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Andrew J. Eckert
Researcher at Virginia Commonwealth University
Publications - 81
Citations - 4679
Andrew J. Eckert is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Population & Local adaptation. The author has an hindex of 31, co-authored 77 publications receiving 4070 citations. Previous affiliations of Andrew J. Eckert include University of Nebraska–Lincoln & University of Washington.
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Journal ArticleDOI
A practical guide to environmental association analysis in landscape genomics
TL;DR: Expected future directions in the field of landscape genomics are summarized, such as the extension of statistical approaches, environmental association analysis for ecological gene annotation, and the need for replication and post hoc validation studies.
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Patterns of Population Structure and Environmental Associations to Aridity Across the Range of Loblolly Pine (Pinus taeda L., Pinaceae)
Andrew J. Eckert,Joost van Heerwaarden,Jill L. Wegrzyn,C. Dana Nelson,Jeffrey Ross-Ibarra,Santiago C. González-Martínez,David B. Neale,David B. Neale +7 more
TL;DR: In this article, the authors used a genome-wide data set of single nucleotide polymorphisms genotyped across 3059 functional genes to study patterns of population structure and identify loci associated with aridity across the natural range of loblolly pine (Pinus taeda L.).
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Putting the landscape into the genomics of trees: approaches for understanding local adaptation and population responses to changing climate
Victoria L. Sork,Sally N. Aitken,Rodney J. Dyer,Andrew J. Eckert,Pierre Legendre,David B. Neale +5 more
TL;DR: A vision of how forest trees offer an unparalleled opportunity to address fundamental biological questions, as well as how the application of landscape genomic methods complement to traditional forest genetic approaches that provide critical information needed for natural resource management is articulated.
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Back to nature: ecological genomics of loblolly pine (Pinus taeda, Pinaceae)
Andrew J. Eckert,Andrew D. Bower,Santiago C. González-Martínez,Jill L. Wegrzyn,Graham Coop,David B. Neale,David B. Neale +6 more
TL;DR: In this paper, the authors used a genome-wide dataset of single nucleotide polymorphisms (SNPs) typed from 1730 loci in 682 loblolly pine (Pinus taeda L.) trees sampled from 54 local populations covering the full-range of the species to examine allelic correlations to five multivariate measures of climate.
Journal ArticleDOI
Association Genetics of Coastal Douglas Fir (Pseudotsuga menziesii var. menziesii, Pinaceae). I. Cold-Hardiness Related Traits
Andrew J. Eckert,Andrew D. Bower,Jill L. Wegrzyn,Barnaly Pande,Kathleen D. Jermstad,Konstantin V. Krutovsky,J. Bradley St. Clair,David B. Neale,David B. Neale +8 more
TL;DR: A candidate gene-based approach is used to search for genetic associations between 384 single-nucleotide polymorphism (SNP) markers from 117 candidate genes and 21 cold-hardiness related traits, providing insight into the genetic components of complex traits in coastal Douglas fir.