Predictive characterization methods for accessing and using CWR diversity

Detalles Bibliográficos
Autores principales:	Thormann, I., Parra-Quijano, M., Rubio-Teso, M.L., Endersen, D.T.F., Dias, S., Iriondo, Jose Maria, Maxted, Nigel
Formato:	Capítulo de libro
Lenguaje:	Inglés
Publicado:	CAB International 2016
Materias:	wild plants crops geographic information systems application methods biodiversity
Acceso en línea:	https://hdl.handle.net/10568/75709

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