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