ACTA VETERINARIA ET ZOOTECHNICA SINICA ›› 2018, Vol. 49 ›› Issue (3): 497-506.doi: 10.11843/j.issn.0366-6964.2018.03.005

Previous Articles     Next Articles

The Growth Curve Fitting and the Correlation Analysis between Body Weight and Body Measurements in Chinese Simmental Beef Cattle Population

LIANG Yong-hu1, ZHU Bo1, JIN Sheng-yun2, BAO Jin-shan2, XU Ling-yang1, CHEN Yan1, GAO Xue1, ZHANG Lu-pei1, GAO Hui-jiang1, LI Jun-ya1*   

  1. 1. Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
    2. Veterinary Bureau of Ulgai Precinct in Xilin Gol League, Ulgai 026321, China
  • Received:2017-08-17 Online:2018-03-23 Published:2018-03-23

Abstract:

This experiment was conducted to investigate the growth rule of the body weight and body size traits for Chinese Simmental beef cattle population in Ulgai of Inner Mongolia, and to construct the regression equation of body weight by body size. We measured the growth traits of 2 162 Simmental cattle including body weight, withers height, hip height, body length, chest circumference and abdominal girth from birth to 20 month old. Using Logistic, Brody, Gompertz and Bertallanffy models, we fitted the growth curves of these traits, and calculated the related parameters in the 4 curve equations, respectively. We also conducted correlation and regression analysis between body measurements and body weight. The results showed that all of the 4 kinds of growth curve fitting models in Chinese Simmental beef cattle had good fitting degree(R2 >0.98) for the growth of body measurements and body weight, but for different traits, the optimal fitting model was different. The correlation analysis between body weight and body measurements showed that correlations between body weight and body length, chest circumference, abdominal girth were higher, respectively. The correlation coefficient between body weight and chest circumference was the highest (0.958 55). The extremely significant correlations between body measurements and body weight were observed. The regression equation predicting body weight was Y=-366.485 70+1.307 37 X3+3.896 12 X4-0.417 50 X5. The results indicated that the fitting for body weights of Gompertz and Bertallanffy were better than the other two models, and the Brody model was the best for fitting the body height, body length, chest circumference, abdominal girth and hip height. The regression equation predicting body weight was proved to be of statistical significance, which will provide the data basis for the further breeding of Chinese Simmental beef cattle.

CLC Number: