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A Linear Programming Model in Prawn Feed Formulation
and Its Effectiveness for Macrobrachium Rosenbergi in Malaysia
Tan Jia Theng
Supervisor: Dr. Nur Aidya Hanum Binti Aizam
Bachelor of Science (Computational Mathematics)
School of Informatics and Applied Mathematics
The giant freshwater prawn, Macrobrachium rosenbergii is becoming an increasingly
important species and considered to have the potential to increase the income among
impoverished farmers in Malaysia. However, high cost of feed has been an important
barrier to a forward expansion of its cultivation. Disease has also been considered as one
of the important constraints in limiting the production of the prawn worldwide. This
project innovated a formulation of a reduced-cost prawn feed that complies with the
nutrient requirement of the prawn through a mathematical model using linear
programming. The formulation consists of common ingredients used in feed production
as well as incorporation of plant wastes which could be a protein substitute and helped
further decreasing the cost of feed, but also has the potential to increase survival rate.
This formulation has the potential to be commercialized which will thereafter solve many
problems related to farming of giant freshwater prawn.
1008 | UMT UNDERGRADUATE RESEARCH DAY 2018