Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro
Autor(a) principal: | |
---|---|
Data de Publicação: | 2012 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFPel - Guaiaca |
Texto Completo: | http://repositorio.ufpel.edu.br/handle/ri/2363 |
Resumo: | The fruitculture is an important component of Brazilian agribusiness assuming prominence in the economy of the state of Rio Grande do Sul (RS). The municipality of Pelotas, located in the south part of RS state, is responsible for 90% of peach production having adequate conditions of climate and soil for its production. One of the main problems faced by fruit farmers is the management of the peach orchard, which has been homogeneously managed, without considering the spatial and temporal variability of soil, plant and climate attributes in the peach orchard. Therefore, some aspects deserve attention from researchers, among them we can highlight the knowledge of the physical environment in which the peach tree grows. This work had as objectives: i. to evaluate the relationship between soil hydric-physical and crop attributes through the canonical correlation analysis, ii. to determine the spatial and temporal structures of soil hydric-physical, crop and climate attributes, applying geostatistics analysis. The work was conducted in an experimental area, located in the city of Morro Redondo-RS, cultivated with 18 line peach crops, cv. Esmeralda, totaling 1,450 plants. In this area was established a experimental grid consisted of 101 experimental peach trees. At a distance of 0.50m to the right side of each crop tree, trenches were opened to collect disturbed and undisturbed soil samples to determine the following soil hydric-physical attributes, in the 0.00-0.10m and 0.10-0.20m soil layers: sand, silt and clay contents, soil bulk density, soil total porosity, soil macro- and micro-porosities, and volumetric soil water content. We also evaluated the following peach crop attributes in the years of 2010 and 2011: trunk diameter, size of the fruit/plant, total number of fruits/plant, fresh mass of fruits, fruit firmness, brix content and crop productivity. The attributes of climate air temperature and relative humidity were also evaluated in the peach orchard. All data sets were submitted to descriptive statistical analysis. The correlation between soil and crop attributes was evaluated by canonical correlation analysis. The spatial and temporal variability structures of all data sets were evaluated by geostatistics as well as the relationship between them. Results show that the canonical correlation analysis identified the highest correlation coefficients of soil micro-porosity and clay content variables and peach productivity, and that the geostatistical analysis allowed establishing homogeneous management zones of soil, crop and climate attributes as well as to infer, visually, spatial inter-relationships between variables. The association of soil, crop and climate maps indicates that future differentiated managements of agricultural practices on the peach orchard should be based on the spatial distribution of these variables aiming rational water and fertilizer applications to preserve natural resources in the agricultural farmers. |
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http://lattes.cnpq.br/2456180398954129http://lattes.cnpq.br/9067196302691355Reisser Júnior, Carloshttp://lattes.cnpq.br/3835688748235091Timm, Luís CarlosTerra, Viviane Santos Silva2014-08-20T14:33:01Z2013-08-202014-08-20T14:33:01Z2012-12-27TERRA, Viviane Santos Silva. Spatial and temporal variability of agronomic attributes in peach orchard. 2012. 103 f. Tese (Doutorado em Agricultura familiar) - Universidade Federal de Pelotas, Pelotas, 2012.http://repositorio.ufpel.edu.br/handle/ri/2363The fruitculture is an important component of Brazilian agribusiness assuming prominence in the economy of the state of Rio Grande do Sul (RS). The municipality of Pelotas, located in the south part of RS state, is responsible for 90% of peach production having adequate conditions of climate and soil for its production. One of the main problems faced by fruit farmers is the management of the peach orchard, which has been homogeneously managed, without considering the spatial and temporal variability of soil, plant and climate attributes in the peach orchard. Therefore, some aspects deserve attention from researchers, among them we can highlight the knowledge of the physical environment in which the peach tree grows. This work had as objectives: i. to evaluate the relationship