Case Study: KWS improves agricultural data analysis with Genstat from VSN International

A VSN International Case Study

Preview of the KWS Case Study

KWS supplying seeds to the farming industry

KWS, a leading global supplier of seeds to the farming industry, required a data analysis solution for its plant breeding research that offered sound statistics, precision, and security. Their challenge involved finding software to handle complex experimental designs and large datasets more efficiently than their previous tools. They turned to vendor VSN International and implemented their product, Genstat.

VSN International's Genstat provided a powerful solution with its advanced REML algorithm for analyzing multi-level models and handling missing data. This integration streamlined KWS's data analyses, reducing calculation time by at least 70%. Genstat's efficient data handling also decreased necessary pre-processing time by 30%. The solution provided KWS researchers with a trusted and powerful analysis tool perfectly suited to the demands of agricultural science.


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KWS


VSN International

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