Modelagem não linear da biomassa seca do feijoeiro cv. Jalo
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/39899 |
Resumo: | Beans are an important agricultural crop in the Brazilian economy, and the country stands out as the biggest producer and consumer of the grain. As a short vegetative cycle, knowledge of its growth curves becomes an informative tool, which can aid in more efficient management; besides enabling the detection of factors that affect the development of the plant. The objective of this study was to describe the accumulation of dry biomass of common bean cv. Jalo by adjusting nonlinear regression models. The data were obtained from an experiment conducted in contiguous areas with no - tillage and conventional no - tillage, in which a randomized block design with three replications was used, with treatments arranged in a 5x7 factorial scheme, involving five seed densities (75, 145, 215 , 285, 355 thousand plants per ha-1) and seven evaluation periods (from 13 to 73 days after emergence (DAE) in the conventional plantation, and from 10 to 70 DAE in no-tillage). The accumulation of dry biomass in the different parts of the plant (stem, stem and leaf, stem, leaf and pod, stem, leaf, pod and grain) was analyzed. The accumulation of dry biomass was different among sowing densities, with higher accumulations at higher densities. In the direct plantation, there were larger accumulations of biomass in relation to the conventional plantation, with relative precocity. The logistic model was selected as the most efficient in describing the growth in dry biomass accumulation of common bean. |
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Modelagem não linear da biomassa seca do feijoeiro cv. JaloPhaseolus vulgaris L.Regressão não linearAnálise da variânciaModelo logísticoCurva de crescimentoNonlinear regressionAnalysis of varianceLogistic modelGrowth curveBeans are an important agricultural crop in the Brazilian economy, and the country stands out as the biggest producer and consumer of the grain. As a short vegetative cycle, knowledge of its growth curves becomes an informative tool, which can aid in more efficient management; besides enabling the detection of factors that affect the development of the plant. The objective of this study was to describe the accumulation of dry biomass of common bean cv. Jalo by adjusting nonlinear regression models. The data were obtained from an experiment conducted in contiguous areas with no - tillage and conventional no - tillage, in which a randomized block design with three replications was used, with treatments arranged in a 5x7 factorial scheme, involving five seed densities (75, 145, 215 , 285, 355 thousand plants per ha-1) and seven evaluation periods (from 13 to 73 days after emergence (DAE) in the conventional plantation, and from 10 to 70 DAE in no-tillage). The accumulation of dry biomass in the different parts of the plant (stem, stem and leaf, stem, leaf and pod, stem, leaf, pod and grain) was analyzed. The accumulation of dry biomass was different among sowing densities, with higher accumulations at higher densities. In the direct plantation, there were larger accumulations of biomass in relation to the conventional plantation, with relative precocity. The logistic model was selected as the most efficient in describing the growth in dry biomass accumulation of common bean.O feijoeiro é uma importante cultura agrícola na economia brasileira, sendo que o país se destaca como maior produtor e consumidor do grão. Como ciclo vegetativo curto, o conhecimento de suas curvas de crescimento torna-se uma ferramenta informativa, que pode auxiliar em manejo mais eficiente; além de possibilitar a detecção de fatores que afetam o desenvolvimento da planta. Assim, objetivou-se descrever o acúmulo de biomassa seca do feijoeiro cv. Jalo por meio do ajuste de modelos de regressão não lineares. Os dados foram obtidos de experimento conduzido em áreas contíguas com plantio direto e convencional, nas quais se utilizou o delineamento em blocos casualizados, com três repetições, com os tratamentos dispostos em esquema fatorial 5x7, envolvendo cinco densidades de semeaduras (75, 145, 215, 285, 355 mil plantas por ha-1) e sete épocas de avaliação (dos 13 aos 73 dias após à emergência (DAE), no plantio convencional, e dos 10 aos 70 DAE, no plantio direto). Foi analisado o acúmulo de biomassa seca nas diferentes partes da planta (Haste, Haste e Folha; Haste, Folha e Vagem; Haste, Folha, Vagem e Grão). O acúmulo de biomassa seca foi distinto entre as densidades de semeadura, com maiores acúmulos nas maiores densidades. No plantio direto ocorreram maiores acúmulos de biomassa