Year: 2024
Type: article
Abstract: The aim of this study was to determine the optimal conditions for the preservation of Callinectes amnicola from the Sud-Comoe region after capture in the live state, with a view to extending their lifespan outside their natural habitat, and making good-quality Callinectes amnicola available to help alleviate the shortage of animal protein in the Assinie mafia region, Cote dIvoire. To this end, a fractional factorial design was set up and enabled eight (08) experiments observed over ten (10) days to be carried out. The study variables are : X1 (Number of species), X2 (Volume of water), X3 (Number of leaves), X4 (Quantity of sand) and Y (Mortality rate). The analysis of the optimization results of the first-stage model was performed by the Excel solver based on the GRG algorithm. The results obtained indicate the values of X1 (82.58 or 83 species), X2 (0.479 L), X3(93.78 or 94 leaves) and X4 (3.798 Kg) of sea sand for a life span increasing from three (03) to nine (09) days.
Authors: Laboratoire de Biotechnologie, Agriculture et Valorisation des Ressources Biologiques (LBAVRB), UFHB, UFR Biosciences, 22 BP 582 Abidjan 22., Nguessan Verdier Abouo, Laboratoire des Procedes Industriels de Synthese de lEnvironnement et des Energies Nouvelles (LAPISEN), INPHB, DFR GCAA, BP 1093 Yamoussoukro., Pierre Martial Thierry Akely, Ecole Normale Superieure, 08 BP 10 Abidjan 08., Vincent Kadjo, Dominique Compaore, Laboratoire de Biotechnologie, Agriculture et Valorisation des Ressources Biologiques (LBAVRB), UFHB, UFR Biosciences, 22 BP 582 Abidjan 22., Godi Maruis Biego, Laboratoire de Biotechnologie, Agriculture et Valorisation des Ressources Biologiques (LBAVRB), UFHB, UFR Biosciences, 22 BP 582 Abidjan 22., Nogbou Emmanuel Assidjo, Laboratoire des Procedes Industriels de Synthese de lEnvironnement et des Energies Nouvelles (LAPISEN), INPHB, DFR GCAA, BP 1093 Yamoussoukro.
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4403704561