Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus)
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/8038 |
Resumo: | Due to the growth of tilapia production and adaptability to different breeding conditions, to advances in technology and its acceptability by the consumer, this can be a viable alternative for small and medium-sized rural producers to increase income and diversify production. This work aimed to estimate the production potential of Nile tilapia, in ground-excavated ponds, through spatial analysis using Geographic Information System (GIS). Three municipalities located in the center-south region of the state of Paraná, Brazil, were chosen, which are not considered producers of tilapia. Satellite images were used through the QGIS software to map the ground-excavated ponds, which made it possible to estimate the productive potential of the fish, taking into account in the calculation an average productivity of 54 t/ha/year. Finally, the ellipse technique of directional distribution was used in order to identify the behavior of the spatial distribution of the ponds, providing the knowledge in its density and orientation. The results showed that to obtain the best tilapia production it is necessary to work with a safe margin of approximately 300 days to fatten the fish, precisely because it respects the regional climate throughout the year and especially in the winter months, where there is less weight increase in the species. Also, it was estimated that there is the possibility that the region will slaughter 34.12 t/fish/day, under standardized conditions which is considered a relevant production, in relation to the national production data presented in recent years by official agencies. |
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Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus)Análisis espacial de eventos puntuales para estimar el potencial productivo de la tilapia del Nilo (Oreochromis niloticus)Análise espacial de eventos pontuais para estimar o potencial produtivo da tilápia do Nilo (Oreochromis niloticus)Software QGISSistemas de informações geográficaEstimativa de densidade kernelDistribuição direcionalAquicultura.QGIS softwareGeographic information systemsKernel density estimationDirectional distributionAquaculture.Software QGISSistemas de información geográficaEstimación de la densidad kernelDistribución direccionalAcuicultura.Due to the growth of tilapia production and adaptability to different breeding conditions, to advances in technology and its acceptability by the consumer, this can be a viable alternative for small and medium-sized rural producers to increase income and diversify production. This work aimed to estimate the production potential of Nile tilapia, in ground-excavated ponds, through spatial analysis using Geographic Information System (GIS). Three municipalities located in the center-south region of the state of Paraná, Brazil, were chosen, which are not considered producers of tilapia. Satellite images were used through the QGIS software to map the ground-excavated ponds, which made it possible to estimate the productive potential of the fish, taking into account in the calculation an average productivity of 54 t/ha/year. Finally, the ellipse technique of directional distribution was used in order to identify the behavior of the spatial distribution of the ponds, providing the knowledge in its density and orientation. The results showed that to obtain the best tilapia production it is necessary to work with a safe margin of approximately 300 days to fatten the fish, precisely because it respects the regional climate throughout the year and especially in the winter months, where there is less weight increase in the species. Also, it was estimated that there is the possibility that the region will slaughter 34.12 t/fish/day, under standardized conditions which is considered a relevant production, in relation to the national production data presented in recent years by official agencies.Debido al crecimiento de la producción de tilapia y la adaptabilidad a las diferentes condiciones de creación, los avances tecnológicos y su aceptabilidad por parte del consumidor, esta puede ser una alternativa viable para los pequeños y medianos productores rurales para aumentar los ingresos y diversificar la producción. Este trabajo tuvo como objetivo estimar el potencial de producción de la tilapia del Nilo, en viveros excavados, a través de análisis espacial utilizando Sistema de Información Geográfica (SIG). Fueron elegidos 3 municipios ubicados en la región centro-sur del estado de Paraná, Brasil, los cuales no son considerados productores de tilapia. Se utilizó imágenes de satélite por medio del software QGIS para realizar el mapeo de los viveros excavados, lo que permitió estimar el potencial productivo del pescado, teniendo en cuenta en el cálculo una productividad media de 54 t/ha/año. Finalmente, se utilizó la técnica de la elipse de distribución direccional para identificar el comportamiento de la distribución espacial de los viveros, proporcionando el conocimiento en su densidad y orientación. Los resultados mostraron que para obtener la mejor producción de tilapia es necesario trabajar con un margen seguro de aproximadamente 300 días para el engorde de los peces, precisamente porque se respeta el clima regional durante todo el año y principalmente en los meses de invierno, donde se produce un menor aumento de peso de la especie. Además, se estimó que la posibilidad de que la región sacrifique 34,12 t/pescado/día, en condiciones estandarizadas lo que se considera una producción relevante en relación con los datos de producción nacional, presentados en los últimos años por los organismos oficiales.Devido ao crescimento da produção de tilápia e adaptabilidade a diferentes condições de criação, aos avanços da tecnologia e da sua aceitabilidade por parte do consumidor, esta pode ser uma alternativa viável para os pequenos e médios produtores rurais para o aumento da renda e diversificação da produção. Este trabalho teve como objetivo estimar o potencial de produção da tilápia do Nilo, em viveiros escavados, através de análise espacial utilizando Sistema de Informação Geográfica (SIG). Foram escolhidos 3 municípios localizados na região centro-sul do estado do Paraná, Brasil, os quais não são considerados produtores