between soil hydric-physical and crop attributes through the canonical correlation analysis, ii. to determine the spatial and temporal structures of soil hydric-physical, crop and climate attributes, applying geostatistics analysis. The work was conducted in an experimental area, located in the city of Morro Redondo-RS, cultivated with 18 line peach crops, cv. Esmeralda, totaling 1,450 plants. In this area was established a experimental grid consisted of 101 experimental peach trees. At a distance of 0.50m to the right side of each crop tree, trenches were opened to collect disturbed and undisturbed soil samples to determine the following soil hydric-physical attributes, in the 0.00-0.10m and 0.10-0.20m soil layers: sand, silt and clay contents, soil bulk density, soil total porosity, soil macro- and micro-porosities, and volumetric soil water content. We also evaluated the following peach crop attributes in the years of 2010 and 2011: trunk diameter, size of the fruit/plant, total number of fruits/plant, fresh mass of fruits, fruit firmness, brix content and crop productivity. The attributes of climate air temperature and relative humidity were also evaluated in the peach orchard. All data sets were submitted to descriptive statistical analysis. The correlation between soil and crop attributes was evaluated by canonical correlation analysis. The spatial and temporal variability structures of all data sets were evaluated by geostatistics as well as the relationship between them. Results show that the canonical correlation analysis identified the highest correlation coefficients of soil micro-porosity and clay content variables and peach productivity, and that the geostatistical analysis allowed establishing homogeneous management zones of soil, crop and climate attributes as well as to infer, visually, spatial inter-relationships between variables. The association of soil, crop and climate maps indicates that future differentiated managements of agricultural practices on the peach orchard should be based on the spatial distribution of these variables aiming rational water and fertilizer applications to preserve natural resources in the agricultural farmers.A fruticultura é um importante componente do agronegócio brasileiro assumindo destaque na economia do estado do Rio Grande do Sul (RS). O município de Pelotas, localizado no sul do RS, é responsável por 90% da produção de pêssego, possuindo condições adequadas de clima e solo para a sua produção. Um dos principais problemas enfrentados pelos produtores de frutas é o manejo do pomar, que tem sido realizado de forma homogênea, sem considerar a variabilidade espacial e temporal dos atributos do solo, da planta e do clima dentro do pomar. Desta forma, alguns aspectos merecem atenção dos pesquisadores, dentre os quais, pode-se destacar o conhecimento do ambiente físico no qual o pessegueiro se desenvolve. Este trabalho teve como objetivos avaliar a relação entre os atributos físico-hídricos do solo e da planta por meio da análise de correlação canônica, determinar a estrutura de correlação espacial e temporal dos atributos físico-hídricos do solo, da planta de pessegueiro e do clima, por meio da técnica de geoestatística. O trabalho foi conduzido em uma área experimental, localizada no município do Morro Redondo-RS, cultivada com a cultivar de pêssego Esmeralda com 18 linhas, totalizando 1.450 plantas, onde foi estabelecida uma malha experimental composta por 101 plantas. A 0,50m do lado direito da cada planta, foram abertas trincheiras para a coleta de amostras deformas e indeformadas de solo para determinação dos atributos físico-hídricos, nas profundidades de 0,00-0,10m e de 0,10-0,20m: teores de areia, silte e argila, densidade do solo, porosidade total, macro e microporosidade do solo e umidade volumétrica. Também foram avaliados os seguintes atributos da planta nos anos de 2010 e 2011: diâmetro do tronco, tamanho do fruto/planta, número total de frutos/planta, massa fresca dos frutos, firmeza de polpa, teor de brix e produtividade. Os atributos do clima temperatura do ar e umidade relativa do ar também foram avaliados dentro do pomar. Todos os conjuntos de dados foram submetidos a análise exploratória por meio da estatística descritiva. A análise de correlação canônica foi aplicada para analisar as inter-relações entre as variáveis do solo e da planta, enquanto que, a geoestatística foi aplicada para avaliar a estrutura de correlação espacial e temporal de todos os dados bem como relação entre eles. Resultados mostram que a análise