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Improving Genomic Prediction Models in Balsam Poplar by Incorporating Genotype by Environment Interaction

Worthing, Baxter W
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Abstract
Genomic prediction is a technique for modeling the phenotypes of individuals based on their genetic background. Genotype by environment interaction (GxE) is a process that causes individuals with different genetic backgrounds to display different phenotypic responses to environmental variation. Naturally, genomic prediction models that do not account for GxE are expected to have reduced prediction accuracy when applied to individuals inhabiting differing environments. Here, we use a genomic prediction model that incorporates GxE in order to improve predictions of bud flush in Balsam Poplar (Populus balsamifera) across its extensive geographical range.
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Date
2019-01-01
Student Status
Graduate
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Type of presentation
Poster Presentation
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UVM Student Research Conference
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URI
https://hdl.handle.net/20.500.14849/7315
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Advisor(s)
Stephen Keller
Department
Program/Major
Plant Biology
College/School
College of Agriculture and Life Sciences
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Biological Sciences
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