{"title":"小麦新基因型的化学计量学特征及其分类","authors":"F. Kraic, J. Mocák","doi":"10.36547/nbc.1293","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":19210,"journal":{"name":"Nova Biotechnologica et Chimica","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Chemometric characterization and classification of new wheat genotypes\",\"authors\":\"F. Kraic, J. Mocák\",\"doi\":\"10.36547/nbc.1293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":19210,\"journal\":{\"name\":\"Nova Biotechnologica et Chimica\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nova Biotechnologica et Chimica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36547/nbc.1293\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nova Biotechnologica et Chimica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36547/nbc.1293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Chemometric characterization and classification of new wheat genotypes
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.
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