Agriculture
GenStat for Agriculture
The Agricultural industry is of major ecological, economic, and social importance. With the population increasing and agricultural land decreasing it is essential to find ways to sustain and promote the production of plants and animals for human use. Even the supermarkets are finally jumping on the sustainable agriculture band wagon (or should that be tractor). There are some of us however who have been aware of the importance and commercial viability of agriculture for sometime. GenStat software was born and bred in the agricultural field and we’ve stayed loyal to our users. Over the years, as sciences become more interdisciplinary, GenStat took the cue and branched out to embrace all bio and life sciences: areas we remain deeply committed to.
Why GenStat?
As the only company of its kind to concentrate on the life sciences, VSNi are ideally placed to help you reach your goals quickly, efficiently and perhaps most important, accurately. With a growing awareness that new technologies can support and often accelerate results, GenStat provides all the tools you need to bring viable results from your agricultural data analyses.
- Analyse large, complex datasets easily and efficiently
- Assist in defining factors that affect your research
- Define key traits to help you discover & create new methods of regeneration
- Discover patterns in vast sets of data
- Determine risk factors
- Examine traits of agro-economic importance
- Assist in increasing yield and produce
- Integrate agricultural and climatic data
With thousands of analyses, procedures and directives a single page isn’t nearly enough to show off GenStat. The following is but a small example of some of the possibilities; to gauge the full potential why not try GenStat for yourself?
- Design experiments and plan monitoring systems
- Analysis of variance to compare varieties and trends
- REML facilities to model spatial patterns
- Hierarchical generalized linear models to evaluate random effects
- Identify patterns in data by means of PCA, cluster analysis and much more
- GLMM appropriate for analysis uncorrelated residuals
- Easy data uploads to produce an array of visual data and graphics
- Allows integration between agri and climatic communities
Today those who work within agriculture must be knowledgeable in general biology, botany, genetics, soil science, climatology, hydrology, economics and forest management. We understand this and GenStat is tailored to suit all such disciplines. Our role is to support you in achieving your goals and as such promise to deliver yearly updates guided by your input along with an unparalleled level of support for the agricultural fields.
“Agriculture not only gives riches to a nation, but the only riches she can call her own” Samuel Johnson
