scholarly journals MULTIVARIATE PRINCIPAL COMPONENT ANALYSIS OF THE MORPHOMETRIC TRAITS OF SOME CATTLE BREEDS IN NIGERIA

2020 ◽  
Vol 31 (3) ◽  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Morphometric Traits ◽  
Cattle Breeds

scholarly journals Principal Component Analysis of Morphometric Traits of West African Dwarf Goats

2019 ◽  
Vol 1 ◽  
pp. 26-32 ◽  
Author(s):  
I O Dudusola ◽  
S O Oseni ◽  
M A Popoola ◽  
A Jenyo
Keyword(s):  
Principal Component Analysis ◽  
Body Weight ◽  
Total Variation ◽  
Age Groups ◽  
Principal Component ◽  
Component Analysis ◽  
West African ◽  
Age Group ◽  
Morphometric Traits ◽  
West African Dwarf

The study was conducted to evaluate the principal component analysis of phenotypic attributes of West African Dwarf (WAD) goat. Data collected on the live body weight and twelve morphometric traits of the goats which were categorised into four age groups based on their dentition. The age groups were: less than 2years old, 2- 3years old, 3-4 years old and 4 years old. The data were subjected to a PCA and Cluster analyses using the multivariate procedure components of SAS (2003). Result revealed that highest values of morphometric traits were obtained in goats that of 4 years old. The rate of increase in body weight and other morphometric traits was high in age group of ˂2 years to age 2-3years compared to differences observed in others across the age group. Heart Girth had the highest correlation with body weight. Foreleg, neck, ear and hind leg lengths; wither height and rump height were weakly correlated with the body weight of the goats. Result revealed that two Principal components were retained in the first age group (age group˂2years) which accounted for 72.99% of the total variation. The first PC alone accounted for 63.13% of the total variation while PC2 accounted for the remaining 9.86%. From this study, it was concluded that there is interdependence among body weight and morphometric traits and that morphometric traits can be used in predicting live weight of WAD goats; PCA and Cluster could be exploited in breeding and selection programmes to acquire highly coordinated animal bodies using fewer measurements.

scholarly journals Redescription of Leporinus jamesi (Characiformes: Anostomidae), a poorly known species of Leporinus from the lowlands of the central Amazon, Brazil

2014 ◽  
Vol 12 (2) ◽  
pp. 317-326 ◽  
Author(s):  
Júlio C. Garavello ◽  
Heraldo A. Britski ◽  
José L. O. Birindelli
Keyword(s):  
Principal Component Analysis ◽  
Lateral Line ◽  
Principal Component ◽  
Component Analysis ◽  
Species Description ◽  
Single Specimen ◽  
Morphometric Traits ◽  
Caudal Peduncle ◽  
Central Amazon

The poorly known Leporinus jamesiis redescribed. The species was originally described based on a single specimen collected in the rio Solimões at Manacapuru, in the central Amazon, Brazil. The holotype went missing before the species description was finished and published, and remained lost for more than a hundred years. Leporinus jamesi is distinguished from its congeners by having pectoral and pelvic fins dark, 42 to 45 scales on the lateral line, 16 scale series around the caudal peduncle, a body with two conspicuous dark midlateral blotches (the blotch on the caudal peduncle absent or inconspicuous), and four teeth on the premaxilla and dentary, including a bicuspid symphyseal tooth on the premaxilla. A principal component analysis on morphometric traits between combined samples of L. jamesi and L. amazonicus was performed showing significant morphometric differences between these species. In addition, inaccuracies in Borodin's descriptions of various species of the genus Leporinus are discussed.

Exploratory Principal Component Analysis of Body Morphometric Traits as Affected by Age and Sex in Donkeys

2021 ◽  
Author(s):  
Onoruoyiza Asuku Ibrahim ◽  
Kayode Anthony Olutunmogun ◽  
Mallam Iliya ◽  
Chima Martin Umego ◽  
Opeyemi Rachel Alao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Tail Length ◽  
Component Analysis ◽  
Head Width ◽  
Research Station ◽  
Age Group ◽  
Morphometric Traits ◽  
Production Research ◽  
Age And Sex