de tilápia. Utilizou-se imagens de satélite por meio do software QGIS para realizar o mapeamento dos viveiros escavados, o que possibilitou estimar o potencial produtivo do pescado, levando-se em consideração no cálculo uma produtividade média de 54 t/ha/ano. Por fim, utilizou-se a técnica da elipse de distribuição direcional, a fim de identificar o comportamento da distribuição espacial dos viveiros, proporcionando o conhecimento na sua densidade e orientação. Os resultados mostraram que para obter a melhor produção da tilápia é necessário trabalhar com uma margem segura de aproximadamente 300 dias para engorda dos peixes, justamente por respeitar o clima regional ao longo do ano e principalmente nos meses de inverno, onde ocorre menor incremento de peso na espécie. Ainda, estimou-se que há possibilidade de a região abater 34,12 t/peixe/dia, em condições padronizadas, o que é considerada uma produção relevante em relação aos dados de produção nacional, apresentados nos últimos anos pelos órgãos oficiais.Research, Society and Development2020-09-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/803810.33448/rsd-v9i9.8038Research, Society and Development; Vol. 9 No. 9; e855998038Research, Society and Development; Vol. 9 Núm. 9; e855998038Research, Society and Development; v. 9 n. 9; e8559980382525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/8038/7126Copyright (c) 2020 Humberto Rodrigues Francisco; Anderson Coldebella; Arlindo Fabrício Corrêia; Aldi Feidenhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFrancisco, Humberto RodriguesColdebella, AndersonCorrêia, Arlindo FabrícioFeiden, Aldi2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/8038Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:30:36.416798Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) Análisis espacial de eventos puntuales para estimar el potencial productivo de la tilapia del Nilo (Oreochromis niloticus) Análise espacial de eventos pontuais para estimar o potencial produtivo da tilápia do Nilo (Oreochromis niloticus) |
title |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) |
spellingShingle |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) Francisco, Humberto Rodrigues Software QGIS Sistemas de informações geográfica Estimativa de densidade kernel Distribuição direcional Aquicultura. QGIS software Geographic information systems Kernel density estimation Directional distribution Aquaculture. Software QGIS Sistemas de información geográfica Estimación de la densidad kernel Distribución direccional Acuicultura. |
title_short |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) |
title_full |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) |
title_fullStr |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) |
title_full_unstemmed |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) |
title_sort |
Spatial analysis of point events to estimate the productive potential of the Nile tilapia (Oreochromis niloticus) |
author |
Francisco, Humberto Rodrigues |
author_facet |
Francisco, Humberto Rodrigues Coldebella, Anderson Corrêia, Arlindo Fabrício Feiden, Aldi |
author_role |
author |
author2 |
Coldebella, Anderson Corrêia, Arlindo Fabrício Feiden, Aldi |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Francisco, Humberto Rodrigues Coldebella, Anderson Corrêia, Arlindo Fabrício Feiden, Aldi |
dc.subject.por.fl_str_mv |
Software QGIS Sistemas de informações geográfica Estimativa de densidade kernel Distribuição direcional Aquicultura. QGIS software Geographic information systems Kernel density estimation Directional distribution Aquaculture. Software QGIS Sistemas de información geográfica Estimación de la densidad kernel Distribución direccional Acuicultura. |
topic |
Software QGIS Sistemas de informações geográfica Estimativa de densidade kernel Distribuição direcional Aquicultura. QGIS software Geographic information systems Kernel density estimation Directional distribution Aquaculture. Software QGIS Sistemas de información geográfica Estimación de la densidad kernel Distribución direccional Acuicultura. |
description |
Due to the growth of tilapia production and adaptability to different breeding conditions, to advances in technology and its acceptability by the consumer, this can be a viable alternative for small and medium-sized rural producers to increase income and diversify production. This work aimed to estimate the production potential of Nile tilapia, in ground-excavated ponds, through spatial analysis using Geographic Information System (GIS). Three municipalities located in the center-south region of the state of Paraná, Brazil, were chosen, which are not considered producers of tilapia. Satellite images were used through the QGIS software to map the ground-excavated ponds, which made it possible to estimate the productive potential of the fish, taking into account in the calculation an average productivity of 54 t/ha/year. Finally, the ellipse technique of directional distribution was used in order to identify the behavior of the spatial distribution of the ponds, providing the knowledge in its density and orientation. The results showed that to obtain the best tilapia production it is necessary to work with a safe margin of approximately 300 days to fatten the fish, precisely because it respects the regional climate throughout the year and especially in the winter months, where there is less weight increase in the species. Also, it was estimated that there is the possibility that the region will slaughter 34.12 t/fish/day, under standardized conditions which is considered a relevant production, in relation to the national production data presented in recent years by official agencies. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-10 |
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://rsdjournal.org/index.php/rsd/article/view/8038 10.33448/rsd-v9i9.8038 |
url |
https://rsdjournal.org/index.php/rsd/article/view/8038 |
identifier_str_mv |
10.33448/rsd-v9i9.8038 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/8038/7126 |
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.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 9; e855998038 Research, Society and Development; Vol. 9 Núm. 9; e855998038 Research, Society and Development; v. 9 n. 9; e855998038 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052780534300672 |