de correlação canônica permitiu identificar as variáveis do solo argila e microporosidade como as mais fortemente correlacionadas com a produtividade do pessegueiro e que a análise geoestatística permitiu delimitar as zonas homogêneas dos atributos do solo, da planta e do clima bem como inferir visualmente sobre as inter-relações espaciais entre as variáveis. A associação dos mapas das variáveis do solo, da planta e do clima indica que os futuros manejos diferenciados de práticas agrícolas deverão se basear na distribuição espacial das variáveis no pomar de pessegueiro visto que isto possibilitará a racionalização da aplicação de insumos e de água e a preservação dos recursos naturais na propriedade.application/pdfporUniversidade Federal de PelotasPrograma de Pós-Graduação em Sistemas de Produção Agrícola FamiliarUFPelBRFaculdade de Agronomia Eliseu MacielPrunus pérsicaAnálise multivariadaAtributos físico-hídricos do soloAtributos da plantaAtributos do climaAnálise geoestatísticaPrunus persicaMultivariate analysisSoil hydric-physical propertiesCrop attributesClimate attributesGeostatistical analysisCNPQ::CIENCIAS AGRARIAS::AGRONOMIAVariabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiroSpatial and temporal variability of agronomic attributes in peach orchardinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFPel - Guaiacainstname:Universidade Federal de Pelotas (UFPEL)instacron:UFPELORIGINALtese_viviane_santos_silva_terra.pdfapplication/pdf3226542http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/2363/1/tese_viviane_santos_silva_terra.pdf468c5162baa20a455b268e2abda6ef7eMD51open accessTEXTtese_viviane_santos_silva_terra.pdf.txttese_viviane_santos_silva_terra.pdf.txtExtracted Texttext/plain161439http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/2363/2/tese_viviane_santos_silva_terra.pdf.txtea569abc5fb7876e7d5ae3508535ef6dMD52open accessTHUMBNAILtese_viviane_santos_silva_terra.pdf.jpgtese_viviane_santos_silva_terra.pdf.jpgGenerated Thumbnailimage/jpeg1317http://guaiaca.ufpel.edu.br/xmlui/bitstream/123456789/2363/3/tese_viviane_santos_silva_terra.pdf.jpge9ea4eea9f9172e0be67f0ba055b69a3MD53open access123456789/23632019-08-16 10:34:17.19open accessoai:guaiaca.ufpel.edu.br:123456789/2363Repositório InstitucionalPUBhttp://repositorio.ufpel.edu.br/oai/requestrippel@ufpel.edu.br || repositorio@ufpel.edu.br || aline.batista@ufpel.edu.bropendoar:2019-08-16T13:34:17Repositório Institucional da UFPel - Guaiaca - Universidade Federal de Pelotas (UFPEL)false |
dc.title.por.fl_str_mv |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro |
dc.title.alternative.eng.fl_str_mv |
Spatial and temporal variability of agronomic attributes in peach orchard |
title |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro |
spellingShingle |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro Terra, Viviane Santos Silva Prunus pérsica Análise multivariada Atributos físico-hídricos do solo Atributos da planta Atributos do clima Análise geoestatística Prunus persica Multivariate analysis Soil hydric-physical properties Crop attributes Climate attributes Geostatistical analysis CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro |
title_full |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro |
title_fullStr |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro |
title_full_unstemmed |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro |
title_sort |
Variabilidade espacial e temporal de atributos agronômicos em pomar de pessegueiro |
author |
Terra, Viviane Santos Silva |
author_facet |
Terra, Viviane Santos Silva |
author_role |
author |
dc.contributor.authorLattes.por.fl_str_mv |
http://lattes.cnpq.br/2456180398954129 |
dc.contributor.advisorLattes.por.fl_str_mv |
http://lattes.cnpq.br/9067196302691355 |
dc.contributor.advisor-co1.fl_str_mv |
Reisser Júnior, Carlos |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/3835688748235091 |
dc.contributor.advisor1.fl_str_mv |
Timm, Luís Carlos |
dc.contributor.author.fl_str_mv |
Terra, Viviane Santos Silva |
contributor_str_mv |
Reisser Júnior, Carlos Timm, Luís Carlos |
dc.subject.por.fl_str_mv |
Prunus pérsica Análise multivariada Atributos físico-hídricos do solo Atributos da planta Atributos do clima Análise geoestatística |
topic |
Prunus pérsica Análise multivariada Atributos físico-hídricos do solo Atributos da planta Atributos do clima Análise geoestatística Prunus persica Multivariate analysis Soil hydric-physical properties Crop attributes Climate attributes Geostatistical analysis CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.eng.fl_str_mv |
