Presenter's Name(s)

Baxter W. Worthing, UVMFollow

Primary Faculty Mentor Name

Stephen Keller

Status

Graduate

Student College

College of Agriculture and Life Sciences

Program/Major

Plant Biology

Primary Research Category

Biological Sciences

Presentation Title

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

Time

11:00 AM

Location

Silver Maple Ballroom - Biological Sciences

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

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.