Crop Sci. Forest Meteor. KWS: supplying seeds to the farming industry. KWS value precision and security For centuries people have been breeding plants, trying to fine-tune individual plants to obtain or change a particular trait. Today plant breeders look at addressing concerns such as drought or environment tolerance, pesticide, herbicide, fungi or bacteria tolerance, improving nutritional value or increasing yields. However, one thing is very apparent: the scientists engaged in any form of plant breeding need to be sure their data analysis is based on sound, solid and secure statistics.
The research and development teams at KWS focus on yield, seed quality, resistance to disease and pests, enhancing the nutrient quality and improved processing capability of the plants. Recently the researchers at KWS decided to change their data analysis software portfolio by introducing Genstat. During the last several years the main emphasis was put on establishing Genstat for statistical analysis of phenomic data from their field.
Genstat was chosen, because it was possible to analyse data from trials with large Alpha Designs with the REML techniques. REML itself can be used to analyse models with several types of error variation multi-level models and to fit models to correlated data like repeated measurements. This allows the flexible addition of new statistical methods into the pipelines. Genstat allows the researchers to easily design and analyse these and other types of experiments.
Genstat also effortlessly handles large and complex data sets, which will be essential for the analysis of genomic data and their association with phenomic informations. As well as the extensive technical capabilities of Genstat, KWS chose Genstat because of its history within agricultural science and research; it was originally designed by statisticians working on agricultural research at Rothamsted Research; where Fisher, Yates and Nelder to mention but 3 developed statistical techniques that are central to modern statistics.
Developments in each new version of Genstat reflect the needs of the agricultural scientist, including ANOVA, design of experiments a host of multivariate analysis techniques and linear mixed model analysis.
A huge variety and complexity of data analysis is possible in Genstat, and an understanding of the requirements of experiments in this area is reflected in the terminology and thinking behind Genstat. Coupled with the power and background of Genstat, VSNi were able to provide a bespoke consultancy service to KWS to assist with their specific needs; this is possible because our developers have been working with agricultural researchers and statistics for years.
The VSNi statisticians were able to talk to the researchers at KWS, in their language to find more efficient ways to run their analyses. In a subject area that demands precision and security Genstat provides the data analysis solution that removes the unknowns surrounding the research.
You can trust the statistics within Genstat, because it is developed by people who know and understand the issues in agricultural research today. Food Standards Agency: safer food for the nation. We aim to ensure that food produced or sold in the UK is safe to eat, consumers have the information they need to make informed choices about where and what they eat and that regulation and enforcement is risk-based and focused on improving public health.
Exposure Assessment There are many types of chemical whose presence in food can pose some level of risk for consumers. These include environmental contaminants e. The FSA needs to estimate the likely level of human exposure to such chemicals, either from individual foods, or from the diet as a whole. Our exposure assessment models combine occurrence data on the level of a given contaminant in foods with extensive human intake data from individual food diaries.
Genstat provides excellent tools for the necessary data import, indexing, manipulation and analysis and produces fast, reliable results. It has the flexibility to perform more complex modelling when required: e. These estimates are used to prioritise biotoxin sampling activity around the shores of the UK, indicating where, and at what times of year, the level of sampling should be raised, and also where and when it can be reduced.
Genstat has excellent procedures for performing models of this kind and for extracting model coefficients in a form that can be used to make a range of policy-relevant inferences. View all. Genstat Resources. Knowledge Base How to use Genstat. From the Help menu select the License Details… item. A: Make sure that you have permissions to save files in the directory where GenStat Discovery is installed. This is most likely to be the case on Microsoft Windows Vista. If you do not have permissions, get a System Administrator to install the license for you.
GenStat Discovery licenses. Installing a Discovery Edition license If you have registered your use of the GenStat Discovery Edition you will receive a new license. When you receive your license you can install it as follows: 1. Start your copy of GenStat Discovery Edition.
Click on the Install License… button. A dialog box will appear as follows: 5. To install the license choose one of the following 2 methods: A. If the license is installed successfully you will see a confirmation dialog as follows: B. If the license is installed successfully you will see a confirmation dialog as follows: 6. This site uses cookies to improve your experience. Read more.
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