scholarly journals Identification of Phenotypic Characteristics in Three Chemotype Categories in the Genus Cannabis

HortScience ◽  
2021 ◽  
Vol 56 (4) ◽  
pp. 481-490
Author(s):  
Dan Jin ◽  
Philippe Henry ◽  
Jacqueline Shan ◽  
Jie Chen
Keyword(s):  
Correlation Analysis ◽  
Botrytis Cinerea ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Morphological Traits ◽  
Principal Component ◽  
Phenotype Markers ◽  
Morphological Differences ◽  
Deep Green ◽  
Resistance Traits

Modern Cannabis cultivars are morphologically distinguished by their leaflet shapes (wide for “Indica” and narrow for “Sativa”) by users and breeders. However, there are no scientific bases or references for determining the shape of these leaflets. In addition, these two categories contained mostly THC dominant (high THC) cultivars while excluded CBD dominant (high CBD) and intermediate (intermediate level of both THC and CBD) cultivars. This study investigated the phenotypic variation in 21 Cannabis cultivars covering three chemical phenotypes, referred to as chemotypes, grown in a commercial greenhouse. Thirty morphological traits were measured in the vegetative, flowering, and harvest stages on live plants and harvested inflorescences. The collected data were subjected to correlation analysis, hierarchical clustering, principal component analysis, and canonical correlation analysis with preassigned chemotypes. Canonical correlation analysis assigned individual plants to their chemotypes with 92.9% accuracy. Significant morphological differences were identified. Traits usable as phenotype markers for CBD dominant cultivars included light-green and narrow leaflets, a greater number of primary and secondary serrations, loose inflorescences, dense and resinous trichomes, and Botrytis cinerea resistance. Traits for intermediate cultivars included deep-green and medium-wide leaflets, more primary and secondary serrations, medium compact inflorescences, trichomes that are less dense and less resinous, and Botrytis cinerea resistance. Traits for THC dominant cultivars included deep-green and wide leaflets, large and compact inflorescences, dense and resinous trichomes, and Botrytis cinerea susceptibility. The results of this study provide a comprehensive profile of morphological traits of modern Cannabis cultivars and provides the first such profile for CBD dominant and intermediate cultivars. Additionally, this study included the traits of inflorescences, which have not been compared between three chemotypes in the literature. Phenotype markers identified in this study can facilitate preliminary cultivar identification and selection on live plants before or as a supplement to chemical and genetic analysis.

scholarly journals Analysis of Soil-Vegetation Interrelationships in a South-Southern Secondary Forest of Nigeria

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
D. D. Eni ◽  
A. I. Iwara ◽  
R. A. Offiong
Keyword(s):  
Organic Matter ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
State Government ◽  
Canonical Correlation ◽  
Secondary Forest ◽  
Principal Component ◽  
Tree Density ◽  
Tree Size ◽  
Canonical Variate

Soil-vegetation interrelationships in a secondary forest of South-Southern Nigeria were studied using principal component analysis (PCA) and canonical correlation analysis (CCA). The grid system of vegetation sampling was employed to randomly collect vegetation and soil data from fifteen quadrats of 10 m × 10 m. PCA result showed that exchangeable sodium, organic matter, cation exchange capacity, exchangeable calcium, and sand content were the major soil properties sustaining the regenerative capacity and luxuriant characteristics of the secondary forest, while tree size and tree density constituted the main vegetation parameters protecting and enriching the soil for its continuous support to the vegetation after decades of anthropogenic disturbance (food crop cultivation and illegal logging activities) before its acquisition and subsequent preservation by the Cross River State government in 2003. In addition, canonical correlation analysis showed result similar to PCA, as it indicated a pattern of relationship between soil and vegetation. The only retained canonical variate revealed a positive interrelationship between organic matter and tree size as well as an inverse relationship between organic matter and tree density. These extracted soil and vegetation variables are indeed significantly important in explaining soil-vegetation interrelationships in the highly regenerative secondary forest.

scholarly journals Multiway generalized canonical correlation analysis

Biostatistics ◽  
2020 ◽  
Author(s):  
Arnaud Gloaguen ◽  
Cathy Philippe ◽  
Vincent Frouin ◽  
Giulia Gennari ◽  
Ghislaine Dehaene-Lambertz ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Principal Component ◽  
Least Squares Regression ◽  
Analysis Framework ◽  
Convergence Properties ◽  
Human Infants ◽  
Generalized Canonical Correlation Analysis ◽  
Cognitive Study

Summary Regularized generalized canonical correlation analysis (RGCCA) is a general multiblock data analysis framework that encompasses several important multivariate analysis methods such as principal component analysis, partial least squares regression, and several versions of generalized canonical correlation analysis. In this article, we extend RGCCA to the case where at least one block has a tensor structure. This method is called multiway generalized canonical correlation analysis (MGCCA). Convergence properties of the MGCCA algorithm are studied, and computation of higher-level components are discussed. The usefulness of MGCCA is shown on simulation and on the analysis of a cognitive study in human infants using electroencephalography (EEG).

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