Body indices and principal component analysis of morphometric and wool quality traits of Gurez sheep

SYED  SHAHNAZ; OLYMPICA  SARMA; MUBASHIR ALI  RATHER; AMBREEN  HAMADANI

doi:10.56093/ijans.v95i7.161630

Authors

SYED SHAHNAZ Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, Srinagar
OLYMPICA SARMA Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, Srinagar
MUBASHIR ALI RATHER Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, Srinagar
AMBREEN HAMADANI Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, Srinagar

https://doi.org/10.56093/ijans.v95i7.161630

Keywords:

Gurez, Morphometry, PCA, Sheep

Abstract

Gurez sheep, a dual-purpose breed valued for its meat and fiber, is primarily reared by Dardi tribe of Gurez in Bandipora district, Jammu and Kashmir. To evaluate the breed biometric, body indices, and wool quality traits data of 236 adult sheep were collected and analyzed. The averages values of 35.81±0.24 kg, 73.55±1.28 cm, 61.88±1.18 cm, 74.92±1.69 cm, 10.97±0.43 cm, 60.49±1.01 cm, 18.68±0.78 cm, 77.02±0.32 cm, 29.57±0.71 µ, 4.44±0.47 cm, 11.78±0.6, 14.34±0.86 %,85.36±1.58, 102.64±1.16, 3788.88±9.76, 122.71±1.75, 47.47±1.29, 91.78±1.71 and 98.68±1.14 were calculated for body weight (BW), chest girth (CG), body length (BL), paunch girth (PG), height at withers (HW), ear length (EL), tail length (TL), clean wool yield (CWY), fiber diameter (FD), staple length (SL), number of crimps/ cm (NCPC), medullation % (MP), body index (BI), length index (LI), area index (AI), thoracic development index (TDI), Compact index (CI), conformation index (COMI) and height index, respectively. Phenotypic correlation though positive ranged from moderate to high among BW, CG, PG, and WH, whereas EL, TL, and wool quality traits had no to low correlation among themselves or with BW, CG, PG, and WH. Further, 10 negative and 11 positive correlations were observed among body indices. The principal component analysis applied to 12 traits yielded a Measure of Sampling Adequacy (MSA) of 0.710 and five principal components accounting for a cumulative variance of 70.495%. The study underscores its importance as a selection criterion for improving the productivity and efficiency of the sheep breeding program.

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