Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Agropecuária Catarinense (Online) |
Texto Completo: | https://publicacoes.epagri.sc.gov.br/rac/article/view/95 |
Resumo: | Abstract: The objective of this research was to estimate the banana population density (Musa sp.) in areas with at least 10 years of production on the north coast of Santa Catarina. The banana fields were grouped proportionally to sun exposure (flat, south face and north face), and sampled by the probabilistic method with binomial distribution and 5% error. The density was obtained by the “random circle” method; the age by interviews; the bunches yield by weight; the number of hands and fruit diameter; and productivity in three classes of densities: until 1,550; from 1,550 to 1,650 and above 1,650 plants ha-1. There was no significant difference between the densities in the areas in different conditions of sun exposure and / or age of the crop. Areas with 1,550 to 1,650 plants ha-1 had the best yield and productivity. It was concluded that: (i) 18% of the areas are with a density of 1,550 to 1,650 plants ha-1 (recommended), 43% above and 39% below; (ii) densities above 1,650 and below 1,550 plants ha-1 decrease the quality and / or productivity, therefore it is recommended to renewal; (iii) the change in density can be related to errors in the desuckering and / or loss of plants for various reasons, cumulative over time. |
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Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil.Estimativa da densidade populacional de bananeiras do subgrupo Cavendish em áreas de produção na região do litoral norte catarinenseMusa sp.banana field managementbanana field renewal.Musa sp.Manejo de bananaisRenovação de bananaisAbstract: The objective of this research was to estimate the banana population density (Musa sp.) in areas with at least 10 years of production on the north coast of Santa Catarina. The banana fields were grouped proportionally to sun exposure (flat, south face and north face), and sampled by the probabilistic method with binomial distribution and 5% error. The density was obtained by the “random circle” method; the age by interviews; the bunches yield by weight; the number of hands and fruit diameter; and productivity in three classes of densities: until 1,550; from 1,550 to 1,650 and above 1,650 plants ha-1. There was no significant difference between the densities in the areas in different conditions of sun exposure and / or age of the crop. Areas with 1,550 to 1,650 plants ha-1 had the best yield and productivity. It was concluded that: (i) 18% of the areas are with a density of 1,550 to 1,650 plants ha-1 (recommended), 43% above and 39% below; (ii) densities above 1,650 and below 1,550 plants ha-1 decrease the quality and / or productivity, therefore it is recommended to renewal; (iii) the change in density can be related to errors in the desuckering and / or loss of plants for various reasons, cumulative over time.Resumo: O objetivo deste trabalho foi estimar a densidade populacional de bananeiras (Musa sp.) em áreas de cultivo com mais de dez anos no Litoral Norte Catarinense e definir parâmetros para sua renovação. Os bananais foram agrupados proporcionalmente à exposição solar (plano, face sul e face norte) e amostrados pelo método probabilístico com distribuição binomial e erro de 5%. A densidade foi obtida pelo método do “círculo aleatório”; a idade, por entrevistas; o rendimento dos cachos, pelo peso, pelo número de pencas e pelo diâmetro dos frutos; e produtividade, em três classes de densidades: até 1.550, entre 1.550 e 1.650 e acima de 1.650 plantas.ha-1. Não houve diferença significativa entre as densidades das áreas nas diferentes condições de exposição solar ou idade do bananal. Áreas com 1.550 a 1.650 plantas.ha-1 tiveram o melhor rendimento e produtividade. Concluiu-se que: (i) 18% das áreas estão com 1.550 a 1.650 plantas.ha-1 (recomendado), 43% acima e 39% abaixo; (ii) densidades, acima de 1.650 ou abaixo de 1.550 plantas.ha-1 diminuem a qualidade e a produtividade, recomendando-se a renovação; (iii) a alteração da densidade pode estar relacionada a erros no desbaste de filhos ou à perda de plantas por motivos diversos, cumulativos no tempo. Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri2017-10-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://publicacoes.epagri.sc.gov.br/rac/article/view/95Agropecuária Catarinense Journal; Vol. 29 No. 1 (2016); 73-77Agropecuária Catarinense; v. 29 n. 1 (2016); 73-772525-60760103-0779reponame:Agropecuária Catarinense (Online)instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)instacron:EPAGRIporhttps://publicacoes.epagri.sc.gov.br/rac/article/view/95/31Copyright (c) 2016 Revista Agropecuária Catarinenseinfo:eu-repo/semantics/openAccessZimmermann, Ricardo José de NegreirosHinz, Robert HarriStuker, HenriMaro, Luana Aparecida Castilho2020-07-06T04:46:38Zoai:ojs.publicacoes.epagri.sc.gov.br:article/95Revistahttps://publicacoes.epagri.sc.gov.br/RAC/indexPUBhttps://publicacoes.epagri.sc.gov.br/index.php/RAC/oaieditoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br2525-60760103-0779opendoar:2020-07-06T04:46:38Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)false |
