Title of article :
Prediction of Body Weight From Linear Body Measurements in Kashmir Merino Sheep
Author/Authors :
Rather, Mubashir Ali Department of Sheep Husbandry, Kashmir , Bashir, Imran Department of Sheep Husbandry, Kashmir , Hamdani, Ambreen Division of Animal Genetics and Breeding, SKUAST-Kashmir , Nabi Khan, Nusrat Division of Animal Genetics and Breeding, SKUAST-Kashmir , Ahangar, Showkat A. Department of Sheep Husbandry, Kashmir , Nazki, M. Department of Sheep Husbandry, Kashmir
Abstract :
Data on 349 Kashmir Merino sheep managed at Government Sheep Breeding Farm Kralpathri, Kashmir
for body length (BL), hight at withers (BH), heart girth (HG), paunch girth (PG), tail length (TL), ear length (EL),
ear width (EW), face length (FL) and adult body weight (BW) were analysed with the Mixed Model Least Squares
and Maximum Likelihood algorithms, PC-2 version computer programme (Harvey. 1990) with sex and year of birth
as fixed effects. The effect of year of birth was significant on all traits under study whereas effect of sex was significant
on BL, BH, HG, PG, TL and BW. Heritability estimates obtained were high for BH, HG and PG, moderate for BL,
EL and TL and low for FL and EB in present study. The genetic and phonetic correlations ranged from to -0.61±0.14
to 0.95±0.34 and -0.12 to 0.74, respectively among different traits. The R2
values for different regression equations
developed to predict adult body weight varied from 0.00 to 56.96%. the coefficient multiple determination (R2
) values
increased with the addition of traits (independent variables or linear body measurements) in the equation and the
maximum R2 value of 56.96 % was obtained when all the variables were used together and poor R2
value of 0.00 %
was obtained when TL alone was used as the independent variable. The study revealed that the height at withers is
the best predictor for the estimation of body weight from body measurements in Kashmir Merino sheep under field
conditions. This may be a useful finding in conditions when a weighing balance may not be available with farmer. This
also indicates a high correlation between traits and therefore can be used for making selection decisions.
Keywords :
Kashmir Merino , Measurements , Regression Analysis , Prediction
Journal title :
Advances in Animal and Veterinary Sciences