DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE

Detalhes bibliográficos
Autor(a) principal: MACEDO NETO, ANTONIO ANIZIO LEAL
Data de Publicação: 2020
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/2316
Resumo: The objective of this study was diagnose and to produce spatial variability maps of soil fertility attributes and production in a teak (Tectona grandis) plantation through geostatistics. The study was conducted on a commercial farm in the city of Capitão Poço, state of Pará, Brazil. Soil and yield data were collected from 155 sampled georeferenced points. The collected soil samples were submitted to laboratory analysis to obtain the values of the following variables: pH, organic matter (OM), calcium (Ca), magnesium (Mg) and potassium (K), available phosphorus (P), aluminum (Al), Base sum (BS), cation exchange capacity at pH 7.0 (T), effective cation exchange capacity (t), base saturation (V%) and aluminum saturation (m %). After that, a diagnosis of the fertility status of the study area was made based on laboratory results. The fertility results and the tree volume were submitted to univariate statistical analysis and geostatistics for the production of spatial variability maps. The soil fertility diagnosis showed K, OM and P as the most limiting parameters in the commercial teak plot. All soil fertility and teak volume variables showed spatial dependence, which enabled the production of spatial variability maps, and their spatial dependence indices were considered strong for most of them. The values of P, K and OM are correlated to the increase in teak volume. The variability maps showed a relationship between available P and volume. Spatial variability maps enable precise interventions in a production teak area.
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spelling DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATEsoil fertility, availability of nutrients, teak nutrition and volume.The objective of this study was diagnose and to produce spatial variability maps of soil fertility attributes and production in a teak (Tectona grandis) plantation through geostatistics. The study was conducted on a commercial farm in the city of Capitão Poço, state of Pará, Brazil. Soil and yield data were collected from 155 sampled georeferenced points. The collected soil samples were submitted to laboratory analysis to obtain the values of the following variables: pH, organic matter (OM), calcium (Ca), magnesium (Mg) and potassium (K), available phosphorus (P), aluminum (Al), Base sum (BS), cation exchange capacity at pH 7.0 (T), effective cation exchange capacity (t), base saturation (V%) and aluminum saturation (m %). After that, a diagnosis of the fertility status of the study area was made based on laboratory results. The fertility results and the tree volume were submitted to univariate statistical analysis and geostatistics for the production of spatial variability maps. The soil fertility diagnosis showed K, OM and P as the most limiting parameters in the commercial teak plot. All soil fertility and teak volume variables showed spatial dependence, which enabled the production of spatial variability maps, and their spatial dependence indices were considered strong for most of them. The values of P, K and OM are correlated to the increase in teak volume. The variability maps showed a relationship between available P and volume. Spatial variability maps enable precise interventions in a production teak area.CERNECERNE2020-05-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/2316CERNE; Vol. 26 No. 1 (2020); 37-47CERNE; v. 26 n. 1 (2020); 37-472317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/2316/1171Copyright (c) 2020 CERNEinfo:eu-repo/semantics/openAccessMACEDO NETO, ANTONIO ANIZIO LEAL2020-05-15T19:57:22Zoai:cerne.ufla.br:article/2316Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:43.396808Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
title DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
spellingShingle DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
MACEDO NETO, ANTONIO ANIZIO LEAL
soil fertility, availability of nutrients, teak nutrition and volume.
title_short DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
title_full DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
title_fullStr DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
title_full_unstemmed DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
title_sort DIAGNOSIS AND SPATIAL VARIABILITY OF SOIL FERTILITY AND CROP PRODUCTION IN EASTERN PARÁ STATE
author MACEDO NETO, ANTONIO ANIZIO LEAL
author_facet MACEDO NETO, ANTONIO ANIZIO LEAL
author_role author
dc.contributor.author.fl_str_mv MACEDO NETO, ANTONIO ANIZIO LEAL
dc.subject.por.fl_str_mv soil fertility, availability of nutrients, teak nutrition and volume.
topic soil fertility, availability of nutrients, teak nutrition and volume.
description The objective of this study was diagnose and to produce spatial variability maps of soil fertility attributes and production in a teak (Tectona grandis) plantation through geostatistics. The study was conducted on a commercial farm in the city of Capitão Poço, state of Pará, Brazil. Soil and yield data were collected from 155 sampled georeferenced points. The collected soil samples were submitted to laboratory analysis to obtain the values of the following variables: pH, organic matter (OM), calcium (Ca), magnesium (Mg) and potassium (K), available phosphorus (P), aluminum (Al), Base sum (BS), cation exchange capacity at pH 7.0 (T), effective cation exchange capacity (t), base saturation (V%) and aluminum saturation (m %). After that, a diagnosis of the fertility status of the study area was made based on laboratory results. The fertility results and the tree volume were submitted to univariate statistical analysis and geostatistics for the production of spatial variability maps. The soil fertility diagnosis showed K, OM and P as the most limiting parameters in the commercial teak plot. All soil fertility and teak volume variables showed spatial dependence, which enabled the production of spatial variability maps, and their spatial dependence indices were considered strong for most of them. The values of P, K and OM are correlated to the increase in teak volume. The variability maps showed a relationship between available P and volume. Spatial variability maps enable precise interventions in a production teak area.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-12
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://cerne.ufla.br/site/index.php/CERNE/article/view/2316
url https://cerne.ufla.br/site/index.php/CERNE/article/view/2316
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2316/1171
dc.rights.driver.fl_str_mv Copyright (c) 2020 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 26 No. 1 (2020); 37-47
CERNE; v. 26 n. 1 (2020); 37-47
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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