• Skip to primary navigation
  • Skip to main content

Aggie Research Programs

Texas A&M University

  • Research Leadership
  • Undergraduates
  • Project List
  • Team Leader Resources
  • Contacts
  • Calendar
  • FAQs
  • Show Search
Hide Search

Spring 2017 – 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:
Spring 2017: (full)
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:
You will need to be able to work outside and in different varying weather conditions (heat, cold, dusty) while standing.
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 4, 2020

Categories: FullTags: Spring 2017

Footer

Texas A&M University  |  Web Accessibility  |  Site Policies  |  Site Support

© 2021, Website by CVMBS Communications, Texas A&M College of Veterinary Medicine & Biomedical Sciences