Notre Mission : étudier les interactions entre la plante et son environnement qui ont un impact sur l'état sanitaire des plantes, leur croissance et leur productivité. Il s'agit d'interactions avec des organismes microbiens ou des insectes, qu’ils soient pathogènes ou bénéfiques.

Nos objectifs

  • Comprendre comment une plante interagit avec des micro-organismes et des bioagresseurs.
  • Analyser l'impact de ces interactions sur la santé de la plante
  • Proposer des solutions pour assurer une bonne productivité des cultures

Principales cultures concernées

Riz, blé, banane, café, cacao, canne à sucre, manioc, orge, agrume, Aeschynomene

Organismes étudiés

Virus, Bactéries, Champignons, Nématodes, Insectes

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1 to 10 of 28 Results
Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
16 déc. 2021
Motisi, Natacha; Papaïx, Julien; Poggi, Sylvain, 2021, "Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"", https://doi.org/10.18167/DVN1/KP76RE, CIRAD Dataverse, V1
Data of coffee berry disease (CBD) dynamics and of microclimates, collected over two consecutive years (2012-2013) on a smallholding coffee farm in Bamendjou in West Cameroon (5°24′0″N; 10°19′0″E, alt. 1600m), were used to assess the effect of shade and full sun on CBD epidemiolo...
1-graph_field_obs.r
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Syntax - 4,3 KB - MD5: f72070c0a926a1b9ddaceaf002965aa7
codes for making figures
2-analyses.r
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Syntax - 34,3 KB - MD5: 0d93d9a619f71f74c0dba53e4dfd67c3
codes for computations of the MCMC chains and for making figures
epid_clim_brut_2012noshade.Rdata
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 16,8 KB - MD5: a4abdda103790fffce86f9f6e871f186
data for climate variables under full sun in 2012
epid_clim_brut_2012shade.Rdata
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 17,3 KB - MD5: 52d81199e18bd7c589796cd755b6ea2b
data for climate variables under shade in 2012
epid_clim_brut_2013noshade.Rdata
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 17,6 KB - MD5: 2bbf5882e579fec5a4f2d4c7b826cfb7
data for climate variables under full sun in 2013
epid_clim_brut_2013shade.Rdata
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 17,9 KB - MD5: e2908e147a225a4885c2cfd1e27d8d0d
data for climate variables under shade in 2013
field_data.rdata
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 46,9 KB - MD5: 50e9c0575a858111440d54d6a5971aab
data for CBD monitoring cluster by cluster (shade, full sun, 2012, 2013)
fig3_field_obs.tif
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
TIFF Image - 10,3 MB - MD5: c7062ee7959bd9602a82fab5e15d165b
figure output published in the related paper
fig4_data_vs_model.tif
16 déc. 2021 - Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
TIFF Image - 10,3 MB - MD5: ff3859de353198b7e611cf858c65958d
figure output published in the related paper
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