Evaluating the accuracy of genomic prediction for the management and conservation of relictual natural tree populations-Reference-Cited by-同舟云学术

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Evaluating the accuracy of genomic prediction for the management and conservation of relictual natural tree populations

Published:2021-02 Issue:1 Volume:17 Page:
ISSN:1614-2942
Container-title:Tree Genetics & Genomes
language:en
Short-container-title:Tree Genetics & Genomes

Author:

Arenas Sebastián,Cortés Andrés J.,Mastretta-Yanes Alicia,Jaramillo-Correa Juan Pablo

Funder

CONACyT

“Dirección General de Asuntos del Personal Académico”

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1007/s11295-020-01489-1.pdf

Reference132 articles.

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2. Aitken SN, Bemmels JB (2015) Time to get moving: assisted gene flow of forest trees. Evol Appl 9(1):271–290. https://doi.org/10.1111/eva.12293

3. Aitken SN, Whitlock MC (2013) Assisted gene flow to facilitate local adaptation to climate change. Annu Rev Ecol Evol Syst 44:367–388. https://doi.org/10.1146/annurev-ecolsys-110512-135747

4. Aitken SN, Yeaman S, Holliday JA, Wang T, Curtis-McLane S (2008) Adaptation, migration or extirpation: climate change outcomes for tree populations. Evol Appl 1:95–111. https://doi.org/10.1111/j.1752-4571.2007.00013.x

5. Amadeu R, Cellon C, Lara L, Resende M, Oliveira I, Ferrao L, Munoz P, Garcia A (2016) Package ‘AGHmatrix’ R package to construct relationship matrices for autotetraploid and diploid species: a blueberry example. The Plant Genome 9. https://doi.org/10.3835/plantgenome2016.01.0009

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