Research Article
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A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias gariepinus From Feed Composition Data

Year 2021, Volume: 10 Issue: 2, 134 - 141, 05.06.2021
https://doi.org/10.33714/masteb.744882

Abstract

Aquaculture in developing countries faces a lot of challenges that are barely being addressed. With feed taking nearly 70% of the total production cost, it becomes imperative to develop means of optimizing how research is conducted into feed development. Feed conversion ratio as a measure of feed quality can be used to quantify in retrospect the appropriateness of feed fed to livestock, particularly, Clarias gariepinus. From the study, binary logistic regression can in simple terms, determine if prospective feed will perform below or above the acceptable level of 1.5, based on its composition and proximate analysis values. Data from similar experiments are normalized and split into train and testing data to fit a logistic regression model, three numerical optimizers were used including liblinear, Newton-CG, SAG and accuracy of the models were compared using the confusion matrix, and Jaccard similarity score. An accuracy value of 0.8 was observed in the model regardless of the numerical optimizer, this indicates the appropriateness of the model in predicting either high or low FCR for feed types. The probability of prediction showed disparity among liblinear and SAG/Newton-CG solvers. Liblinear solver showed close probabilities in predicting if values will be 1 or 0. While a similar prediction was made by all solvers, this indicates a possible affinity for error when the solver is used. This is also indicated with a logloss of 0.65 as compared to 0.51 in both SAG and Newton-CG solvers.

Supporting Institution

Ekiti State University

Project Number

-

Thanks

Dr. Familusi, E.B. IBM cognitive class team. Pilot Primary School, Mabudi, Langtang-South, Plateau State

References

  • Aniebo, A. O., Erondu, E. S. & Owen, O. J. (2009). Replacement of fish meal with maggot meal in African catfish (Clarias gariepinus) diets. Revista Cientifica UDO Agricola, 9(3): 666–671.
  • AOAC. (1990). Official Methods of Analysis, 13th edition. Association of Official Analytical Chemists.
  • Chor, W. -K., Lim, L. –S. & Shapawi, R. (2013). Evaluation of feather meal as a dietary protein source for African catfish fry, Clarias gariepinus. Journal of Fisheries and Aquatic Science, 8(6): 697–705. https://doi.org/10.3923/jfas.2013.697.705
  • Degani, G., Ben-Zvi, Y. & Levanon, D. (1989). The effect of different protein levels and temperatures on feed utilization, growth and body composition of Clarias gariepinus (Burchell 1822). Aquaculture, 76(3-4): 293-301. https://doi.org/10.1016/0044-8486(89)90082-3
  • Dudusola, A. & Akinlade, S. T. (2014). The use of maggot meal in African cat fish feeding. Advances in Aquaculture and Fisheries Management, 1(5): 49–51. https://doi.org/10.46882/AAFM/1008
  • Falaye, A. E., Omoike, A. & Adesina, S. B. (2015). Growth performance and nutrient utilization of catfish Clarias gariepinus fed varying inclusion level of fermented unsieved yellow maize. Continental Journal of Biological Sciences, 8(1): 14–23. https://doi.org/10.5707/cjbiolsci.2015.8.1.14.23
  • FAO. (2016). The State of World Fisheries and Aquaculture 2016. Contributing to Food Security and Nutrition for All.
  • Farahiyah, I. J., Zainal, A. A. R., Ahmad, A., Mardhati, M., Thayalini, K. & Yong, S. T. (2016). Evaluation of local feed ingredients based diets on growth performance of African catfish, Clarias gariepinus. Malaysian Journal of Animal Science, 19(2): 39–46.
  • Li, M. H., Robinson, E. H., Bosworth B. G. & Torrans, E. L. (2014) Growth and feed conversion ratio of pond-raised hybrid catfish harvested at different sizes, North American Journal of Aquaculture, 76(3): 261-264. https://doi.org/10.1080/15222055.2014.911225
  • NCSS. (2020). NCSS Statistical Software, Logistic Regression. NCSS, LLC. Kaysville, Utah, USA, https://ncss.com/software/ncss
  • Ng, W. –K., Teh, S. -W, Chowdhury, K. M. A. & Bureau, D. P. (2013). On-farm feeding and feed management in tilapia aquaculture in Malaysia. In M. R. Hasan & M. B. New, (Eds.), On-farm feeding and feed management in aquaculture. FAO Fisheries and Aquaculture Technical Paper No. 583. Rome, FAO. pp. 407–431
  • Oyekanmi, F., Omoniyi, I. & Akegbejo, S. (2013). Whole rocky fresh water prawns, Caridina africana as replacement for fish-meal in diets for African catfish (Clarias gariepinus). Proceedings of 28th Fisheries Society of Nigeria Annual Conference. pp. 366-370.
  • USAID-HARVEST. (2011). Feed Conversion Ratio [Technical Bulletin]. www.CambodiaHARVEST.org
Year 2021, Volume: 10 Issue: 2, 134 - 141, 05.06.2021
https://doi.org/10.33714/masteb.744882

