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Nicholas C. Wheeler
Researcher at Weyerhaeuser
Publications - 36
Citations - 2218
Nicholas C. Wheeler is an academic researcher from Weyerhaeuser. The author has contributed to research in topics: Quantitative trait locus & Population. The author has an hindex of 19, co-authored 36 publications receiving 2148 citations.
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Journal ArticleDOI
From genotype to phenotype: unraveling the complexities of cold adaptation in forest trees
Glenn T. Howe,Sally N. Aitken,David B. Neale,Kathleen D. Jermstad,Nicholas C. Wheeler,Tony H. H. Chen +5 more
TL;DR: Analyses of quantitative trait loci indicate that cold adaptation traits are mostly controlled by population differentiation, with phenological traits having the highest heritabilities.
Journal ArticleDOI
Association Genetics in Pinus taeda L. I. Wood Property Traits
Santiago C. González-Martínez,Santiago C. González-Martínez,Nicholas C. Wheeler,Elhan S. Ersoz,C. Dana Nelson,David B. Neale,David B. Neale +6 more
TL;DR: This first multigene association genetic study in forest trees has shown the feasibility of candidate gene strategies for dissecting complex adaptive traits, provided that genes belonging to key pathways and appropriate statistical tools are used.
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Population structure, genic diversity, and morphological variation in Pinus contorta Dougl.
TL;DR: The distribution of allozyme variation indicates that very little population differentiation has occurred and the extent of population differentiation is far less than that observed for many herbaceous plants but similar to reports for other conifers.
Journal ArticleDOI
Paternal inheritance of chloroplast DNA in Douglas-fir
TL;DR: The inheritance of chloroplast DNA in Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) was determined using a restriction fragment length polymorphism (RFLP) as a marker, providing direct evidence for the paternal inheritance ofchloroplastDNA in a gymnosperm.
Journal ArticleDOI
Identification of QTLs influencing wood property traits in loblolly pine ( Pinus taeda L.). II. Chemical wood properties.
Mitchell M. Sewell,Mark F. Davis,Gerald A. Tuskan,Nicholas C. Wheeler,Carolyn C. Elam,Daniel L. Bassoni,David B. Neale +6 more
TL;DR: Results from QTL×environment analyses suggest that QTLs interact with environmental location, and QTL mapping will help towards eventually identifying genes having a major effect on chemical wood properties.