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Canonical Discriminant Analysis of Morphometric Variables of Swamp Buffalo (Bubalus bubalis) in Kalimantan Island


Article Information

Title: Canonical Discriminant Analysis of Morphometric Variables of Swamp Buffalo (Bubalus bubalis) in Kalimantan Island

Authors: Suhardi Suhardi, Widya Pintaka Bayu Putra, Ari Wibowo, Arif Ismanto, Rofik, Muhammad Ichsan Haris, Apdila Safitri, Ibrahim, Pijug Summpunn

Journal: International Journal of Veterinary Science

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30

Publisher: Unique Scientific Publishers

Country: Pakistan

Year: 2022

Volume: 11

Issue: 1

Language: English

Keywords: BuffaloCanonical analysisEuclidean distanceKalimantanMorphometrics.

Categories

Abstract

Swamp buffalo (Bubalus bubalis) is important livestock by farmers at Kalimantan Island for meat production and drought purposes. This research was carried out to classify buffalo (about 3.5 years of age) based on their morphometrical measurements. The animals in this study were collected from North Kalimantan (NK), East Kalimantan (EK), and South Kalimantan (SK) regions. A Total of 50 animals (25 males and 25 females) were collected from each region. Thus, eight morphometrics of withers height (WH), body length (BL), chest girth (CG), shoulder width (SW), chest depth (CD), rump height (RH), rump width (RW), and rump length (RL) were measured in this study. Research findings showed that four morphometrics of WH, RL, CG, and BL were described as the discriminating variables. According to the Euclidean distance, the buffalo from EK and SK were grouped into a similar cluster. Meanwhile, the buffalo from NK was grouped into a different cluster. Therefore, the observed morphometrics in this study was capable to classify buffalo at NK (100%), EK (66%), and SK (70%) into their original population group. In conclusion, the buffalo at EK and SK regions have an imminent genetic relationship. Moreover, a study to classify buffalo using cranial measurements is important to support this finding due to mtDNA analysis.


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