相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
Germano Costa-Neto et al.
HEREDITY (2021)
Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs
Jiri Korecky et al.
SCIENTIFIC REPORTS (2021)
Training Set Optimization for Sparse Phenotyping in Genomic Selection: A Conceptual Overview
Julio Isidro y Sanchez et al.
FRONTIERS IN PLANT SCIENCE (2021)
Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis
Zhi-Qiang Chen et al.
GENOME BIOLOGY (2021)
Demography and Natural Selection Have Shaped Genetic Variation in the Widely Distributed Conifer Norway Spruce (Picea abies)
Xi Wang et al.
GENOME BIOLOGY AND EVOLUTION (2020)
Predictive breeding for maize: Making use of molecular phenotypes, machine learning, and physiological crop models
Jacob D. Washburn et al.
CROP SCIENCE (2020)
Guest Editors' Introduction to the Special Issue on Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture
Hans-Peter Piepho et al.
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS (2020)
Disentangling the effects of spatial proximity and genetic similarity on individual growth performances in Norway spruce natural populations
Camilla Avanzi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Modelling GxE with historical weather information improves genomic prediction in new environments
Jussi Gillberg et al.
BIOINFORMATICS (2019)
Assessing the potential for assisted gene flow using past introduction of Norway spruce in southern Sweden: Local adaptation and genetic basis of quantitative traits in trees
Pascal Milesi et al.
EVOLUTIONARY APPLICATIONS (2019)
Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies
Daniela Bustos-Korts et al.
FRONTIERS IN PLANT SCIENCE (2019)
Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP)
C. D. Messina et al.
EUROPEAN JOURNAL OF AGRONOMY (2018)
Correcting for spatial heterogeneity in plant breeding experiments with P-splines
Maria Xose Rodriguez-Alvarez et al.
SPATIAL STATISTICS (2018)
Varying selection differential throughout the climatic range of Norway spruce in Central Europe
Stefan Kapeller et al.
EVOLUTIONARY APPLICATIONS (2017)
Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery
John M. Hickey et al.
NATURE GENETICS (2017)
Patterns of additive genotype-by-environment interaction in tree height of Norway spruce in southern and central Sweden
Zhi-Qiang Chen et al.
TREE GENETICS & GENOMES (2017)
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
Jose Crossa et al.
TRENDS IN PLANT SCIENCE (2017)
Forest disturbances under climate change
Rupert Seidl et al.
NATURE CLIMATE CHANGE (2017)
Time to get moving: assisted gene flow of forest trees
Sally N. Aitken et al.
EVOLUTIONARY APPLICATIONS (2016)
Extending the Marker x Environment Interaction Model for Genomic-Enabled Prediction and Genome-Wide Association Analysis in Durum Wheat
Jose Crossa et al.
CROP SCIENCE (2016)
Convergent local adaptation to climate in distantly related conifers
Sam Yeaman et al.
SCIENCE (2016)
Perspectives for Genomic Selection Applications and Research in Plants
Nicolas Heslot et al.
CROP SCIENCE (2015)
The biggest drought events in Europe from 1950 to 2012
Jonathan Spinoni et al.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES (2015)
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
Diego Jarquin et al.
THEORETICAL AND APPLIED GENETICS (2014)
Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions
Nicolas Heslot et al.
THEORETICAL AND APPLIED GENETICS (2014)
A Population Genetic Signal of Polygenic Adaptation
Jeremy J. Berg et al.
PLOS GENETICS (2014)
Potential for evolutionary responses to climate change evidence from tree populations
Florian J. Alberto et al.
GLOBAL CHANGE BIOLOGY (2013)
A new high resolution absolute temperature grid for the Greater Alpine Region back to 1780
Barbara Chimani et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2013)
Preparing for Climate Change: Forestry and Assisted Migration
Mary I. Williams et al.
JOURNAL OF FORESTRY (2013)
Genetic status of Norway spruce (Picea abies) breeding populations for northern Sweden
P. Androsiuk et al.
SILVAE GENETICA (2013)
A stage-wise approach for the analysis of multi-environment trials
Hans-Peter Piepho et al.
BIOMETRICAL JOURNAL (2012)
Intraspecific variation in climate response of Norway spruce in the eastern Alpine range: Selecting appropriate provenances for future climate
Stefan Kapeller et al.
FOREST ECOLOGY AND MANAGEMENT (2012)
Hemisphere-scale differences in conifer evolutionary dynamics
Andrew B. Leslie et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)
Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems
Marcus Lindner et al.
FOREST ECOLOGY AND MANAGEMENT (2010)
A high-resolution 1961-1990 monthly temperature climatology for the greater Alpine region
Johann Hiebl et al.
METEOROLOGISCHE ZEITSCHRIFT (2009)
FactoMineR: An R package for multivariate analysis
Sebastien Le et al.
JOURNAL OF STATISTICAL SOFTWARE (2008)
Computing heritability and selection response from unbalanced plant breeding trials
Hans-Peter Piepho et al.
GENETICS (2007)
Construction of a 10-min-gridded precipitation data set for the Greater Alpine Region for 1800-2003 -: art. no. D01105
D Efthymiadis et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2006)
Genetic parameters of growth and wood quality traits in Picea abies
B Hannrup et al.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2004)