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develops genetic resources to help improve resistance to disease and abiotic stress. The research project with which you will participate will focus on the evaluation of diverse germplasm, with special
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Initiative (PMI) in areas like insecticide resistance, insecticide and drug analysis, and the deployment of long-lasting insecticide-treated bed nets and indoor residual spraying. The Entomology Branch plays a
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productivity, quality, and resistance to major diseases. The research activities will integrate traditional breeding with molecular and genomics-based approaches. Researching in laboratory, greenhouse, and field
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and screening for herbicide resistance in established and newly emerging problematic weed species in the Mississippi Delta region. You will also learn to identify key differences in physiology, growth
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genomics and II. Barley and oat molecular biology. For the first project, you will help conduct genetic analysis of resistance to stripe rust and hessian fly in barley and map the key genes or QTLs related
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to artificial-intelligence-driven monitoring systems to forecast and manage stored product insect populations and insecticide resistance. Home to Kansas State University and The Flint Hills, Manhattan, KS
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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moisture content, we will use laterally extensive time-lapse electrical resistivity tomography (ERT) surveys as well as co-located borehole nuclear magnetic resonance (bNMR) logging to quantify water content
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resistance to diseases and pests (nematodes, insects, and weeds) with favored quality characters and improved yield potentials; and b) to develop knowledge on disease and pest biology, ecology, and
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to evaluate and refine established and newly developed screening approaches for postharvest disease resistance. Build experience in developing and assessing preharvest and postharvest treatments to control