Nonlinear regression and plot size to estimate green beans production

Detalhes bibliográficos
Autor(a) principal: Lucio,Alessandro DC
Data de Publicação: 2016
Outros Autores: Nunes,Luis F, Rego,Francisco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Horticultura Brasileira
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362016000400507
Resumo: ABSTRACT The objectives of this work were to adjust nonlinear regression models for the green beans production and to identify the plot size which provides the best explanation and adjustment to the models. The authors used two field and two protected environment (plastic tunnel) trials in the autumn-winter and spring-summer seasons. The logistic and von Bertalanffy models were adjusted for average weight of green beans accumulated after multiple harvests and with different plot sizes. The models presented similar estimates and the same parameters estimates in all the plot sizes. The logistic model provided estimates closest to the reality, showing the best description performance for the average weight of pods during the productive cycle. In the autumn-winter season, plot size of 14 basic units (28 plants in the cultivation line direction) in the field and of two basic units (four plants in the cultivation line direction) under the plastic tunnel provide a good quality in the models adjustment. In the spring-summer season, the plot sizes are made of six basic units (12 plants in the cultivation line) in the field and seven basic units (14 plants in the cultivation line) under the plastic tunnel.
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spelling Nonlinear regression and plot size to estimate green beans productionPhaseolus vulgarisgrowth modelslogistic modelvon Bertalanffy modelhorticultureABSTRACT The objectives of this work were to adjust nonlinear regression models for the green beans production and to identify the plot size which provides the best explanation and adjustment to the models. The authors used two field and two protected environment (plastic tunnel) trials in the autumn-winter and spring-summer seasons. The logistic and von Bertalanffy models were adjusted for average weight of green beans accumulated after multiple harvests and with different plot sizes. The models presented similar estimates and the same parameters estimates in all the plot sizes. The logistic model provided estimates closest to the reality, showing the best description performance for the average weight of pods during the productive cycle. In the autumn-winter season, plot size of 14 basic units (28 plants in the cultivation line direction) in the field and of two basic units (four plants in the cultivation line direction) under the plastic tunnel provide a good quality in the models adjustment. In the spring-summer season, the plot sizes are made of six basic units (12 plants in the cultivation line) in the field and seven basic units (14 plants in the cultivation line) under the plastic tunnel.Associação Brasileira de Horticultura2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362016000400507Horticultura Brasileira v.34 n.4 2016reponame:Horticultura Brasileirainstname:Associação Brasileira de Horticultura (ABH)instacron:ABH10.1590/s0102-053620160409info:eu-repo/semantics/openAccessLucio,Alessandro DCNunes,Luis FRego,Franciscoeng2016-11-22T00:00:00Zoai:scielo:S0102-05362016000400507Revistahttp://cms.horticulturabrasileira.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||hortbras@gmail.com1806-99910102-0536opendoar:2016-11-22T00:00Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)false
dc.title.none.fl_str_mv Nonlinear regression and plot size to estimate green beans production
title Nonlinear regression and plot size to estimate green beans production
spellingShingle Nonlinear regression and plot size to estimate green beans production
Lucio,Alessandro DC
Phaseolus vulgaris
growth models
logistic model
von Bertalanffy model
horticulture
title_short Nonlinear regression and plot size to estimate green beans production
title_full Nonlinear regression and plot size to estimate green beans production
title_fullStr Nonlinear regression and plot size to estimate green beans production
title_full_unstemmed Nonlinear regression and plot size to estimate green beans production
title_sort Nonlinear regression and plot size to estimate green beans production
author Lucio,Alessandro DC
author_facet Lucio,Alessandro DC
Nunes,Luis F
Rego,Francisco
author_role author
author2 Nunes,Luis F
Rego,Francisco
author2_role author
author
dc.contributor.author.fl_str_mv Lucio,Alessandro DC
Nunes,Luis F
Rego,Francisco
dc.subject.por.fl_str_mv Phaseolus vulgaris
growth models
logistic model
von Bertalanffy model
horticulture
topic Phaseolus vulgaris
growth models
logistic model
von Bertalanffy model
horticulture
description ABSTRACT The objectives of this work were to adjust nonlinear regression models for the green beans production and to identify the plot size which provides the best explanation and adjustment to the models. The authors used two field and two protected environment (plastic tunnel) trials in the autumn-winter and spring-summer seasons. The logistic and von Bertalanffy models were adjusted for average weight of green beans accumulated after multiple harvests and with different plot sizes. The models presented similar estimates and the same parameters estimates in all the plot sizes. The logistic model provided estimates closest to the reality, showing the best description performance for the average weight of pods during the productive cycle. In the autumn-winter season, plot size of 14 basic units (28 plants in the cultivation line direction) in the field and of two basic units (four plants in the cultivation line direction) under the plastic tunnel provide a good quality in the models adjustment. In the spring-summer season, the plot sizes are made of six basic units (12 plants in the cultivation line) in the field and seven basic units (14 plants in the cultivation line) under the plastic tunnel.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362016000400507
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362016000400507
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s0102-053620160409
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Horticultura
publisher.none.fl_str_mv Associação Brasileira de Horticultura
dc.source.none.fl_str_mv Horticultura Brasileira v.34 n.4 2016
reponame:Horticultura Brasileira
instname:Associação Brasileira de Horticultura (ABH)
instacron:ABH
instname_str Associação Brasileira de Horticultura (ABH)
instacron_str ABH
institution ABH
reponame_str Horticultura Brasileira
collection Horticultura Brasileira
repository.name.fl_str_mv Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)
repository.mail.fl_str_mv ||hortbras@gmail.com
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