Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/32271
Title: Ajuste de modelos não lineares na descrição do acúmulo de micronutrientes do feijoeiro cultivar Ouro Vermelho
Other Titles: Adjustment of nonlinear models in the description of the micronutrient accumulation of the common bean Ouro Vermelho cultivar
Authors: Morais, Augusto Ramalho de
Muniz, Joel Augusto
Fernandes, Tales Jesus
Silva, Alessandra Querino da
Keywords: Feijão
Regressão não linear
Curva de crescimento
Modelo logístico
Issue Date: 21-Dec-2018
Publisher: Universidade Federal de Lavras
Citation: OLIVEIRA, M. B. R. de. Ajuste de modelos não lineares na descrição do acúmulo de micronutrientes do feijoeiro cultivar Ouro Vermelho. 2018. 62 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária)–Universidade Federal de Lavras, Lavras, 2018.
Abstract: The study of analysis of common bean growth through the accumulation of dry mass and micronutrients along the vegetative cycle is an important information tool for the aid of appropriate management, and possibly, detection of factors that directly affect in the plant’s development. For this reason, the modeling of growth can aid a better knowledge and application of agricultural practices. Therefore, the aim of this study was to analyze growth curves of dry matter and micronutrients such as boron, copper, iron, manganese and zinc in the aerial part of the common bean Ouro Vermelho cultivar, considering different seeding densities (75, 145, 215, 285 and 355 thousand plant ha -1), by adjusting nonlinear models, Logistic, Gompertz and von Bertalanffy, in the evaluation ages of the plants. The experiment was conducted at Universidade Federal de Lavras, in a randomized block design, with three replicates, in a 5 x 8 factorial scheme, being five seeding densities (75, 145, 215, 285 and 355 thousand plant ha -1) and eight evaluation period (13, 23, 33, 43, 53, 63, 73, 83 days after emergence). The method of estimation used was the Gauss Newton. Besides that, all analyzes of the work were conducted using the R open-source software environment. The nonlinear models Gompertz, Logistic, and von Bertalanffy were suitable to describe the common bean growth, making possible a classification of the antibiotic weight of the micronutrients and the period of occurrence of the greater accumulation. The Logistic model presented better adjustment properties and the accumulation of micronutrients was carried out through a sigmoidal trajectory.
URI: http://repositorio.ufla.br/jspui/handle/1/32271
Appears in Collections:DES - Estatística e Experimentação Agropecuária - Mestrado (Dissertações)



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