Moustafa M Metwally*

Agricultural Research Center, Animal Production Research Institute, Giza, Egypt

*Corresponding Author: Moustafa M Metwally, Agricultural Research Center, Animal Production Research Institute, Giza, Egypt.

Received: March 23, 2023; Published: June 13, 2023

Abstract

Most of the feed ingredients which are used in poultry feed are also used for human nutrition. So these major feed ingredients and cumulatively poultry feed are facing market competition with increased cost. This study proposed linear programming (LP) technique to minimize the feed cost for small scale poultry farms. It employs locally available feed ingredients to formulate the broiler starter and finisher feed mix. This research proposed linear programming (LP) technique to minimize the feed cost for small scale poultry entrepreneurs. It employs locally available feed ingredients to formulate broiler starter, grower and finisher feed mix. Costs of nine feed ingredients were obtained in the market at Assiut Governorate and in different areas of Egypt. The ten feed ingredients were selected to formulate the optimal feed mix to minimize the total cost of feed mix subject to the essential nutrient constraints. This study proposed linear programming (LP) technique to minimize the feed cost for small scale poultry farms. It employs locally available feed ingredients to formulate the broiler starter grower and finisher feed mix. The LiPS software were used to formulate and solve the Linear Programming model and optimal feed mix for broiler starter, grower and finisher were obtained. The result of this study shows that the proposed optimal formulation of the linear programming model gives about 8.33%, 10% and 13.53% reduction in feed formulation costs compared to the existing formulation in case of broiler starter, grower and finisher respectively on the farm.

Keywords: Linear Programming; Optimization Model; Broilers; Feeds and LiPs Software

References

1. Olugbenga SO., et al. “Optimized nutrients diet formulation of broiler poultry rations in Nigeria using linear programming”. Journal of Nutrition and Food Sciences S14 (2015): 1.
2. Ringo JE. “Poultry Sector: The United Republic of Tanzania”. A Quick Scan (2018).
3. Ravindran V. “Poultry feed availability and nutrition in developing countries”. FAO (2009).
4. “The State of Food and Agriculture”. Livestock in Balance (2009).
5. Mengesha M. “Climate change and the preference of rearing poultry for the demands of protein foods”. Asian Journal of Poultry Science4 (2011): 135-143.
6. Farrell D. “The role of poultry in human nutrition”. Poultry development review. Food and Agriculture Organization of the United Nations, Rome, ltaly (2010): 2.
7. “Poultry meat and Eggs. Agribusiness handbook. Director of Investment Centre Division. FAO. Rome. Italy (2010): 77.
8. Mallick P. “Broiler Poultry Feed Cost Optimization Using Linear Programming Technique”. Journal of Operations and Strategic Planning1 (2020): 31-57.
9. Mathias AO and Therence AT. “Maximizing profit in the poultry farming sector: An application of the robust linear programming technique”. African Journal of Mathematics and Computer Science Research6 (2018): 87-95.
10. Olugbenga OS and Abayomi OO. “Optimized Nutrients Diet Formulation of Broiler Poultry Rations in Nigeria Using Linear Programming”. Journal of Nutrition and Food Sciences 14 (2015): 2-7.
11. Mgeni MS and Ahmed OM. “Evaluation of Production Performance of The Broiler Chicken Industry in West District Zanzibar 3.11 (2019): 28-36.
12. Queenan K., et al. “An appraisal of the indigenous chicken market in Tanzania and Zambia. Are the markets ready for improved outputs from village production systems?” (2016).
13. NRC (National Research Council). Nutrient Requirements of Poultry. 9^th Edition. National Academy Press, Washington, DC (1994).
14. Vanderbei RJ. “Linear Programming: Chapter 2 The Simplex Method”. Operations Research (2007).
15. Bazaraa MS., et al. “Linear programming and networks flows. 4^th John Wiley and Sons. Incl USA (2010).
16. Prabu E., et al. “Effect of Dietary Supplementation of Biofloc Meal with Tryptophan on Growth and Survival of GIFT Tilapia”. International Journal of Current Microbiology and Applied Sciences 8 (2017): 3426-3434.
17. Nath T and Talukdar A. “Linear programming technique in fish feed formulation”. International Journal of Engineering Trends and Technology 3 (2014): 132-135.
18. Jacob T and Paulraj R. “Linear programming technique in fish feed formulation: Recent Advances in Finfish and shellfish Nutrition, Technical paper (1987): 1-10.
19. Winston WL. “Introduction to Mathematical Programming: Applications and Algorithms. 2^nd Belmont, Duxbury Press, CA (1995).
20. Adesida MA. “Least cost ration for broilers: a linear programming approach”. Ph.D. Thesis Ibadan Unversity, Ibadan (1979).
21. Kryger KN., et al. “Smallholder poultry production: Livelihoods, food security and socio-cultural significance Rome, Italy: FAO (2010).
22. Kelly M and Potter LM. “Protein requirements and value of added fat and antibiotics in diets of broiler chickens”. In Poultry Science5 (1971): 1590. England: Oxford University.
23. Enochian RV., et al. “Evaluating research improvements on livestock feeds through parametric linear programming”. Cereal ScienceToday (1971).
24. Al-Deseit B. “Least-cost broiler ration formulation using linear programming technique”. Journal of Animal and Veterinary Advances7 (2009): 1274-1278.
25. Oladokun VO and Johnson A. “Feed formulation problem in Nigerian poultry farms: A mathematical programming approach”. American Journal of Scientific and Industrial Research1 (2012): 14-20.
26. Waugh F. “The Minimum Cost Diary Feed”. Journal of Farm Economics 3 (1951): 299-310.
27. “Application of optimization techniques for crop planning to improve farm productivity of ICAR-RCER, Patna, India”. Journal of AgriSearch 4.1 (2017): 68-70.
28. Sofi NA., et al. “Decision Making in Agriculture: A Linear Programming Approach”. International Journal of Modern Mathematical Sciences 2 (2015): 160-169.
29. Wankhade MO and HS Lunge. “Allocation of Agricultural Land to The Major Crops of Saline Track by Linear Programming Approach: A Case Study”. International Journal of Scientific and Technology Research 9 (2012): 21-25.
30. Şahman MA., et al. “A new MILP model proposal in feed formulation and using a hybrid-linear binary PSO (H-LBP) approach for alternative solutions”. Neural Computing and Applications 2 (2018): 537-552.
31. Forrester RJ and M Rodriguez. “An Integer Programming Approach to Crop Rotation Planning at an Organic Farm”. UMAP Journal4 (2018): 5-25.
32. Prišenk J., et al. “Advantages of combining linear programming and weighted goal programming for agriculture application”. Operational Research 2 (2014): 253-260.

Citation

Citation: Moustafa M Metwally. “Broiler Chicken Feeds Cost Optimization using Linear Programming Technique under Egyptian Conditions".Acta Scientific Veterinary Sciences 5.7 (2023): 53-63.

Copyright

Copyright: © 2023 Moustafa M Metwally. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.