Adjustment of growth models in broiler chickens
Abstract: The objective of this work was to investigate adjustments of the Gompertz, Logistic, von Bertalanffy, and Richards growth models, in male and female chickens of the Cobb 500, Ross 308, and Hubbard Flex lines. Initially, 1,800 chickens were randomly housed in 36 pens, with six replicates pe...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Embrapa Informação Tecnológica
2017-12-01
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| Series: | Pesquisa Agropecuária Brasileira |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001201241&tlng=en |
| _version_ | 1798021692174368768 |
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| author | Leandro Félix Demuner Diana Suckeveris Julian Andrés Muñoz Vinicius Camargo Caetano Cesar Gonçalves de Lima Daniel Emygdio de Faria Filho Douglas Emygdio de Faria |
| author_facet | Leandro Félix Demuner Diana Suckeveris Julian Andrés Muñoz Vinicius Camargo Caetano Cesar Gonçalves de Lima Daniel Emygdio de Faria Filho Douglas Emygdio de Faria |
| author_sort | Leandro Félix Demuner |
| collection | DOAJ |
| description | Abstract: The objective of this work was to investigate adjustments of the Gompertz, Logistic, von Bertalanffy, and Richards growth models, in male and female chickens of the Cobb 500, Ross 308, and Hubbard Flex lines. Initially, 1,800 chickens were randomly housed in 36 pens, with six replicates per lineage and sex, fed ad libitum with feed according to gender, and bred until 56 days of age. Average weekly body weight for each line and sex was used to estimate model parameters using the ordinary least squares, weighted by the inverse variance of the body weight and weighted with a first-order autocorrelated error structure. Weighted models and weighted autocorrelated error models showed different parameter values when compared with the unweighted models, modifying the inflection point of the curve and according to the adjusted coefficient of determination, and the standard deviation of the residue and Akaike information criteria exhibited optimal adjustments. Among the models studied, the Richards and the Gompertz models had the best adjustments in all situations, with more realistic parameter estimates. However, the weighted Richards model, with or without ponderation with the autoregressive first order model AR (1), exhibited the best adjustments in females and males, respectively. |
| first_indexed | 2024-04-11T17:18:44Z |
| format | Article |
| id | doaj.art-0b58ae9df62e4f76b486a266b08a155d |
| institution | Directory Open Access Journal |
| issn | 1678-3921 |
| language | English |
| last_indexed | 2024-04-11T17:18:44Z |
| publishDate | 2017-12-01 |
| publisher | Embrapa Informação Tecnológica |
| record_format | Article |
| series | Pesquisa Agropecuária Brasileira |
| spelling | doaj.art-0b58ae9df62e4f76b486a266b08a155d2022-12-22T04:12:33ZengEmbrapa Informação TecnológicaPesquisa Agropecuária Brasileira1678-39212017-12-0152121241125210.1590/s0100-204x2017001200013Adjustment of growth models in broiler chickensLeandro Félix DemunerDiana SuckeverisJulian Andrés MuñozVinicius Camargo CaetanoCesar Gonçalves de LimaDaniel Emygdio de Faria FilhoDouglas Emygdio de FariaAbstract: The objective of this work was to investigate adjustments of the Gompertz, Logistic, von Bertalanffy, and Richards growth models, in male and female chickens of the Cobb 500, Ross 308, and Hubbard Flex lines. Initially, 1,800 chickens were randomly housed in 36 pens, with six replicates per lineage and sex, fed ad libitum with feed according to gender, and bred until 56 days of age. Average weekly body weight for each line and sex was used to estimate model parameters using the ordinary least squares, weighted by the inverse variance of the body weight and weighted with a first-order autocorrelated error structure. Weighted models and weighted autocorrelated error models showed different parameter values when compared with the unweighted models, modifying the inflection point of the curve and according to the adjusted coefficient of determination, and the standard deviation of the residue and Akaike information criteria exhibited optimal adjustments. Among the models studied, the Richards and the Gompertz models had the best adjustments in all situations, with more realistic parameter estimates. However, the weighted Richards model, with or without ponderation with the autoregressive first order model AR (1), exhibited the best adjustments in females and males, respectively.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001201241&tlng=enautocorrelated errorsautoregressive modelpoultry sciencehomogeneity of variancemathematical modelweighting structures |
| spellingShingle | Leandro Félix Demuner Diana Suckeveris Julian Andrés Muñoz Vinicius Camargo Caetano Cesar Gonçalves de Lima Daniel Emygdio de Faria Filho Douglas Emygdio de Faria Adjustment of growth models in broiler chickens Pesquisa Agropecuária Brasileira autocorrelated errors autoregressive model poultry science homogeneity of variance mathematical model weighting structures |
| title | Adjustment of growth models in broiler chickens |
| title_full | Adjustment of growth models in broiler chickens |
| title_fullStr | Adjustment of growth models in broiler chickens |
| title_full_unstemmed | Adjustment of growth models in broiler chickens |
| title_short | Adjustment of growth models in broiler chickens |
| title_sort | adjustment of growth models in broiler chickens |
| topic | autocorrelated errors autoregressive model poultry science homogeneity of variance mathematical model weighting structures |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001201241&tlng=en |
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