Authors

Kathy Esvelt Klos, USDA Agricultural Research Service
Yung Fen Huang, National Taiwan University
Wubishet A. Bekele, Agriculture and Agri-Food Canada
Don E. Obert, Limagrain, France
Ebrahiem Babiker, USDA Agricultural Research Service
Aaron D. Beattie, University of Saskatchewan
Åsmund Bjørnstad, Norges Miljø- og Biovitenskapelige Universitet
J. Michael Bonman, USDA Agricultural Research Service
Martin L. Carson, USDA Agricultural Research Service, Cereal Disease Laboratory
Shiaoman Chao, USDA Agricultural Research Service
Belaghihalli N. Gnanesh, Agriculture and Agri-Food Canada
Irene Griffiths, Institute of Biological, Environmental and Rural Sciences
Stephen A. Harrison, Louisiana State University
Catherine J. Howarth, Institute of Biological, Environmental and Rural Sciences
Gongshe Hu, USDA Agricultural Research Service
Amir Ibrahim, Texas A&M University
Emir Islamovic, BASF Corporation USA
Eric W. Jackson, General Mills Inc
Jean Luc Jannink, USDA Agricultural Research Service
Frederic L. Kolb, University of Illinois Urbana-Champaign
Michael S. McMullen, North Dakota State University
Jennifer Mitchell Fetch, Agriculture and Agri-Food Canada
J. Paul Murphy, NC State University
Herbert W. Ohm, Purdue University
Howard W. Rines, University of Minnesota Twin Cities
Brian G. Rossnagel, University of Saskatchewan
Jessica A. Schlueter, College of Computing and Informatics
Mark E. Sorrells, Cornell University
Charlene P. Wight, Agriculture and Agri-Food Canada
Weikai Yan, Agriculture and Agri-Food Canada
Nicholas A. Tinker, Agriculture and Agri-Food Canada

Document Type

Article

Publication Date

7-1-2016

Abstract

Six hundred thirty five oat (Avena sativa L.) lines and 4561 single-nucleotide polymorphism (SNP) loci were used to evaluate population structure, linkage disequilibrium (LD), and genotype-phenotype association with heading date. The first five principal components (PCs) accounted for 25.3% of genetic variation. Neither the eigenvalues of the first 25 PCs nor the cross-validation errors from K = 1 to 20 model-based analyses suggested a structured population. However, the PC and K = 2 model-based analyses supported clustering of lines on spring oat vs. southern United States origin, accounting for 16% of genetic variation (p < 0.0001). Single-locus F-statistic (FST) in the highest 1% of the distribution suggested linkage groups that may be differentiated between the two population subgroups. Population structure and kinship-corrected LD of r2 = 0.10 was observed at an average pairwise distance of 0.44 cM (0.71 and 2.64 cM within spring and southern oat, respectively). On most linkage groups LD decay was slower within southern lines than within the spring lines. A notable exception was found on linkage group Mrg28, where LD decay was substantially slower in the spring subpopulation. It is speculated that this may be caused by a heterogeneous translocation event on this chromosome. Association with heading date was most consistent across location-years on linkage groups Mrg02, Mrg12, Mrg13, and Mrg24.

Publication Source (Journal or Book title)

Plant Genome

Share

COinS