Determining in vivo fish body composition method by the use of non-invasive technique

• Grant number: 16/11016-3
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: September 01, 2016
• End date: January 31, 2018
• Field of knowledge: Agronomical Sciences - Fishery Resources and Fishery Engineering - Aquaculture
• Principal Investigator: João Batista Kochenborger Fernandes
• Grantee: Cleber Fernando Menegasso Mansano
• Host Institution: Centro de Aquicultura (CAUNESP). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated research grant: 13/25761-4 - Modeling production and nutritional requirements of poultry and fish, AP.TEM

Abstract

This study aims to standardize absorptiometry technique by dual-energy x-ray absorptiometry (DXA) and to apply it to model the main chemical constituents of fish during the development stages. The first study will be conducted to obtain the standard equation of the matching of the values estimated by DXA for pacu (Piaractus mesopotamicus) and tilapia (Oreochromis niloticus). The chemical composition will be determined by the DXA method while using the comparative slaughter (CS) technique. Through the relationship between the values obtained by both techniques will generate the (straight-line equation) and Y values to be estimated corresponding to the CS and the X axis predictors values obtained by DXA. This relationship will apply for each chemical component (water, protein, ash and fat). In the second study will be characterized in the growth body curve of the main chemical components in a suitable and not limiting environment for animals (fish). The experiments will be conducted at the Aquaculture Center of UNESP (during the course of the thematic project), where the fish will be monitored and scanned by DXA over 12 months. In the third study the results to be obtained will allow to define the genetic potential of each individual, the average population and its variability, and will enable the development of a spreadsheet in Excel Visual Basic language that determines the body composition in real time where the input variables are generated by the DXA data and output variables of the chemical components (protein, water, fat and ash). (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MANSANO, CLEBER F. M.; SILVA, EDNEY P.; KHAN, KIFAYAT U.; MACENTE, I, BEATRICE; NASCIMENTO, THIAGO M. T.; SAKOMURA, NILVA K.; FERNANDES, JOAO B. K.; TAKAHASHI, LEONARDO S.. Digestible protein requirements for maintenance, growth, and efficiency of protein utilization in pacu (Piaractus mesopotamicus) juveniles: an exponential nitrogen utilization model. Latin American Journal of Aquatic Research, v. 49, n. 4, p. 608-619, 2021. (13/25761-4, 16/11016-3)

DO NASCIMENTO, THIAGO M. T.; MANSANO, CLEBER F. M.; PERES, HELENA; RODRIGUES, FABIO H. F.; KHAN, KIFAYAT U.; ROMANELI, RAFAEL S.; SAKOMURA, NILVA K.; FERNANDES, JOAO B. K.. Determination of the optimum dietary essential amino acid profile for growing phase of Nile tilapia by deletion method. Aquaculture, v. 523, JUN 30 2020. (16/11016-3, 15/06093-6, 13/25761-4)

MANSANO, C. F. M.; MACENTE, B. I.; SILVA, P. DO E. S.; DA ROCHA, R. W.; ESCOBAR, A.; SAKOMURA, N. K.; KHAN, K. U.; FERNANDES, J. B. K.; DA SILVA, E. P.. An update on the cecectomy technique in roosters anesthetized with isoflurane used in subsequent amino acid digestibility experiments. POULTRY SCIENCE, v. 98, n. 9, p. 4042-4047, SEP 2019. (13/25761-4, 16/11016-3)