49 research outputs found

    The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestock and Food Safety by Modifying the CONSORT Statement

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    The conduct of randomized controlled trials in livestock with production, health and food-safety outcomes presents unique challenges that may not be adequately reported in trial reports. The objective of this project was to modify the CONSORT (Consolidated Standards of Reporting Trials) statement to reflect the unique aspects of reporting these livestock trials. A 2-day consensus meeting was held on 18–19 November 2008 in Chicago, IL, USA, to achieve the objective. Prior to the meeting, a Web-based survey was conducted to identify issues for discussion. The 24 attendees were biostatisticians, epidemiologists, food-safety researchers, livestock-production specialists, journal editors, assistant editors and associate editors. Prior to the meeting, the attendees completed a Web-based survey indicating which CONSORT statement items may need to be modified to address unique issues for livestock trials. The consensus meeting resulted in the production of the REFLECT (Reporting Guidelines for Randomized Control Trials) statement for livestock and food safety and 22-item checklist. Fourteen items were modified from the CONSORT checklist and an additional sub-item was proposed to address challenge trials. The REFLECT statement proposes new terminology, more consistent with common usage in livestock production, to describe study subjects. Evidence was not always available to support modification to or inclusion of an item. The use of the REFLECT statement, which addresses issues unique to livestock trials, should improve the quality of reporting and design for trials reporting production, health and food-safety outcomes

    Climate-smart agriculture global research agenda: Scientific basis for action

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    Background: Climate-smart agriculture (CSA) addresses the challenge of meeting the growing demand for food, fibre and fuel, despite the changing climate and fewer opportunities for agricultural expansion on additional lands. CSA focuses on contributing to economic development, poverty reduction and food security; maintaining and enhancing the productivity and resilience of natural and agricultural ecosystem functions, thus building natural capital; and reducing trade-offs involved in meeting these goals. Current gaps in knowledge, work within CSA, and agendas for interdisciplinary research and science-based actions identified at the 2013 Global Science Conference on Climate-Smart Agriculture (Davis, CA, USA) are described here within three themes: (1) farm and food systems, (2) landscape and regional issues and (3) institutional and policy aspects. The first two themes comprise crop physiology and genetics, mitigation and adaptation for livestock and agriculture, barriers to adoption of CSA practices, climate risk management and energy and biofuels (theme 1); and modelling adaptation and uncertainty, achieving multifunctionality, food and fishery systems, forest biodiversity and ecosystem services, rural migration from climate change and metrics (theme 2). Theme 3 comprises designing research that bridges disciplines, integrating stakeholder input to directly link science, action and governance. Outcomes: In addition to interdisciplinary research among these themes, imperatives include developing (1) models that include adaptation and transformation at either the farm or landscape level; (2) capacity approaches to examine multifunctional solutions for agronomic, ecological and socioeconomic challenges; (3) scenarios that are validated by direct evidence and metrics to support behaviours that foster resilience and natural capital; (4) reductions in the risk that can present formidable barriers for farmers during adoption of new technology and practices; and (5) an understanding of how climate affects the rural labour force, land tenure and cultural integrity, and thus the stability of food production. Effective work in CSA will involve stakeholders, address governance issues, examine uncertainties, incorporate social benefits with technological change, and establish climate finance within a green development framework. Here, the socioecological approach is intended to reduce development controversies associated with CSA and to identify technologies, policies and approaches leading to sustainable food production and consumption patterns in a changing climate

    How much starter grain should a pre-weaned dairy calf be eating?

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    Pre-weaned dairy calves need starter grain to initiate rumen development. Bacteria in the rumen begin to utilize nutrients from the starter grain and produce volatile fatty acids that assist with rumen development and feed intakes. There are guidelines on how much grain a calf should be eating in order to have a functional rumen and be weaned. The rule of thumb is that calves should be consuming about 2 pounds (about 4 cups) of starter per day for three days in a row to be weaned onto all-solid feed. Although calves can safely drink up to 20% of their body weight in milk or milk replacer, many dairy calves are still limit-fed their liquid diet and need to consume adequate amounts of starter grain in order to grow. To maximize starter grain consumption, it is essential to understand how much calves will eat and what factors might impede consumption of starter grain

    Case Study of Experiential Learning through a Training Model at the Science and Policy Interface: The National Animal Health Policy and Food Security Course

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    Experiential learning provides an opportunity forstudents to bridge classroom and research knowledgeand experiences with the realities of creating solutionsfor difficult policy issues. Experiential learning becomeseven more powerful for capacity building when it involvescultural and geographic diversity and multiple public andprivate institutions. Our next generation of leaders willneed these bridging experiences to address and solveglobal challenges like climate change, food securityand transboundary diseases. These challenges cannoteffectively be solved by individual countries or institutionsand require creating new frameworks and partnershipsthat are transdisciplinary and global. The objectives ofthis paper were 1) to describe an experiential learningexperience through the National Animal Health and FoodSecurity Policy course conducted in Washington DC and2) discuss ways the curriculum of this multi-institutionalcourse could be internationalized and adopted globally.The paper discusses possible ways of internationalizingthis course including: formation of partnerships withinstitutions that are already involved in multi-institutionalglobal courses; involvement of international agencieswhose missions align with the national health andfood security policy course; and signing memoranda ofunderstanding among governments to use this coursefor capacity building for their public servants

    CalfScience: Extension Education at Many Levels

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    The issue of antimicrobial resistance in food animal agriculture was addressed by conducting clinical trials to assess alternatives to antimicrobials in dairy calf-raising and developing outreach to three different audiences. Current research was integrated into Extension programs for calf-raisers, animal science and veterinary students, and food animal veterinarians. A complex issue such as resistance in bacteria from the use of antimicrobials in food animal agriculture requires an integrated approach—from the science to its translation to judicious drug use on-farm but also a wide reach, to multiple audiences

    Exploration of Biases That Affect the Interpretation of Restriction Fragment Patterns Produced by Pulsed-Field Gel Electrophoresis

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    Pulsed-field gel electrophoresis (PFGE) has been used extensively in epidemiological investigations of bacteria, especially during food-borne outbreaks or nosocomial infections. The relationship between similarities in PFGE patterns and true genetic relatedness is poorly understood. In this study, computer-simulated populations of Escherichia coli isolates were created by mutating the sequence of E. coli K-12 strain MG1655. The simulated populations of isolates were then digested, again through simulation, with different restriction enzymes and were analyzed for their relatedness by different techniques. Errors associated with band determination and band matching were incorporated into the analyses, as both of these error types have been shown to affect PFGE interpretations. These errors increased the apparent similarities of the isolates. The use of multiple enzymes improved the fidelity between the results of PFGE analyses and the true sequence similarities. These findings, when they are combined with results from laboratory studies, emphasize the need for the inclusion of multiple enzymes and additional epidemiological data in order to make more accurate interpretations
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