小麦新基因型的化学计量学特征及其分类

Q4 Agricultural and Biological Sciences
F. Kraic, J. Mocák
{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}
引用次数: 9

摘要

这项工作的最终目标是开发与标准集相比具有更好性能的新基因型小麦。利用相关分析、主成分分析、聚类分析和线性判别分析等几种统计和化学计量工具,对与生产特征相关的最佳描述符和属性进行预测。小麦基因型的优化是为了提高食品质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nova Biotechnologica et Chimica
Nova Biotechnologica et Chimica Agricultural and Biological Sciences-Food Science
CiteScore
0.60
自引率
0.00%
发文量
47
审稿时长
24 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信