Evaluation of mathematical models to describe growth of grazing young bulls

The objective of this study was to evaluate the use of different mathematical models to describe growth of grazing beef cattle. Data of 20 Nellore bulls with initial weight of 129±28.1 kg and final weight of 405±62.0 kg were used. The animals were randomly divided into four plots and placed on B. de...

Full description

Bibliographic Details
Main Authors: Henrique Jorge Fernandes, Luis Orlindo Tedeschi, Mário Fonseca Paulino, Edenio Detmann, Luisa Melville Paiva, Sebastião de Campos Valadares Filho, Aline Gomes da Silva, José Augusto Gomes Azevêdo
Format: Article
Language:English
Published: Sociedade Brasileira de Zootecnia 2012-02-01
Series:Revista Brasileira de Zootecnia
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982012000200020
_version_ 1818426814166466560
author Henrique Jorge Fernandes
Luis Orlindo Tedeschi
Mário Fonseca Paulino
Edenio Detmann
Luisa Melville Paiva
Sebastião de Campos Valadares Filho
Aline Gomes da Silva
José Augusto Gomes Azevêdo
author_facet Henrique Jorge Fernandes
Luis Orlindo Tedeschi
Mário Fonseca Paulino
Edenio Detmann
Luisa Melville Paiva
Sebastião de Campos Valadares Filho
Aline Gomes da Silva
José Augusto Gomes Azevêdo
author_sort Henrique Jorge Fernandes
collection DOAJ
description The objective of this study was to evaluate the use of different mathematical models to describe growth of grazing beef cattle. Data of 20 Nellore bulls with initial weight of 129±28.1 kg and final weight of 405±62.0 kg were used. The animals were randomly divided into four plots and placed on B. decumbens Stapf pastures. Three plots received concentrate supplement with different protein profiles and the fourth plot received only mineral supplement. Animals were weighed every 28 days to design growth curve of full body weight. Five mathematical models were evaluated to describe animal growth: Multiphase, Linear, Logarithmic, Gompertz and Logistic models. Assessment of adequacy of the models was performed by using coefficient of determination, simultaneous F-test for identity of parameters, concordance correlation coefficient, root of the mean square error of prediction and partition of the mean square error of prediction. The analysis of the pairwise mean square error of prediction and the delta Akaike's information criterion were used to compare the models for accuracy and precision. Evaluation of all the tested models showed that all of them were able to predict variability among animals. However, Gompertz, Logarithmic and Logistic models created individual predictions that were not satisfactory. Models differed from each other concerning accuracy and precision; the best were in the following order: Multiphase, Linear, Gompertz, Logarithmic and Logistic. The Multiphase model was more efficient than the others for description of grazing beef cattle growth.
first_indexed 2024-12-14T14:35:48Z
format Article
id doaj.art-4898f3d50f4640829eb19c4c4aaa8342
institution Directory Open Access Journal
issn 1516-3598
1806-9290
language English
last_indexed 2024-12-14T14:35:48Z
publishDate 2012-02-01
publisher Sociedade Brasileira de Zootecnia
record_format Article
series Revista Brasileira de Zootecnia
spelling doaj.art-4898f3d50f4640829eb19c4c4aaa83422022-12-21T22:57:39ZengSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia1516-35981806-92902012-02-0141236737310.1590/S1516-35982012000200020Evaluation of mathematical models to describe growth of grazing young bullsHenrique Jorge FernandesLuis Orlindo TedeschiMário Fonseca PaulinoEdenio DetmannLuisa Melville PaivaSebastião de Campos Valadares FilhoAline Gomes da SilvaJosé Augusto Gomes AzevêdoThe objective of this study was to evaluate the use of different mathematical models to describe growth of grazing beef cattle. Data of 20 Nellore bulls with initial weight of 129±28.1 kg and final weight of 405±62.0 kg were used. The animals were randomly divided into four plots and placed on B. decumbens Stapf pastures. Three plots received concentrate supplement with different protein profiles and the fourth plot received only mineral supplement. Animals were weighed every 28 days to design growth curve of full body weight. Five mathematical models were evaluated to describe animal growth: Multiphase, Linear, Logarithmic, Gompertz and Logistic models. Assessment of adequacy of the models was performed by using coefficient of determination, simultaneous F-test for identity of parameters, concordance correlation coefficient, root of the mean square error of prediction and partition of the mean square error of prediction. The analysis of the pairwise mean square error of prediction and the delta Akaike's information criterion were used to compare the models for accuracy and precision. Evaluation of all the tested models showed that all of them were able to predict variability among animals. However, Gompertz, Logarithmic and Logistic models created individual predictions that were not satisfactory. Models differed from each other concerning accuracy and precision; the best were in the following order: Multiphase, Linear, Gompertz, Logarithmic and Logistic. The Multiphase model was more efficient than the others for description of grazing beef cattle growth.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982012000200020grazing beef cattlemodelingseasonality
spellingShingle Henrique Jorge Fernandes
Luis Orlindo Tedeschi
Mário Fonseca Paulino
Edenio Detmann
Luisa Melville Paiva
Sebastião de Campos Valadares Filho
Aline Gomes da Silva
José Augusto Gomes Azevêdo
Evaluation of mathematical models to describe growth of grazing young bulls
Revista Brasileira de Zootecnia
grazing beef cattle
modeling
seasonality
title Evaluation of mathematical models to describe growth of grazing young bulls
title_full Evaluation of mathematical models to describe growth of grazing young bulls
title_fullStr Evaluation of mathematical models to describe growth of grazing young bulls
title_full_unstemmed Evaluation of mathematical models to describe growth of grazing young bulls
title_short Evaluation of mathematical models to describe growth of grazing young bulls
title_sort evaluation of mathematical models to describe growth of grazing young bulls
topic grazing beef cattle
modeling
seasonality
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982012000200020
work_keys_str_mv AT henriquejorgefernandes evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls
AT luisorlindotedeschi evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls
AT mariofonsecapaulino evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls
AT edeniodetmann evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls
AT luisamelvillepaiva evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls
AT sebastiaodecamposvaladaresfilho evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls
AT alinegomesdasilva evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls
AT joseaugustogomesazevedo evaluationofmathematicalmodelstodescribegrowthofgrazingyoungbulls