Abstract An experiment was conducted to determine the principal component analysis of body morphometric traits as affected by age and sex in donkeys reared on a research station in the National Animal Production Research Institute, Shika-Zaria, Nigeria. This was based on the objective of classifying age and sex using the multivariant method of principal component analysis (PCA) on morphometric traits of donkeys. Data were collected from a total of 101 donkeys based on age and sex on body wright, heart girth, body length, height at withers, tail length, shoulder width, head width, ear length, head length, neck circumference and neck length. The data obtained were subjected to multivariate factor analysis with varimax rotation using IBM® SPSS® Version 21. The results obtained revealed that the age group ≤ 1 year had one PCA, 2–3 years age group had four PCA, 4–5 years group had three PCA while those ≥ 6 years had two PCA. Most of the variables in combination with age largely formed the block of PC1 while other PCA had one or two variables correlating with them. Most of the variables formed PC1 for the Jacks while head width (HW) and ear length (EL) formed PC2. The Jennies had its entire variable in one PCA. Therefore, PC1 had the highest loading for the variables both by age and by sex as the animals are relatively well adapted to their environment. It can be concluded that donkeys between 2-3years have more PC correlation proportions.

scholarly journals Keragaman Sifat Kualitatif pada Sapi Silangan PO dan Belgian Blue Menggunakan Analisis Komponen Utama

2020 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Jakaria Jakaria ◽  
Fuadi Zulkipli ◽  
Edwar Edwar ◽  
Mokhamad Fakhrul Ulum ◽  
Rudy Priyanto
Keyword(s):  
Principal Component Analysis ◽  
Cattle Breed ◽  
Principal Component ◽  
Component Analysis ◽  
Body Color ◽  
Qualitative Traits ◽  
Cattle Breeds ◽  
Double Muscle ◽  
Tail Tip ◽  
Distinguishing Character

The purpose of this study was to determine the diversity of qualitative traits in PO, Belgian Blue and PO-Belgian Blue crosses using principal component analysis. The total samples of cattle used were 36 consisting of 8 heads Belgian Blue (4 males and 4 females), 17 heads Belgian PO-Belgian cross-breed (11 males and 6 females) and 11 PO heads (all females)). The diversity of qualitative traits observed were 17 characteristics namely plain body-color (WTP), combination body-color (WTK), horned (MT), humped (MP), sagging (MG), black tail tip color (WUEH), white tail tip color (WUEH), black eyelash color (WBMH), white eyelash color (WBMP), circle hair head (PRK), circle hair back (PRP), circle hair bracket (PRB), black nail color (WKH), nail color white (WKP), double muscle (PG), black muzzle (WMH) and white muzzle (WMP). Qualitative data were analyzed descriptively by calculating the proportion value, while the determinant variables of each breed were analyzed using the principal component analysis method (AKU) with the Minitab version 7 program. The results showed that the characteristics of qualitative traits in PO, Belgian Blue, and PO-Belgian Blue cross-breed cattle have a high diversity. PO and Belgian Blue cattle breeds can be clearly distinguished based on the characteristics of qualitative traits, whereas PO-Belgian Blue crossbred cattle have clusters that are close to PO cattle clusters. Found character traits for each cattle breed in both PO, Belgian Blue, and PO-Belgian Blue cross-breed. There are three characteristics of qualitative traits possessed in each cow nation, namely the variable circle hair head (PRK), circle hair back (PRP) and horned characters (MT). Based on the results obtained that the qualitative traits in cattle can be used as a distinguishing character between PO, Belgian Blue, and PO-Blue Belgian cross cattle breeds.

scholarly journals Principal components for the in vivo and carcass conformations of Anglo-Nubian crossbred goats

2018 ◽  
Vol 48 (6) ◽  
Author(s):  
Marta Jeidjane Borges Ribeiro ◽  
Luís Fernando Batista Pinto ◽  
Ana Carla Borges Barbosa ◽  
Gladston Rafael de Arruda Santos ◽  
Ana Paula Gomes Pinto ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Body Condition ◽  
Principal Components ◽  
Carcass Traits ◽  
Principal Component ◽  
Component Analysis ◽  
Total Variance ◽  
Morphometric Traits

ABSTRACT: This study aimed to identify the principal components (PC) that explain the highest percentages of total variance and best characterize the in vivo and carcass morphologies of Anglo-Nubian crossbred goats. Nineteen carcass morphometric traits and six in vivo morphometric traits were measured in 28 kids at eight months of age. Principal component analysis indicated that five PC were able to explain 83.57% of the total variance in the 19 original carcass traits. Those components were termed PC1-Carcass Size, PC2 - Body Condition, PC3-Carcass Width, PC4-Chest Depth, and PC5 - Hindquarter. For in vivo morphometric traits, the first two principal components explained 78.86% of the total variance. These components were called PC1-In vivo Size and PC2-In vivo Conformation.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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