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Registro Completo |
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
14/11/2019 |
Data da última atualização: |
06/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
AYROZA, D. M. M. de R.; CARMO, C. F. do; CAMARGO, A. F. M.; OLIVEIRA, M. D. de; PETESSE, M. L. |
Afiliação: |
DAERCY MARIA MONTEIRO DE REZENDE AYROZA, Instituto de Pesca, Agência Paulista de Tecnologia dos Agronegócios, São Paulo, SP, Brazil; CLOVIS FERREIRA DO CARMO, Instituto de Pesca, Agência Paulista de Tecnologia dos Agronegócios, São Paulo, SP, Brazil; ANTONIO FERNANDO MONTEIRO CAMARGO, Universidade Estadual Paulista, Rio Claro, SP, Brazil; MARCIA DIVINA DE OLIVEIRA, CPAP; MARIA LETIZIA PETESSE, Instituto de Pesca, Agência Paulista de Tecnologia dos Agronegócios, São Paulo, SP, Brazil. |
Título: |
Net cages enhance golden mussel (Limnoperna fortunei) larval density and condition factor. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Freshwater Biology, v. 64, n. 9, p.1593-1602, sep. 2019. |
DOI: |
DOI: 10.1111/fwb.13355 |
Idioma: |
Português |
Conteúdo: |
1. Cage fish farming is an important economic activity in Brazil where tilapia (Oreochromis niloticus) is the main cultivated species. To investigate the cage fish farm as a vector for golden mussel invasion, we hypothesised that: (1) Limnoperna fortunei, a freshwater bivalve mollusc, finds greater food availability in the cage fish farm; (2) the cage fish farm favours mollusc colonisation and its nutritional status; and (3) its performance in the reservoir would vary over the year. 2. We obtained data from limnological variables as well as the number of larvae and adult individuals, to evaluate condition index (CI) monthly from February 2015 to January of 2016. We established sampling stations at three points with fish farming and three points without fish farming (controls) in the Canoas II Reservoir, Paranapanema River, Brazil. We used principal component analysis (PCA) to identify spatial and temporal distribution of samples according to limnological variables. We performed a linear mixed model analysis to test the hypothesis of no difference between areas (fish farm and control) and time (months) for larval density and CI of L. fortunei. 3. The first PCA axis (28.48% of variance) revealed a temporal gradient, showing the separation between cold and hot months. The second PCA axis (19.61% of variance) separated the samples of control and fish farms; fish farms displayed higher concentrations of total phosphorus, nitrite, and chlorophyll a. Larval densities of L. fortunei were higher in fish cage areas with time being responsible for 35% of this variation. Mussel CI was also higher in fish farms and time was responsible for 36% of the variation. 4. We conclude that fish production in cages contributes to the establishment of golden mussels in the reservoir. Our results serve as a warning that other molluscs or invasive species may be favoured by aquaculture activities in aquatic environments. The colonisation of the mussel in the reservoir varies during the year in response to seasonality. Menos1. Cage fish farming is an important economic activity in Brazil where tilapia (Oreochromis niloticus) is the main cultivated species. To investigate the cage fish farm as a vector for golden mussel invasion, we hypothesised that: (1) Limnoperna fortunei, a freshwater bivalve mollusc, finds greater food availability in the cage fish farm; (2) the cage fish farm favours mollusc colonisation and its nutritional status; and (3) its performance in the reservoir would vary over the year. 2. We obtained data from limnological variables as well as the number of larvae and adult individuals, to evaluate condition index (CI) monthly from February 2015 to January of 2016. We established sampling stations at three points with fish farming and three points without fish farming (controls) in the Canoas II Reservoir, Paranapanema River, Brazil. We used principal component analysis (PCA) to identify spatial and temporal distribution of samples according to limnological variables. We performed a linear mixed model analysis to test the hypothesis of no difference between areas (fish farm and control) and time (months) for larval density and CI of L. fortunei. 3. The first PCA axis (28.48% of variance) revealed a temporal gradient, showing the separation between cold and hot months. The second PCA axis (19.61% of variance) separated the samples of control and fish farms; fish farms displayed higher concentrations of total phosphorus, nitrite, and chlorophyll a. Larval densities of L. fortunei... Mostrar Tudo |
Palavras-Chave: |
Mexilhão dourado. |
Thesagro: |
Aquicultura; Mexilhão; Reservatório de Água. |
Thesaurus Nal: |
