Evidence map›Paper›PMID 42174597›Full record

ArticleBMC veterinary research2026

Discriminant analysis of morphometric traits across growth stages in native goat breeds.

Esra Yavuz, Hasan Önder, Uğur Şen, Mustafa Şahi̇n, Ömer Faruk Yilmaz

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Article in BMC veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Esra YavuzDepartment of Accounting and Tax Practices, Cizre Vocational School, Şırnak University, Şırnak, 73200, Türkiye. yavuz7346@gmail.com.ORCID http://orcid.org/0000-0002-5589-297X
Hasan ÖnderDepartment of Animal Science, Ondokuz Mayis University, Samsun, 55139, Türkiye.ORCID http://orcid.org/0000-0002-8404-8700
Uğur ŞenDepartment of Agricultural Biotechnology, Ondokuz Mayis University, Samsun, 55139, Türkiye.ORCID http://orcid.org/0000-0001-6058-1140
Mustafa Şahi̇nDepartment of Agricultural Biotechnology, Faculty of Agriculture, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, 46100, Türkiye.ORCID http://orcid.org/0000-0003-3622-4543
Ömer Faruk YilmazDepartment of Animal Science, Ondokuz Mayis University, Samsun, 55139, Türkiye.ORCID http://orcid.org/0000-0002-1411-7897

Funding

Ondokuz Mayis University BAP01-2024-4873Ondokuz Mayis University BAP01-2024-5282Şırnak University 2024.FNAP.02.04.01
6 · The paper itself

Abstract

backgroundMorphometric measurements can be used for the separation of animal breeds. The hypothesis of this manuscript is based on the assumption that the discriminatory power of morphometric features can change during the growth process. For this aim Angora, Hair, Kilis, and Honamlı goat breeds in three different ages that at birth, weaning (90 days of age), and mature (one year old) animals from were evaluated.

methodsFor dimension reduction Principal Component Analysis was used and Multivariate Discriminant Stepwise Analysis Method (MDASM) was used to determine the differences and grouping levels in terms of biometric measurements of nine animals per genotype such as height at wither (HW), height at sacrum (HS), body length (BL), chest girth (CG), chest width (CW), and chest circumference (CC) for discrimination of goat genotypes.

resultsOur results showed that there were differences among ages that at birth, weaning, and mature in spite of discrimination according to biometric measurements. The highest correct classification rate obtained for mature age (91.18%) which was 25.66% higher than age of birth.

conclusionsThese findings supported that the measurements taken at mature age should be used for robust discrimination. The chest girth, chest circumference, and chest width were found the most significant variables for classification.

Indexed as

GoatsAnimalsBreedingDiscriminant AnalysisFemaleGenotypeMalePrincipal Component AnalysisAge effectClassificationCorrect classification rateGoat breeds

Identifiers

PMID42174597
PMCPMC13374123

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.