Fipa cattle in the southwestern highlands of Tanzania: morphometric and physical characteristics

Autor: S.W. Chenyambuga, P.L. Mwambene, P.A.A. Mwakilembe, A.M. Katule
Rok vydání: 2012
Předmět:
Zdroj: Animal Genetic Resources/Ressources génétiques animales/Recursos genéticos animales. 51:15-29
ISSN: 2078-6344
2078-6336
DOI: 10.1017/s2078633612000136
Popis: Assessment of diversity is a prerequisite for the management and conservation of farm animal genetic resources. To study the morphological features of Fipa cattle in Southwestern Tanzania, 108 herds were studied. Fourteen body measurements (body weight, body length, height at withers, heart girth, ear length, ear width, horn length, horn-base thickness, horn-base spacing, horn-tip spacing, rump width, rump length, tail length and tail-base thickness) and qualitative traits were recorded from 307 animals. Measurements were classified according to location and animal sex. Both location and sex significantly (P < 0.05) influenced all the measurements, with castrates and bulls superseding cows. Most measurements were positively and highly significantly (P < 0.001) correlated with the body weight predicted accurately from heart girth. The animals had variable colour patterns, but being predominantly red (20.9 percent), pied black and white (18.6 percent), black (17.9 percent) and pied red and white (14.7 percent). All animals had sloping rumps and most (81.8 percent) had small-sized humps. Most (94.8 percent) animals had pyramid-shaped humps located in the cervico-thoracic position. Most (91.5 percent) animals had upward�forward oriented and lyre-shaped horns. All the animals had flat faces and backs, and laterally oriented ears. Most (97.1 percent) animals had medium-sized dewlaps, medium-sized teats (93.6 percent) and medium-sized quarters (87.2 percent). The navel flap was absent in most (87.6 percent) animals. Thus, the Fipa cattle can be classified as a medium-sized strain with considerable variation in body size and morphological features within and between districts.
Databáze: OpenAIRE