Progress 06/01/07 to 05/31/10
Outputs
Progress Report Objectives (from AD-416) This is a renewal of a current grant "Monitoring aerial transport of Phakopsora pachyrhizi spores". The main focus of this proposal is to correlate spore trap data and field disease development data. The specific objectives of the proposal are: (1) Develop six test sites (LA, FL, SC, IA, IL and OH) with field plots of soybeans, spore traps and weather station. Spore traps will be monitored three times a week and the soybean plot will be scouted weekly for disease; (2) Pilot project to test active SEM spore traps at 3 sites; (3) Continued partial support for national monitoring program using NAPD network of rain collectors; and (4) Evaluation of spore trap data for modeling and disease forecasting. Approach (from AD-416) Filters from weekly rain samples are supplied by NADP. Particulate matter (including fungal spores) is removed from the filters, dried, and DNA is extracted. The presence of P. pachyrhizi DNA is assayed for by using a Real-Time PCR. This assay consists of nest PCR using both P. pachyrhizi specific primers and a Taqman probe. This project was part of a national monitoring program for the Asian soybean rust, an important fungal pathogen of soybeans. A network of spore traps was established covering the eastern half of the U.S. to monitor the aerial transport of fungal spores in order to develop and validate disease risk models. Several types of spore traps were tested. Best results were found using active wet deposition and passive wind-vane traps. A new electrostatic active air trap was developed and field-tested at a few selected sites. Aerial movement of soybean rust fungal spores was monitored during the soybean growing seasons in 2005 through 2009. Spore trap data demonstrated that soybean rust fungal spores can be transported long distances through the atmosphere and deposited by rain. Passive air traps were more effective to monitor local spread of fungal spores. This data was used to validate and refine atmospheric models developed for predicting the movement of fungal plant pathogens. Spore trap data was compared with in-field disease data. Data was provided weekly to a national database system, and provided weekly information to extension and crop specialists who used this data to develop local monitoring efforts and information for growers. The impact of the research was to demonstrate that a national network of traps is an effective way to monitor aerial transport of rust fungal spores and provide real-time data for disease management. Application of this technology is being used to monitor aerial movement of other important rust fungal plant pathogens. Regular e-mails, conference calls and meetings were used to monitor progress of this project.
Impacts
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Publications
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Progress 10/01/08 to 09/30/09
Outputs
Progress Report Objectives (from AD-416) This is a renewal of a current grant "Monitoring aerial transport of Phakopsora pachyrhizi spores". The main focus of this proposal is to correlate spore trap data and field disease development data. The specific objectives of the proposal are: (1) Develop six test sites (LA, FL, SC, IA, IL and OH) with field plots of soybeans, spore traps and weather station. Spore traps will be monitored three times a week and the soybean plot will be scouted weekly for disease; (2) Pilot project to test active SEM spore traps at 3 sites; (3) Continued partial support for national monitoring program using NAPD network of rain collectors; and (4) Evaluation of spore trap data for modeling and disease forecasting. Approach (from AD-416) Filters from weekly rain samples are supplied by NADP. Particulate matter (including fungal spores) is removed from the filters, dried, and DNA is extracted. The presence of P. pachyrhizi DNA is assayed for by using a Real-Time PCR. This assay consists of nest PCR using both P. pachyrhizi specific primers and a Taqman probe. Significant Activities that Support Special Target Populations This project is a part of a national monitoring program for the Asian soybean rust pathogen (P. pachyrhizi). Spore traps were set up at 20 sites across the US soybean growing regions and samples were collected on a weekly basis from June to September 2009. Samples were assayed for the presence of P. pachyrhizi spores using DNA based methods. 2008 Spore deposition data was compared with disease development in order to refine risk assessment models for soybean rust. Regular e-mails and conference calls were used to monitor progress of this project.
Impacts
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Progress 10/01/07 to 09/30/08
Outputs
Progress Report Objectives (from AD-416) This is a renewal of a current grant "Monitoring aerial transport of Phakopsora pachyrhizi spores". The main focus of this proposal is to correlate spore trap data and field disease development data. The specific objectives of the proposal are: (1) Develop six test sites (LA, FL, SC, IA, IL and OH) with field plots of soybeans, spore traps and weather station. Spore traps will be monitored three times a week and the soybean plot will be scouted weekly for disease; (2) Pilot project to test active SEM spore traps at 3 sites; (3) Continued partial support for national monitoring program using NAPD network of rain collectors; and (4) Evaluation of spore trap data for modeling and disease forecasting. Approach (from AD-416) Filters from weekly rain samples are supplied by NADP. Particulate matter (including fungal spores) is removed from the filters, dried, and DNA is extracted. The presence of P. pachyrhizi DNA is assayed for by using a Real-Time PCR. This assay consists of nest PCR using both P. pachyrhizi specific primers and a Taqman probe. Significant Activities that Support Special Target Populations Six test sites were established (LA, FL, SC, IA, IL and OH) to monitor Phakopsora pachyrhizi (Asian soybean rust) spore deposition, disease development, and collect climatic data. Samples from spore traps were collected from May through September. Samples were assayed for the presence of P. pachyrhizi spores microscopically and DNA based methods. Spore deposition data was compared with field observations of disease development in order to refine risk assessment models for soybean rust.
Impacts
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Progress 10/01/06 to 09/30/07
Outputs
Progress Report Objectives (from AD-416) The specific objectives of the overall project are to: (1) Use existing NADP collection sites, collect rain samples from 122 sites covering the soybean growing regions in the continental U.S. as well as Puerto Rico and the Virgin Islands for a 6-month period; (2) Analyze particulate matter collected on filters (including fungal spores) from rain samples using Real-Time PCR assay specific for Phakopsora pachyrhizi, and (3) Provide analysis data for risk assessment and model development. Approach (from AD-416) Filters from weekly rain samples are supplied by NADP. Particulate matter (including fungal spores) is removed from the filters, dried, and DNA is extracted. The presence of P. pachyrhizi DNA is assayed for by using a Real-Time PCR. This assay consists of nest PCR using both P. pachyrhizi specific primers and a Taqman probe. Significant Activities that Support Special Target Populations This report serves to document research conducted under a reimbursable agreement (agreement number 58-3640-7-0423) between ARS and the United Soybean Board. This is collaborative project involving ARS (Les Szabo and Glen Hartman), Clemson University, Louisiana State University, Pennsylvania State University, and University of Florida. Additional details of this research can be found in the report for parent project 3640-21220-020-00D - Genetics, Population Biology and Host-Parasite Interactions of Cereal Rust Fungi and Their Diseases. Three test sites were established to monitor Phakopsora pachyrhizi (Asian soybean rust) spore deposition and disease development, and collect climatic data. Spore trapping data was collected from May through September. In addition, air spore traps will established in ten other sites in the southern U.S. spore morphology and Real-time PCR was used to identify P. pachyrhizi spores in the samples.
Impacts
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