PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS

Morphological architecture is central to description, characterization, classification and utility of a species. Six (6) morphological indices{compactness (CMP), massiveness (MAS), condition index (CID), stockiness (STK), long leggedness (LLG) and body index (BDI)} were used to describe and predict...

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Autores principales:	ABEL OLUSEGUN OGUNTUNJI, Widya Pintaka Bayu Putra, Victoria Fiyinfoluwa Ajala
Formato:	article
Lenguaje:	EN
Publicado:	Agroprint Timisoara 2021
Materias:	compactness, factor score, morphological architecture, morphological indices, sexual dimorphism. Agriculture S Technology T Science Q
Acceso en línea:	https://doaj.org/article/648ebca7cb7d47dbac6de4bb07bf9b44
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spelling	oai:doaj.org-article:648ebca7cb7d47dbac6de4bb07bf9b442021-11-04T07:45:45ZPRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS1841-93642344-4576https://doaj.org/article/648ebca7cb7d47dbac6de4bb07bf9b442021-10-01T00:00:00Zhttps://spasb.ro/index.php/spasb/article/view/2696https://doaj.org/toc/1841-9364https://doaj.org/toc/2344-4576Morphological architecture is central to description, characterization, classification and utility of a species. Six (6) morphological indices{compactness (CMP), massiveness (MAS), condition index (CID), stockiness (STK), long leggedness (LLG) and body index (BDI)} were used to describe and predict body weight of male (52) and female (62) Noiler chickens using stepwise regression analyses of morphological indices and principal component analysis (PCA) factor scores. Descriptive analysis revealed significant (P<0.05) sexual dimorphism in favour of male in all morphological indices except (P>0.05) in STK, BDI and LLG. Two PCs accounting for 89.11% and 89.16% of total variation were extracted for male and female chickens, respectively while CMP (male, 0.961; female, 0.953), CID (male, 0.889; female, 0.907) and MAS (male, 0.833; female, 0.820) had highest correlations with BWT in PC 1 of both sexes. Stepwise regression analysis indicated that CMP was the most important predicting morphological index accounting for 73.70%; and 78.10% prediction accuracy (R2) of BWT of cocks and hens, respectively. Regression analysis of factor scores of PCs indicated that PC 1 of the two sexes yielded the best prediction models and explained 89.70% and 91.00% of total variation in BWT of male and female Noiler chickens, respectively. Sexual dimorphism is evident and application of PC factor score models is more reliable in predicting BWT of male and female Noiler chickens than interdependent morphological indices because of its orthogonality and higher prediction accuracy.ABEL OLUSEGUN OGUNTUNJIWidya Pintaka Bayu PutraVictoria Fiyinfoluwa AjalaAgroprint Timisoaraarticlecompactness, factor score, morphological architecture, morphological indices, sexual dimorphism.AgricultureSTechnologyTScienceQENScientific Papers Animal Science and Biotechnologies, Vol 54, Iss 2, Pp 73-81 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	compactness, factor score, morphological architecture, morphological indices, sexual dimorphism. Agriculture S Technology T Science Q
spellingShingle	compactness, factor score, morphological architecture, morphological indices, sexual dimorphism. Agriculture S Technology T Science Q ABEL OLUSEGUN OGUNTUNJI Widya Pintaka Bayu Putra Victoria Fiyinfoluwa Ajala PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS
description	Morphological architecture is central to description, characterization, classification and utility of a species. Six (6) morphological indices{compactness (CMP), massiveness (MAS), condition index (CID), stockiness (STK), long leggedness (LLG) and body index (BDI)} were used to describe and predict body weight of male (52) and female (62) Noiler chickens using stepwise regression analyses of morphological indices and principal component analysis (PCA) factor scores. Descriptive analysis revealed significant (P<0.05) sexual dimorphism in favour of male in all morphological indices except (P>0.05) in STK, BDI and LLG. Two PCs accounting for 89.11% and 89.16% of total variation were extracted for male and female chickens, respectively while CMP (male, 0.961; female, 0.953), CID (male, 0.889; female, 0.907) and MAS (male, 0.833; female, 0.820) had highest correlations with BWT in PC 1 of both sexes. Stepwise regression analysis indicated that CMP was the most important predicting morphological index accounting for 73.70%; and 78.10% prediction accuracy (R2) of BWT of cocks and hens, respectively. Regression analysis of factor scores of PCs indicated that PC 1 of the two sexes yielded the best prediction models and explained 89.70% and 91.00% of total variation in BWT of male and female Noiler chickens, respectively. Sexual dimorphism is evident and application of PC factor score models is more reliable in predicting BWT of male and female Noiler chickens than interdependent morphological indices because of its orthogonality and higher prediction accuracy.
format	article
author	ABEL OLUSEGUN OGUNTUNJI Widya Pintaka Bayu Putra Victoria Fiyinfoluwa Ajala
author_facet	ABEL OLUSEGUN OGUNTUNJI Widya Pintaka Bayu Putra Victoria Fiyinfoluwa Ajala
author_sort	ABEL OLUSEGUN OGUNTUNJI
title	PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS
title_short	PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS
title_full	PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS
title_fullStr	PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS
title_full_unstemmed	PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS
title_sort	principal component analysis of morphostructural indices of noiler chickens
publisher	Agroprint Timisoara
publishDate	2021
url	https://doaj.org/article/648ebca7cb7d47dbac6de4bb07bf9b44
work_keys_str_mv	AT abelolusegunoguntunji principalcomponentanalysisofmorphostructuralindicesofnoilerchickens AT widyapintakabayuputra principalcomponentanalysisofmorphostructuralindicesofnoilerchickens AT victoriafiyinfoluwaajala principalcomponentanalysisofmorphostructuralindicesofnoilerchickens
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PRINCIPAL COMPONENT ANALYSIS OF MORPHOSTRUCTURAL INDICES OF NOILER CHICKENS

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