Highlights of Epidemiology of the Fungus Sphaerotheca Pannosa (Wallr.) Lev. Var. Persicae Woron in the Southern Zone of Romania

Toma, S.; Ivaşcu, A.; Oprea, M.

doi:10.17660/actahortic.1998.465.89

Cited by 4 publications

(6 citation statements)

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“…The analysis is not sensitive to the sample size and posterior distributions are expected to concentrate well within the bounded range of proportions. Butt (1978) (Grove 1995;Toma and Ivascu, 1998). However, Pieters et al (1993) concluded that neither the temperature nor the relative humidity influenced the differentiation between the two epidemic phases (primary and secondary infections) that were described for P.…”

Section: Discussionmentioning

confidence: 99%

A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain

et al. 2020

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The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold to initiate a fungicide spray program based on accumulated degree-day (ADD) data. A beta-regression model for disease incidence showed a substantial contribution of the random effects orchard and year, whereas relevant fixed effects corresponded to ADD, wetness duration, and ADD considering vapor pressure deficit and rain. When beta-regression models were fitted for each orchard and year considering only ADD, disease onset was observed at 242 ± 13 ADD and symptoms did not develop further after 484 ± 42 ADD. An operating threshold to initiate fungicide applications was established at 220 ADD, coinciding with a PPM incidence in fruit around 0.05. A validation was further conducted by comparing PPM incidence in i) a standard, calendar-based program, ii) a program with applications initiated at 220 ADD, and iii) a nontreated control. A statistically relevant reduction in disease incidence in fruit was obtained with both fungicide programs, from 0.244 recorded in the control to 0.073 with the 220-ADD alert program, and 0.049 with the standard program. The 220-ADD alert program resulted in 33% reduction in fungicide applications.

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Section: Discussionmentioning

confidence: 99%

A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain

et al. 2020

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“…The fungus overwinters in peach as dormant mycelium in latent buds (Ogawa and English 1991;Toma et al 1998;Weinhold 1961;Yarwood 1957), and the ascocarps (chasmothecia) are usually found in the mycelium infecting twigs and leaves (Butt 1978). Primary PPM infections occur in spring, when primary inoculum is available and favourable weather conditions are met.…”

Section: Introductionmentioning

confidence: 99%

“…Primary PPM infections occur in spring, when primary inoculum is available and favourable weather conditions are met. However, precise experimental data on the environmental conditions needed for primary PPM infections are scarce (Toma et al 1998;Weinhold 1961). Air-dispersed conidia released from primary-established colonies are responsible for secondary infections that extend over the vegetative growing season of peach tree (Grove 1995;Jarvis et al 2002).…”

Section: Introductionmentioning

confidence: 99%

“…Air-dispersed conidia released from primary-established colonies are responsible for secondary infections that extend over the vegetative growing season of peach tree (Grove 1995;Jarvis et al 2002). In general, PPM spreads rapidly in seasons when a relatively cold and humid spring is followed by a dry summer (Toma et al 1998). Previous studies reported on the optimal temperature and relative humidity (about 21 °C and 70-95 % RH, respectively) for pathogen development (Grove 1995;Toma et al 1998).…”

Section: Introductionmentioning

confidence: 99%

“…In general, PPM spreads rapidly in seasons when a relatively cold and humid spring is followed by a dry summer (Toma et al 1998). Previous studies reported on the optimal temperature and relative humidity (about 21 °C and 70-95 % RH, respectively) for pathogen development (Grove 1995;Toma et al 1998). Regarding the infection of P. pannosa on Rosa, Longrée (1939) described similar optimal conditions for P. pannosa infection (21 °C and between 75-99 % RH).…”

Section: Introductionmentioning

confidence: 99%

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A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies

et al. 2020

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A molecular qPCR-based method was developed to detect and quantify Podosphaera pannosa, the main causal agent of peach powdery mildew. A primer pair was designed to target part of the ITS region of the fungal ribosomal DNA, which proved to be highly specific and sensitive. A minimum of 2.81 pg µL -1 of P. pannosa DNA and 6 conidia mL -1 in artificially-prepared conidia suspensions were found to be the limit of detection. Moreover, a quantification of conidia placed on plastic tapes commonly used in volumetric air samplers was performed. Regression equations on conidia quantification obtained either from aqueous conidia suspensions or conidia placed on plastic tapes were similar. The protocol was further validated in field conditions by estimating the number of P. pannosa conidia obtained with an air sampler, by both microscopical and molecular quantification. Both techniques coincided in detecting the peaks of conidia production during a 4-month sampling period, and a significant correlation (r = 0.819) was observed between both quantification methods. Additionally, the molecular method was applied to detect the latent fungal inoculum in different plant parts of peach trees. The pathogen was detected mainly on the bark of affected twigs, and to a lesser extent, in foliar buds. The method developed here can be applied in the study of P. pannosa epidemiology and can help in improving the management of this pathogen through its early detection and quantification.

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Podosphaera pannosa (powdery mildew of rose)

2022

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Highlights of Epidemiology of the Fungus Sphaerotheca Pannosa (Wallr.) Lev. Var. Persicae Woron in the Southern Zone of Romania

Cited by 4 publications

References 0 publications

A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain

A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain

A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies

Podosphaera pannosa (powdery mildew of rose)

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