Plant breeding software background and evolution
Plant Breeding Software & Research software for the Seed Industry
Agriculture is strongly dependent on biological innovation. With nearly 10 thousand new plant varieties registered every year at the UPOV, the seed industry constantly responds to the expectations of society, and contributes to the development of sustainable agriculture. Developing new varieties is a long-term endeavor that may take 15 years, and thousands of field experiments, in order to obtain seeds with specific yield, resistance and quality traits.
Breeding involves many research activities sharing the same living material in various teams, locations and contexts (phenotypic or genetic, history or forecast…). Every researcher has his own way to study the plants and uses specific tools to prepare its experiments, manage processes of its activity and analyze data. Such projects require much investment in terms of human, financial and time resources, and there is much to gain in centralizing data and processes in a plant breeding software and making the most of researchers and experiments.
Breeding departments are doing their best to obtain new varieties faster, and varieties that bring significant improvement. Increasing competitiveness leads breeders in a race for the latest technologies, and the largest network of experiments, which brings about huge amounts of data, and the necessity of centralized tools to make the most of these data.
For 25 years, Doriane’s expertise has been meeting the technological expectations of the seed industry, issuing innovations every year and constantly improving its plant breeding software. Our turnkey IT systems and tailored services for research departments promote knowledge transfer between researchers, which appeals to decision-makers from breeding companies in Europe, Canada, Brazil, China…
Enabling Real time data management, RnDExperience™ plant breeding software suite constitutes a visible and measurable return on investment on research information technology. With this tool, researchers can manage experiment cycles, in order to define experiment protocols that take into account other activities connected with breeding.