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using both conventional breeding methods and marker assisted breeding. Learning Objectives: The participant will partner with the mentor to learn more about: Conducting phenotype trials related to maize
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., VOF, LS), hybrid methods (Eulerian-Lagrangian); chemical kinetic models based on finite rate chemistry, tabulated kinetic models, or novel methods that improve the computational CPU cost; and fluid
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applying models of insect movement, and develop predictive models. This research aims to collect movement data and produce models to enhance current surveillance, control, and eradication methods, such as
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extensive training in cell-based methods relevant to evaluating anticancer properties of natural products. Collaborating as part of a multidisciplinary team, the participant will gain experience in: Mammalian
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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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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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adapting methods from published literature. Through meticulous record-keeping, data tabulation, statistical analysis, and summarization using computer software, you will gain practical experience in managing
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skills by engaging in the full cycle of research activities, including developing research questions and methods, reviewing literature, analyzing data, writing publications for peer review, and presenting
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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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extraction methods Proficient in program R Proficient with spatial software (e.g., ArcGIS, R, QGIS) Proficient with Microsoft software Comfortable doing research in a remote location and in inclement weather