Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/54026 |
Resumo: | The productive potential of the rubber tree (Hevea brasiliensis) is dependent on its genetic composition, in addition to edaphoclimatic factors and management practices. However, as soil properties are not homogenous, knowing the spatial variability of soil attributes would be important to increase productivity and reduce production costs. In this context, the objective of this study was to determine the spatial variability of chemical attributes of the soil and its influence on the nutritional status and growth of rubber tree clones. Clones FX 3864, FDR 5788, CDC 312, and RRIM 600 were planted at Jaturnaíba Farm, in the municipality of Silva Jardim, Rio de Janeiro State, Brazil. The sampling sites were distributed at a spacing of 20 × 20 m on the northern and southern sides of the relief. The chemical attributes of the soil (pH, Ca2+, Mg2+, K+, P, Al3+, H+Al, sum of bases, cation exchange capacity, and base saturation) were evaluated at a depth of 0–20 cm in the different clone plantations. Additionally, the N, P, K, Ca, and Mg content as well as trunk circumference and total plant height, were also evaluated. Geostatistics was used to determine the spatial variability of the soil and clone attributes, while Ordinary Kriging was used to draw variability maps of the variables. A difference in the distribution of the variables, which was dependent on the slope of the relief, was detected through the maps. The southern side presented better conditions as some degradation was observed on the northern side. Certain soil characteristics influenced the distribution of the attributes of the planted clones; for example, the low concentration of Ca2+ in the soil caused Ca deficiency in the FX clone on the southern slope, indicating that liming did not supply enough nutrients for this clone. Our results showed that the variability in soil attributes influenced the nutritional status and growth of the rubber tree clones, indicating that variability maps can guide the planting and management of the rubber tree, providing more efficient management. |
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Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber treeGeostatisticsHevea brasiliensisSoil fertility. Agricultural SciencesThe productive potential of the rubber tree (Hevea brasiliensis) is dependent on its genetic composition, in addition to edaphoclimatic factors and management practices. However, as soil properties are not homogenous, knowing the spatial variability of soil attributes would be important to increase productivity and reduce production costs. In this context, the objective of this study was to determine the spatial variability of chemical attributes of the soil and its influence on the nutritional status and growth of rubber tree clones. Clones FX 3864, FDR 5788, CDC 312, and RRIM 600 were planted at Jaturnaíba Farm, in the municipality of Silva Jardim, Rio de Janeiro State, Brazil. The sampling sites were distributed at a spacing of 20 × 20 m on the northern and southern sides of the relief. The chemical attributes of the soil (pH, Ca2+, Mg2+, K+, P, Al3+, H+Al, sum of bases, cation exchange capacity, and base saturation) were evaluated at a depth of 0–20 cm in the different clone plantations. Additionally, the N, P, K, Ca, and Mg content as well as trunk circumference and total plant height, were also evaluated. Geostatistics was used to determine the spatial variability of the soil and clone attributes, while Ordinary Kriging was used to draw variability maps of the variables. A difference in the distribution of the variables, which was dependent on the slope of the relief, was detected through the maps. The southern side presented better conditions as some degradation was observed on the northern side. Certain soil characteristics influenced the distribution of the attributes of the planted clones; for example, the low concentration of Ca2+ in the soil caused Ca deficiency in the FX clone on the southern slope, indicating that liming did not supply enough nutrients for this clone. Our results showed that the variability in soil attributes influenced the nutritional status and growth of the rubber tree clones, indicating that variability maps can guide the planting and management of the rubber tree, providing more efficient management.O potencial produtivo da seringueira (Hevea brasiliensis) depende do seu potencial genético aliado aos fatores edafoclimáticos e as práticas de manejo. No entanto, como as propriedades do solo não são homogêneas, o conhecimento da variabilidade espacial dos atributos do solo é importante para aumentar a produtividade e reduzir os custos de produção. Neste contexto, o objetivo deste estudo foi determinar a variabilidade espacial dos atributos químicos do solo e sua influência no estado nutricional e no crescimento de clones de seringueira. Os clones FX 3864, FDR 5788, CDC 312 e RRIM 600 foram plantados na Fazenda Jaturnaíba, no município de Silva Jardim, estado do Rio de Janeiro, Brasil. Os pontos amostrais foram distribuídos com espaçamento de 20 x 20 m em duas faces do relevo, norte e sul. Foram avaliados os atributos químicos do solo (pH, Ca2+, Mg2+, K+, P, Al3+, H+Al, soma de bases, capacidade de troca de cátions e saturação por bases) na profundidade de 0-20 cm nos diferentes plantios dos clones. Foram avaliados os teores de N, P, K, Ca e Mg dos clones, bem como a circunferência do tronco e a altura total das plantas. A geoestatística foi utilizada para a determinação da variabilidade espacial dos atributos do solo e dos clones, em que a Krigagem Ordinária foi utilizada na construção dos mapas de variabilidade das variáveis. Por meio dos mapas foi possível verificar que houve diferença na distribuição das variáveis de acordo com a