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GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures. It allows long-term access to datasets following the FAIR principles: Findable, Accessible, Interoperable, and Reusable, by using a flexible and original approac...


Pommier, C.Michotey, C.Cornut, G.Roumet, P.Duchêne, E.Flores, R.Lebreton, A.Alaux, M.Durand, S.Kimmel, E.Letellier, T.Merceron, G.Laine, M.Guerche, C.Loaec, M.Steinbach, D.Laporte, M-A.Arnaud, ElizabethQuesneville, H.Adam-Blondon, Anne-Françoise[Applying FAIR Principles to plant phenotypic data management in GnpIS]Applying FAIR Principles to plant phenotypic data management in GnpIS

When projecting future crop production, the skill of regional scale (>100 km resolution) crop models is limited by the spatial and temporal accuracy of the calibration and weather data used. The skill of climate models in reproducing surface properties such as mean temperature and rainfall patter...


Watson, J.Challinor, Andrew J.[The relative importance of rainfall, temperature and yield data for a regional scale crop model]The relative importance of rainfall, temperature and yield data for a regional scale crop model

This eco-type map presents land units with distinct vegetation and exposure to floods (or droughts) in three villages in the Barotseland, Zambia. The knowledge and eco-types descriptions were collected from participatory mapping and focus group discussions with 77 participants from Mapungu, Lealu...


Rio, T. delGroot, Jeroen C.J.DeClerck, Fabrice A.J.Estrada Carmona, Natalia[Integrating local knowledge and remote sensing for eco-type classification map in the Barotse Floodplain, Zambia]Integrating local knowledge and remote sensing for eco-type classification map in the Barotse Floodplain, Zambia

Giraldo Mendez, Diana Carolina[Using multi-site experimental data for seasonal forecasting and future conditions of crop yield]Using multi-site experimental data for seasonal forecasting and future conditions of crop yield
CGIAR Research Program on Climate Change, Agriculture and Food Security[Characterizing and validating global land cover workshop]Characterizing and validating global land cover workshop

The absence of an agricultural census in Nigeria means that samples for surveys to estimate agricultural production are obtained from a non-comprehensive, non-representative set of farms. Therefore, aggregate production data quality is questioned. The methods employed herein provide a new way to ...


Hatzenbuehler, P.L.Abbott, Philip C.Abdoulaye, Tahirou[Evaluation of Nigerian agricultural production data]Evaluation of Nigerian agricultural production data
Kissling, W. DanielAhumada, Jorge A.Bowser, AnneFernández, MiguelFernández, NéstorGarcía, Enrique AlonsoGuralnick, Robert P.Isaac, Nick J. B.Kelling, SteveLos, WouterMcRae, LouiseMihoub, Jean-BaptisteObst, MatthiasSantamaria, MonicaSkidmore, Andrew K.Williams, Kristen J.Agosti, DonatAmariles, DanielArvanitidis, ChristosBastin, LucyLeo, Francesca deEgloff, WilliElith, JaneHobern, DonaldMartin, DavidPereira, Henrique M.Pesole, GrazianoPeterseil, JohannesSaarenmaa, HannuSchigel, DmitrySchmeller, Dirk S.Segata, NicolaTurak, ErenUhlir, Paul F.Wee, BrianHardisty, Alex R.[Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale]Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale

Mrode, Raphael A.Ojango, Julie M.K.Chinyere, E.Gibson, John P.Okeyo Mwai, Ally[Innovative digital technology and genomic approaches to dairy cattle genetic improvement in developing countries]Innovative digital technology and genomic approaches to dairy cattle genetic improvement in developing countries

Kiplimo, Jusper RonohAarts, M. Noelle C.Boer, W. Fred deBommel, Severine vanPfeifer, Catherine[Biases in crowdsourced livestock data and its impact on modelling tick distribution in semi-arid savannas of Kenya]Biases in crowdsourced livestock data and its impact on modelling tick distribution in semi-arid savannas of Kenya

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