Forest tree genomics: growing resources and applications

By David B. Neale, A. Kremer. Nature reviews genetics, 2011

710 citations recorded by the source corpus.

Subfields: Environmental Engineering, Genetics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/bf5b69eea008406a38f7468943ebdae3105cd998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Niko Balkenhol
2. J. Garnas
3. S. Aitken

In Genetics

1. O. Ronce
2. Sam Yeaman
3. F. Lefèvre
4. J. Bridle
5. S. Aitken
6. R. Vaillancourt
7. S. González‐Martínez
8. J. J. Robledo-Arnuncio

In Nature and Landscape Conservation

1. Gil Bohrer
2. A. Kuparinen
3. A. Kremer
4. R. Vaillancourt
5. J. Bridle
6. Michael J. Wingfield
7. Ran Nathan
8. J. Koch

Citations in the corpus

• Genetic effects of forest management practices: Global synthesis and perspectives (2014, background): “…as clines or mosaics across the distribution range of the species for key fitness-related traits such as survival, growth, phenology of growth and flowering, and resistance to drought and pests (Ducousso et al., 1996; Fallour-Rubio et al., 2009; Neale and Kremer, 2011; Savolainen et al., 2007).”
• Biological control of forest plantation pests in an interconnected world requires greater international focus (2012, background): “Advances in tree breeding such as marker-assisted selection have shown great promise as a strategy to combat chronic or emerging pests (Neale and Kremer 2011).”
• Breeding trees resistant to insects and diseases: putting theory into application (2017, background): “The effects of all markers are then estimated simultaneously (unlike MAS) and used to predict genomic breeding values in a test population without the need for phenotypic data (Resende et al. 2012; Jannink et al. 2010).”
• Potential for evolutionary responses to climate change – evidence from tree populations (2013, background): “The increasing knowledge of the molecular basis of quantitative trait variation (see Neale & Kremer, 2011 for references) can improve predictive models (see e.g., Wilczek et al., 2010).”
• Long-distance gene flow and adaptation of forest trees to rapid climate change (2012, background): “In forest trees, the former situation seems to be the most common (Neale & Kremer 2011).”
• Translating conservation genetics into management: Pan-European minimum requirements for dynamic conservation units of forest tree genetic diversity (2013, background): “for adaptation of forests to climate change (Hampe and Petit, 2005; Neale and Kremer, 2011) and 74”
• Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, background): “In the future it will be important to move beyond an assessment of population genetic structure in single species to infer potential future responses to climate and landscape change and to begin to predict how communities of species will respond based on our knowledge of adaptive capacity (Holderegg”
• Utilization and transfer of forest genetic resources: A global review (2014, background): “Genomic developments and new markers, such as those based on single nucleotide polymorphisms (SNPs), also offer possibilities to survey adaptive diversity within tree populations (Neale and Kremer, 2011).”