<i>Phytophthora capsici</i> on Vegetable Crops: Research Progress and Management Challenges

Hausbeck, M. K.; Lamour, Kurt

doi:10.1094/pdis.2004.88.12.1292

Cited by 444 publications

(370 citation statements)

References 59 publications

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“…The sensitivity analysis of the infection risk model showed the importance of temperature and soil water content in the behavior of the model, which is in agreement with the epidemiology of Phytophthora diseases (Caf-Filho and Duniway, 1995;Hausbeck and Lamour, 2004;Kim et al, 1985;Ristaino and Johnston, 1999). Temperature data are often easily available from a public weather monitoring system, whereas it is not easy to obtain soil water content data for local crop fields.…”

Section: Discussionsupporting

confidence: 74%

“…Various data and models on the epidemiology of Phytophthora capsici and the soil water content were adopted from the literature (Allen et al, 1998;Bernhardt and Grogan, 1982;Cronshey et al, 1986;Duniway, 1975;Erwin et al, 1983;Erwin and Ribeiro, 1996;Hasegawa et al, 2006;Hausbeck and Lamour, 2004;Hur, 2002;Jee et al, 2000;Jung, 2005;Jung et al, 2000;Katsura, 1971;Ponce and Hawkins, 1996). The infection risk model deals with the root infection process in soil, which is distinct from other disease forecast models determining possible infection on aerial parts of host plants based on temperature and wetness period (De Wolf and Isard, 2007;Magarey et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

“…Referring to the research results which were already published in the literature, following assumptions were made to consider the behavior of zoosporangia and zoospores in soil: (1) the zoosporangia can be produced at > −3,000 kPa of soil water matric potential (Erwin et al, 1983); (2) a zoosporangium germinates directly or releases 20 zoospores at > −500 kPa of soil water matric potential (Duniway, 1975;Erwin et al, 1983;Hausbeck and Lamour, 2004); (3) the zoospores or germinated zoosporangia can survive and initiate infection for 3 days (Hur, 2002); and (4) the proportion of zoosporangia (p) that are going to release zoospores is determined by daily mean soil temperature (Ts) at 30 cm depth under the polyethylene film mulching at chili pepper fields and p can be determined as the following equation (Bernhardt and Grogan, 1982;Erwin and Ribeiro, 1996;Katsura, 1971 Since most of root-infecting Phytophthora spp. produce zoosporangia only in free water or in aqueous salt solutions and soil extract (Erwin and Ribeiro, 1996), the number of zoosporangia (PZ n ) produced at day n in an arbitrary volume of soil of which the soil water matric potential is higher than -3,000 kPa can be estimated as follows:…”

Section: Methodsmentioning

confidence: 99%

“…Zoospores which are released from zoosporangia can move under saturated soil conditions and infect roots or aerial parts of plants (Duniway, 1976;Duniway, 1979). Zoosporangia may germinate directly via formation of one to several germ tubes or release 20 to 40 biflagellate motile zoospores (Hausbeck and Lamour, 2004). In pot tests, about 41 oospores per gram of soil and 25 zoospores per plant caused death of 50% and 95% of the plants exposed under flooded soil condition, respectively (Bowers and Mitchell, 1991).…”

mentioning

confidence: 99%

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A Forecast Model for the First Occurrence of Phytophthora Blight on Chili Pepper after Overwintering

Seok¹,

Kang²,

Park³

2012

The Plant Pathology Journal

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An infection risk model for Phytophthora blight on chili pepper was developed to estimate the first date of disease occurrence in the field. The model consisted of three parts including estimation of zoosporangium formation, soil water content, and amount of active inoculum in soil. Daily weather data on air temperature, relative humidity and rainfall, and the soil texture data of local areas were used to estimate infection risk level that was quantified as the accumulated amount of active inoculum during the prior three days. Based on the analysis on 190 sets of weather and disease data, it was found that the threshold infection risk of 224 could be an appropriate criterion for determining the primary infection date. The 95% confidence interval for the difference between the estimated date of primary infection and the observed date of first disease occurrence was 8 ± 3 days. In the model validation tests, the observed dates of first disease occurrence were within the 95% confidence intervals of the estimated dates in the five out of six cases. The sensitivity analyses suggested that the model was more responsive to temperature and soil texture than relative humidity, rainfall, and transplanting date. The infection risk model could be implemented in practice to control Phytophthora blight in chili pepper fields.

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Section: Discussionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A Forecast Model for the First Occurrence of Phytophthora Blight on Chili Pepper after Overwintering

Seok¹,

Kang²,

Park³

2012

The Plant Pathology Journal

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“…The wide host range of P. capsici consists of more than 45 species of crops and weeds belonging to 14 families [7][8][9][10]. The pathogen is a heterothallic, soil-borne oomycete (water-mold) characterized by asexually produced motile, biflagellate zoospores and sexually produced thick-walled oospores.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Selected Bacterial Endophytes for Biocontrol Potential against Phytophthora Blight of Bell Pepper (Capsicum annuum L.)

A¹,

Mt²

2017

J Plant Pathol Microbiol

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Phytophthora blight, caused by Phytophthora capsici, is the most destructive disease of bell pepper in the United States. The effectiveness of current management strategies is limited by the long-term survival of oospores, wide host range, aggressive fungicide-resistant isolates, and lack of resistant cultivars with acceptable agronomic traits. Biological control is a viable alternative, and the use of endophytic microorganisms as biological control agents (BCA) has attracted widespread attention because they colonize the same ecological niches as plant pathogens. Seven isolates of bacterial endophytes in three genera Serratia (B17B), Enterobacter (E), and Bacillus (IMC8, Y, Ps, Psl and Prt), isolated from papaya, snap bean and flowering dogwood were evaluated for effects on P. capsici mycelial growth in vitro, and on disease severity and plant growth in greenhouse environment. All isolates significantly inhibited the mycelial growth of P. capsici with Ps, Psl and Prt having superior inhibitory effects. Seed treatments with Ps, Psl and Prt followed by plant inoculation with P. capsici reduced disease severity, and significantly increased plant shoot height, fresh weight, and fruit yield (number and weight) with Ps and Prt being slightly superior to Psl. Compatibility tests between isolates showed that only B17B and Y were compatible with each other. Sensitivity tests to different levels of mefenoxam (Ridomil Gold SL) showed that Ps, Psl and Prt were tolerant to the fungicide, while P. capsici was highly sensitive. Thus, Ps, Psl and Prt can be used in rotation with mefenoxam to reduce the frequency of fungicide usage for a more environmentally friendly, long lasting, consistent, and effective control of phytophthora blight. Overall, all isolates tested are potential BCAs against P. capsici, but more greenhouse and field studies are required to confirm in vitro results for all isolates that showed good potential in in vitro studies.

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Oomycete Genetics and Genomics

Lamour¹,

Kamoun²

2008

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Phytophthora capsici on Vegetable Crops: Research Progress and Management Challenges

Cited by 444 publications

References 59 publications

A Forecast Model for the First Occurrence of Phytophthora Blight on Chili Pepper after Overwintering

A Forecast Model for the First Occurrence of Phytophthora Blight on Chili Pepper after Overwintering

Evaluation of Selected Bacterial Endophytes for Biocontrol Potential against Phytophthora Blight of Bell Pepper (Capsicum annuum L.)

Oomycete Genetics and Genomics

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