A Dynamic Simulation Model for Growth of Penaeid shrimps

Bio-energetic dynamic penaeid shrimp growth model was developed from an existingmodel on tilapia growth. The model was divided into 6 sub modules: (1) Moulting; (2) Feedconsumption; (3) Digestion and biosynthesis; (4) Energy metabolism; (5) Oxidation; and(6) Growth; and was parameterized based on th...

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Autores principales: Mishra, A. K., Verdegem, M., van Dam, A.
Formato: Artículo
Lenguaje:inglés
Publicado: Facultad de Ciencias Biologicas 2019
Acceso en línea:https://nutricionacuicola.uanl.mx/index.php/acu/article/view/250
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author Mishra, A. K.
Verdegem, M.
van Dam, A.
author_facet Mishra, A. K.
Verdegem, M.
van Dam, A.
author_sort Mishra, A. K.
collection Artículos de Revistas UANL
description Bio-energetic dynamic penaeid shrimp growth model was developed from an existingmodel on tilapia growth. The model was divided into 6 sub modules: (1) Moulting; (2) Feedconsumption; (3) Digestion and biosynthesis; (4) Energy metabolism; (5) Oxidation; and(6) Growth; and was parameterized based on the literature. The model was calibrated andvalidated with an independent data set.For calibration, the best agreement between observed and simulated value for growth wasachieved when it was assumed that 14% of dietary amino acids was converted to glucoseand ratio of fat: protein for energy generation was 0.819. Calculated regression equationand R2 were Y = 0.868X + 1.384 and 0.71, respectively, where Y is simulated and X is theobserved final shrimp weight. The Average Relative Error (ARE) was 5.64%. Forvalidation comparing experimental and simulated final shrimp weight, we found Y =1.091X + 0.116, R2 = 0.97 with an ARE of 10.22%.The model can predict general patterns of shrimp growth. The explanatory character of themodel allowed prediction of growth under a wide range of conditions. Effect of feednutritional quality, feeding rate, body composition, and temperature and moulting onshrimp can be predicted well by the model, which will provide insight of interactionsamong the growth and growth parameters of shrimp.
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spelling nutrucionacuicola-article-2502019-11-11T23:44:18Z A Dynamic Simulation Model for Growth of Penaeid shrimps A Dynamic Simulation Model for Growth of Penaeid shrimps Mishra, A. K. Verdegem, M. van Dam, A. Bio-energetic dynamic penaeid shrimp growth model was developed from an existingmodel on tilapia growth. The model was divided into 6 sub modules: (1) Moulting; (2) Feedconsumption; (3) Digestion and biosynthesis; (4) Energy metabolism; (5) Oxidation; and(6) Growth; and was parameterized based on the literature. The model was calibrated andvalidated with an independent data set.For calibration, the best agreement between observed and simulated value for growth wasachieved when it was assumed that 14% of dietary amino acids was converted to glucoseand ratio of fat: protein for energy generation was 0.819. Calculated regression equationand R2 were Y = 0.868X + 1.384 and 0.71, respectively, where Y is simulated and X is theobserved final shrimp weight. The Average Relative Error (ARE) was 5.64%. Forvalidation comparing experimental and simulated final shrimp weight, we found Y =1.091X + 0.116, R2 = 0.97 with an ARE of 10.22%.The model can predict general patterns of shrimp growth. The explanatory character of themodel allowed prediction of growth under a wide range of conditions. Effect of feednutritional quality, feeding rate, body composition, and temperature and moulting onshrimp can be predicted well by the model, which will provide insight of interactionsamong the growth and growth parameters of shrimp. Bio-energetic dynamic penaeid shrimp growth model was developed from an existingmodel on tilapia growth. The model was divided into 6 sub modules: (1) Moulting; (2) Feedconsumption; (3) Digestion and biosynthesis; (4) Energy metabolism; (5) Oxidation; and(6) Growth; and was parameterized based on the literature. The model was calibrated andvalidated with an independent data set.For calibration, the best agreement between observed and simulated value for growth wasachieved when it was assumed that 14% of dietary amino acids was converted to glucoseand ratio of fat: protein for energy generation was 0.819. Calculated regression equationand R2 were Y = 0.868X + 1.384 and 0.71, respectively, where Y is simulated and X is theobserved final shrimp weight. The Average Relative Error (ARE) was 5.64%. Forvalidation comparing experimental and simulated final shrimp weight, we found Y =1.091X + 0.116, R2 = 0.97 with an ARE of 10.22%.The model can predict general patterns of shrimp growth. The explanatory character of themodel allowed prediction of growth under a wide range of conditions. Effect of feednutritional quality, feeding rate, body composition, and temperature and moulting onshrimp can be predicted well by the model, which will provide insight of interactionsamong the growth and growth parameters of shrimp. Facultad de Ciencias Biologicas 2019-11-08 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo revisado por pares application/pdf https://nutricionacuicola.uanl.mx/index.php/acu/article/view/250 Avances en Nutrición Acuicola; 2002: Memorias del Sexto Simposium Internacional de Nutrición Acuícola eng https://nutricionacuicola.uanl.mx/index.php/acu/article/view/250/248 Derechos de autor 2019 A. K. Mishra, M. Verdegem, A. van Dam
spellingShingle Mishra, A. K.
Verdegem, M.
van Dam, A.
A Dynamic Simulation Model for Growth of Penaeid shrimps
thumbnail https://rediab.uanl.mx/themes/sandal5/images/article.gif
title A Dynamic Simulation Model for Growth of Penaeid shrimps
title_alt A Dynamic Simulation Model for Growth of Penaeid shrimps
title_full A Dynamic Simulation Model for Growth of Penaeid shrimps
title_fullStr A Dynamic Simulation Model for Growth of Penaeid shrimps
title_full_unstemmed A Dynamic Simulation Model for Growth of Penaeid shrimps
title_short A Dynamic Simulation Model for Growth of Penaeid shrimps
title_sort dynamic simulation model for growth of penaeid shrimps
url https://nutricionacuicola.uanl.mx/index.php/acu/article/view/250
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