Shettima, Mustapha Maryam1, Abba Mohammed1, Abubakar Hassan1, Adulraheem, Olanrewaju
Abdulyekeen2, Modu-kagu Hajja Ashe2, Balarabe Safiya3,
1Department of Animal Science, Borno State University, 1122, Maiduguri, Borno State
2Department of Animal Science, Faculty of Agriculture, University of Maiduguri, P.M.B.1069, Maiduguri, Borno State, Nigeria
3Department of Animal Science, Faculty of Agriculture, Ahmadu Bello University Zaria, Kaduna State, Nigeria
*Corresponding author’s Email: shettimamaryam500@gmail.com, doi.org/10.55639/607.02010044
ABSTRACT
This study aimed to develop reliable regression models for predicting body weight (BW) from linear body measurements in sheep and goats across different breeds in Nigeria. A total of 400 animals, comprising 200 sheep and 200 goats, were used for the study. Linear body measurements (body length, height at withers, and heart girth) were taken using a graduated measuring tape, and body weight was recorded using a weighing scale. Data were analyzed using both simple and multiple linear regression models, and model diagnostics were conducted. The results indicated strong predictive ability of BL and HG in sheep (R² up to 0.88), while predictive strength was weaker in goats, with R² values as low as 0.25 in some cases. Sex and age significantly influenced all traits, with males and older animals having higher values. Multiple regression improved prediction accuracy compared to single-trait models. The findings highlight the potential of using body measurements, particularly BL and HG, for estimating BW, especially in sheep. However, more research is needed to understand how breed, sex, and age affect these measurements. These models can benefit smallholder farmers lacking access to weighing scales.
Keywords:
Body weight,
Sheep,
Goat,
Morphometrics,
Nigeria