Publications
Published
Online Learning Modules
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Wheeler N, Harry D. 2012. Introduction [Online Module 1]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Genes, genomes, and Mendel [Online Module 2]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Population genetics [Online Module 3]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Quantitative genetics [Online Module 4]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Introduction to tree breeding and provenance trials [Online Module 5]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Wegrzyn J, Harry D. 2012. Genetic markers [Online Module 6]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Measuring, organizing, and interpreting marker variation [Online Module 7]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Genetic mapping [Online Module 8]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Mapping quantitative trait loci (QTL) [Online Module 9]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Linkage disequilibrium [Online Module 10]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N, Harry D. 2012. Association genetics [Online Module 11]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Wheeler N. 2012. Marker informed breeding - program management [Online Module 12]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. Available at [Link]
Wheeler N. 2012. Association discovery and evaluation [Online Module 13]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Isik F. 2012. Using markers to predict breeding values [Online Module 14]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Whetten R. 2012. Genomic selection [Online Module 15]. Genomics in Tree Breeding and Forest Ecosystem Management, Conifer Translational Genomics Network. eXtension Foundation. [Link]
Journal Publications
Neale D. 2011. Genomics-based breeding in forest trees: Are we there yet? BMC Proceedings 5(Suppl 7):14.
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Jayawickrama KJS, Ye TZ, Howe GT. 2011. Heritabilities, intertrait genetic correlations, GxE interaction and predicted genetic gains for acoustic velocity in mid-rotation coastal Douglas-fir. Silvae Genet. 60:1-18.
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Munoz Del Valle PR, Huber DA, Butnor JR. 2011. Phenotypic analysis of first-year traits in a pseudo-backcross {(slash x loblolly) x slash} and the open-pollinated families of the pure-species progenitors. Tree Genetics and Genomes 7:183-192.
Submitted
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Zapata-Valenzuela JA, Isik FT, Maltecca C, Wegryzn JL, Neale DB, McKeand SE, Whetten RW. Genomic selection in a clonal population of loblolly pine. BMC Genetics
In Preparation
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Howe GT, Yu Jianbin, Knaus BJ, Cronn R, Dolan P, Dean JFD, Lorenz WW, Kolpak S, Cushman SA. The Douglas-fir transcriptome: Assembly, evaluation, and relevance to tree breeders.
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Chhatre VE, Byram TD, Neale DB, Wegrzyn JL, Krutovsky KV. Genetic diversity and population structure of breeding populations of E. Texas loblolly pine (Pinus taeda L.).
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Chhatre VE, Byram TD, Neale DB, Wegrzyn JL, Krutovsky KV. Association mapping analysis of adaptive traits in breeding populations of E. Texas loblolly pine (Pinus taeda L.).
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[Dudley Huber] Quantitative trait loci analysis for growth, efficiency and morphological traits in a pseudo-backcross (slash x loblolly) x slash
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[Dudley Huber] Quantitative trait loci analysis for growth and wood properties in slash pine families. Waiting for genotype data
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Ogut F, Isik FT, Maltecca C, McKeand SE, Whetten RW. Use of simulations to explore analytical methods for SNP datasets in tree breeding.
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Zapata-Valenzuela JA, Isik FT, Maltecca C, Wegryzn JL, Neale DB, McKeand SE, Whetten RW. Applications of genomic relationship matrices to BLUP analysis of progeny test data.
Cumbie WP, Isik FT, Wegrzyn JL, Eckert AJ, Neale DB, McKeand SE, Goldfarb B, Whetten RW. Association genetics and marker effects for volume and stem form in loblolly pine (Pinus taeda L.)
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Xiong J, Isik FT, Wegrzyn JL, Neale DB, McKeand SE, Whetten RW. Quantitative trait loci influencing forking defects in loblolly pine (Pinus taeda L.).
Posters
Realized Genomic Relationshp and Genomic Selection in Loblolly Pine. IUFRO 2011. Jaime Zapata-Valenzuela, Fikret Isik, Christian Maltecca, Jill Wegrzyn, David Neale, Steve McKeand, Ross Whetten. [Link]
TreeGenes: A Forest Tree Genome Database, Plant and Animal Genome XVII , 2009. Jill L Wegrzyn, Ben N Figueroa, Alex Q Voong, Elly Y Chen, David B Neale. [Link]
Conifer Translational Genomics Network. Presented at Annual Retreat, Center for Genomic Research & Biocomputing, OSU. September 27, 2007. Dave Harry and Glenn Howe. [Link]