The Establishment of a National Pest Information Platform for Extension and Education

Isard, Scott A.; Russo, Joseph M.; DeWolf, Erick

doi:10.1094/php-2006-0915-01-rv

Cited by 49 publications

(33 citation statements)

References 1 publication

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“…Predicted spore depositions are mapped and uploaded onto the restricted website to be used by university extension specialists (30,32). This model was used to further support the notion that SBR inoculum likely arrived in the continental United States in association with Hurricane Ivan (31,33).…”

Section: Predictive Modeling For Sbrmentioning

confidence: 99%

“…These detections followed the inland track of Hurricane Ivan, which made landfall on 16 September 2004 near Gulf Shores, AL. P. pachyrhizi may have been transported to the United States from the Caribbean or South America in this tropical weather system (31,33).…”

Section: Time To Monitor: Detection Of Sbr In North Americamentioning

confidence: 99%

“…During February of 2005, the USDA unveiled a coordinated framework for SBR surveillance, reporting, prediction, management, and outreach (33,(75)(76)(77)(78). The framework linked federal and state/provincial agencies, soybean farmers, and agricultural industry representatives.…”

Section: Time To Monitor: Detection Of Sbr In North Americamentioning

confidence: 99%

“…The aforementioned framework and collaborative effort among agencies was the driving force behind the development of the SBR-PIPE (32,33). One of the goals in developing the SBR-PIPE was to provide stakeholders with a coordinated and comprehensive website where they could obtain: (i) accurate and near real-time information on the distribution and severity of SBR in North America; (ii) timesensitive SBR risk assessments; (iii) information on SBR management options; and (iv) links to educational tools for SBR (5,18,29,63).…”

Section: Time To Monitor: Detection Of Sbr In North Americamentioning

confidence: 99%

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A Coordinated Effort to Manage Soybean Rust in North America: A Success Story in Soybean Disease Monitoring

et al. 2014

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Existing crop monitoring programs determine the incidence and distribution of plant diseases and pathogens and assess the damage caused within a crop production region. These programs have traditionally used observed or predicted disease and pathogen data and environmental information to prescribe management practices that minimize crop loss. Monitoring programs are especially important for crops with broad geographic distribution or for diseases that can cause rapid and great economic losses. Successful monitoring programs have been developed for several plant diseases, including downy mildew of cucurbits, Fusarium head blight of wheat, potato late blight, and rusts of cereal crops. A recent example of a successful disease-monitoring program for an economically important crop is the soybean rust (SBR) monitoring effort within North America. SBR, caused by the fungus Phakopsora pachyrhizi, was first identified in the continental United States in November 2004. SBR causes moderate to severe yield losses globally. The fungus produces foliar lesions on soybean (Glycine max) and other legume hosts. P. pachyrhizi diverts nutrients from the host to its own growth and reproduction. The lesions also reduce photosynthetic area. Uredinia rupture the host epidermis and diminish stomatal regulation of transpiration to cause tissue desiccation and premature defoliation. Severe soybean yield losses can occur if plants defoliate during the mid-reproductive growth stages. The rapid response to the threat of SBR in North America resulted in an unprecedented amount of information dissemination and the development of a real-time, publicly available monitoring and prediction system known as the Soybean Rust-Pest Information Platform for Extension and Education (SBR-PIPE). The objectives of this article are (i) to highlight the successful response effort to SBR in North America, and (ii) to introduce researchers to the quantity and type of data generated by SBR-PIPE. Data from this system may now be used to answer questions about the biology, ecology, and epidemiology of an important pathogen and disease of soybean.

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Section: Predictive Modeling For Sbrmentioning

confidence: 99%

Section: Time To Monitor: Detection Of Sbr In North Americamentioning

confidence: 99%

Section: Time To Monitor: Detection Of Sbr In North Americamentioning

confidence: 99%

Section: Time To Monitor: Detection Of Sbr In North Americamentioning

confidence: 99%

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A Coordinated Effort to Manage Soybean Rust in North America: A Success Story in Soybean Disease Monitoring

et al. 2014

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“…The Pest Information Platform for Extension and Education (PIPE) is a network connected by computers using advanced Information Technology (IT) to add value to field observations of agricultural pests (Isard et al 2006b). Initially, the goal of the system was to enhance support for managing soybean rust in North America.…”

Section: Pipe Sentinel Plot Monitoring and Forecastingmentioning

confidence: 99%

From Select Agent to an Established Pathogen: The Response to Phakopsora pachyrhizi (Soybean Rust) in North America

et al. 2015

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The pathogen causing soybean rust, Phakopsora pachyrhizi, was first described in Japan in 1902. The disease was important in the Eastern Hemisphere for many decades before the fungus was reported in Hawaii in 1994, which was followed by reports from countries in Africa and South America. In 2004, P. pachyrhizi was confirmed in Louisiana, making it the first report in the continental United States. Based on yield losses from countries in Asia, Africa, and South America, it was clear that this pathogen could have a major economic impact on the yield of 30 million ha of soybean in the United States. The response by agencies within the United States Department of Agriculture, industry, soybean check-off boards, and universities was immediate and complex. The impacts of some of these activities are detailed in this review. The net result has been that the once dreaded disease, which caused substantial losses in other parts of the world, is now better understood and effectively managed in the United States. The disease continues to be monitored yearly for changes in spatial and temporal distribution so that soybean growers can continue to benefit by knowing where soybean rust is occurring during the growing season.

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Early Detection and Diagnosis of High‐Consequence Plant Pests in the United States

Cardwell

Hoffman

2008

Wiley Handbook of Science and Technology for Homeland Security

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The United States has over a billion acres of food, fiber, feed, and fuel production agriculture. US agriculture could be considered a large, soft target to those who would want to strike at the economy, the social stability, or the sense of security of the US citizenry. It would be technically easy to do. Early detection and diagnosis of pests and diseases of plants is the best way to limit spread and impact, whether they arrive naturally or are introduced deliberately. The US Department of Homeland Security and the US Department of Agriculture, together with its State Department of Agriculture partners, the Land Grant University System, the Cooperative Extension Service, and agricultural industry and commodity association partners have formal and nonformal surveillance systems, as well as networks of plant pest diagnostic facilities to accomplish early detection and diagnosis of newly introduced agricultural and forest pest agents. Due to the large geographic area that must be covered to be effective, physical surveillance has to be supplemented by predictive models and remote sensing technologies. Even when surveillance systems are working optimally, diagnostic laboratory throughput could be a bottle‐neck for the generation of information in near real time. The National Plant Diagnostic Network is a distributed system of laboratories designed to manage sample surge and produce data for syndromic analysis.

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The Establishment of a National Pest Information Platform for Extension and Education

Cited by 49 publications

References 1 publication

A Coordinated Effort to Manage Soybean Rust in North America: A Success Story in Soybean Disease Monitoring

A Coordinated Effort to Manage Soybean Rust in North America: A Success Story in Soybean Disease Monitoring

From Select Agent to an Established Pathogen: The Response to Phakopsora pachyrhizi (Soybean Rust) in North America

Early Detection and Diagnosis of High‐Consequence Plant Pests in the United States

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