Sexing Fledglings and Yearlings of Magellanic Penguins by Discriminant Analysis of Morphometric Measurements

1987 ◽  
Vol 10 (1) ◽  
pp. 50 ◽  
Author(s):  
Jose Alejandro Scolaro
Keyword(s):  
Discriminant Analysis ◽  
Morphometric Measurements ◽  
Magellanic Penguins

scholarly journals Morphometric measurements for sexual dimorphism in the Campolina horse breed

2021 ◽  
Vol 56 ◽  
Author(s):  
Lisia Castro Krebs ◽  
Marina Monteiro de Moraes Santos ◽  
Maria Claudia Siqueira ◽  
Brennda Paula Gonçalves de Araujo ◽  
Leonardo Gomes Oliveira ◽  
...  
Keyword(s):  
Sexual Dimorphism ◽  
Discriminant Analysis ◽  
Sexual Differentiation ◽  
Analysis Of Covariance ◽  
Classification Error ◽  
Horse Breed ◽  
Linear Measurements ◽  
Morphometric Measurements ◽  
Classification Errors ◽  
Angular Measurements

Abstract: The objective of this work was to distinguish the sexual dimorphism of horses of the Campolina breed, by morphometric measurements, and to classify them according to sex, using discriminating functions. Two-hundred and fifteen horses were measured, and 39 morphometric measurements were evaluated. The analysis of covariance and the discriminant analysis were performed. Males were taller and showed a wider chest, a greater scapular-humeral angle, and a larger neck, both in length and circumference. Females had a larger heart girth, wider hips, and a greater opening of the coxal-ground and femorotibial angles. Regarding classification, circumference measurements (85.58%) were more accurate in sexual differentiation than the linear (83.26%) and angular (73.02%) ones. As to classification error, of the total animals measured, 10 to 20% of the females were categorized as males. In addition, 11 to 38% of the males were categorized as females. It can be concluded that of the 39 morphometric measurements evaluated, 22 are responsible for sexual dimorphism in the Campolina horse breed. Circumference and linear measurements provide a more assertive classification to determine sexual dimorphism. Angular measurements show greater classification errors regarding the gender of the horses.

Discriminating among similar deep-seaYoldiella(Pelecypoda: Protobranchia) species with a morphometric approach

2011 ◽  
Vol 91 (8) ◽  
pp. 1665-1672 ◽  
Author(s):  
Natalia Pereira Benaim ◽  
Ricardo Silva Absalão
Keyword(s):  
Discriminant Analysis ◽  
Continental Slope ◽  
Rio De Janeiro ◽  
Input Data ◽  
The Other ◽  
Shell Shape ◽  
Species Discrimination ◽  
Morphometric Measurements ◽  
Hinge Plate ◽  
Good Potential

Eight species ofYoldiella(Yoldiella biguttataAllen, Sanders & Hannah, 1995;Yoldiella similisAllen, Sanders & Hannah, 1995;Yoldiella extensaAllen, Sanders & Hannah, 1995;Yoldiellaaff.jeffreysi(Hidalgo, 1877);Yoldiellasp.1;Yoldiellasp. 2;Yoldiellasp. 3 andYoldiellasp. 4) from the continental slope off Rio de Janeiro were used to test if quantitative morphometric measurements of shell shape and hinge plate could effectively discriminate among them. Thirty specimens of each species were sampled, and a total of 25 variables were established and utilized as input data to perform a discriminant analysis. The percentage of correctly classified cases was never less than 80%. The hinge plate variables were always relevant, and the most important one was the width of the posterior hinge plate. On the other hand, shell shape variables, when present, were secondary. Considering that the variation in the shell ofYoldiellaspecies is subtle, and also the findings of this study, we can state that the hinge plate morphometry has good potential to improve species discrimination.

scholarly journals Use of discriminant analysis method to identify sex by morphological traits in adult rabbits in Nigeria

2020 ◽  
Vol 53 (4) ◽  
pp. 183-186
Author(s):  
Emmanuel Abayomi Rotimi ◽  
Maryam Hassana Ati
Keyword(s):  
Body Weight ◽  
Discriminant Analysis ◽  
Morphological Traits ◽  
Univariate Analysis ◽  
Canonical Discriminant Analysis ◽  
Abdominal Circumference ◽  
Analysis Method ◽  
Morphometric Measurements ◽  
Discriminant Analysis Method ◽  
Sex Assessment

AbstractSex assessment plays an important role in rabbit production, but it can be very difficult to determine, especially in the young ones. In this study, canonical discriminant analysis was used to determine which of the morphological traits are the most effective in sex determination in rabbits. Data were taken on 160 rabbits and used for this study on body weight (BWG), body length (BDL), ear length (EAL), heart girth (HTG), and abdominal circumference (ABC). The results from the univariate analysis show manifestation of sexual dimorphism with higher values observed in females for all the morphometric measurements. The canonical discriminant analysis revealed that ABC was the most significant morphological trait as a discriminating variable between the sexes in rabbits. The discriminant function, D = – 8.673 + 1.865 BWG + 0.013 BDL + 0.291 EAL – 0.318 HTG + 0.463 ABC, obtained correctly classified 72.5% of individuals of rabbits. In conclusion, the abdominal circumference of the rabbits in a population could be an important tool for the conservation and improvement of the rabbits’ population.

