Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon

Detalhes bibliográficos
Autor(a) principal: Cezana, Diego Capucho
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
Texto Completo: http://repositorio.ufes.br/handle/10/8240
Resumo: Precision agriculture brought tools that allow us to consider the plants a crop, not as a homogeneous environment, but in all its variability. Tools such as kriging the semivariogram and enable the construction of maps by interpolation of sample points that have spatial dependency between them, thereby causing, if known points in the sampling grid , without the need for sampling. The objective of applying geostatistics to coffee crop and investigate the spatial variability of attributes related to plant productivity, foliar N, P, K, Ca, Mg, Fe, Zn, Cu, Mn and B making estimates using the kriging technique presumes spatial variability and identify interrelationships of these attributes in space. The study was conducted on a commercial crop Conilon coffee variety called Bamburral, under irrigation, micro spray, in São Mateus state of Espírito Santo - Brazil. The experimental area has dimensions of 100x115 m, where we sampled a grid of 100 points with a minimum distance of 2 m between them. The crop productivity was estimated by harvesting a plant every sample point. The attributes studied showed moderate spatial dependence structure, the spherical model being the best fit for all variables. The greatest variability was obtained by productivity in season 1 (CV 66.66%) and the lowest for the season 1 also N (CV 9.21%). Both variables were normally distributed, with a range of 14,31 and 44,0 m, respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two seasons we observed a moderate CV, being in season 1, following 30,77; 19,02; 37,36; 32,75 and 37,21 respectively in season 2 the following 37,62; 32,20; 24,62; 32,30; 17,30 respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two periods was classified as moderate. The K, Ca, Mg and S macronutrients in season 1 were classified as moderate while the N and P showed low CV, then 2 moderate CV was presented by P, Ca, Mg and S and low CV was presented by N and K.
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spelling Gontijo, IvoneyPartelli, Fábio LuizCezana, Diego CapuchoQuartezani, Waylson Zancanela2018-08-01T23:26:45Z2018-08-012018-08-01T23:26:45Z2014-02-27Precision agriculture brought tools that allow us to consider the plants a crop, not as a homogeneous environment, but in all its variability. Tools such as kriging the semivariogram and enable the construction of maps by interpolation of sample points that have spatial dependency between them, thereby causing, if known points in the sampling grid , without the need for sampling. The objective of applying geostatistics to coffee crop and investigate the spatial variability of attributes related to plant productivity, foliar N, P, K, Ca, Mg, Fe, Zn, Cu, Mn and B making estimates using the kriging technique presumes spatial variability and identify interrelationships of these attributes in space. The study was conducted on a commercial crop Conilon coffee variety called Bamburral, under irrigation, micro spray, in São Mateus state of Espírito Santo - Brazil. The experimental area has dimensions of 100x115 m, where we sampled a grid of 100 points with a minimum distance of 2 m between them. The crop productivity was estimated by harvesting a plant every sample point. The attributes studied showed moderate spatial dependence structure, the spherical model being the best fit for all variables. The greatest variability was obtained by productivity in season 1 (CV 66.66%) and the lowest for the season 1 also N (CV 9.21%). Both variables were normally distributed, with a range of 14,31 and 44,0 m, respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two seasons we observed a moderate CV, being in season 1, following 30,77; 19,02; 37,36; 32,75 and 37,21 respectively in season 2 the following 37,62; 32,20; 24,62; 32,30; 17,30 respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two periods was classified as moderate. The K, Ca, Mg and S macronutrients in season 1 were classified as moderate while the N and P showed low CV, then 2 moderate CV was presented by P, Ca, Mg and S and low CV was presented by N and K.A agricultura de precisão trouxe ferramentas que permitem considerar as plantas de uma lavoura, não como um ambiente homogêneo, e sim em toda a sua variabilidade. Ferramentas como o variograma e a krigagem possibilitam a construção de mapas por meio da interpolação dos pontos amostrais que apresentam dependência espacial entre si, fazendo desse modo, se conhecer pontos dentro da malha amostral, sem a necessidade de amostragem Objetivou-se no presente estudo descrever a variabilidade espacial e temporal dos nutrientes foliares e produtividade de uma lavoura de café Conilon em duas épocas de amostragem. O trabalho foi conduzido em uma lavoura comercial de café Conilon da variedade denominada Bamburral, em regime de irrigação por microaspersão, no município de São Mateus - Espírito Santo. A área experimental possui dimensões de 100 x 115 m, onde se amostrou uma malha de 100 pontos com distância mínima de 2 m entre eles. A produtividade da lavoura foi estimada por meio da colheita de uma planta a cada ponto amostral. Os atributos estudados apresentaram estrutura de dependência espacial moderada, sendo o modelo esférico o que melhor se ajustou para todas as variáveis avaliadas. A maior variabilidade foi obtida pela produtividade na época 1 (CV 66,66%), e a menor, para o N também da época 1 (CV 9,21%). Ambas as variáveis apresentaram distribuição normal, com alcance de 14,31 e 44,0 m, respectivamente. O coeficiente de variação dos micronutrientes Fe, Zn, Cu, Mn e B nas duas épocas foi classificado como moderado. Os macronutrientes K, Ca, Mg e S na época 1 foram classificados como moderados enquanto o N e o P apresentaram CV baixo, na época 2 o CV moderado foi apresentado pelo P, Ca, Mg e S e o CV baixo foi apresentado pelo N e K.TextCEZANA, Diego Capucho. Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon. 2014. 68 f. Dissertação (Mestrado em Agricultura Tropical) - Programa de Pós-Graduação em Agricultura Tropical, Universidade Federal do Espírito Santo, Sâo Mateus, 2014.http://repositorio.ufes.br/handle/10/8240porUniversidade Federal do Espírito SantoMestrado em Agricultura TropicalPrograma de Pós-Graduação em Agricultura TropicalUFESBRVariogramKrigingPrecision agricultureCoffea canephoraVariogramaCafé conilonKrigagemAgricultura de precisãoCaféAgronomia63Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilonVariability and spatial correlation of the macro and micronutrients leaf with the productivity of coffee Coniloninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESORIGINALtese_7854_40 - Dissertação - Diego Capucho Cezana20150903-153246.pdfapplication/pdf2100977http://repositorio.ufes.br/bitstreams/6a15073b-f9b8-4a33-a28b-aa22e46b1d07/download8dc97702d900729d466a34e5d8a7c161MD5110/82402024-06-26 15:51:23.443oai:repositorio.ufes.br:10/8240http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-07-11T14:38:48.600065Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
dc.title.alternative.none.fl_str_mv Variability and spatial correlation of the macro and micronutrients leaf with the productivity of coffee Conilon
title Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
spellingShingle Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
Cezana, Diego Capucho
Variogram
Kriging
Precision agriculture
Coffea canephora
Variograma
Café conilon
Agronomia
Krigagem
Agricultura de precisão
Café
63
title_short Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
title_full Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
title_fullStr Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
title_full_unstemmed Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
title_sort Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon
author Cezana, Diego Capucho
author_facet Cezana, Diego Capucho
author_role author
dc.contributor.advisor-co1.fl_str_mv Gontijo, Ivoney
dc.contributor.advisor1.fl_str_mv Partelli, Fábio Luiz
dc.contributor.author.fl_str_mv Cezana, Diego Capucho
dc.contributor.referee1.fl_str_mv Quartezani, Waylson Zancanela
contributor_str_mv Gontijo, Ivoney
Partelli, Fábio Luiz
Quartezani, Waylson Zancanela
dc.subject.eng.fl_str_mv Variogram
Kriging
Precision agriculture
topic Variogram
Kriging
Precision agriculture
Coffea canephora
Variograma
Café conilon
Agronomia
Krigagem
Agricultura de precisão
Café
63
dc.subject.por.fl_str_mv Coffea canephora
Variograma
Café conilon
dc.subject.cnpq.fl_str_mv Agronomia
dc.subject.br-rjfgvb.none.fl_str_mv Krigagem
Agricultura de precisão
Café
dc.subject.udc.none.fl_str_mv 63
description Precision agriculture brought tools that allow us to consider the plants a crop, not as a homogeneous environment, but in all its variability. Tools such as kriging the semivariogram and enable the construction of maps by interpolation of sample points that have spatial dependency between them, thereby causing, if known points in the sampling grid , without the need for sampling. The objective of applying geostatistics to coffee crop and investigate the spatial variability of attributes related to plant productivity, foliar N, P, K, Ca, Mg, Fe, Zn, Cu, Mn and B making estimates using the kriging technique presumes spatial variability and identify interrelationships of these attributes in space. The study was conducted on a commercial crop Conilon coffee variety called Bamburral, under irrigation, micro spray, in São Mateus state of Espírito Santo - Brazil. The experimental area has dimensions of 100x115 m, where we sampled a grid of 100 points with a minimum distance of 2 m between them. The crop productivity was estimated by harvesting a plant every sample point. The attributes studied showed moderate spatial dependence structure, the spherical model being the best fit for all variables. The greatest variability was obtained by productivity in season 1 (CV 66.66%) and the lowest for the season 1 also N (CV 9.21%). Both variables were normally distributed, with a range of 14,31 and 44,0 m, respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two seasons we observed a moderate CV, being in season 1, following 30,77; 19,02; 37,36; 32,75 and 37,21 respectively in season 2 the following 37,62; 32,20; 24,62; 32,30; 17,30 respectively. The coefficient of variation of the micronutrients Fe, Zn, Cu, Mn and B in the two periods was classified as moderate. The K, Ca, Mg and S macronutrients in season 1 were classified as moderate while the N and P showed low CV, then 2 moderate CV was presented by P, Ca, Mg and S and low CV was presented by N and K.
publishDate 2014
dc.date.issued.fl_str_mv 2014-02-27
dc.date.accessioned.fl_str_mv 2018-08-01T23:26:45Z
dc.date.available.fl_str_mv 2018-08-01
2018-08-01T23:26:45Z
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dc.identifier.citation.fl_str_mv CEZANA, Diego Capucho. Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon. 2014. 68 f. Dissertação (Mestrado em Agricultura Tropical) - Programa de Pós-Graduação em Agricultura Tropical, Universidade Federal do Espírito Santo, Sâo Mateus, 2014.
dc.identifier.uri.fl_str_mv http://repositorio.ufes.br/handle/10/8240
identifier_str_mv CEZANA, Diego Capucho. Variabilidade espaço-temporal de nutrientes foliares e produtividade do café conilon. 2014. 68 f. Dissertação (Mestrado em Agricultura Tropical) - Programa de Pós-Graduação em Agricultura Tropical, Universidade Federal do Espírito Santo, Sâo Mateus, 2014.
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Mestrado em Agricultura Tropical
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