Sexual Differentiation ofOctopus hubbsorum(Mollusca: Cephalopoda) Using Body Dimensions and the Shape and Size of the Stylets: A Traditional and Geometric Morphometric Analysis

2016 ◽  
Vol 33 (2) ◽  
pp. 177-184
Author(s):  
Alejandra López-Galán ◽  
María del Carmen Alejo-Plata
Keyword(s):  
Morphometric Analysis ◽  
Sexual Differentiation ◽  
Geometric Morphometric ◽  
Body Dimensions ◽  
Geometric Morphometric Analysis ◽  
Shape And Size

scholarly journals Geometric morphometric analysis of spore shapes improves identification of fungi

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0250477
Author(s):  
Alexander Ordynets ◽  
Sarah Keßler ◽  
Ewald Langer
Keyword(s):  
Species Identification ◽  
Morphometric Analysis ◽  
Fungal Spores ◽  
Principal Component ◽  
Test System ◽  
Linear Measurements ◽  
Geometric Information ◽  
Geometric Morphometric ◽  
Geometric Morphometric Analysis ◽  
Shape And Size

Morphology of organisms is an essential source of evidence for taxonomic decisions and understanding of ecology and evolutionary history. The geometric structure (i.e., numeric description of shape) provides richer and mathematically different information about an organism’s morphology than linear measurements. A little is known on how these two sources of morphological information (shape vs. size) contribute to the identification of organisms when implied simultaneously. This study hypothesized that combining geometric information on the outline with linear measurements results in better species identification than either evidence alone can provide. As a test system for our research, we used the microscopic spores of fungi from the genus Subulicystidium (Agaricomycetes, Basidiomycota). We analyzed 2D spore shape data via elliptic Fourier and principal component analyses. Using flexible discriminant analysis, we achieved the highest species identification success rate for a combination of shape and size descriptors (64.7%). The shape descriptors alone predicted species slightly better than size descriptors (61.5% vs. 59.1%). We conclude that adding geometric information on the outline to linear measurements improves the identification of the organisms. Despite the high relevance of spore traits for the taxonomy of fungi, they were previously rarely analyzed with the tools of geometric morphometrics. Therefore, we supplement our study with an open access protocol for digitizing and summarizing fungal spores’ shape and size information. We propagate a broader use of geometric morphometric analysis for microscopic propagules of fungi and other organisms.

scholarly journals Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population

2020 ◽  
Vol 53 (3) ◽  
pp. 378-378
Author(s):  
Choy Ker Woon ◽  
Nurul Aiman Abu Jamal ◽  
Muhamad Nasim Ilmi Mohd Noor ◽  
Syiral Mastura Abdullah ◽  
Nurjehan Mohamed Ibrahim ◽  
...  
Keyword(s):  
Morphometric Analysis ◽  
Geometric Morphometric ◽  
Malaysian Population ◽  
Lateral Cephalograms ◽  
Geometric Morphometric Analysis

scholarly journals Application of Three Dimensional Geometric Morphometric Analysis for Sexual Dimorphism of Human Skull: A Systematic Review

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Abdelnasser Ibrahim ◽  
Aspalilah Alias ◽  
Mohamed Swarhib Shafie ◽  
Faridah Mohd Nor
Keyword(s):  
Systematic Review ◽  
Sexual Dimorphism ◽  
Morphometric Analysis ◽  
Meta Analysis ◽  
Positive Contribution ◽  
Inclusion Criteria ◽  
Geometric Morphometric ◽  
Human Skull ◽  
Geometric Morphometric Analysis

The present systematic review explores the most sexually dimorphic parameters by using geometric morphometric analysis of human skull. An extended search was conducted in Google Scholars and PubMed (published between 2005 and 2017). The main inclusion criteria were research articles published in English, and studies that used geometric morphometric analysis for classification of human skull. The literature search identified 54 potential relevant articles whereby, five had met the inclusion criteria. Most studies reported positive contribution of geometric morphometric as an alternative and accurate tool for classification of unknown human crania. Geometric morphometric method resulted in a high classification accuracy of sexual dimorphism among different populations. Further studies are required to approach the best method used for varied types of postcranial bones equipped with a more advanced meta-analysis of the results.

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