scholarly journals Intra- and interspecific discrimination of Scorpaena species from the Aegean, Black, Mediterranean and Marmara seas

2021 ◽  
Vol 85 (3) ◽  
pp. 197-209
Author(s):  
Serdar Yedier ◽  
Derya Bostanci
Keyword(s):  
Discriminant Analysis ◽  
Principal Components Analysis ◽  
Analysis Of Variance ◽  
Principal Components ◽  
Canonical Discriminant Analysis ◽  
Species Level ◽  
Morphometric Traits ◽  
Morphometric Measurements ◽  
Morphometric Characters ◽  
Components Analysis

This study was conducted to discriminate five Scorpaena species and populations of each species according to morphometric characters. A total of 1865 fish specimens were collected from the eight locations in the four Turkish seas: Antalya, Balıkesir, Çanakkale, Hatay, İzmir, Marmara Ereğlisi, Ordu and Şile. In the study, 26 morphometric traits were measured for intra- and interspecific discrimination of five Scorpaena species. The data were subjected to analysis of variance, principal components analysis (PCA) and canonical discriminant analysis. As results of the PCA, 10 traits for S. maderensis and S. scrofa, 12 traits for S. elongata and 13 traits for S. notata and S. porcus were found to be important for intraspcific discrimination. The overall classification scores of intraspecific discrimination were determined as 94.6% for S. elongata, 90.5% for S. maderensis, 96.7% for S. notata, 96.5% for S. porcus and 92.2% for S. scrofa. The PCA indicated that 13 morphometric measurements among the 26 traits are important in the interspecific discrimination of five Scorpaena species. The cross-validated canonical discriminant analysis was correctly classified as 97.4% at the Scorpaena species level. The discrimination of correctly classified species ranged from 94.8% to 100%. Finally, we demonstrated that the morphometric characters examined in the present study can be used successfully in the intra- and interspecific discrimination of Scorpaena species from different habitats.

scholarly journals KARAKTERISASI GALUR HIBRIDA HASIL PERSILANGAN IKAN GURAMI (Osphronemus goramy Lac.) ASAL JAMBI, KALIMANTAN SELATAN DAN JAWA BARAT BERDASARKAN METODE TRUSS MORFOMETRIK

2018 ◽  
Vol 17 (1) ◽  
pp. 65
Author(s):  
Suharyanto Suharyanto ◽  
Rita Febrianti ◽  
Sularto Sularto ◽  
Ade Anom Abimanyu
Keyword(s):  
Discriminant Analysis ◽  
Measurement Data ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Pure Line ◽  
Native Fish ◽  
Morphometric Measurements ◽  
West Java ◽  
A Value ◽  
Low Diversity

Giant gouramy is a native fish to Indonesia and widely distributed in Sumatra, Kalimantan and Java. The aim of this study was to characterize the phenotype and kinship of Giant Gouramy from crosses between strains Jambi, South Kalimantan, and West Java (Tasikmalaya). This Research was conducted at the Giant gouramy Hatchery of Research Institute for Fish Breeding, Sukamandi, West Java. Analysis of morphological diversity of all crosses between varieties performed through morphometric measurements that have been determined based on a point benchmark of 16 haracteristics of the truss. Measurement data of each character crosses which have beenrelativized by standard length were analyzed using discriminant analysis and hierarchical cluster analysis. The result showed that Giant gouramy has low diversity coefficient values, ranging from 4 to13%. The highest coefficient of variance (CV) was found in the character of C3 (the tip of the anal fin-base of the tail fin), which ranges from 18-33% and the lowest in the character B5 (the base of the pelvic fin-tip of the dorsal fin) in the range of 2-4%. Based on discriminant analysis, males Giant Gouramy have more character differences than females. The closest kinship relationship is in hybrid of Tasikmalaya and Jambi (TJ) strain with of South Kalimantan and Tasikmalaya ( KT) which has a similarity level at 89.41%. However, the farthest kinship is in pure line of Tasikmalaya (TT) and Jambi (JJ) with the three other strains namely South Kalimantan and Jambi (KJ), Tasikmalaya and Jambi (TJ) and South Kalimantan and Tasikmalaya (KT) with a value of similarity of 53.93%.

scholarly journals The use of statistical classifiers for the discrimination of species of the genus Gyrodactylus (Monogenea) parasitizing salmonids

