SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600800 |
Resumo: | ABSTRACT This study aimed to define management zones (MZs) for fertirrigated açaí cultivation, based on spatial variability of the foliar nutrients and productivity data. The work was carried out in an area of 5.75 ha of a 7-year crop, with 80 georeferenced sample points. Fresh fruit productivity and nutrient (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn) contents were determined. The average contents of macronutrients were considered adequate for adult açaí plants, and their spatial dependence associated with fruit productivity allowed the representation of their distributions through maps of variability. Through multivariate analysis, three main components were highlighted. These components explained 51.5 % of the total variability of the data, where PC1 showed a higher correlation with Ca, Mg, K, and P. In addition, three MZs were obtained, out of which one with the highest productivity showed the best Ca, Mg, S, B, and Fe leaf contents. Principal component analysis and determination of MZs emphasized Ca and Mg nutrition as being more related to spatial variability and açaí fruit productivity. |
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SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍAmazonmanagement zonesmultivariate analysisnutrient contentsprecision agricultureABSTRACT This study aimed to define management zones (MZs) for fertirrigated açaí cultivation, based on spatial variability of the foliar nutrients and productivity data. The work was carried out in an area of 5.75 ha of a 7-year crop, with 80 georeferenced sample points. Fresh fruit productivity and nutrient (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn) contents were determined. The average contents of macronutrients were considered adequate for adult açaí plants, and their spatial dependence associated with fruit productivity allowed the representation of their distributions through maps of variability. Through multivariate analysis, three main components were highlighted. These components explained 51.5 % of the total variability of the data, where PC1 showed a higher correlation with Ca, Mg, K, and P. In addition, three MZs were obtained, out of which one with the highest productivity showed the best Ca, Mg, S, B, and Fe leaf contents. Principal component analysis and determination of MZs emphasized Ca and Mg nutrition as being more related to spatial variability and açaí fruit productivity.Associação Brasileira de Engenharia Agrícola2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600800Engenharia Agrícola v.40 n.6 2020reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v40n6p800-808/2020info:eu-repo/semantics/openAccessRibeiro,Felipe O.Fernandes,Antonio R.Matos,Gilson S. B. deLindolfo,Marcelo M.Guedes,Rafael S.Rodrigues,Graziele R.eng2020-11-19T00:00:00Zoai:scielo:S0100-69162020000600800Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2020-11-19T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false |
dc.title.none.fl_str_mv |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ |
title |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ |
spellingShingle |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ Ribeiro,Felipe O. Amazon management zones multivariate analysis nutrient contents precision agriculture |
title_short |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ |
title_full |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ |
title_fullStr |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ |
title_full_unstemmed |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ |
title_sort |
SPATIAL VARIABILITY IN LEAF ANALYSIS AND PRODUCTIVITY OF FERTIRRIGATED AÇAÍ |
author |
Ribeiro,Felipe O. |
author_facet |
Ribeiro,Felipe O. Fernandes,Antonio R. Matos,Gilson S. B. de Lindolfo,Marcelo M. Guedes,Rafael S. Rodrigues,Graziele R. |
author_role |
author |
author2 |
Fernandes,Antonio R. Matos,Gilson S. B. de Lindolfo,Marcelo M. Guedes,Rafael S. Rodrigues,Graziele R. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ribeiro,Felipe O. Fernandes,Antonio R. Matos,Gilson S. B. de Lindolfo,Marcelo M. Guedes,Rafael S. Rodrigues,Graziele R. |
dc.subject.por.fl_str_mv |
Amazon management zones multivariate analysis nutrient contents precision agriculture |
topic |
Amazon management zones multivariate analysis nutrient contents precision agriculture |
description |
ABSTRACT This study aimed to define management zones (MZs) for fertirrigated açaí cultivation, based on spatial variability of the foliar nutrients and productivity data. The work was carried out in an area of 5.75 ha of a 7-year crop, with 80 georeferenced sample points. Fresh fruit productivity and nutrient (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn) contents were determined. The average contents of macronutrients were considered adequate for adult açaí plants, and their spatial dependence associated with fruit productivity allowed the representation of their distributions through maps of variability. Through multivariate analysis, three main components were highlighted. These components explained 51.5 % of the total variability of the data, where PC1 showed a higher correlation with Ca, Mg, K, and P. In addition, three MZs were obtained, out of which one with the highest productivity showed the best Ca, Mg, S, B, and Fe leaf contents. Principal component analysis and determination of MZs emphasized Ca and Mg nutrition as being more related to spatial variability and açaí fruit productivity. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-01 |
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=S0100-69162020000600800 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600800 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1809-4430-eng.agric.v40n6p800-808/2020 |
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 Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola v.40 n.6 2020 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126274911862784 |