2012Tropical veterinarianRequires access

Estimation of Live Body Weight From Body Measurements in Nigerian Local Dogs

C. O. Emehelu, JI Eze, A Akune, KF Chah

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Abstract

This study was conducted to determine the relationship between live body weight of Nigerian local dogs and chest girth, abdominal girth and crown-rump length and to establish prediction equations for body weight determination. A total of 78 apparently healthy, non-pregnant Nigerian local dogs of both sexes were used in the study. The correlation coefficients between body weight and body measurements were positive and highly significant (p<0.001). Among the three body measurements, chest girth had the highest correlation coefficient followed by crown-rump length. When the three body measurements were included in the regression equation the coefficient of determination (R 2 =0.928) obtained was the same as when only chest girth and abdominal girth were included in the equation. When chest girth alone was used in the equation, a coefficient of determination of 0.927) was obtained. The mean actual body weight of the dogs was not significantly (t=0.016, p=0.987) different from body weight predicted using the chest girth measurement. The study has shown that the chest girth measurement could be a reliable determinant of body weight in Nigerian local dogs. Keywords : Body weight, Body measurements, Correlation, Nigerian local dog.

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What this paper is about

This study was conducted to determine the relationship between live body weight of Nigerian local dogs and chest girth, abdominal girth and crown-rump length and to establish prediction equations for body weight determination. A total of 78 apparently healthy, non-pregnant Nigerian local dogs of both sexes were used in the study. The correlation coefficients between body weight and body measurements were positive and highly significant (p<0.001). Among the three body measurements, chest girth had the highest correlation coefficient followed by crown-rump length. When the three body measurements were included in the regression equation the coefficient of determination (R 2 =0.928) obtained was the same as when only chest girth and abdominal girth were included in the equation. When chest girth alone was used in the equation, a coefficient of determination of 0.927) was obtained. The mean actual body weight of the dogs was not significantly (t=0.016, p=0.987) different from body weight predicted using the chest girth measurement. The study has shown that the chest girth measurement could be a reliable determinant of body weight in Nigerian local dogs. Keywords : Body weight, Body measurements, Correlation, Nigerian local dog.

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Available abstract

This study was conducted to determine the relationship between live body weight of Nigerian local dogs and chest girth, abdominal girth and crown-rump length and to establish prediction equations for body weight determination. A total of 78 apparently healthy, non-pregnant Nigerian local dogs of both sexes were used in the study. The correlation coefficients between body weight and body measurements were positive and highly significant (p<0.001). Among the three body measurements, chest girth had the highest correlation coefficient followed by crown-rump length. When the three body measurements were included in the regression equation the coefficient of determination (R 2 =0.928) obtained was the same as when only chest girth and abdominal girth were included in the equation. When chest girth alone was used in the equation, a coefficient of determination of 0.927) was obtained. The mean actual body weight of the dogs was not significantly (t=0.016, p=0.987) different from body weight predicted using the chest girth measurement. The study has shown that the chest girth measurement could be a reliable determinant of body weight in Nigerian local dogs. Keywords : Body weight, Body measurements, Correlation, Nigerian local dog.

Key concepts: Girth (graph theory), Rump, Body weight, Correlation coefficient, Animal science, Coefficient of determination, Body height, Medicine

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