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quality attributes and resistance to diseases and pests, as well as a tolerance to environmental stresses. This will be achieved through a combination of traditional breeding methods, molecular techniques
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excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: This appointment is part of the Methods and
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Project: The participant will have the opportunity to take part in the Methods and Applications of Food Composition Laboratory effort to improve the speed, accuracy, and/or sensitivity of methods
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techniques to investigate off-flavor compounds in water and food systems. With mentor guidance, they will develop optimized sample preparation workflows and instrumental quantification methods to enhance
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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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of a mentor, the participant will use a range of phylogenetic methods (including Bayesian) to study how interspecies transmission, genomic reassortment, and farm production practices affect the evolution
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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