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Classification of variety musts by statistical analysis of their electrophoretic protein pattern

Authors :
González-Lara, R.
Correa, I.
Polo, María Carmen
Martín-Álvarez, Pedro J.
Ramos González, María Mercedes
González-Lara, R.
Correa, I.
Polo, María Carmen
Martín-Álvarez, Pedro J.
Ramos González, María Mercedes
Publication Year :
1989

Abstract

Unsupervised classification techniques (Principal Components Analysis and Cluster Analysis) have been applied to electrophoretic analytical data from seventeen grape must samples of six different cultivars. A good grouping of samples according to their cultivar has been obtained.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1293837457
Document Type :
Electronic Resource