Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/43195
Title: Modelos não lineares com erro assimétrico para descrição do acúmulo de matéria seca do feijoeiro cultivar Bolinha
Other Titles: Nonlinear models with asymmetric error for description of accumulation of dry matter of the bean cultivar Bolinha
Authors: Morais, Augusto Ramalho de
Medeiros, Elias Silva de
Guimarães, Paulo Henrique Sales
Fernandes, Tales Jesus
Muniz, Joel Augusto
Keywords: Assimetria
Modelo de crescimento
Feijão
Skew
Growth model
Bean
Issue Date: 24-Sep-2020
Publisher: Universidade Federal de Lavras
Citation: LIMA, K. P. de. Modelos não lineares com erro assimétrico para descrição do acúmulo de matéria seca do feijoeiro cultivar Bolinha. 2020. 86 p. Tese (Doutorado em Estatística e Experimentação Agropecuária)–Universidade Federal de Lavras, Lavras, 2020.
Abstract: The study on the growth of common beans through the accumulation of dry matter along the time is of paramount importance for culture, as it becomes an informative tool in assistance in the proper management and in the detection of factors that affect the development of the plant. In this way, this study aimed to compare the nonlinear Logistic and Gompertz different probability distributions for errors incorporating asymmetry as normal, normal asymmetric and asymmetric t for the description of dry matter accumulation of common bean cultivar Bolinha. In addition, it presents an interface graphical parametric analysis. The experiment was carried out at the Federal University of Lavras, at period of the water harvest in 2006/2007 , in a causalized block design, containing three repetitions; formation the factorial scheme 5 x 8, being constituted of five densities sowing activities (75, 145, 215, 285 and 355 thousand plants per hectare), eight evaluation periods (13, 23, 33, 43, 53, 63, 73, 83 days after emergence) and dry matter accumulation was analyzed not total. As a result of the research of nonlinear models Logística and Gompertz proved adequate to describe the dry mass accumulation. The Logistic model with errors asymmetric normals and asymmetric t errors obtained better results. The Logistic Model with normal asymmetric errors, the densities 145, 285, 355 thousand plants per hectare stand out and for asymmetric t errors the densities 75 and 215 thousand plants per hectare.
Description: Arquivo retido, a pedido do(a) autor(a) até setembro de 2021.
URI: http://repositorio.ufla.br/jspui/handle/1/43195
Appears in Collections:DES - Estatística e Experimentação Agropecuária - Doutorado (Teses)

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