Mathematical models to describe the growth curves of white-egg layers
The aim of this study was to compare mathematical models describing growth curves of white-egg layers at different population densities. To fit the models, 4,000 growing white-egg layers were utilized. The experimental design was completely randomized, with population densities of 71, 68, 65, 62, an...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Universidade Estadual de Londrina
2018-05-01
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| Series: | Semina: Ciências Agrárias |
| Subjects: | |
| Online Access: | http://www.uel.br/revistas/uel/index.php/semagrarias/article/view/30565 |
| _version_ | 1818293807597223936 |
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| author | Cleber Franklin Santos de Oliveira João Marcos Novais Tavares Gerusa da Silva Salles Corrêa Bruno Serpa Vieira Silvana Alves Pedrozo Vitalino Barbosa André Brito Corrêa Cristina Amorim Ribeiro de Lima |
| author_facet | Cleber Franklin Santos de Oliveira João Marcos Novais Tavares Gerusa da Silva Salles Corrêa Bruno Serpa Vieira Silvana Alves Pedrozo Vitalino Barbosa André Brito Corrêa Cristina Amorim Ribeiro de Lima |
| author_sort | Cleber Franklin Santos de Oliveira |
| collection | DOAJ |
| description | The aim of this study was to compare mathematical models describing growth curves of white-egg layers at different population densities. To fit the models, 4,000 growing white-egg layers were utilized. The experimental design was completely randomized, with population densities of 71, 68, 65, 62, and 59 birds per cage in the starter phase and 19, 17, 15, 13, and 11 birds per cage in the grower phase, with 10 replicates each. Birds were weighed weekly to determine the average body weight and the weight gain. Gompertz and Logistic models were utilized to estimate their growth. The data analysis was carried out using the PROC NLMIXED procedure of the SAS® statistical computer software to estimate the parameters of the equation because mixed models were employed. The mean squared error, the coefficient of determination, and Akaike’s information criterion were used to evaluate the quality of fit of the models. The studied models converged for the description of the growth of the birds at the different densities studied, showing that they were appropriate for estimating the growth of white-egg layers housed at different population densities. The Gompertz model showed a better fit than the Logistic model. |
| first_indexed | 2024-12-13T03:21:43Z |
| format | Article |
| id | doaj.art-463cbb6587a547a2b83d8ec6e4e9b281 |
| institution | Directory Open Access Journal |
| issn | 1676-546X 1679-0359 |
| language | English |
| last_indexed | 2024-12-13T03:21:43Z |
| publishDate | 2018-05-01 |
| publisher | Universidade Estadual de Londrina |
| record_format | Article |
| series | Semina: Ciências Agrárias |
| spelling | doaj.art-463cbb6587a547a2b83d8ec6e4e9b2812022-12-22T00:01:20ZengUniversidade Estadual de LondrinaSemina: Ciências Agrárias1676-546X1679-03592018-05-013931327133410.5433/1679-0359.2018v39n3p132717257Mathematical models to describe the growth curves of white-egg layersCleber Franklin Santos de Oliveira0João Marcos Novais Tavares1Gerusa da Silva Salles Corrêa2Bruno Serpa Vieira3Silvana Alves Pedrozo Vitalino Barbosa4André Brito Corrêa5Cristina Amorim Ribeiro de Lima6Universidade Federal de Mato GrossoUniversidade Federal de Mato GrossoUniversidade Federal de Mato GrossoUniversidade Federal de Mato GrossoInstituto Federal de Mato GrossoUniversidade Federal de Mato GrossoUniversidade Federal Rural do Rio de JaneiroThe aim of this study was to compare mathematical models describing growth curves of white-egg layers at different population densities. To fit the models, 4,000 growing white-egg layers were utilized. The experimental design was completely randomized, with population densities of 71, 68, 65, 62, and 59 birds per cage in the starter phase and 19, 17, 15, 13, and 11 birds per cage in the grower phase, with 10 replicates each. Birds were weighed weekly to determine the average body weight and the weight gain. Gompertz and Logistic models were utilized to estimate their growth. The data analysis was carried out using the PROC NLMIXED procedure of the SAS® statistical computer software to estimate the parameters of the equation because mixed models were employed. The mean squared error, the coefficient of determination, and Akaike’s information criterion were used to evaluate the quality of fit of the models. The studied models converged for the description of the growth of the birds at the different densities studied, showing that they were appropriate for estimating the growth of white-egg layers housed at different population densities. The Gompertz model showed a better fit than the Logistic model.http://www.uel.br/revistas/uel/index.php/semagrarias/article/view/30565GompertzPerformancePoultry. |
| spellingShingle | Cleber Franklin Santos de Oliveira João Marcos Novais Tavares Gerusa da Silva Salles Corrêa Bruno Serpa Vieira Silvana Alves Pedrozo Vitalino Barbosa André Brito Corrêa Cristina Amorim Ribeiro de Lima Mathematical models to describe the growth curves of white-egg layers Semina: Ciências Agrárias Gompertz Performance Poultry. |
| title | Mathematical models to describe the growth curves of white-egg layers |
| title_full | Mathematical models to describe the growth curves of white-egg layers |
| title_fullStr | Mathematical models to describe the growth curves of white-egg layers |
| title_full_unstemmed | Mathematical models to describe the growth curves of white-egg layers |
| title_short | Mathematical models to describe the growth curves of white-egg layers |
| title_sort | mathematical models to describe the growth curves of white egg layers |
| topic | Gompertz Performance Poultry. |
| url | http://www.uel.br/revistas/uel/index.php/semagrarias/article/view/30565 |
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