Aquaculture farms; Mussels; Water reservoirs. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02823naa a2200265 a 4500 001 2114356 005 2020-01-06 008 2019 bl uuuu u00u1 u #d 024 7 $aDOI: 10.1111/fwb.13355$2DOI 100 1 $aAYROZA, D. M. M. de R. 245 $aNet cages enhance golden mussel (Limnoperna fortunei) larval density and condition factor.$h[electronic resource] 260 $c2019 520 $a1. Cage fish farming is an important economic activity in Brazil where tilapia (Oreochromis niloticus) is the main cultivated species. To investigate the cage fish farm as a vector for golden mussel invasion, we hypothesised that: (1) Limnoperna fortunei, a freshwater bivalve mollusc, finds greater food availability in the cage fish farm; (2) the cage fish farm favours mollusc colonisation and its nutritional status; and (3) its performance in the reservoir would vary over the year. 2. We obtained data from limnological variables as well as the number of larvae and adult individuals, to evaluate condition index (CI) monthly from February 2015 to January of 2016. We established sampling stations at three points with fish farming and three points without fish farming (controls) in the Canoas II Reservoir, Paranapanema River, Brazil. We used principal component analysis (PCA) to identify spatial and temporal distribution of samples according to limnological variables. We performed a linear mixed model analysis to test the hypothesis of no difference between areas (fish farm and control) and time (months) for larval density and CI of L. fortunei. 3. The first PCA axis (28.48% of variance) revealed a temporal gradient, showing the separation between cold and hot months. The second PCA axis (19.61% of variance) separated the samples of control and fish farms; fish farms displayed higher concentrations of total phosphorus, nitrite, and chlorophyll a. Larval densities of L. fortunei were higher in fish cage areas with time being responsible for 35% of this variation. Mussel CI was also higher in fish farms and time was responsible for 36% of the variation. 4. We conclude that fish production in cages contributes to the establishment of golden mussels in the reservoir. Our results serve as a warning that other molluscs or invasive species may be favoured by aquaculture activities in aquatic environments. The colonisation of the mussel in the reservoir varies during the year in response to seasonality. 650 $aAquaculture farms 650 $aMussels 650 $aWater reservoirs 650 $aAquicultura 650 $aMexilhão 650 $aReservatório de Água 653 $aMexilhão dourado 700 1 $aCARMO, C. F. do 700 1 $aCAMARGO, A. F. M. 700 1 $aOLIVEIRA, M. D. de 700 1 $aPETESSE, M. L. 773 $tFreshwater Biology$gv. 64, n. 9, p.1593-1602, sep. 2019.
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Embrapa Pantanal (CPAP) |
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Registro Completo
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
20/02/2002 |
Data da última atualização: |
27/03/2015 |
Autoria: |
ABREU, U. G. P. de; MORAES, A. S.; SEIDL, A. F. |
Afiliação: |
Embrapa Pantanal (Corumba, MS); Colorado State University (Fort Collins, CO). |
Título: |
Tecnologias apropriadas para o desenvolvimento sustentado da bovinocultura de corte no Pantanal. |
Ano de publicação: |
2001 |
Fonte/Imprenta: |
Corumba: Embrapa Pantanal, 2001. |
Páginas: |
31p. |
Série: |
(Embrapa Pantanal. Documentos, 24). |
Idioma: |
Português |
Conteúdo: |
Tecnologias Apropriadas para o desenvolvimento sustentado da bovinocultura de corte no Pantanal; O sistema tradicional de producao; A cadeia produtiva da pecuaria de corte no Pantanal; Distribuicao e evolucao dos principais aspectos agropecuarios nas sub-regioes do Pantanal; Introducao de tecnologias na criacao de bovinos de corte no Pantanal. |
Palavras-Chave: |
Appropriate technology; Bovinae; Bovino de corte; Bovino de corte - Tecnologia - Pantanal - Desenvolvimento sustentado - Pecuaria - Producao; Brasil; Corumbá; Desenvolvimento sustentado; Food chains; Mato Grosso; Mato Grosso do Sul; Production; Sustainability; Tecnologia apropriado; Wetland. |
Thesagro: |
Bovinocultura; Cadeia Alimentar; Desenvolvimento Sustentável; Gado de Corte; Pecuária; Produção; Produção Animal; Tecnologia; Tecnologia Apropriada. |
Thesaurus NAL: |
beef cattle; Pantanal; sustainable development; technology. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/37741/1/DOC24.pdf
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Marc: |
LEADER 01726nam a2200481 a 4500 001 1809811 005 2015-03-27 008 2001 bl uuuu u0uu1 u #d 100 1 $aABREU, U. G. P. de 245 $aTecnologias apropriadas para o desenvolvimento sustentado da bovinocultura de corte no Pantanal. 260 $aCorumba: Embrapa Pantanal$c2001 300 $a31p. 490 $a(Embrapa Pantanal. Documentos, 24). 520 $aTecnologias Apropriadas para o desenvolvimento sustentado da bovinocultura de corte no Pantanal; O sistema tradicional de producao; A cadeia produtiva da pecuaria de corte no Pantanal; Distribuicao e evolucao dos principais aspectos agropecuarios nas sub-regioes do Pantanal; Introducao de tecnologias na criacao de bovinos de corte no Pantanal. 650 $abeef cattle 650 $aPantanal 650 $asustainable development 650 $atechnology 650 $aBovinocultura 650 $aCadeia Alimentar 650 $aDesenvolvimento Sustentável 650 $aGado de Corte 650 $aPecuária 650 $aProdução 650 $aProdução Animal 650 $aTecnologia 650 $aTecnologia Apropriada 653 $aAppropriate technology 653 $aBovinae 653 $aBovino de corte 653 $aBovino de corte - Tecnologia - Pantanal - Desenvolvimento sustentado - Pecuaria - Producao 653 $aBrasil 653 $aCorumbá 653 $aDesenvolvimento sustentado 653 $aFood chains 653 $aMato Grosso 653 $aMato Grosso do Sul 653 $aProduction 653 $aSustainability 653 $aTecnologia apropriado 653 $aWetland 700 1 $aMORAES, A. S. 700 1 $aSEIDL, A. F.
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