dc.title.none.fl_str_mv |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. Estimativa da densidade populacional de bananeiras do subgrupo Cavendish em áreas de produção na região do litoral norte catarinense |
title |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. |
spellingShingle |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. Zimmermann, Ricardo José de Negreiros Musa sp. banana field management banana field renewal. Musa sp. Manejo de bananais Renovação de bananais |
title_short |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. |
title_full |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. |
title_fullStr |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. |
title_full_unstemmed |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. |
title_sort |
Estimation of banana population density (Cavendish Subgroup) in the production area on the northern coast of the state of Santa Catarina, Brazil. |
author |
Zimmermann, Ricardo José de Negreiros |
author_facet |
Zimmermann, Ricardo José de Negreiros Hinz, Robert Harri Stuker, Henri Maro, Luana Aparecida Castilho |
author_role |
author |
author2 |
Hinz, Robert Harri Stuker, Henri Maro, Luana Aparecida Castilho |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Zimmermann, Ricardo José de Negreiros Hinz, Robert Harri Stuker, Henri Maro, Luana Aparecida Castilho |
dc.subject.por.fl_str_mv |
Musa sp. banana field management banana field renewal. Musa sp. Manejo de bananais Renovação de bananais |
topic |
Musa sp. banana field management banana field renewal. Musa sp. Manejo de bananais Renovação de bananais |
description |
Abstract: The objective of this research was to estimate the banana population density (Musa sp.) in areas with at least 10 years of production on the north coast of Santa Catarina. The banana fields were grouped proportionally to sun exposure (flat, south face and north face), and sampled by the probabilistic method with binomial distribution and 5% error. The density was obtained by the “random circle” method; the age by interviews; the bunches yield by weight; the number of hands and fruit diameter; and productivity in three classes of densities: until 1,550; from 1,550 to 1,650 and above 1,650 plants ha-1. There was no significant difference between the densities in the areas in different conditions of sun exposure and / or age of the crop. Areas with 1,550 to 1,650 plants ha-1 had the best yield and productivity. It was concluded that: (i) 18% of the areas are with a density of 1,550 to 1,650 plants ha-1 (recommended), 43% above and 39% below; (ii) densities above 1,650 and below 1,550 plants ha-1 decrease the quality and / or productivity, therefore it is recommended to renewal; (iii) the change in density can be related to errors in the desuckering and / or loss of plants for various reasons, cumulative over time. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-10-26 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://publicacoes.epagri.sc.gov.br/rac/article/view/95 |
url |
https://publicacoes.epagri.sc.gov.br/rac/article/view/95 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://publicacoes.epagri.sc.gov.br/rac/article/view/95/31 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Revista Agropecuária Catarinense info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Revista Agropecuária Catarinense |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri |
publisher.none.fl_str_mv |
Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri |
dc.source.none.fl_str_mv |
Agropecuária Catarinense Journal; Vol. 29 No. 1 (2016); 73-77 Agropecuária Catarinense; v. 29 n. 1 (2016); 73-77 2525-6076 0103-0779 reponame:Agropecuária Catarinense (Online) instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri) instacron:EPAGRI |
instname_str |
Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri) |
instacron_str |
EPAGRI |
institution |
EPAGRI |
reponame_str |
Agropecuária Catarinense (Online) |
collection |
Agropecuária Catarinense (Online) |
repository.name.fl_str_mv |
Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri) |
repository.mail.fl_str_mv |
editoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br |
_version_ |
1754917258106241024 |