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Fall 2016 – Genomic prediction modeling for fiber quality in upland cotton

Affiliations:
Project Leader: Mitchell Schumann
mitchell.schumann@tamu.edu
Soil and Crop Science
Faculty Mentor: Wayne C. Smith, Ph.D.
Meeting Times:
Fall 2016
Team Size:
3 (Team Full)
Open Spots: 0
Special Opportunities:
You will be able to gain research experience working in plant breeding and genetics with the Cotton Genetics Improvement Lab (CGIL); learn basic principles in plant breeding and statistical techniques for quantifying genetic variation that will be applied to real world data; given the opportunity to receive research credit hours; and highly motivated participants will be considered for full time paid summer employment with the (CGIL).
Team Needs:
Description:
The cotton industry accounts for 100 billion dollars of the U.S. economy, and the U.S. is the number one exporter of cotton. The goal of this program is to explore the genetic architecture of cotton fiber quality, and produce elite cultivars with superior fiber quality alleles. The approach of this project is to develop genomic prediction models to predict fiber quality using only genotypic data.

Written by:
Jennie Lamb
Published on:
February 3, 2020

Categories: FullTags: Fall 2016

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