Morphological body measurements, body indices, and their genetic background for several Chinese goat breeds
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Updated: Sep 20, 2025

In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals
Published on: February 26, 2022
Ahmed A Saleh1, Amr M A Rashad2, Nada N A M Hassanine3
1Animal and Fish Production Department, Faculty of Agriculture (Alshatby), Alexandria University, Alexandria, 11865, Egypt. Elemlak1339@Gmail.Com.
Abstract:
This field work was conducted to describe the body measurements and the body indices along with the correlations among them for 513 goats organized into the following breeds: Saanen milk goat (B1), Black Boer x Dazu black goat (B2), Hechuan white goat (B3), Dazu black goat (B4), Inner Mongolia cashmere goat (B5), B4 x B5 cross (B6), and B6x B6 cross (B7) residents of different Chinese regions but raised in Dazu Black farm, Beibei, Southwest China. Data were collected on adult males and females of similar age (36.50 ± 0.75 months). Results showed that the B4, B2, B6, and B7 were heavier than other breeds with mean live body weight of 60.80, 59.00, 62.75, and 63.08 kg, respectively, while that of B3, B1, and B5 were 57.00, 43.42, and 57.15 kg. Meanwhile, B1, B2, B5, B6, and B7 had longer bodies than other breeds, recording 77.00, 73.83, 72.50, 65.17, and 67.17 cm, respectively. As for wither height, B1, B2, B4, B5, and B6 recorded 75.33, 68.33, 68.33, 66.67, and 66.17 cm, respectively. These differences were significant (P < 0.05). The results revealed variable correlation coefficients among body measurements. Most body indices showed variation in estimated correlations between breed groups (P < 0.05). These findings revealed the presence of a wide range of differences for body measurements and the body indices among studied breeds. Such diversity in the body conformation is crucial to implement reliable selection strategies for breeding goats, Also, these findings can help to commence future step for appraisal of quantitative traits and initiate genome analysis.
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