This work aims to analyze the correlation between body weight and other growth traits, meanwhile establishing the optimal regression equation. Our results have pointed out that all the growth traits were positively correlated to body weight at a significant level in Luxi cattle (population 1, P<0.01). Specifically, abdominal circumference (X5), body height (X1), and heart girth (X3) exerted a stronger direct influence on body weight than those growth traits. The optimal regression equation of growth traits to body weight in Luxi cattle was: Y=2.374X1+2.455X3+2.721X5-923.527 (R=0.955, P<0.01). Based on the optimal regression equation, we predicted the body weight of Luxi cattle (population 2), as well as combined population 1 and population 2 to population 3. Then, the correlation between body weight and body height (X1), heart girth (X3), and abdominal circumference (X5), also the correlation coefficient was split. The results illustrated that the chest circumference (X3), which had the highest correlation with body weight (Y), had the greatest direct effect on body weight (P=0.939), and the body height (X1), which had the smallest correlation coefficient with body weight, had a stronger indirect effect on body weight. In conclusion, body height, chest circumference and abdominal circumference showed the potential as three important indicators to provide scientific information for the subsequent evaluation of the growth and development performance of Luxi cattle. |