WORLD CLASS data analysis software, data management and training
Discuss your needs with us and we will provide a SOLUTION for you
Process large data sets quickly, SAVING YOUR TIME AND MONEY
Humans have cultivated sugarcane for centuries, and in the 21st century, experts, breeders, farmers and scientists are looking for ways to make this globally-renowned crop work better for them. The only way to achieve this is through rigorous study and experimentation methods which invariably produce large amounts of data to be processed and analysed.
VSN International (VSNi) was founded in 2000 to distribute some of the world’s most powerful tools for analysing data. A spin-off of Rothamsted Research, considered by many as the birthplace of statistical analysis, VSNi has developed and perfected its software packages over several decades.
An all-encompassing software suite, and one of the most popular statistical analytics packages for agriculture and bioscience in over 60 countries.
- Reduce costs by minimising process variation and reducing rework
- Use visual statistics to select the best species to suit your area
- Ready-to-use software with user-friendly interfaces means that users ranging from beginner to advanced can navigate the software with ease
A remarkable tool that fits linear mixed models using Residual Maximum Likelihood (REML), and is capable of processing large and complex data sets.
- Analyse your field and crop data to select the species with the highest yield for maximum results
- Powerful package for large data sets and complex methods
- Mixed model analysis coupled with visually impressive designs increase the efficiency and coherency of your findings
The Integrated Breeding Platform (IBP) is a comprehensive and user-friendly software suite designed to help breeders conduct their routine activities quickly and efficiently.
- Manage all the steps of the sugarcane breeding season
- Analyse your field and lab data with efficient and visual Statistics
- Cross selected germplasm based on genetic values by complementing phenotypic selection with marker technology