Multivariate Analysis of Morphometric Differentiation in the Red Sokoto and Boer Goats

Muhammad, Hayatudeen; Garba, Yusuf; Ogah, D. M.

doi:10.17582/journal.aavs/2021/9.4.595.603

Cited by 1 publication

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“…Discriminant analysis of morphometric traits is broadly used in determining the relationships among different breeds of livestock [ 27 , 28 , 29 ]. Sanni et al [ 30 ] proposed that more than three phenotypic variables should be included in order to minimize ambiguity in classification when assessing morphological diversity.…”

Section: Discussionmentioning

confidence: 99%

“…Canonical analysis was used to obtain the function of all body measurements necessary for the separation of the three breeds. The standardized canonical coefficients indicate each variable’s partial contribution to the discriminant function [ 29 ]. The first discriminant function was weighted most heavily by the head length and chest depth, followed by heart girth.…”

Section: Discussionmentioning

confidence: 99%

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Discriminant Analysis Approach in Morphometric Differentiation and Characterization of Serbian Autochthonous Goats

Maksimovic

Cekić

Ćosić

et al. 2023

Animals

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This study investigated the possibility of using morphometric measurements to differentiate the autochthonous Serbian White goat breed from Saanen and Balkan goats, which were used as sire and dam breeds in its creation. For this purpose, a multivariate discriminant analysis was used. A total of 11 morphometric traits were measured in 98 does of 3 breeds: Saanen (n = 28), Balkan (n = 28), and Serbian White (n = 42), aged 2 to 7 years, in 4 different locations. Univariate analysis of variance revealed a significant difference in body measurements of all three breeds, with Saanen goat being the largest in format and Balkan the smallest. Discriminant analysis extracted six out of eleven tested morphometric traits with the strongest discriminatory power: heart girth, head length, chest depth, head width, pelvic width, and body length. Mahalanobis distances were significant between all three genetic groups. The discriminant function correctly classified 95.24% of the Domestic White goats investigated to their source group. The classification accuracy of the function was cross-validated and indicated an overall success rate of 91.84%. The results of this research showed that there was a clear separation between Serbian White, Saanen, and Balkan goats. The present findings could help a more rapid field assessment of Serbian White goats.

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