Abstract

Project Number

-

References

  • Aniebo, A. O., Erondu, E. S. & Owen, O. J. (2009). Replacement of fish meal with maggot meal in African catfish (Clarias gariepinus) diets. Revista Cientifica UDO Agricola, 9(3): 666–671.
  • AOAC. (1990). Official Methods of Analysis, 13th edition. Association of Official Analytical Chemists.
  • Chor, W. -K., Lim, L. –S. & Shapawi, R. (2013). Evaluation of feather meal as a dietary protein source for African catfish fry, Clarias gariepinus. Journal of Fisheries and Aquatic Science, 8(6): 697–705. https://doi.org/10.3923/jfas.2013.697.705
  • Degani, G., Ben-Zvi, Y. & Levanon, D. (1989). The effect of different protein levels and temperatures on feed utilization, growth and body composition of Clarias gariepinus (Burchell 1822). Aquaculture, 76(3-4): 293-301. https://doi.org/10.1016/0044-8486(89)90082-3
  • Dudusola, A. & Akinlade, S. T. (2014). The use of maggot meal in African cat fish feeding. Advances in Aquaculture and Fisheries Management, 1(5): 49–51. https://doi.org/10.46882/AAFM/1008
  • Falaye, A. E., Omoike, A. & Adesina, S. B. (2015). Growth performance and nutrient utilization of catfish Clarias gariepinus fed varying inclusion level of fermented unsieved yellow maize. Continental Journal of Biological Sciences, 8(1): 14–23. https://doi.org/10.5707/cjbiolsci.2015.8.1.14.23
  • FAO. (2016). The State of World Fisheries and Aquaculture 2016. Contributing to Food Security and Nutrition for All.
  • Farahiyah, I. J., Zainal, A. A. R., Ahmad, A., Mardhati, M., Thayalini, K. & Yong, S. T. (2016). Evaluation of local feed ingredients based diets on growth performance of African catfish, Clarias gariepinus. Malaysian Journal of Animal Science, 19(2): 39–46.
  • Li, M. H., Robinson, E. H., Bosworth B. G. & Torrans, E. L. (2014) Growth and feed conversion ratio of pond-raised hybrid catfish harvested at different sizes, North American Journal of Aquaculture, 76(3): 261-264. https://doi.org/10.1080/15222055.2014.911225
  • NCSS. (2020). NCSS Statistical Software, Logistic Regression. NCSS, LLC. Kaysville, Utah, USA, https://ncss.com/software/ncss
  • Ng, W. –K., Teh, S. -W, Chowdhury, K. M. A. & Bureau, D. P. (2013). On-farm feeding and feed management in tilapia aquaculture in Malaysia. In M. R. Hasan & M. B. New, (Eds.), On-farm feeding and feed management in aquaculture. FAO Fisheries and Aquaculture Technical Paper No. 583. Rome, FAO. pp. 407–431
  • Oyekanmi, F., Omoniyi, I. & Akegbejo, S. (2013). Whole rocky fresh water prawns, Caridina africana as replacement for fish-meal in diets for African catfish (Clarias gariepinus). Proceedings of 28th Fisheries Society of Nigeria Annual Conference. pp. 366-370.
  • USAID-HARVEST. (2011). Feed Conversion Ratio [Technical Bulletin]. www.CambodiaHARVEST.org
There are 13 citations in total.

Details

Primary Language English
Subjects Fisheries Management
Journal Section Research Article
Authors

Familusi Oluwatosin Adekunle 0000-0002-7906-1169

Project Number -
Publication Date June 5, 2021
Submission Date May 29, 2020
Acceptance Date December 9, 2020
Published in Issue Year 2021 Volume: 10 Issue: 2

Cite

APA Oluwatosin Adekunle, F. (2021). A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias gariepinus From Feed Composition Data. Marine Science and Technology Bulletin, 10(2), 134-141. https://doi.org/10.33714/masteb.744882
AMA Oluwatosin Adekunle F. A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias gariepinus From Feed Composition Data. Mar. Sci. Tech. Bull. June 2021;10(2):134-141. doi:10.33714/masteb.744882
Chicago Oluwatosin Adekunle, Familusi. “A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias Gariepinus From Feed Composition Data”. Marine Science and Technology Bulletin 10, no. 2 (June 2021): 134-41. https://doi.org/10.33714/masteb.744882.
EndNote Oluwatosin Adekunle F (June 1, 2021) A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias gariepinus From Feed Composition Data. Marine Science and Technology Bulletin 10 2 134–141.
IEEE F. Oluwatosin Adekunle, “A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias gariepinus From Feed Composition Data”, Mar. Sci. Tech. Bull., vol. 10, no. 2, pp. 134–141, 2021, doi: 10.33714/masteb.744882.
ISNAD Oluwatosin Adekunle, Familusi. “A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias Gariepinus From Feed Composition Data”. Marine Science and Technology Bulletin 10/2 (June 2021), 134-141. https://doi.org/10.33714/masteb.744882.
JAMA Oluwatosin Adekunle F. A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias gariepinus From Feed Composition Data. Mar. Sci. Tech. Bull. 2021;10:134–141.
MLA Oluwatosin Adekunle, Familusi. “A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias Gariepinus From Feed Composition Data”. Marine Science and Technology Bulletin, vol. 10, no. 2, 2021, pp. 134-41, doi:10.33714/masteb.744882.
Vancouver Oluwatosin Adekunle F. A Binary Logistic Regression Model for Prediction of Feed Conversion Ratio of Clarias gariepinus From Feed Composition Data. Mar. Sci. Tech. Bull. 2021;10(2):134-41.

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