Quantitative Genetics and Genomics Converge to Accelerate Forest Tree Breeding
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Quantitative Genetics and Genomics Converge to Accelerate Forest Tree Breeding
Authors
Keywords
-
Journal
Frontiers in Plant Science
Volume 9, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2018-11-22
DOI
10.3389/fpls.2018.01693
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories
- (2018) Mari Suontama et al. HEREDITY
- Multienvironment genomic variance decomposition analysis of open-pollinated Interior spruce (Picea glauca x engelmannii)
- (2018) Omnia Gamal El-Dien et al. MOLECULAR BREEDING
- Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers
- (2018) Eduardo P. Cappa et al. PLANT SCIENCE
- Genomic relationships reveal significant dominance effects for growth in hybrid Eucalyptus
- (2018) Biyue Tan et al. PLANT SCIENCE
- Accuracy of Genomic Prediction for Foliar Terpene Traits in Eucalyptus polybractea
- (2018) David Kainer et al. G3-Genes Genomes Genetics
- Genomic selection prediction models comparing sequence capture and SNP array genotyping methods
- (2018) Bráulio Fabiano Xavier de Moraes et al. MOLECULAR BREEDING
- Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations
- (2018) Bárbara S. F. Müller et al. NEW PHYTOLOGIST
- Phenotyping Whole Forests Will Help to Track Genetic Performance
- (2018) Heidi S. Dungey et al. TRENDS IN PLANT SCIENCE
- GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes
- (2017) Gustavo E. Marcatti et al. FOREST ECOLOGY AND MANAGEMENT
- Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model
- (2017) R T Resende et al. HEREDITY
- Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models
- (2017) Eduardo P. Cappa et al. MOLECULAR BREEDING
- Identifying gene coexpression networks underlying the dynamic regulation of wood-forming tissues in Populus under diverse environmental conditions
- (2017) Matthew Zinkgraf et al. NEW PHYTOLOGIST
- Genomic predictions of breeding values in a cloned Eucalyptus globulus population in Chile
- (2017) Ricardo Durán et al. Tree Genetics & Genomes
- Single-Step BLUP with Varying Genotyping Effort in Open-Pollinated Picea glauca
- (2017) Blaise Ratcliffe et al. G3-Genes Genomes Genetics
- Exploration of genetic architecture through sib-ship reconstruction in advanced breeding population of Eucalyptus nitens
- (2017) Jaroslav Klápště et al. PLoS One
- Integrated analysis and transcript abundance modelling of H3K4me3 and H3K27me3 in developing secondary xylem
- (2017) Steven G. Hussey et al. Scientific Reports
- Performance of genomic prediction within and across generations in maritime pine
- (2016) Jérôme Bartholomé et al. BMC GENOMICS
- The contribution of dominance to phenotype prediction in a pine breeding and simulated population
- (2016) J E de Almeida Filho et al. HEREDITY
- Genome-wide association study reveals putative regulators of bioenergy traits in Populus deltoides
- (2016) Annette M. Fahrenkrog et al. NEW PHYTOLOGIST
- Regional heritability mapping and genome-wide association identify loci for complex growth, wood and disease resistance traits in Eucalyptus
- (2016) Rafael Tassinari Resende et al. NEW PHYTOLOGIST
- Genomic selection in maritime pine
- (2016) Fikret Isik et al. PLANT SCIENCE
- Open chromatin reveals the functional maize genome
- (2016) Eli Rodgers-Melnick et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Lessons from Domestication: Targeting Cis -Regulatory Elements for Crop Improvement
- (2016) Gwen Swinnen et al. TRENDS IN PLANT SCIENCE
- Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America
- (2016) Tongli Wang et al. PLoS One
- Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones
- (2016) C. Saint Pierre et al. Scientific Reports
- Prediction accuracies for growth and wood attributes of interior spruce in space using genotyping-by-sequencing
- (2015) Omnia Gamal El-Dien et al. BMC GENOMICS
- Perspectives for Genomic Selection Applications and Research in Plants
- (2015) Nicolas Heslot et al. CROP SCIENCE
- Modeling additive and non-additive effects in a hybrid population using genome-wide genotyping: prediction accuracy implications
- (2015) J-M Bouvet et al. HEREDITY
- A comparison of genomic selection models across time in interior spruce (Picea engelmannii × glauca) using unordered SNP imputation methods
- (2015) B Ratcliffe et al. HEREDITY
- A flexible multi-species genome-wide 60K SNP chip developed from pooled resequencing of 240Eucalyptustree genomes across 12 species
- (2015) Orzenil B. Silva-Junior et al. NEW PHYTOLOGIST
