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Opoola, O.Mrode, Raphael A.Banos, G.Ojango, Julie M.K.Banga, C.Chagunda, M.G.G.[Current situations of animal data recording, dairy improvement infrastructure, human capacity and strategic issues affecting dairy production in sub-Saharan Africa]Current situations of animal data recording, dairy improvement infrastructure, human capacity and strategic issues affecting dairy production in sub-Saharan Africa

The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through t...


Jiménez, DanielDelerce, SylvainDorado, Hugo AndresCock, JamesMuñoz, Luis ArmandoAgamez, AlejandroJarvis, Andy[A scalable scheme to implement data-driven agriculture for small-scale farmers]A scalable scheme to implement data-driven agriculture for small-scale farmers

Recent successes in the conventional cross-breeding of plantains and cooking bananas by genetic improvement programmes will inevitably lead to an increase in the number of new clones that require testing before release to farmers. In most cases testing focused on disease resistance and yield but ...


Korie, S.Walker, P.Ortiz, R.Vuylsteke, D.R.Ferris, R.S.B.[Statistical tools to evaluate sensory data fro testing fruit quality of Musa]Statistical tools to evaluate sensory data fro testing fruit quality of Musa

This paper analyzes two insect-related sets of agricultural field data. Both comprise spatially referenced count data sampled on a series of occasions. One concerns carabids (ground beetles) in cereals, the other the incidence and spread of an aphid-vectored virus disease of lupins. For both sets...


Korie, S.Perry, J.N.Mugglestone, M.A.Clark, S.J.Thomas, C.F.Mohamad Roff, M.[Spatiotemporal associations in beetle and virus count data]Spatiotemporal associations in beetle and virus count data

Modern genomic breeding methods rely heavily on very large amounts of phenotyping and genotyping data, presenting new challenges in effective data management and integration. Recently, the size and complexity of datasets have increased significantly, with the result that data is often stored on m...


Selby, P.Abbeloos, R.Backlund, J.E.Guignon, V.Laporte, M-A.Rouard, M.[BrAPI - an application programming interface for plant breeding applications]BrAPI - an application programming interface for plant breeding applications
Remmerie, N.Vijlder, T. deValkenborg, D.Laukens, K.Smets, K.Vreeken, J.Mertens, I.Carpentier, S.C.Panis, B.Jaeger, G. deBlust, R.Prinsen, E.Witters, E.[Unraveling tobacco BY-2 protein complexes with BN PAGE/LC-MS/MS and clustering methods]Unraveling tobacco BY-2 protein complexes with BN PAGE/LC-MS/MS and clustering methods

The goal of this paper is to highlight the use and interpretation of statistical techniques that account for correlation in epidemiological data. A conceptual statistical background is provided, and the main types of regression models for correlated data are highlighted. These models include marg...


Schukken, Y.H.Grohn, Y.T.McDermott, B.McDermott, John J.[Analysis of correlated discrete observations: Background, examples and solutions]Analysis of correlated discrete observations: Background, examples and solutions
Buza, T.M.Tonui, TrizaStomeo, FrancescaTiambo, Christian K.Katani, R.Schilling, M.Lyimo, B.Gwakisa, P.Cattadori, I.M.Buza, J.Kapur, V.[iMAP: An integrated bioinformatics and visualization pipeline for microbiome data analysis]iMAP: An integrated bioinformatics and visualization pipeline for microbiome data analysis

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

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