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      Modelos para ajuste da produção de gases em silagens de girassol e milho Translated title: Models for fit of gas production in sunflower and corn silages

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          Abstract

          O objetivo deste trabalho foi identificar entre os modelos Brody, Von Bertalanffy, Gompertz, France, Logístico, Logístico modificado e Logístico bicompartimental, aquele que apresenta maior qualidade de ajuste à curva de produção cumulativa de gases em silagens de girassol e milho. Os critérios adotados foram: coeficiente de determinação, quadrado médio do resíduo, análise gráfica das curvas observadas e estimadas, análise gráfica de dispersão dos resíduos estudentizados, erro percentual médio, eficiência relativa e número de iterações para atingir a convergência. Os modelos Brody, France e Logístico bicompartimental apresentaram os maiores valores de coeficiente de determinação em ambos os substratos, e a diferença entre eles pode ser considerada desprezível. Estes modelos apresentaram, também, os menores valores de quadrado médio do resíduo em silagens de girassol, e a diferença entre eles foi considerada desprezível. Os modelos Brody e France apresentaram menor quadrado médio do resíduo em silagens de milho. Todos os modelos apresentaram dispersão positiva dos resíduos em ambos os substratos após 144 horas de incubação. O modelo Brody apresentou menor erro percentual médio e número de iterações em ambos os substratos. Os modelos Logístico bicompartimental e France apresentaram maior eficiência relativa, respectivamente, em silagens de girassol e milho. Assim, o modelo Logístico bicompartimental apresenta maior qualidade de ajuste à curva de produção de gases em silagens de girassol e milho.

          Translated abstract

          The aim of this work was to identify among the Brody, Von Bertalanffy, Gompertz, France, Logistic, Modified logistic and Dual-pool logistic models, the one that presents the highest quality of fit for cumulative gas production curve in sunflower and corn silages. The quality of fit was evaluated by coefficient of determination, residual mean square, graphic analysis of the observed and estimated curves, graphic analysis of dispersion of the studentized residual, average percentage error, relative efficiency and number of iteractions to converge. Brody, France and Dual-pool logistic models showed the largest values of coefficient of determination in both substrates, and the difference among them was considered worthless. They also showed the smallest values of residual mean square in sunflower silages, being the difference among them considered worthless. Brody and France models presented smaller residual mean square in corn silages. All the models showed positive dispersion of the residual in both substrates after 144 hours of incubation. The Brody model showed smaller average percentage error and number of iterations in both substrates. The Dual-pool logistic and France models showed higher relative efficiency, respectively, in sunflower and corn silages. Thus, the Dual-pool logistic model showed higher quality of fit to the gas production curve in sunflower and corn silages.

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          A revised model for the estimation of protein degradability in the rumen

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            A semi-automated in vitro gas production technique for ruminant feedstuff evaluation

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              Introdução aos modelos de regressão linear e não-linear

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                pab
                Pesquisa Agropecuária Brasileira
                Pesq. agropec. bras.
                Embrapa Informação Tecnológica (Brasília )
                1678-3921
                February 2008
                : 43
                : 2
                : 261-269
                Affiliations
                [1 ] Universidade Federal de Roraima Brazil
                [2 ] Universidade Federal Rural de Pernambuco
                [3 ] Universidade Federal de Viçosa Brazil
                Article
                S0100-204X2008000200016
                10.1590/S0100-204X2008000200016
                402f7948-6c35-4e46-8eb3-c56c35ba7506

                http://creativecommons.org/licenses/by/4.0/

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                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=0100-204X&lng=en
                Categories
                AGRICULTURE, DAIRY & ANIMAL SCIENCE
                AGRICULTURE, MULTIDISCIPLINARY

                Animal agriculture,General agriculture
                mathematical models,nonlinear models,cinética,in vitro,modelo matemático,modelos não-lineares,kinetics

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