文章基本信息

标题：Phenotypic correlation network analysis of garlic variables
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作者：Anderson Rodrigo da Silva ; Paulo Roberto Cecon ; Mário Puiatti 等
期刊名称：Multi-Science Journal
电子版ISSN：2359-6902
出版年度：2015
卷号：1
期号：3
页码：9-12
DOI：10.33837/msj.v1i3.99
出版社：Instituto Federal Goiano
摘要：In this paper we applied weighted correlation networks in order to discover correlation structures and link patterns of sixteen garlic variables related to leaf, bulb and other vegetative and growth variables. By using the Fruchterman-Reingold algorithm, correlation clusters and other structures could be easily identified. Overall, we detected a link between clusters of leaf and bulb variables. The harvest index was negatively associated with vegetative variables, as expected. In addition, bulb growth rate was positively associated with leaf area rate, root growth rate and plant liquid assimilation rate.
其他摘要：In this paper we applied weighted correlation networks in order to discover correlation structures and link patterns of sixteen garlic variables related to leaf, bulb and other vegetative and growth variables. By using the Fruchterman-Reingold algorithm, correlation clusters and other structures could be easily identified. Overall, we detected a link between clusters of leaf and bulb variables. The harvest index was negatively associated with vegetative variables, as expected. In addition, bulb growth rate was positively associated with leaf area rate, root growth rate and plant liquid assimilation rate.
关键词：Allium sativum L.; correlation matrix; covariance; plant breeding