JOURNAL OF ANIMAL SCIENCE AND VETERINARY MEDICINE
Integrity Research Journals
ISSN: 2536-7099
Model: Open Access/Peer Reviewed
DOI: 10.31248/JASVM
Start Year: 2016
Email: jasvm@integrityresjournals.org
Mapping the variation and correlation of body dimensions of Ettawa grade goats in Umejero Village, Buleleng Regency, Bali
https://doi.org/10.31248/JASVM2026.675 | Article Number: 4450DA6410 | Vol.11 (4) - August 2026
Received Date: 04 July 2026 | Accepted Date: 19 July 2026 | Published Date: 08 August 2026
Authors: I Putu Sampurna* , Tjokorda Sari Nindhia , Ni Nyoman Werdi Susari and Dewi Ayu Warmadewi
Keywords: morphometric traits, principal component analysis, Ettawa Grade goat, biplot, breeding selection.
Morphometric traits are widely used as practical indicators for evaluating growth performance and selecting superior animals in smallholder goat production systems. This study aimed to evaluate morphometric characteristics, analyse correlations among body measurement parameters, and map the diversity of Ettawa Grade (PE) goats as a basis for breeding selection. The study was conducted in Umejero Village, Busungbiu District, Buleleng Regency, Bali, involving 81 adult PE goats, consisting of 37 females and 44 males. Twelve body morphometric variables were measured using a saturated sampling approach. Data were analysed descriptively using error bars with 95% confidence intervals and multivariate analysis using Principal Component Analysis (PCA) with biplot visualisation (SPSS v.28). The results showed no significant differences (p>0.05) in all morphometric traits between male and female goats. Variability analysis indicated that front cannon bone circumference was the most uniform trait (46.32%), while hip height showed the highest variability (83.57%), suggesting greater potential for selection. Most morphometric traits were positively correlated and exhibited proportional growth patterns, particularly between chest depth and withers height. Biplot mapping identified individuals in Quadrant I as potential breeding stock due to their above-average body dimensions, whereas goats in Quadrant III were categorised as animals with relatively low morphometric performance. These findings demonstrate that multivariate morphometric analysis is an effective tool for identifying superior individuals and supporting breeding strategies in smallholder PE goat production systems.
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