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. Investigate post-introduction adaptation of biocontrol agents through a combination of laboratory studies and cutting-edge genomic and transcriptomic analysis, examining how genetic changes influence adaptation
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resource management, economics, or a combination of above. Experience using statistics to analyze multi-faceted datasets and strong organizational skills to link multiple datasets into a cohesive analysis
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agents through a combination of laboratory studies and cutting-edge genomic and transcriptomic analysis, examining how genetic changes influence adaptation to diverse environmental conditions and enhance
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(KY vs. MT) on the performance and physiology of beef heifers, specifically as it relates to fescue toxicosis and heat stress susceptibility. This study utilizes a combination of measures including
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acceptable maize inbred lines with improved combining ability for yield, and alignment with industry heterotic patterns; and Discover maize inbred lines that are resilient to extreme weather events and more
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on developing methods for the genetic engineering of grapevine (Vitis vinifera) and potentially other plants with the goal of generating plant varieties with novel desirable traits. Combinations of tissue culture
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. This project will use a combination of analyses utilizing gene families, synteny relationships, genetic association results, and published gene functional information, to catalog and evaluate the genes involved
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combinations with traps and other pest management tactics, to determine effective outcomes for pest management. Results will be disseminated through peer-reviewed publications, stakeholder reports, and annual
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to collect and combine existing productivity, geospatial, land use, and other economic, and environmental datasets to investigate regional opportunities and trends. Mentor(s): The mentor for this opportunity
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. Under the guidance of a mentor, the fellow will participate in a project that combines both in-situ and remote sensing data to develop novel monitoring techniques to measure within-field variability in