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- Title
Estimation of Carcass Trait Characteristics, Proportions, and Their Correlation with Preslaughter Body Weight in Indigenous Chickens in Southeastern Ethiopia.
- Authors
Mekonnen, Kefala Taye; Lee, Dong-Hui; Cho, Young-Gyu; Son, Ah-Yeong; Seo, Kang-Seok
- Abstract
This study aimed to estimate carcass trait characteristics, proportions, and their correlation with the preslaughter body weight of indigenous chickens in Southeastern Ethiopia. Data from 42 healthy male chickens were collected and analyzed using SAS 2012 ver. 9.4, R software ver.4.3.1, and MetaboAnalyst 5.0. The results indicated significant fixed effect of districts on dressed carcass weight, drumsticks, thighs, wings, and gizzard between Goba and Agarfa chickens (p < 0.05). The fixed effect of age and the district–age interaction effect were not significant. Principal component analysis revealed that PC1, accounting for 96.8% of the total variation between Goba and Agarfa chickens, was contributed by preslaughter and dressed carcass weight. Among the carcass components, the key contributors to differentiation between the Goba and Agarfa indigenous chicken carcass yields were the drumstick, thigh, breast (with/without keel bone), and back with thoracic weight (VIP > 1); there was a higher yield in Goba chickens. Preslaughter weight exhibited stronger correlations with most other traits, while dressing percentages displayed a negative correlation with various carcass components and edible giblet yields across the study districts. This study provides useful insights into carcass component characteristics and yields of indigenous Ethiopian chickens, which can increase our understanding of carcass components and their relationships with other qualities for improvement and further studies on poultry production.
- Subjects
ETHIOPIA; JUBA (South Sudan); BODY weight; CHICKENS; PRINCIPAL components analysis; RELATIONSHIP quality; MEAT quality
- Publication
Agriculture; Basel, 2024, Vol 14, Issue 1, p50
- ISSN
2077-0472
- Publication type
Article
- DOI
10.3390/agriculture14010050