populati… Show more

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Cited by 44 publications
(37 citation statements)
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“…Soil temperature increase caused by solarization must be sufficiently high and prolonged to cause irreversible damage to most soil-borne pathogens (Nico et al, 2003). Therefore, this technique is particularly suitable for the Mediterranean climate, where the occurrence of high summer temperatures can ensure an effective control of fungi, nematodes and weeds (Shlevin et al, 2003;Oka et al, 2007;Roe et al, 2004).…”
Section: Introductionmentioning
confidence: 99%
“…Soil temperature increase caused by solarization must be sufficiently high and prolonged to cause irreversible damage to most soil-borne pathogens (Nico et al, 2003). Therefore, this technique is particularly suitable for the Mediterranean climate, where the occurrence of high summer temperatures can ensure an effective control of fungi, nematodes and weeds (Shlevin et al, 2003;Oka et al, 2007;Roe et al, 2004).…”
Section: Introductionmentioning
confidence: 99%
“…A logarithmic relationship was indeed found between time and temperature (at constant temperatures) for the thermal inactivation of four soil-borne plant pathogens (Pullman et al, 1981). Studies on thermal inactivation under fl uctuating temperatures, such as those naturally prevailing in the fi eld, are much more complicated to perform, because the partial effects of varying temperatures on pathogens are diffi cult to weigh, and they require numerical integration to account for their complexity (Shlevin et al, 2003). There are other approaches to simulating and modelling pathogen control by solarization, for example by plotting the level of mortality versus accumulated hours above a certain temperature, that is the degree-hours (DH) (Chellemi et al, 1994).…”
Section: Modelling Of Soil Solarization and 106 Decision-making Toolsmentioning
confidence: 98%
“…There are other approaches to simulating and modelling pathogen control by solarization, for example by plotting the level of mortality versus accumulated hours above a certain temperature, that is the degree-hours (DH) (Chellemi et al, 1994). Shlevin et al (2003) developed a model describing the process of pathogen control with time under structural (dry) solarization. In an other study on modelling regular (wet) SH, the common DH approach for predicting the rate of heat inactivation was further improved by giving different weights to the different temperatures, thus refi ning the correlation between temperature data and pathogen survival from R 2 = 0.324 to R 2 = 0.86 (Shlevin et al, 2005).…”
Section: Modelling Of Soil Solarization and 106 Decision-making Toolsmentioning
confidence: 99%
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“…En otros estudios adicionales acerca de lo que ocurre al producirse este fenómeno, diversos autores apoyan la teoría de que tiene lugar cuando no se detectan en el suelo nemátodos ni patógenos superiores, entre los que se encuentran los hongos y las bacterias del suelo (Chen y Katan, 1980;Katan, 1981;Stapleton y DeVay, 1982b;Stapleton y DeVay, 1983 (Shlevin et al, 2003;Shlevin et al, 2004-b;Stapleton, 2000).…”
Section: Alternativas No Químicas: Solarizaciónunclassified