em relação ao plantio convencional, com relativa precocidade. O modelo logístico foi o selecionado como o mais eficiente na descrição do crescimento em acúmulo de biomassa seca do feijoeiro.Universidade Federal de Alfenas2020-04-08T17:29:08Z2020-04-08T17:29:08Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLIMA, K. P. et al. Modelagem não linear da biomassa seca do feijoeiro cv. Jalo. Sigmae, Alfenas, v. 8, n. 2, p. 359-369, 2019.http://repositorio.ufla.br/jspui/handle/1/39899Sigmaereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessLima, Kelly Pereira deSilva, Laís MesquitaVieira, Neiva Maria BatistaMorais, Augusto Ramalho deAndrade, Messias José Bastos depor2020-04-08T17:30:00Zoai:localhost:1/39899Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-04-08T17:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo |
title |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo |
spellingShingle |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo Lima, Kelly Pereira de Phaseolus vulgaris L. Regressão não linear Análise da variância Modelo logístico Curva de crescimento Nonlinear regression Analysis of variance Logistic model Growth curve |
title_short |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo |
title_full |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo |
title_fullStr |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo |
title_full_unstemmed |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo |
title_sort |
Modelagem não linear da biomassa seca do feijoeiro cv. Jalo |
author |
Lima, Kelly Pereira de |
author_facet |
Lima, Kelly Pereira de Silva, Laís Mesquita Vieira, Neiva Maria Batista Morais, Augusto Ramalho de Andrade, Messias José Bastos de |
author_role |
author |
author2 |
Silva, Laís Mesquita Vieira, Neiva Maria Batista Morais, Augusto Ramalho de Andrade, Messias José Bastos de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Lima, Kelly Pereira de Silva, Laís Mesquita Vieira, Neiva Maria Batista Morais, Augusto Ramalho de Andrade, Messias José Bastos de |
dc.subject.por.fl_str_mv |
Phaseolus vulgaris L. Regressão não linear Análise da variância Modelo logístico Curva de crescimento Nonlinear regression Analysis of variance Logistic model Growth curve |
topic |
Phaseolus vulgaris L. Regressão não linear Análise da variância Modelo logístico Curva de crescimento Nonlinear regression Analysis of variance Logistic model Growth curve |
description |
Beans are an important agricultural crop in the Brazilian economy, and the country stands out as the biggest producer and consumer of the grain. As a short vegetative cycle, knowledge of its growth curves becomes an informative tool, which can aid in more efficient management; besides enabling the detection of factors that affect the development of the plant. The objective of this study was to describe the accumulation of dry biomass of common bean cv. Jalo by adjusting nonlinear regression models. The data were obtained from an experiment conducted in contiguous areas with no - tillage and conventional no - tillage, in which a randomized block design with three replications was used, with treatments arranged in a 5x7 factorial scheme, involving five seed densities (75, 145, 215 , 285, 355 thousand plants per ha-1) and seven evaluation periods (from 13 to 73 days after emergence (DAE) in the conventional plantation, and from 10 to 70 DAE in no-tillage). The accumulation of dry biomass in the different parts of the plant (stem, stem and leaf, stem, leaf and pod, stem, leaf, pod and grain) was analyzed. The accumulation of dry biomass was different among sowing densities, with higher accumulations at higher densities. In the direct plantation, there were larger accumulations of biomass in relation to the conventional plantation, with relative precocity. The logistic model was selected as the most efficient in describing the growth in dry biomass accumulation of common bean. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2020-04-08T17:29:08Z 2020-04-08T17:29:08Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
LIMA, K. P. et al. Modelagem não linear da biomassa seca do feijoeiro cv. Jalo. Sigmae, Alfenas, v. 8, n. 2, p. 359-369, 2019. http://repositorio.ufla.br/jspui/handle/1/39899 |
identifier_str_mv |
LIMA, K. P. et al. Modelagem não linear da biomassa seca do feijoeiro cv. Jalo. Sigmae, Alfenas, v. 8, n. 2, p. 359-369, 2019. |
url |
http://repositorio.ufla.br/jspui/handle/1/39899 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Alfenas |
publisher.none.fl_str_mv |
Universidade Federal de Alfenas |
dc.source.none.fl_str_mv |
Sigmae reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1815439051012964352 |