Open AccessChemometric characterization and classification of new wheat genotypes
Author(s) -
Filip Kraic,
Ján Mocák,
T. Roháčik,
Jana Sokolovičová
Publication year - 2021
Publication title -
nova biotechnologica et chimica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.212
H-Index - 9
eISSN - 1339-004X
pISSN - 1338-6905
DOI - 10.36547/nbc.1293
Subject(s) - principal component analysis , linear discriminant analysis , statistics , chemometrics , industrial chemistry , statistical analysis , pattern recognition (psychology) , microbiology and biotechnology , mathematics , artificial intelligence , machine learning , computer science , biochemical engineering , engineering , biology
The final goal of this work is development of new genotypes of wheat with better properties compared to the standard set. Prediction of optimal descriptors and properties related to the production characteristics is performed using several statistical and chemometrical tools, like correlation analysis, principal component analysis, cluster analysis and linear discriminant analysis. Optimisation of wheat genotypes is directed towards high food quality.