A meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives

Authors

Breugel, P. van

Zonneveld, M. van

Lillesø, Jens-Peter B.

Jamnadass, Ramni H.

Date Issued

Date Online

2017-06-01

Metadata

Citation

Dawson, I.K.; van Breugel, P.; Coe, R.; Kindt, R.; van Zonneveld, M.; Lilleso, J-P.; Graudal, L.; Muchugi, A.; Russell, J.; Jamnadass, R. (2017) A meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives. Tree Genetics & Genomes 13:71. ISSN:1614-2942

Permanent link to cite or share this item

https://hdl.handle.net/10568/81503

DOI

https://doi.org/10.1007/s11295-017-1155-7

Organizations Affiliated to the Authors

World Agroforestry Centre; James Hutton Institute; University of Copenhagen; University of Reading; Bioversity International

Collections

Bioversity Journal Articles
Effective Genetic Resources Conservation and Use

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Type

Journal Article

Review Status

Peer Review

Language

en

AGROVOC Keywords

models; forest landscape conservation; genetic markers; genetic variation; natural environment; horticulture; genetics; molecular biology; forestry

Subjects

MODELS; FOREST LANDSCAPE CONSERVATION; GENETIC MARKERS; GENETIC VARIATION

Regions

Access Rights

Limited Access

Usage Rights

Copyrighted; all rights reserved

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