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will 1) learn methods to conduct whole genome expression analyses (RNA-seq) of plant/pathogen and plant/insect interactions, 2) learn bioinformatic methods to identify and characterize candidate genes
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the production, value, and safety of pecan, peach, nectarine, and plum crops. The participant will learn how to develop methods to improve control of key pecan diseases. The primary disease focus is pecan scab
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affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With
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Raman imaging technologies for safety and quality evaluation of agricultural products. Learn artificial intelligence/machine learning methods to evaluate hyperspectral image data to assess safety and
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. The participant will also investigate methods to enrich soy protein to minimize use of water and chemicals. The functional properties of soy protein will be evaluated. These functional properties may include
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of produce at the retail terminus. Develop instrumental analysis techniques (e.g., HPLC, HPLC/MS) and laboratory methods to evaluate postharvest quality traits and to analyze bioactive compounds, nutrients and
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. As a subordinate element of the U.S. Army Medical Research and Development Command (USAMRDC), the institute conducts research for development of medical countermeasures to treat exposure to various
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conventional breeding methods and marker assisted breeding. The overall objective of the research is to develop and release germplasm, methodology and information that will expedite the development and
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, the fellow will have the opportunity to collaborate on related research including eDNA detection methods and mapping populations across the growing region. Learning Objectives: Under the guidance of a mentor
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resilience. Learning Objectives: The participant will receive training in insect rearing methods, insecticidal bioassays, molecular techniques, and data analysis. Mentor(s): The mentor for this opportunity is