University of Nigeria Nsukka – Nigeria
Department of Physics and Astronomy – University of Catania – Italy
Eng. Mario TORRISI
Prof. Roberto BARBERA
PLANTISC-2: Development of a SGW-based Plant Tissue Culture Micropropagation Yield Forecasting Application
Plant tissue culture is a collection of techniques used to maintain or grow plant cells, tissues or organs under sterile conditions on a nutrient culture medium of known composition. Plant tissue
culture is widely used to produce clones of a plant in a method known as micropropagation. During the UNESCO-HP Brain Gain Initiative (BGI) project (2009-2013), the University of Nigeria team conducted series of plant tissue culture experiments and developed a stand-alone application, Plantisc. A Plant Tissue Culture micro propagation simulation software, which achieved over 67% predication accuracy whose result was published in a peer-reviewed journal.
PLANTISC-2 is a simulation application that predicts the desired hormonal combinations using provided input data. A two variable multi-Regression is used for the prediction.
For storing and retrieving medical images, PLANTISC-2 adopted the Sci-GaIA Open Access Repository (OAR), in which specific sub-categories have been created for the use case. A DataCite-issued Digital Object Identifier (DOI) is automatically assigned by the OAR to each image to improve its findability, discoverability and reusability.
For processing medical images, the PLANTISC-2 Science Gateway is connected to a FutureGateway API Server – developed in the context of the INDIGO-DataCloud project – which seamlessly executes jobs on local, Grid and Cloud resources belonging to the Africa & Arabia Regional Operation Centre.
The PLANTISC-2 Science Gateway is a Service Provider of the GrIDP “catch-all” Identity Federation.