- Parentage Reconstruction in Eucalyptus nitens Using SNPs and Microsatellite Markers: A Comparative Analysis of Marker Data Power and Robustness
- (2015) Emily J. Telfer et al. PLoS One
- Genomic selection accuracies within and between environments and small breeding groups in white spruce
- (2014) Jean Beaulieu et al. BMC GENOMICS
- The Effects of Demography and Long-Term Selection on the Accuracy of Genomic Prediction with Sequence Data
- (2014) Iona M. MacLeod et al. GENETICS
- Unraveling Additive from Nonadditive Effects Using Genomic Relationship Matrices
- (2014) Patricio R. Muñoz et al. GENETICS
- Accuracy of genomic selection models in a large population of open-pollinated families in white spruce
- (2014) J Beaulieu et al. HEREDITY
- Genomic selection in forest tree breeding: the concept and an outlook to the future
- (2014) Fikret Isik NEW FORESTS
- Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations ofPopulus trichocarpa
- (2014) Athena D. McKown et al. NEW PHYTOLOGIST
- Genomic selection in crops, trees and forages: a review
- (2014) Z. Lin et al. Crop & Pasture Science
- Mapping and Dynamics of Regulatory DNA and Transcription Factor Networks in A. thaliana
- (2014) Alessandra M. Sullivan et al. Cell Reports
- Genome-wide association mapping for wood characteristics inPopulusidentifies an array of candidate single nucleotide polymorphisms
- (2013) Ilga Porth et al. NEW PHYTOLOGIST
- Impacts of Population Structure and Analytical Models in Genome-Wide Association Studies of Complex Traits in Forest Trees: A Case Study in Eucalyptus globulus
- (2013) Eduardo P. Cappa et al. PLoS One
- A reaction norm model for genomic selection using high-dimensional genomic and environmental data
- (2013) Diego Jarquín et al. THEORETICAL AND APPLIED GENETICS
- Genomic Estimated Breeding Values Using Genomic Relationship Matrices in a Cloned Population of Loblolly Pine
- (2013) Jaime Zapata-Valenzuela et al. G3-Genes Genomes Genetics
- Applied Animal Genomics: Results from the Field
- (2013) Alison L. Van Eenennaam et al. Annual Review of Animal Biosciences
- Accuracy of Genomic Selection Methods in a Standard Data Set of Loblolly Pine (Pinus taeda L.)
- (2012) M. F. R. Resende et al. GENETICS
- Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees
- (2012) Marcos D. V. Resende et al. NEW PHYTOLOGIST
- SNP markers trace familial linkages in a cloned population of Pinus taeda—prospects for genomic selection
- (2012) Jaime Zapata-Valenzuela et al. Tree Genetics & Genomes
- Efficiency of genomic selection with models including dominance effect in the context of Eucalyptus breeding
- (2012) Marie Denis et al. Tree Genetics & Genomes
- Comprehensive genetic dissection of wood properties in a widely-grown tropical tree: Eucalyptus
- (2011) Jean-Marc Gion et al. BMC GENOMICS
- Association Genetics of Wood Physical Traits in the Conifer White Spruce and Relationships With Gene Expression
- (2011) Jean Beaulieu et al. GENETICS
- Association genetics of carbon isotope discrimination, height and foliar nitrogen in a natural population of Pinus taeda L
- (2011) W P Cumbie et al. HEREDITY
- Forest tree genomics: growing resources and applications
- (2011) David B. Neale et al. NATURE REVIEWS GENETICS
- Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments
- (2011) M. F. R. Resende et al. NEW PHYTOLOGIST
- Prospects for genomic selection in conifer breeding: a simulation study of Cryptomeria japonica
- (2011) Hiroyoshi Iwata et al. Tree Genetics & Genomes
- A high-density Diversity Arrays Technology (DArT) microarray for genome-wide genotyping in Eucalyptus
- (2010) Carolina P Sansaloni et al. Plant Methods
- Genomic selection in forest tree breeding
- (2010) Dario Grattapaglia et al. Tree Genetics & Genomes
- Genomics of growth traits in forest trees
- (2009) Dario Grattapaglia et al. CURRENT OPINION IN PLANT BIOLOGY
- Increased accuracy of artificial selection by using the realized relationship matrix
- (2009) B. J. HAYES et al. Genetics Research
- A relationship matrix including full pedigree and genomic information
- (2009) A. Legarra et al. JOURNAL OF DAIRY SCIENCE
- Quantitative genetic analysis of biomass and wood chemistry ofPopulusunder different nitrogen levels
- (2009) Evandro Novaes et al. NEW PHYTOLOGIST
- Quantitative trait locus (QTL) analysis of wood quality traits in Eucalyptus nitens
- (2009) Bala R. Thumma et al. Tree Genetics & Genomes
- Efficient Methods to Compute Genomic Predictions
- (2008) P.M. VanRaden JOURNAL OF DAIRY SCIENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started