Application of Multivariate Statistical Methods in Wheat Quality Monitoring

Authors

  • I. Švec Department of Carbohydrate Chemistry and Technology, Institute of Chemical Technology, Prague;
  • M. Hrušková Department of Carbohydrate Chemistry and Technology, Institute of Chemical Technology, Prague;
  • O. Jirsa Agricultural Research Institute, Kroměříž

Abstract

At present the use of multivariate statistical methods for prediction of quality profile of commercial wheat becomes very interesting. The article describes the results of statistical analysis based on comparison of commercial wheat with wheat cultivars of the exactly defined quality. Effects of the crop year and planting locality on technological quality of wheat were also evaluated. An assessment of quality profile of wheat from three areas was performed.

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Published

2009-03-15

How to Cite

Švec, I., Hrušková, M., & Jirsa, O. (2009). Application of Multivariate Statistical Methods in Wheat Quality Monitoring. Chemické Listy, 103(2). Retrieved from http://chemicke-listy.cz/ojs3/index.php/chemicke-listy/article/view/1576

Issue

Vol. 103 No. 2 (2009)

Section

Articles