Factor and Discriminant Analyses in the Morphostructure of Batur and Wonosobo Sheep Breeds

Ibrahim, Alek and Budisatria, I Gede Suparta and Baliarti, Endang and Putra, Widya Pintaka Bayu and Margawati, Endang Tri and Atmoko, Bayu Andri and Artama, Wayan Tunas and Rini Widayanti, Rini Widayanti (2023) Factor and Discriminant Analyses in the Morphostructure of Batur and Wonosobo Sheep Breeds. Indian Journal of Animal Research, 57 (11). pp. 1561-1567. ISSN 0367-6722

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Abstract

Background: Batur and Wonosobo sheep are two Indonesian indigenous sheep breeds from Central Java Province, Indonesia. This study aimed to describe and discriminate the morphostructure of Batur sheep and Wonosobo sheep with body measurements and body indices.
Methods: Fourteen body measurements and nine body indices were measured from 37 Batur and 83 Wonosobo sheep. Two statistical methods of factor and discriminant analyses were computed with SPSS 25.0 program to describe the sheep’s morphostructure and characterization.
Result: The factor analysis in body measurements was obtained three principal components (PCs) that explain about 76.58% (Wonosobo sheep) and 73.51% (Batur sheep) of the total variance in animals’ morphostructure. Meanwhile, the factor analysis in body indices
was obtained on three PCs that explain about 79.16% (Batur sheep) and 95.57% (Wonosobo sheep) of the total variance in animals’ morphostructure. About 95.2% of Wonosobo sheep and 92.7% of Batur sheep can be classified with body measurements (RW, SW, EL, EW, RH and TL). Meanwhile, about 75.7% of Batur sheep and 80.7% of Wonosobo sheep can be classified with body indices (TI and CI). In conclusion, Batur and Wonosobo sheep can be accurately characterized by their body measurements.

Item Type: Article
Uncontrolled Keywords: Body indices, Body measurements, Discriminant analysis, Factor analysis, Indonesian sheep.
Subjects: S Agriculture > SF Animal culture
Divisions: Faculty of Veterinary Medicine
Depositing User: Erlita Cahyaningtyas Cahyaningtyas
Date Deposited: 12 Sep 2024 02:13
Last Modified: 12 Sep 2024 02:13
URI: https://ir.lib.ugm.ac.id/id/eprint/3661

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