face do relevo, na qual a face sul apresentou melhores condições, pois foi observado na face norte níveis de degradação. Alguns atributos do solo influenciaram a distribuição dos atributos dos clones implantados, como por exemplo, a baixa concentração de Ca2+ no solo causou uma deficiência de Ca no clone FX na face sul, indicando que a calagem não está sendo suficiente para nutrir esse clone em níveis adequados. Nossos resultados mostraram que a variabilidade dos atributos do solo influenciou o estado nutricional e o crescimento dos clones de seringueira, indicando que os mapas de variabilidade podem orientar o plantio e o manejo da seringueira, proporcionando um manejo mais eficiente.EDUFU2022-08-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/5402610.14393/BJ-v38n0a2022-54026Bioscience Journal ; Vol. 38 (2022): Continuous Publication; e38052Bioscience Journal ; v. 38 (2022): Continuous Publication; e380521981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/54026/34444Brazil; Contemporary Copyright (c) 2022 Anderson Ribeiro Diniz, Camila Santos da Silva, Marcos Gervasio Pereira, Everaldo Zonta, Douglath Alves Corrêa Fernandes, Ana Carolina Oliveira Sousa, André Geraldo Lima de Moraeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAnderson Ribeiro DinizCamila Santos da SilvaPereira, Marcos GervasioEveraldo ZontaDouglath Alves Corrêa FernandesAna Carolina Oliveira SousaAndré Geraldo Lima de Moraes2022-09-23T14:36:36Zoai:ojs.www.seer.ufu.br:article/54026Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-09-23T14:36:36Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree |
title |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree |
spellingShingle |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree Anderson Ribeiro Diniz Geostatistics Hevea brasiliensis Soil fertility. Agricultural Sciences |
title_short |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree |
title_full |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree |
title_fullStr |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree |
title_full_unstemmed |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree |
title_sort |
Influence of spatial variability of soil chemical attributes on the nutritional status and growth of the rubber tree |
author |
Anderson Ribeiro Diniz |
author_facet |
Anderson Ribeiro Diniz Camila Santos da Silva Pereira, Marcos Gervasio Everaldo Zonta Douglath Alves Corrêa Fernandes Ana Carolina Oliveira Sousa André Geraldo Lima de Moraes |
author_role |
author |
author2 |
Camila Santos da Silva Pereira, Marcos Gervasio Everaldo Zonta Douglath Alves Corrêa Fernandes Ana Carolina Oliveira Sousa André Geraldo Lima de Moraes |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Anderson Ribeiro Diniz Camila Santos da Silva Pereira, Marcos Gervasio Everaldo Zonta Douglath Alves Corrêa Fernandes Ana Carolina Oliveira Sousa André Geraldo Lima de Moraes |
dc.subject.por.fl_str_mv |
Geostatistics Hevea brasiliensis Soil fertility. Agricultural Sciences |
topic |
Geostatistics Hevea brasiliensis Soil fertility. Agricultural Sciences |
description |
The productive potential of the rubber tree (Hevea brasiliensis) is dependent on its genetic composition, in addition to edaphoclimatic factors and management practices. However, as soil properties are not homogenous, knowing the spatial variability of soil attributes would be important to increase productivity and reduce production costs. In this context, the objective of this study was to determine the spatial variability of chemical attributes of the soil and its influence on the nutritional status and growth of rubber tree clones. Clones FX 3864, FDR 5788, CDC 312, and RRIM 600 were planted at Jaturnaíba Farm, in the municipality of Silva Jardim, Rio de Janeiro State, Brazil. The sampling sites were distributed at a spacing of 20 × 20 m on the northern and southern sides of the relief. The chemical attributes of the soil (pH, Ca2+, Mg2+, K+, P, Al3+, H+Al, sum of bases, cation exchange capacity, and base saturation) were evaluated at a depth of 0–20 cm in the different clone plantations. Additionally, the N, P, K, Ca, and Mg content as well as trunk circumference and total plant height, were also evaluated. Geostatistics was used to determine the spatial variability of the soil and clone attributes, while Ordinary Kriging was used to draw variability maps of the variables. A difference in the distribution of the variables, which was dependent on the slope of the relief, was detected through the maps. The southern side presented better conditions as some degradation was observed on the northern side. Certain soil characteristics influenced the distribution of the attributes of the planted clones; for example, the low concentration of Ca2+ in the soil caused Ca deficiency in the FX clone on the southern slope, indicating that liming did not supply enough nutrients for this clone. Our results showed that the variability in soil attributes influenced the nutritional status and growth of the rubber tree clones, indicating that variability maps can guide the planting and management of the rubber tree, providing more efficient management. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-12 |
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://seer.ufu.br/index.php/biosciencejournal/article/view/54026 10.14393/BJ-v38n0a2022-54026 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/54026 |
identifier_str_mv |
10.14393/BJ-v38n0a2022-54026 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/54026/34444 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 38 (2022): Continuous Publication; e38052 Bioscience Journal ; v. 38 (2022): Continuous Publication; e38052 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
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1797069082535657472 |