In present study data available on 20455 kidding and performance records of 5545 Teddy goats and progeny of 406 sires maintained as separate flocks at Livestock Experiment Stations Rakh Ghulaman, Rakh Khariewala and Chak Katora, Punjab, Pakistan was analyzed. The phenotypic, genetic and environmental correlations between birth weight and other growth traits were estimated by Bivariate REML analysis. The estimates of genetic, Phenotypic and environmental correlations between birth weight and weaning weight were 0.61, 0.20 and 0.19, between birth weight and weight at six months 0.39, 0.24 and 0.23, between birth weight and weight at nine months 0.25, 0.38 and 0.36, between birth weight and yearling weight 0.29, -0.01 and -0.02, between birth weight and pre-weaning daily gain 0.55, 0.31 and 0.29, respectively, while the corresponding values for these correlations between birth weight and post weaning daily gain at six months were 0.41, 0.15, 0.13, between birth weight and post weaning daily gain at nine months were 0.22, 0.17, 0.16, while between birth weight and post weaning daily gain at twelve months was 0.29, -0.06 and -0.09, respectively. The results indicated a positive correlation of the between birth weight and other growth traits, except yearling weight and post weaning daily gain at twelve months, which indicates that birth weight that selection on the basis of birth weight would result in increase in performance at later ages.
The information on principal component analysis (PCA) of kail sheep was generated using 16 different morphomteriacal traits. A total of 368 Kail sheep individuals were selected from different ecological zone of Azad Jammu Kahmir during the summer of 2020. The coefficient of correlation between these traits were found highly correlate with other morphometric traits of this breed. The PC extract two components and explaning total variance of 67 % and 60% respectively. PC1 has high variance while PC2 high association eith these traits. The application of PC analysis in kail sheep reduce the number of factor and variable a draw a more informative information about morphometric traits. These component can be used in breeding and conservation programme of this breed.
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