Productive traits of rye cultivars grown under different sowing seasons

Detalhes bibliográficos
Autor(a) principal: Kleinpaul,Jéssica A.
Data de Publicação: 2019
Outros Autores: Cargnelutti Filho,Alberto, Carini,Fernanda, Pezzini,Rafael V., Chaves,Gabriela G., Thomasi,Rosana M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001200937
Resumo: ABSTRACT This study aimed to adjust the Gompertz and Logistic nonlinear models for the fresh and dry matter of aerial part and indicate the model that best describes the growth of two rye cultivars in five sowing seasons, as well as to characterize the growth of the cultivars regarding the fresh and dry matter of aerial part. Ten uniformity trials were conducted with the rye crop in 2016. A weekly sampling and evaluation of 10 plants per trial was performed from the time the plants presented one expanded leaf. For each plant, the fresh and dry matter of aerial part were weighed. The Gompertz and Logistic models were adjusted to the accumulated thermal time based on the measures of each trait in each assessment. Also the parameters a, b, and c for each model were estimated and calculated the interval of confidence for each parameter, as well as the inflection points, maximum acceleration, maximum deceleration and asymptotic deceleration. The quality of the model adjustments was verified using the coefficient of determination, Akaike information criterion, and residual standard deviation. The intrinsic nonlinearity and nonlinearity of the parameter effect was quantified. Both models satisfactorily describe the behavior of the fresh and dry matter of aerial part. The Logistic model best describes the growth of rye cultivars. The growth of the cultivars BRS Progresso and Temprano is distinct between sowing seasons. Cultivar BRS Progresso requires a lower thermal time until reaching 50% of its growth when compared to the Temprano cultivar.
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spelling Productive traits of rye cultivars grown under different sowing seasonsSecale cerealegrowth modelsnonlinear modelssoil cover plantABSTRACT This study aimed to adjust the Gompertz and Logistic nonlinear models for the fresh and dry matter of aerial part and indicate the model that best describes the growth of two rye cultivars in five sowing seasons, as well as to characterize the growth of the cultivars regarding the fresh and dry matter of aerial part. Ten uniformity trials were conducted with the rye crop in 2016. A weekly sampling and evaluation of 10 plants per trial was performed from the time the plants presented one expanded leaf. For each plant, the fresh and dry matter of aerial part were weighed. The Gompertz and Logistic models were adjusted to the accumulated thermal time based on the measures of each trait in each assessment. Also the parameters a, b, and c for each model were estimated and calculated the interval of confidence for each parameter, as well as the inflection points, maximum acceleration, maximum deceleration and asymptotic deceleration. The quality of the model adjustments was verified using the coefficient of determination, Akaike information criterion, and residual standard deviation. The intrinsic nonlinearity and nonlinearity of the parameter effect was quantified. Both models satisfactorily describe the behavior of the fresh and dry matter of aerial part. The Logistic model best describes the growth of rye cultivars. The growth of the cultivars BRS Progresso and Temprano is distinct between sowing seasons. Cultivar BRS Progresso requires a lower thermal time until reaching 50% of its growth when compared to the Temprano cultivar.Departamento de Engenharia Agrícola - UFCG2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001200937Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.12 2019reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v23n12p937-944info:eu-repo/semantics/openAccessKleinpaul,Jéssica A.Cargnelutti Filho,AlbertoCarini,FernandaPezzini,Rafael V.Chaves,Gabriela G.Thomasi,Rosana M.eng2019-11-22T00:00:00Zoai:scielo:S1415-43662019001200937Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2019-11-22T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Productive traits of rye cultivars grown under different sowing seasons
title Productive traits of rye cultivars grown under different sowing seasons
spellingShingle Productive traits of rye cultivars grown under different sowing seasons
Kleinpaul,Jéssica A.
Secale cereale
growth models
nonlinear models
soil cover plant
title_short Productive traits of rye cultivars grown under different sowing seasons
title_full Productive traits of rye cultivars grown under different sowing seasons
title_fullStr Productive traits of rye cultivars grown under different sowing seasons
title_full_unstemmed Productive traits of rye cultivars grown under different sowing seasons
title_sort Productive traits of rye cultivars grown under different sowing seasons
author Kleinpaul,Jéssica A.
author_facet Kleinpaul,Jéssica A.
Cargnelutti Filho,Alberto
Carini,Fernanda
Pezzini,Rafael V.
Chaves,Gabriela G.
Thomasi,Rosana M.
author_role author
author2 Cargnelutti Filho,Alberto
Carini,Fernanda
Pezzini,Rafael V.
Chaves,Gabriela G.
Thomasi,Rosana M.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Kleinpaul,Jéssica A.
Cargnelutti Filho,Alberto
Carini,Fernanda
Pezzini,Rafael V.
Chaves,Gabriela G.
Thomasi,Rosana M.
dc.subject.por.fl_str_mv Secale cereale
growth models
nonlinear models
soil cover plant
topic Secale cereale
growth models
nonlinear models
soil cover plant
description ABSTRACT This study aimed to adjust the Gompertz and Logistic nonlinear models for the fresh and dry matter of aerial part and indicate the model that best describes the growth of two rye cultivars in five sowing seasons, as well as to characterize the growth of the cultivars regarding the fresh and dry matter of aerial part. Ten uniformity trials were conducted with the rye crop in 2016. A weekly sampling and evaluation of 10 plants per trial was performed from the time the plants presented one expanded leaf. For each plant, the fresh and dry matter of aerial part were weighed. The Gompertz and Logistic models were adjusted to the accumulated thermal time based on the measures of each trait in each assessment. Also the parameters a, b, and c for each model were estimated and calculated the interval of confidence for each parameter, as well as the inflection points, maximum acceleration, maximum deceleration and asymptotic deceleration. The quality of the model adjustments was verified using the coefficient of determination, Akaike information criterion, and residual standard deviation. The intrinsic nonlinearity and nonlinearity of the parameter effect was quantified. Both models satisfactorily describe the behavior of the fresh and dry matter of aerial part. The Logistic model best describes the growth of rye cultivars. The growth of the cultivars BRS Progresso and Temprano is distinct between sowing seasons. Cultivar BRS Progresso requires a lower thermal time until reaching 50% of its growth when compared to the Temprano cultivar.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001200937
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v23n12p937-944
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.12 2019
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instname_str Universidade Federal de Campina Grande (UFCG)
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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