Theses and Dissertations
ORCID
https://orcid.org/0000-0002-3402-7725
Advisor
Renninger, Heidi
Committee Member
Pudzianowska, Marta
Committee Member
Gardiner, Emile
Committee Member
Galeano, Esteban
Date of Degree
12-12-2025
Original embargo terms
Immediate Worldwide Access
Document Type
Graduate Thesis - Open Access
Major
Forestry
Degree Name
Master of Science (M.S.)
College
College of Forest Resources
Department
Department of Forestry
Abstract
The thesis investigates the genetic structure and diversity of the Populus deltoides collection from the USDA Forest Service breeding program. Using genomics techniques, six population groups with varying levels of admixture were identified, revealing extensive historical recombination and complexity in the population structure, which contrasts with earlier studies from different regions. The research also confirms the collection's integrity by detecting operational errors and contamination, addressed through genetic identity and parentage analysis. Notably, over 80% of the clones have contributions from multiple ancestors, indicating widespread interbreeding. Additionally, a reliable database was created, covering about 96% of the unique genotypes. This enables comparisons with other collections and enhances confidence in the current set. The study provides vital resources for management, breeding, and conservation, forming a foundation for future genetic diversity assessments. Overall, it emphasizes the importance of molecular markers in analyzing genetic structure, maintaining germplasm quality, and supporting sustainable breeding practices.
Sponsorship (Optional)
This thesis is supported by the USDA Forest Service Southern Research Station, Center for Bottomland Hardwoods Research in Stoneville, Mississippi, under project 22-JV-11330170-089: Climate Smart Carbon Sequestration Resources for Bottomland Hardwood Ecosystems
Recommended Citation
Rivera Moreno, Carlos Armando, "Genetic reconstruction and diversity analysis in the USDA Forest Service Populus deltoides breeding collection" (2025). Theses and Dissertations. 6755.
https://scholarsjunction.msstate.edu/td/6755