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Morphometric Characteristics of Doe Pote Goats Based on Population Structure in Bangkalan, Madura

Research output: Contribution to journal › Conference article › peer-review

Abstract

This study investigated the morphometric characteristics and population structure of doe Pote goats, a local genetic resource originating from Bangkalan, Madura. Goats play an important role in traditional farming systems due to their adaptability and contribution to rural livelihoods, making the documentation of local breeds essential for conservation and development programs. A total of 253 does were evaluated using direct observation, body measurements, and interviews with goat owners. The variables analyzed included population structure as well as qualitative and quantitative traits. The population in Tragah District consisted of 62 male kids (11.27%), 107 female kids (19.45%), 32 young males (5.81%), 103 young females (18.72%), 10 bucks (1.81%), and 236 does (42.90%). The mean values of quantitative traits were: withers height 67.63 ± 4.39 cm, body length 68.71 ± 5.08 cm, chest girth 75.38 ± 5.82 cm, ear length 18.37 ± 1.88 cm, and body weight 36.30 ± 8.01 kg. Qualitative observations showed that Pote goats are predominantly characterized by a solid white coat color, relatively small body size, short pendulous ears, and straight horns. Morphometric comparisons with Kacang goats-currently the only breed with an established national standard (SNI) indicated significant differences, confirming the distinctiveness of Pote goats. These findings highlight the potential of Pote goats as a promising local genetic resource that can be further developed and conserved to support livestock diversity and farmer welfare.

Original languageEnglish
Article number02002
JournalBIO Web of Conferences
Volume218
DOIs
Publication statusPublished - 10 Feb 2026
Event12th International Conference of Innovation in Animal Science, ICIAS 2025 - Virtual, Online, Indonesia
Duration: 5 Nov 2025 → …

Keywords

  • Population structure
  • Qualitative traits
  • Quantitative traits

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