Browsing by Author "McKinney, Julie Michelle"

Now showing 1 - 9 of 9
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    Boiling Water Bath Canning Including Jams, Jellies, and Pickled Products
    Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2019-01-09)
    Describes the proper equipment, recommended guidelines and recipes that can ensure that food preserved at home is safe and delicious.
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    Boiling Water Bath Canning – Including Jams, Jellies, and Pickled Products
    Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2011-07-01)
    Describes the proper equipment, recommended guidelines and recipes that can ensure that food preserved at home is safe and delicious.
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    Common Foodborne Pathogen. Staphylococcus aureus
    Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2010-09-02)
    What is Staphylococcus aureus, it's symptoms, who and how one gets intoxicated, and the proper food handling techniques.
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    Common Foodborne Pathogens. Clostridium botulinum
    Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2011-09-03)
    What is Clostridium botulinum, it's symptoms, and how to prevent it.
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    Common Foodborne Pathogens. Listeria monocytogenes
    Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2009-10-13)
    What is Listeria monocytogenes, it's symptoms, who and how one gets intoxicated, and the proper food handling techniques.
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    Food Storage Guidelines For Consumers
    Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2013-01-15)
    This publication, intended for consumers, describes the proper purchase and storage of all types of food products including meat, fish, poultry, dairy, fruit, vegetables, fresh bakery products, packaged food and mixes, and many common pantry staples and condiments.
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    Food Storage Guidelines For Consumers
    Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2018-03-23)
    Describes the proper purchase and storage of all types of food products including meat, fish, poultry, dairy, fruit, vegetables, fresh bakery products, packaged food and mixes, and many common pantry staples and condiments.
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    Identifying Sources of Fecal Pollution in the Appomattox River Watershed
    McKinney, Julie Michelle (Virginia Tech, 2004-05-20)
    Sources of E. coli were determined from impaired waterways in the Appomattox River watershed (in the lower Piedmont and South-Central Virginia) for the development of bacterial Total Maximum Daily Loads (TMDLs). The Appomattox River watershed is primarily undeveloped with 70.8% of the land forested, 17.0% used for agriculture (mainly livestock production), and 7.7% classified as water, wetland or barren land. The remaining 4.5% is developed for residential, commercial, and industrial land uses (mainly within the city of Petersburg). Using Antibiotic Resistance Analysis, a known source library of 1,280 E. coli isolates (320 isolates per source) was constructed. Water samples were collected monthly for between eleven and fourteen months (11/02-12/03) from 40 locations throughout the Appomattox watershed and analyzed for fecal coliforms, E. coli, and resistance to 7 antibiotics of varying concentrations. A total of 486 water samples (9,907 isolates) were analyzed during the study. The objectives of this study were verify that each sampling site exceeded state bacterial count standards (using fecal coliform data), to compare the Discriminate Analysis and Logistic Regression statistical models for use in the classification of isolates, and finally to determine the source of contamination at each site. The fecal coliform and E.coli data was used to determine if each site exceeded state standards during the assessment period. Thirty-eight of the sites exceeded the fecal coliform standard at least 10% of the time, and thirty-three exceeded the E.coli standard at least 10% of the time. Discriminate Analysis (DA) is typically used to classify isolates, but the results obtained from the DA model were unrealistic based on the watershed land uses. By statistically analyzing the original 1,280 E.coli isolates six different ways, a more appropriate classification of isolates was determined. The six analyzing methods were Regular DA and Logistic Regression (LR); DA and LR where each isolate whose probability fell below 80% was deleted; DA and LR where each isolate whose probability fell below 80% was used to create an Unknown category. The Logistic Regression model with an Unknown category proved to be the most appropriate. By using the Logistic Regression model, with Unknown category, to classify isolates, twenty five of the forty sites were discovered to be contaminated predominately with Livestock and fourteen of the sites predominately by Wildlife. One site was equally divided between these two categories. Human and Pet contamination were not dominant at any of the forty sites. This comparison of the DA and LR statistical methods could change the analysis standard for Bacterial Source Tracking and suggests that the model required to classify isolates depends on the watershed characteristics.
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    Understanding and Managing Food Allergies
    Villalba, Abigail; Boyer, Renee R.; McKinney, Julie Michelle (Virginia Cooperative Extension, 2010-08-24)
    This publication provides general information and guidelines to manage food allergies at home, schools, day care centers, and camps.