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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Main Authors: Sandra Posada O., Luis Gomez O., Ricardo Rosero N.
Format: Article
Language:English
Published: Universidad de Cordoba 2014-03-01
Series:Revista MVZ Cordoba
Subjects:
Online Access:http://apps.unicordoba.edu.co/revistas/revistamvz/mvz-191/v19n1a11.pdf
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spelling 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
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