Applying the Polynomial Model in Simplex

Authors

  • Robert Muriungi Gitunga Meru University of science and Technology Department of Mathematics. P.O. box 972-Meru 60200 Kenya Moi university Department of Statistics and Computer Science. P.O. Box 3900-Eldoret .Kenya
  • Joseph Koske K. Moi university Department of Statistics and Computer Science. P.O. Box 3900-Eldoret .Kenya
  • Johnstonne Mutiso M. Moi university Department of Statistics and Computer Science. P.O. Box 3900-Eldoret .Kenya

Keywords:

Simplex-centroid, Polynomial, Design.

Abstract

The component proportions of dairy feeds using simplex- centroid design approach was considered. Soya beans, maize jam, cotton seed and fish meal were blended at each design point of the Simplex-Centroid and the responses in terms of dairy animal productivity was considered. The main objective of the study was to test a simplex- centroid design and search for optimal mixture of feed ingredients to the outcome on milk productivity of dairy animals using a polynomial model. Research therefore seek to derive a polynomial model for the four components simplex- centroid design. Using the collected data, fit the derived model and determine the coefficient at each design point and test for their significance using R-software. The result proved that the feed supplement had a significance effect on the milk productivity. However ANOVA was run to improve the precision of the model by taking into account the constant term. This proved that also other feeding practices were significantly important in the productivity. The result showed that the blend of soya beans and Fish meal supplement has significance contribution at 0.05. The concentrate of soya beans, cotton seed and fish meal supplement shows significance contribution at 0.05. Again at the centroid point where all the four ingredient are blended was significance at 0.05.

References

D.F.Dunham. (1989). Food cost review. US Department of Agriculture, Economic Research service.http://www.nal.usda.gov/

R.Jera, & O. Ajay. (2008) Logistic modeling of small holder livestock farmer

J. Wegner, & T. Stanton. (2006). Formulating ratios with Pearson square. http/www.ext.colostate edu. Pubs/livestock/01618.html

R. Rossi. (2004). Least cost formulation software: An introduction section: feature articles, Aqua feeds: formulation and beyond 3:3-5.

A.I.Castro,R.S.F. Silva, J. Tirapegui, D. Borsato, & E.Bona. (2003). Simultaneous optimization of the response variables in protein mixture formulation: Constrained Simplex method approach. International journal of Food Science and Technology, 38, 2547pp 103-110.

G.W. Dean, D.L. Bath, & S. Olayada, (1969). Computer program for maximizing income above feed cost from dairy cattle. American science association journal

S. Chakeredza, F.K. Akinnifesi, C.O. Ajayi, G. Sileshi, S. Mngomba, & F.Gondwe. (2008), A simple method of formulating least-cost diets for smallholder dairy production in Sub-Saharan Africa. African journal of Biotechnology Vol 7 (16), pp2925-2933

D. Mahmut, S.T. Omer, A. Tugba, & G. Meryem,. (2013) Optimization of Gum Combination in Prebiotic Instant Hot Chocolate Beverage Model System in terms of Rheological Aspect: Mixture Design Approach. Journal of Food and Bioprocess Technology Vol 6 pp 783-794

M.R. Ashiwini, M.R. Bahalekar, R.R., Padalkah, & M.S. Shaikh, (2013) Optimization of Carboxymethyl-Xyloglucan-Based Tramadol Matrix Tablets Using Simplex Centroid Mixture Design. Journal of pharmaceutics vol 2013.

L.C. Okpala, & E.C. Okoli. (2013) Optimization of Composite Biscuits Flour by Mixture Response Surface Methodology. Food Science and Technology International 19(4).

P.S. Wang, & J.J. Fang. (2010). The Optimization of Medicine Formulation Using Mixture Experiments. Proceedings of the International Multi-Conference of Engineers and computer Scientists, Vol. III, Hong Kong.

D.W. Gaylor & H.C.Sweeny. (1965). Design for Optimal Prediction in Simple Linear Regression. Journal of the American Statistical Association. Vol 60, 1965 no. 309 pp205-216.

A. Webster. (1993). Understanding the dairy Cow. 2nd edition Blackwell scientific publication pp. 374

R.H.Myres, D.C.Montgomery. & C.M.Anderson. (2009), Response Surface Methodology, Wiley and sons, Hoboken New Jersey

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Published

2017-01-09

How to Cite

Gitunga, R. M., Koske K., J., & Mutiso M., J. (2017). Applying the Polynomial Model in Simplex . International Journal of Sciences: Basic and Applied Research (IJSBAR), 31(1), 101–117. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/6676

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