Study of dry matter accumulation in maize hybrids using nonlinear models

Abstract The objective of this work was to study the growth curves of total dry matter (TDM) accumulation of the P30F33 and GNZ2004 maize hybrids using nonlinear models. The used models were: Brody, Gompertz, logistic, Meloun I, Meloun II, Michaelis-Menten, modified Michaelis-Menten, Mitscherlich, R...

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Main Authors: Isolina Aparecida Vilas Bôas, Felipe Augusto Fernandes, Tales Jesus Fernandes, Joel Augusto Muniz
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2023-11-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2023000102605&tlng=en
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author Isolina Aparecida Vilas Bôas
Felipe Augusto Fernandes
Tales Jesus Fernandes
Joel Augusto Muniz
author_facet Isolina Aparecida Vilas Bôas
Felipe Augusto Fernandes
Tales Jesus Fernandes
Joel Augusto Muniz
author_sort Isolina Aparecida Vilas Bôas
collection DOAJ
description Abstract The objective of this work was to study the growth curves of total dry matter (TDM) accumulation of the P30F33 and GNZ2004 maize hybrids using nonlinear models. The used models were: Brody, Gompertz, logistic, Meloun I, Meloun II, Michaelis-Menten, modified Michaelis-Menten, Mitscherlich, Richards, Schnute, von Bertalanffy, and Weibull. To estimate the parameters, the least squares method and the Gauss-Newton convergence algorithm were used. The adjusted coefficient of determination, the residual standard deviation, and the Akaike information criterion were used as criteria to evaluate the goodness of fit of the models. The Gauss-Newton method did not converge for 8 out of the 12 models studied. The Gompertz, logistic, von Bertalanffy, and Weibull models were considered appropriate for fitting the dry matter accumulation of the evaluated maize hybrids. The estimated TDM was 34,700 and 31,980 kg ha−1 for GNZ2004 and P30F33, respectively. The maximum daily gain in TDM was 483 and 381 kg ha−1, respectively, reached at 83 days after emergence, with TDM stabilization at 121 and 129 days after emergence. The logistic model is the best one to describe the TDM accumulation of the GNZ2004 and P30F33 maize hybrids.
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spelling doaj.art-32108aeacdc442f892024ad1c120ac6f2023-11-28T07:41:55ZengEmbrapa Informação TecnológicaPesquisa Agropecuária Brasileira1678-39212023-11-015810.1590/s1678-3921.pab2023.v58.03077Study of dry matter accumulation in maize hybrids using nonlinear modelsIsolina Aparecida Vilas Bôashttps://orcid.org/0000-0001-6508-1487Felipe Augusto Fernandeshttps://orcid.org/0000-0003-2552-3433Tales Jesus Fernandeshttps://orcid.org/0000-0002-1457-9653Joel Augusto Munizhttps://orcid.org/0000-0002-1069-4136Abstract The objective of this work was to study the growth curves of total dry matter (TDM) accumulation of the P30F33 and GNZ2004 maize hybrids using nonlinear models. The used models were: Brody, Gompertz, logistic, Meloun I, Meloun II, Michaelis-Menten, modified Michaelis-Menten, Mitscherlich, Richards, Schnute, von Bertalanffy, and Weibull. To estimate the parameters, the least squares method and the Gauss-Newton convergence algorithm were used. The adjusted coefficient of determination, the residual standard deviation, and the Akaike information criterion were used as criteria to evaluate the goodness of fit of the models. The Gauss-Newton method did not converge for 8 out of the 12 models studied. The Gompertz, logistic, von Bertalanffy, and Weibull models were considered appropriate for fitting the dry matter accumulation of the evaluated maize hybrids. The estimated TDM was 34,700 and 31,980 kg ha−1 for GNZ2004 and P30F33, respectively. The maximum daily gain in TDM was 483 and 381 kg ha−1, respectively, reached at 83 days after emergence, with TDM stabilization at 121 and 129 days after emergence. The logistic model is the best one to describe the TDM accumulation of the GNZ2004 and P30F33 maize hybrids.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2023000102605&tlng=enZea maysmodellingplant growthregression analysis
spellingShingle Isolina Aparecida Vilas Bôas
Felipe Augusto Fernandes
Tales Jesus Fernandes
Joel Augusto Muniz
Study of dry matter accumulation in maize hybrids using nonlinear models
Pesquisa Agropecuária Brasileira
Zea mays
modelling
plant growth
regression analysis
title Study of dry matter accumulation in maize hybrids using nonlinear models
title_full Study of dry matter accumulation in maize hybrids using nonlinear models
title_fullStr Study of dry matter accumulation in maize hybrids using nonlinear models
title_full_unstemmed Study of dry matter accumulation in maize hybrids using nonlinear models
title_short Study of dry matter accumulation in maize hybrids using nonlinear models
title_sort study of dry matter accumulation in maize hybrids using nonlinear models
topic Zea mays
modelling
plant growth
regression analysis
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2023000102605&tlng=en
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