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The South Green Web portal (http://www.southgreen.fr/) provides access to a large panel of public databases, analytical workflows and bioinformatics resources dedicated to the genomics of tropical and Mediterranean crops. The portal contains currently about 20 information systems and tools and ta...


South Green collaborators[The South Green Portal: a comprehensive resource for tropical and Mediterranean crop genomics]The South Green Portal: a comprehensive resource for tropical and Mediterranean crop genomics

Data is presented from an in-depth analysis of the HSP70 family in the non-model banana during osmotic stress [1]. First, a manual curation of HSP70 sequences from the banana genome was performed and updated on the Musa hub http://banana-genome.cirad.fr/. These curated protein sequences were then...


Vanhove, A.C.Vermaelen, W.Cenci, A.Swennen, R.L.Carpentier, S.C.[Data for the characterization of the HSP70 family during osmotic stress in banana, a non-model crop.]Data for the characterization of the HSP70 family during osmotic stress in banana, a non-model crop.
Renisha, M.Parameswaran, N.K.Rajeevan, P.K.Zucker, J.Sthapit, B.R.[A preliminary appraisal of mango biodiversity in Kerala, India]A preliminary appraisal of mango biodiversity in Kerala, India
Wijk, Mark T. vanHammond, JamesGorman, LeoAdams, SamAyantunde, Augustine A.Baines, DavidBolliger, AdrianBosire, Caroline K.Carpena, PietroChesterman, SabrinaChinyophiro, AmonDaudi, HappyDontsop, PaulDouxchamps, SabineEmera, Willy DesireFraval, SimonFonte, StevenHok, LydaKiara, Henry K.Kihoro, EstherKorir, LukeLamanna, ChristineLong, Chau T. M.Manyawu, Godfrey J.Mehrabi, ZiaMengistu, Dejene K.Mercado, LeidaMeza, KatherinMora, VesalioMutemi, JacobNg’endo, MaryNjingulula, PaulinOkafor, ChrisPagella, TimPhengsavanh, PhonepaseuthRao, E.J.O.Ritzema, Randall S.Rosenstock, Todd S.Skirrow, TomSteinke, JonathanStirling, ClareSuchini, Jose GabrielTeufel, NilsThorne, Peter J.Vanek, StevenEtten, Jacob vanVanlauwe, BernardWichern, JannikeYameogo, Viviane[The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries.]The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries.

Assessments of agricultural productivity and food security require process-based crop models to provide predictions of yields and diagnose past variations in the context of anthropogenic and climate factors. These models need detailed meteorological data as input, including precipitation, tempera...


Sheffield JChaney N[Developing high-quality meteorological data for East and West Africa from merged sources]Developing high-quality meteorological data for East and West Africa from merged sources

Pfeifer, CatherineMorris, JoanneMose, Victor[Tools not toys: CLEANED livestock environment app transforms data to decisions]Tools not toys: CLEANED livestock environment app transforms data to decisions

Fava, Francesco P.[Earth observation applications in Index-based Livestock Insurance (IBLI): Challenges and opportunities]Earth observation applications in Index-based Livestock Insurance (IBLI): Challenges and opportunities

Around the world, a small number of plant species serve as the primary source of food for the human population, yet these crops are vulnerable to multiple stressors, such as diseases, nutrient deficiencies and unfavorable environmental conditions. Traditional breeding methods for plant improvemen...


Jaiswal, P.Cooper, L.Elser, J.L.Meier, A.Laporte, M-A.Mungall, C.Smith, B.Johnson, E.K.S.Seymour, M.Preece, J.Xu, X.Kitchen, R.S.Qu, B.Zhang, E.Arnaud, ElizabethCarbon, S.Todorovic, S.Stevenson, D.W.[Planteome: A resource for common reference ontologies and applications for plant biology]Planteome: A resource for common reference ontologies and applications for plant biology

The Crop Ontology is a service of the Integrated Breeding Platform (www.integratedbreeding.net) in collaboration with the CGIAR and partners and under the leadership of Bioversity international. The Crop Ontology (www.cropontology.org) provides harmonized and validated breeders’ trait names, mea...


Arnaud, ElizabethValette, L.Pietragalla, J.Laporte, M-A.Aubert, C.Devare, MedhaMcLaren, G.Ribaut, J-M.[The Crop Ontology: a source of standard traits and variables for breeding and agronomy]The Crop Ontology: a source of standard traits and variables for breeding and agronomy

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