Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease

A dynamic stock model was used to predict biomass of shrimp Litopenaeus vannamei when affected by white spot disease. A database prepared from records of intensive commercial farms in Mexico was used for estimating model parameters for summer and winter production cycles. Parameters were analyzed in...

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Autores: Ruíz-Velazco Arce, Javier Marcial J., Hernández Llamas, Alfredo, Gómez Muñoz, Víctor Manuel, Magallón, Francisco. J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2010
País:México
Institución:Instituto Politécnico Nacional
Repositorio:Repositorio Digital del IPN
OAI Identifier:oai:www.repositoriodigital.ipn.mx:123456789/13709
Acceso en línea:http://www.repositoriodigital.ipn.mx/handle/123456789/13709
Access Level:acceso abierto
Palabra clave:Litopenaeus Vannamei
White spot Disease (WSSV)
Production Dynamics
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spelling Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot DiseaseRuíz-Velazco Arce, Javier Marcial J.Hernández Llamas, AlfredoGómez Muñoz, Víctor ManuelMagallón, Francisco. J.Litopenaeus VannameiWhite spot Disease (WSSV)Production DynamicsA dynamic stock model was used to predict biomass of shrimp Litopenaeus vannamei when affected by white spot disease. A database prepared from records of intensive commercial farms in Mexico was used for estimating model parameters for summer and winter production cycles. Parameters were analyzed in relation to stocking density, pond size, and mean values of water quality variables measured during the cycles. Significant results from correlation analysis indicated that final weight of shrimp was positively correlated with mean pond water temperature and dissolved oxygen, but inversely correlated with salinity. When temperature and oxygen increased or salinity decreased, mortality from the disease diminished. Early mortality occurred when water temperature increased, oxygen decreased, or large ponds were used. Stocking density did not affect production parameters. Simple linear regression showed that differences in management of aeration affected oxygen levels. Oxygen concentration and aeration were important factors determining the magnitude of mortality from disease and the time when it occurred. Diminished mortality occurred later in the culture period with higher aeration or early start of aeration. Multiple regression analysis was used to predict model parameters as a function of water quality and management variables. Simple regression analysis and an equivalence test indicated that biomass at harvest was adequately predicted by the stock model and multiple regression coefficients. Predicting shrimp production indicated that raising aeration from 9000 to 14000 horsepower per hour per hectare (Hp h ha−1) increased biomass at harvest from 6610 to 8750 kg ha−1 (32%). On the other hand, starting aeration at the beginning of the culture cycle resulted in 8360 kg ha− 1, while starting after 5 weeks yielded 6840 kg ha−1 representing a reduction of 18%. Management of aeration in small ponds is recommended as an approach to reducing mortality from white spot disease.Instituto Politécnico Nacional (IPN). Centro Interdisciplinario de Ciencias MarinasCiencias MarinasPDFAquaculture2013-02-23T00:49:28Z2013-02-23T00:49:28Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article0044-8486http://www.repositoriodigital.ipn.mx/handle/123456789/13709reponame:Repositorio Digital del IPNinstname:Instituto Politécnico Nacionalinstacron:IPNeninfo:eu-repo/semantics/openAccessoai:www.repositoriodigital.ipn.mx:123456789/137092026-02-18T16:43:03Z
dc.title.none.fl_str_mv Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
title Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
spellingShingle Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
Ruíz-Velazco Arce, Javier Marcial J.
Litopenaeus Vannamei
White spot Disease (WSSV)
Production Dynamics
title_short Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
title_full Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
title_fullStr Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
title_full_unstemmed Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
title_sort Dynamics of Intensive Production of Shrimp Litopenaeus Vannamei Affected by white Spot Disease
dc.creator.none.fl_str_mv Ruíz-Velazco Arce, Javier Marcial J.
Hernández Llamas, Alfredo
Gómez Muñoz, Víctor Manuel
Magallón, Francisco. J.
author Ruíz-Velazco Arce, Javier Marcial J.
author_facet Ruíz-Velazco Arce, Javier Marcial J.
Hernández Llamas, Alfredo
Gómez Muñoz, Víctor Manuel
Magallón, Francisco. J.
author_role author
author2 Hernández Llamas, Alfredo
Gómez Muñoz, Víctor Manuel
Magallón, Francisco. J.
author2_role author
author
author
dc.subject.none.fl_str_mv Litopenaeus Vannamei
White spot Disease (WSSV)
Production Dynamics
topic Litopenaeus Vannamei
White spot Disease (WSSV)
Production Dynamics
description A dynamic stock model was used to predict biomass of shrimp Litopenaeus vannamei when affected by white spot disease. A database prepared from records of intensive commercial farms in Mexico was used for estimating model parameters for summer and winter production cycles. Parameters were analyzed in relation to stocking density, pond size, and mean values of water quality variables measured during the cycles. Significant results from correlation analysis indicated that final weight of shrimp was positively correlated with mean pond water temperature and dissolved oxygen, but inversely correlated with salinity. When temperature and oxygen increased or salinity decreased, mortality from the disease diminished. Early mortality occurred when water temperature increased, oxygen decreased, or large ponds were used. Stocking density did not affect production parameters. Simple linear regression showed that differences in management of aeration affected oxygen levels. Oxygen concentration and aeration were important factors determining the magnitude of mortality from disease and the time when it occurred. Diminished mortality occurred later in the culture period with higher aeration or early start of aeration. Multiple regression analysis was used to predict model parameters as a function of water quality and management variables. Simple regression analysis and an equivalence test indicated that biomass at harvest was adequately predicted by the stock model and multiple regression coefficients. Predicting shrimp production indicated that raising aeration from 9000 to 14000 horsepower per hour per hectare (Hp h ha−1) increased biomass at harvest from 6610 to 8750 kg ha−1 (32%). On the other hand, starting aeration at the beginning of the culture cycle resulted in 8360 kg ha− 1, while starting after 5 weeks yielded 6840 kg ha−1 representing a reduction of 18%. Management of aeration in small ponds is recommended as an approach to reducing mortality from white spot disease.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2013-02-23T00:49:28Z
2013-02-23T00:49:28Z
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 0044-8486
http://www.repositoriodigital.ipn.mx/handle/123456789/13709
identifier_str_mv 0044-8486
url http://www.repositoriodigital.ipn.mx/handle/123456789/13709
dc.language.none.fl_str_mv en
language_invalid_str_mv en
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Aquaculture
publisher.none.fl_str_mv Aquaculture
dc.source.none.fl_str_mv reponame:Repositorio Digital del IPN
instname:Instituto Politécnico Nacional
instacron:IPN
instname_str Instituto Politécnico Nacional
instacron_str IPN
institution IPN
reponame_str Repositorio Digital del IPN
collection Repositorio Digital del IPN
repository.name.fl_str_mv
repository.mail.fl_str_mv
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