Co-occurrence network inference analysis allows identification of keystone microbial species associated to soil compartments and environments in cultivated olive

Alexandre De Menezes

Co-occurrence network inference analysis allows identification of keystone microbial species associated to soil compartments and environments in cultivated olive

Sustainable World

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Original language	English (Ireland)
Title of host publication	EGU General Assembly
Place of Publication	Online
Publication status	Published - 1 Apr 2021

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Anguita-Maeso, Manuel and Estudillo-Cazorla, Cristina and LeÃ³n-Ropero, Guillermo and Navas-CortÃ©s, Juan and de Menezes, Alexandre and Landa, Blanca

Cite this

@inproceedings{66250bd5756948bda79ad7a1af4edd08,

title = "Co-occurrence network inference analysis allows identification of keystone microbial species associated to soil compartments and environments in cultivated olive",

author = "{De Menezes}, Alexandre",

year = "2021",

month = apr,

day = "1",

language = "English (Ireland)",

booktitle = "EGU General Assembly",

}