Biometric index values of adult Angora goats raised in extensive conditions

Erdal N., Sakar Ç. M., Ergiden Y., Zengin Y., Mızrak F. G., Erişek A., ...Daha Fazla

Tropical Animal Health and Production, cilt.57, sa.8, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 57 Sayı: 8
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s11250-025-04703-1
  • Dergi Adı: Tropical Animal Health and Production
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Environment Index, Veterinary Science Database
  • Anahtar Kelimeler: Body conformation, Local goat, Morphometric measurement, Pasture
  • Ankara Üniversitesi Adresli: Evet

Özet

In this study, biometric index (BIN) values were calculated using various zoometric measurements of adult Angora goats raised under extensive farming conditions in Ankara Province, located in Central Anatolia. For this purpose, a total of 553 goats (452 females and 101 males) from 28 different farms were evaluated. A total of 14 BIN were calculated using 11 body measurements. The calculated BIN are generally as follows: Length Index: 113.9 ± 0.427, Body Index: 84.2 ± 0.342, Chest Depth Index: 53.2 ± 0.192, Proportionality Index: 88.9 ± 0.331, Height Index: 96.9 ± 0.139, Pectoral Index: 2.08 ± 0.011, Thoracic Development Index: 137.0 ± 0.598, Baron&Crevat: 116.3 ± 0.854, Balance: 0.48 ± 0.0038, Pelvic Index: 74.9 ± 0.322, Transverse Pelvic Index: 24.9 ± 0.093, Longitudinal Pelvic Index: 33.7 ± 0.123, Dactyl Thorax Index: 10.2 ± 0.045, Relative Cannon Thickness Index: 13.8 ± 0.056. Overall, male goats have higher BIN values than female goats, and old goats have higher BIN values than younger goats. The body structure of pasture-raised Angora goats is closely related to their productivity, mobility, and environmental resilience. These findings suggest that the biometric index of Angora goats reflect their adaptability to extensive pasture conditions and can be used as indicators for selecting individuals with better productivity and resilience.