Application of the logistic model to describe the growth curve in dogs of different breeds
Objective. To model the growth in dogs of different size and breeds that during their development showed a relative body weight according to the standards of their racial group. Materials and methods. The data used were obtained from the Canine Research Center (CIC), property of Empresa Solla S.A.,...
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Universidad de Cordoba
2014-03-01
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doaj-cac904e678104ac09ddf9a4fbd818bda2020-11-24T23:45:57ZengUniversidad de CordobaRevista MVZ Cordoba0122-02681909-05442014-03-0119140154022Application of the logistic model to describe the growth curve in dogs of different breedsSandra Posada O.0Luis Gomez O.1Ricardo Rosero N.2Universidad de Antioquia, Faculty of Agricultural Sciences, Animal Science Research Group-GRICA, AA 1226, Medellin, Colombia.Empresa Solla S.A., AA 1272, Medellin, Colombia.Universidad de Antioquia, Faculty of Agricultural Sciences, Animal Science Research Group-GRICA, AA 1226, Medellin, Colombia.Objective. To model the growth in dogs of different size and breeds that during their development showed a relative body weight according to the standards of their racial group. Materials and methods. The data used were obtained from the Canine Research Center (CIC), property of Empresa Solla S.A., located in the municipality of Rionegro (Antioquia, Colombia). The parameters of the growth curve were defined based on the logistic model using the procedure PROC NLIN of the SAS. Results. The adult weight (a) ranged from 2.12 Kg (York Shire Terrier) to 32.88 Kg (Weimaraner). For small, medium and large breeds, growth rates (1/b) during the exponential phase ranged between 9.91-18.91%, 9.12-13.83% and, 8.17-14.38%, respectively, and the average age at which 50% of the adult weight was reached (x0) was 3.49±0.03, 4.21±0.42 y 5.27±0.86 months, correspondingly. Large dog breeds reached maturity (T99) later than smaller breeds, 14.37±1.79 vs. 9.46±1.63 mo. Conclusions. The logistic model was able to describe the growth in dogs of different size, however, a larger sample size will improve its predictive ability, given the individual variability that characterizes growth.http://apps.unicordoba.edu.co/revistas/revistamvz/mvz-191/v19n1a11.pdfBody sizebody weightgrowth modelgrowth rateregression analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sandra Posada O. Luis Gomez O. Ricardo Rosero N. |
spellingShingle |
Sandra Posada O. Luis Gomez O. Ricardo Rosero N. Application of the logistic model to describe the growth curve in dogs of different breeds Revista MVZ Cordoba Body size body weight growth model growth rate regression analysis |
author_facet |
Sandra Posada O. Luis Gomez O. Ricardo Rosero N. |
author_sort |
Sandra Posada O. |
title |
Application of the logistic model to describe the growth curve in dogs of different breeds |
title_short |
Application of the logistic model to describe the growth curve in dogs of different breeds |
title_full |
Application of the logistic model to describe the growth curve in dogs of different breeds |
title_fullStr |
Application of the logistic model to describe the growth curve in dogs of different breeds |
title_full_unstemmed |
Application of the logistic model to describe the growth curve in dogs of different breeds |
title_sort |
application of the logistic model to describe the growth curve in dogs of different breeds |
publisher |
Universidad de Cordoba |
series |
Revista MVZ Cordoba |
issn |
0122-0268 1909-0544 |
publishDate |
2014-03-01 |
description |
Objective. To model the growth in dogs of different size and breeds that during their development showed a relative body weight according to the standards of their racial group. Materials and methods. The data used were obtained from the Canine Research Center (CIC), property of Empresa Solla S.A., located in the municipality of Rionegro (Antioquia, Colombia). The parameters of the growth curve were defined based on the logistic model using the procedure PROC NLIN of the SAS. Results. The adult weight (a) ranged from 2.12 Kg (York Shire Terrier) to 32.88 Kg (Weimaraner). For small, medium and large breeds, growth rates (1/b) during the exponential phase ranged between 9.91-18.91%, 9.12-13.83% and, 8.17-14.38%, respectively, and the average age at which 50% of the adult weight was reached (x0) was 3.49±0.03, 4.21±0.42 y 5.27±0.86 months, correspondingly. Large dog breeds reached maturity (T99) later than smaller breeds, 14.37±1.79 vs. 9.46±1.63 mo. Conclusions. The logistic model was able to describe the growth in dogs of different size, however, a larger sample size will improve its predictive ability, given the individual variability that characterizes growth. |
topic |
Body size body weight growth model growth rate regression analysis |
url |
http://apps.unicordoba.edu.co/revistas/revistamvz/mvz-191/v19n1a11.pdf |
work_keys_str_mv |
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