Parasitology ◽  
2000 ◽  
Vol 120 (3) ◽  
pp. 261-269 ◽  
Author(s):  
A. P. SHINN ◽  
J. W. KAY ◽  
C. SOMMERVILLE
Keyword(s):  
Neural Network ◽  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Statistical Methods ◽  
Marginal Hook ◽  
Feed Forward Neural Network ◽  
Morphometric Measurements ◽  
Linear Discriminant ◽  
Nearest Neighbours ◽  
Perfect Discrimination

This study applies flexible statistical methods to morphometric measurements obtained via light and scanning electron microscopy (SEM) to discriminate closely related species of Gyrodactylus parasitic on salmonids. For the first analysis, morphometric measurements taken from the opisthaptoral hooks and bars of 5 species of gyrodactylid were derived from images obtained by SEM and used to assess the prediction performance of 4 statistical methods (nearest neighbours; feed-forward neural network; projection pursuit regression and linear discriminant analysis). The performance of 2 methods, nearest neighbours and a feed-forward neural network provided perfect discrimination of G. salaris from 4 other species of Gyrodactylus when using measurements taken from only a single structure, the marginal hook. Data derived from images using light microscopy taken from the full complement of opisthaptoral hooks and bars were also tested and nearest neighbours and linear discriminant analysis gave perfect discrimination of G. salaris from G. derjavini Mikailov, 1975 and G. truttae Gläser, 1974. The nearest neighbours method had the least misclassifications and was therefore assessed further for the analysis of individual hooks. Five morphometric parameters from the marginal hook subset (total length, shaft length, sickle length, sickle proximal width and sickle distal width) gave near perfect discrimination of G. salaris. For perfect discrimination therefore, larger numbers of parameters are required at the light level than at the SEM level.

scholarly journals Rare or misidentified? On the external identification of the neglected Artibeus inopinatus Davis & Carter, 1964 (Chiroptera, Phyllostomidae) in Honduras

2020 ◽  
Vol 4 (1) ◽  
pp. 35-43
Author(s):  
Manfredo Alejandro Turcios-Casco ◽  
Hefer Daniel Ávila-Palma ◽  
Eduardo Javier Ordoñez Trejo ◽  
José Alejandro Soler Orellana ◽  
Diego Iván Ordoñez Mazier ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Body Length ◽  
Morphometric Characteristics ◽  
Morphometric Measurements ◽  
Linear Discriminant ◽  
Forearm Length

For years, the identification of Artibeus species has been controversial due to the overlap of morphometric characteristics between species. From February 2015 to September 2019, we sampled 25 sites in 10 departments of Honduras, and captured 81 Artibeus individuals using mist-nets. We determined the morphometric measurements that may be helpful in the identification of adult individuals of the Honduran Fruit-eating Bat, Artibeus inopinatus, in the field. We analyzed 648 morphometric measurements using a linear discriminant analysis, and determined that the forearm length, third metacarpal length, the length of the second phalanx of digit III, and body length are the main characteristics for the external identification of A. inopinatus.

scholarly journals Morphometrics characterization in White Fulani, Muturu and Pasundan cows

2021 ◽  
Vol 19 (3) ◽  
pp. 319
Author(s):  
Ridwan Olawale Ahmed ◽  
Widya Pintaka Bayu Putra ◽  
Johar Arifin ◽  
Semiu Folaniyi Bello
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Animal Study ◽  
Bos Indicus ◽  
Hierarchical Cluster ◽  
Canonical Discriminant Analysis ◽  
Morphometric Measurements ◽  
Breed Group ◽  
Chest Girth ◽  
White Fulani

<p class="MDPI17abstract"><strong>Objective: </strong>This study was aimed to characterize three different cattle breeds based on the morphometrics.</p><p class="MDPI17abstract"><strong>Methods: </strong>Five (5) morphometrics which include body length (BL), chest girth (CG), withers height (WH), rump length (RL) and chest depth (CD) were measured in each animal. A total of 119 cows belonging to White Fulani (40 heads), Muturu (40 heads) and Pasundan (39 heads) were used in this study. The age of animal study was 20.93±1.62 months (White Fulani), 21.63±1.75 months (Muturu) and 20.46±2.99 months (Pasundan). Hence, two statistical methods of canonical discriminant analysis (CDA) and hierarchical cluster analysis (HCA) methods were computed in this study to characterize of animals based on their morphometrics using SPSS 16.0 package.<strong></strong></p><p class="MDPI17abstract"><strong>Results: </strong>Mostly<strong> </strong>the morphometrics of White Fulani and Pasundan cows are similar while those of Muturu are significantly lower than the two other breeds. Four morphometric measurements of CG, RL, BL and WH were identified as a discriminator variables in animal study based on the CDA method. The CDA of morphometrics able to classify 85% (White Fulani), 100% (Muturu) and 74.4% (Pasundan) of the animal into their original breed group.<strong></strong></p><p class="MDPI17abstract"><strong>Conclusions: </strong>The closeness between observations from White Fulani and Pasundan might be due to them being both Zebu (<em>Bos indicus</em>) unlike the Muturu with a type breed of <em>Bos bracycheros</em>.<strong></strong></p>

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