Prunus persica Multivariate analysis Soil hydric-physical properties Crop attributes Climate attributes Geostatistical analysis |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
description |
The fruitculture is an important component of Brazilian agribusiness assuming prominence in the economy of the state of Rio Grande do Sul (RS). The municipality of Pelotas, located in the south part of RS state, is responsible for 90% of peach production having adequate conditions of climate and soil for its production. One of the main problems faced by fruit farmers is the management of the peach orchard, which has been homogeneously managed, without considering the spatial and temporal variability of soil, plant and climate attributes in the peach orchard. Therefore, some aspects deserve attention from researchers, among them we can highlight the knowledge of the physical environment in which the peach tree grows. This work had as objectives: i. to evaluate the relationship between soil hydric-physical and crop attributes through the canonical correlation analysis, ii. to determine the spatial and temporal structures of soil hydric-physical, crop and climate attributes, applying geostatistics analysis. The work was conducted in an experimental area, located in the city of Morro Redondo-RS, cultivated with 18 line peach crops, cv. Esmeralda, totaling 1,450 plants. In this area was established a experimental grid consisted of 101 experimental peach trees. At a distance of 0.50m to the right side of each crop tree, trenches were opened to collect disturbed and undisturbed soil samples to determine the following soil hydric-physical attributes, in the 0.00-0.10m and 0.10-0.20m soil layers: sand, silt and clay contents, soil bulk density, soil total porosity, soil macro- and micro-porosities, and volumetric soil water content. We also evaluated the following peach crop attributes in the years of 2010 and 2011: trunk diameter, size of the fruit/plant, total number of fruits/plant, fresh mass of fruits, fruit firmness, brix content and crop productivity. The attributes of climate air temperature and relative humidity were also evaluated in the peach orchard. All data sets were submitted to descriptive statistical analysis. The correlation between soil and crop attributes was evaluated by canonical correlation analysis. The spatial and temporal variability structures of all data sets were evaluated by geostatistics as well as the relationship between them. Results show that the canonical correlation analysis identified the highest correlation coefficients of soil micro-porosity and clay content variables and peach productivity, and that the geostatistical analysis allowed establishing homogeneous management zones of soil, crop and climate attributes as well as to infer, visually, spatial inter-relationships between variables. The association of soil, crop and climate maps indicates that future differentiated managements of agricultural practices on the peach orchard should be based on the spatial distribution of these variables aiming rational water and fertilizer applications to preserve natural resources in the agricultural farmers. |
publishDate |
2012 |
dc.date.issued.fl_str_mv |
2012-12-27 |
dc.date.available.fl_str_mv |
2013-08-20 2014-08-20T14:33:01Z |
dc.date.accessioned.fl_str_mv |
2014-08-20T14:33:01Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
TERRA, Viviane Santos Silva. Spatial and temporal variability of agronomic attributes in peach orchard. 2012. 103 f. Tese (Doutorado em Agricultura familiar) - Universidade Federal de Pelotas, Pelotas, 2012. |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufpel.edu.br/handle/ri/2363 |
identifier_str_mv |
TERRA, Viviane Santos Silva. Spatial and temporal variability of agronomic attributes in peach orchard. 2012. 103 f. Tese (Doutorado em Agricultura familiar) - Universidade Federal de Pelotas, Pelotas, 2012. |
url |
http://repositorio.ufpel.edu.br/handle/ri/2363 |
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por |
language |
por |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Pelotas |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Sistemas de Produção Agrícola Familiar |
dc.publisher.initials.fl_str_mv |
UFPel |
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BR |
dc.publisher.department.fl_str_mv |
Faculdade de Agronomia Eliseu Maciel |
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Universidade Federal de Pelotas |
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