Using nonlinear models to define production, production rate, and precocity of strawberry cultivars

Detalhes bibliográficos
Autor(a) principal: Diel,Maria Inês
Data de Publicação: 2022
Outros Autores: Lúcio,Alessandro Dal’Col, Schmidt,Denise, Tartaglia,Francieli de Lima, Tischler,André Luis, Lambrecht,Darlei Michalski
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ceres
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100055
Resumo: ABSTRACT The aim of this study was to evaluate, using logistic model, the differences in early production, production rate and total productivity of two strawberry cultivars with transplants from different origins grown in substrate. The experiment was carried out in a randomized block design (RBD), with two strawberry cultivars (Albion and Camarosa) and two origins of transplants (National and Imported), with four repetitions consisting of eight plants. For the variable fruit mass, the logistic model was adjusted as a function of the accumulated thermal sum, and from the partial derivatives of the adjusted function, the critical points of the model were estimated. The use of the Logistic model allows evaluating precocity and rate of fruit production efficiently and accurately. The cultivar Camarosa was the most productive compared to the Albion cultivar, presenting a shorter production cycle, with a high production peak. The Albion cultivar was earlier, presenting more constant production during the evaluated production cycle. The transplant's origin did not show significantly different results for the cultivars evaluated. The producer must choose the cultivar that will be used based on its performance and also based on consumer preferences and fruit demand.
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spelling Using nonlinear models to define production, production rate, and precocity of strawberry cultivarsFragaria x ananassagrowth modelslogisticphotoperiodtemperature.ABSTRACT The aim of this study was to evaluate, using logistic model, the differences in early production, production rate and total productivity of two strawberry cultivars with transplants from different origins grown in substrate. The experiment was carried out in a randomized block design (RBD), with two strawberry cultivars (Albion and Camarosa) and two origins of transplants (National and Imported), with four repetitions consisting of eight plants. For the variable fruit mass, the logistic model was adjusted as a function of the accumulated thermal sum, and from the partial derivatives of the adjusted function, the critical points of the model were estimated. The use of the Logistic model allows evaluating precocity and rate of fruit production efficiently and accurately. The cultivar Camarosa was the most productive compared to the Albion cultivar, presenting a shorter production cycle, with a high production peak. The Albion cultivar was earlier, presenting more constant production during the evaluated production cycle. The transplant's origin did not show significantly different results for the cultivars evaluated. The producer must choose the cultivar that will be used based on its performance and also based on consumer preferences and fruit demand.Universidade Federal de Viçosa2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100055Revista Ceres v.69 n.1 2022reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737x202269010008info:eu-repo/semantics/openAccessDiel,Maria InêsLúcio,Alessandro Dal’ColSchmidt,DeniseTartaglia,Francieli de LimaTischler,André LuisLambrecht,Darlei Michalskieng2022-01-11T00:00:00ZRevista
dc.title.none.fl_str_mv Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
title Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
spellingShingle Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
Diel,Maria Inês
Fragaria x ananassa
growth models
logistic
photoperiod
temperature.
title_short Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
title_full Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
title_fullStr Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
title_full_unstemmed Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
title_sort Using nonlinear models to define production, production rate, and precocity of strawberry cultivars
author Diel,Maria Inês
author_facet Diel,Maria Inês
Lúcio,Alessandro Dal’Col
Schmidt,Denise
Tartaglia,Francieli de Lima
Tischler,André Luis
Lambrecht,Darlei Michalski
author_role author
author2 Lúcio,Alessandro Dal’Col
Schmidt,Denise
Tartaglia,Francieli de Lima
Tischler,André Luis
Lambrecht,Darlei Michalski
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Diel,Maria Inês
Lúcio,Alessandro Dal’Col
Schmidt,Denise
Tartaglia,Francieli de Lima
Tischler,André Luis
Lambrecht,Darlei Michalski
dc.subject.por.fl_str_mv Fragaria x ananassa
growth models
logistic
photoperiod
temperature.
topic Fragaria x ananassa
growth models
logistic
photoperiod
temperature.
dc.description.none.fl_txt_mv ABSTRACT The aim of this study was to evaluate, using logistic model, the differences in early production, production rate and total productivity of two strawberry cultivars with transplants from different origins grown in substrate. The experiment was carried out in a randomized block design (RBD), with two strawberry cultivars (Albion and Camarosa) and two origins of transplants (National and Imported), with four repetitions consisting of eight plants. For the variable fruit mass, the logistic model was adjusted as a function of the accumulated thermal sum, and from the partial derivatives of the adjusted function, the critical points of the model were estimated. The use of the Logistic model allows evaluating precocity and rate of fruit production efficiently and accurately. The cultivar Camarosa was the most productive compared to the Albion cultivar, presenting a shorter production cycle, with a high production peak. The Albion cultivar was earlier, presenting more constant production during the evaluated production cycle. The transplant's origin did not show significantly different results for the cultivars evaluated. The producer must choose the cultivar that will be used based on its performance and also based on consumer preferences and fruit demand.
description ABSTRACT The aim of this study was to evaluate, using logistic model, the differences in early production, production rate and total productivity of two strawberry cultivars with transplants from different origins grown in substrate. The experiment was carried out in a randomized block design (RBD), with two strawberry cultivars (Albion and Camarosa) and two origins of transplants (National and Imported), with four repetitions consisting of eight plants. For the variable fruit mass, the logistic model was adjusted as a function of the accumulated thermal sum, and from the partial derivatives of the adjusted function, the critical points of the model were estimated. The use of the Logistic model allows evaluating precocity and rate of fruit production efficiently and accurately. The cultivar Camarosa was the most productive compared to the Albion cultivar, presenting a shorter production cycle, with a high production peak. The Albion cultivar was earlier, presenting more constant production during the evaluated production cycle. The transplant's origin did not show significantly different results for the cultivars evaluated. The producer must choose the cultivar that will be used based on its performance and also based on consumer preferences and fruit demand.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-01
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=S0034-737X2022000100055
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100055
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-737x202269010008
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 Universidade Federal de Viçosa
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv Revista Ceres v.69 n.1 2022
reponame:Revista Ceres
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista Ceres
collection Revista Ceres
repository.name.fl_str_mv
repository.mail.fl_str_mv
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