K
K. Richardson
Researcher at Oregon State University
Publications - 8
Citations - 475
K. Richardson is an academic researcher from Oregon State University. The author has contributed to research in topics: Hordeum vulgare & Quantitative trait locus. The author has an hindex of 5, co-authored 6 publications receiving 441 citations.
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Journal ArticleDOI
Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust.
M. I. Vales,Chris-Carolin Schön,F. Capettini,Xianming Chen,Ann Corey,Diane E. Mather,Christopher C. Mundt,K. Richardson,J. S. Sandoval-Islas,H. F. Utz,Patrick M. Hayes +10 more
TL;DR: Selective genotyping and/or selective phenotyping approaches could be effective strategies for reducing the costs associated with conducting QTL analysis in large populations using the barley/barley stripe rust pathosystem to evaluate the effect of population size on the estimation of QTL parameters.
Journal ArticleDOI
Mapping and pyramiding of qualitative and quantitative resistance to stripe rust in barley.
Ariel J. Castro,F. Capettini,Ann Corey,T. Filichkina,Patrick M. Hayes,Andris Kleinhofs,David Kudrna,K. Richardson,S. Sandoval-Islas,C. Rossi,H. Vivar +10 more
TL;DR: The results indicate that combining qualitative and quantitative resistance in the same genotype is feasible, however, the durability of such resistance pyramids will require challenge from virulent isolates, which currently are not reported in North America.
Journal ArticleDOI
Pyramiding and dissecting disease resistance QTL to barley stripe rust.
TL;DR: Pyramiding multiple QTL alleles led to higher levels of resistance in terms of all components of QR except latent period, which led to longer latent periods than the susceptible parent (Baronesse).
Journal ArticleDOI
Pyramiding and Validation of Quantitative Trait Locus (QTL) Alleles Determining Resistance to Barley Stripe Rust: Effects on Adult Plant Resistance
Ariel J. Castro,Xianming Chen,Ann Corey,T. Filichkina,Patrick M. Hayes,Christopher C. Mundt,K. Richardson,S. Sandoval-Islas,H. Vivar +8 more
TL;DR: The results validate QTL effect estimates, showing that a small number of QTL explained 94% of the genetic variation in trait expression in a new genetic background, and original QTL estimates were quantitatively biased, but that did not preclude the achievement of selection responses.