STUDIES ON THE MILK YIELD AND COMPOSITION OF LACTATING RED SOKOTO DOES FED GINGER (Zingiber officinale) AS FEED ADDITIVE
DOI:
https://doi.org/10.33003/fjs-2023-0702-1725Keywords:
Red Sokoto does, ginger, milk yield, compositionAbstract
A study was conducted to evaluate the effect of inclusion levels of ginger on milk yield and composition of Red Sokoto does. A total of twenty-eight (28) Red Sokoto does (RSD) weighing on the average 16.29 kg were used. The animals were randomly assigned to four diets, containing 0, 250, 500 and 750g/100kg diet levels of ginger respectively in a completely randomized design. Each of the animals were fed concentrate at 1.5% of body weight. Milk yield and composition were recorded. Udder and teats of each doe were washed with cotton wool soaked in disinfectant (Methylated spirit) and then they were hand-milked into sterilized containers and measured using calibrated cylinder. Milk samples were analyzed for total solids, fat and protein using infrared spectrophotometry. Ash content was determined after heating in a muffle furnace for 3 hours and the solids not fat content was calculated by difference. Results obtained showed that higher total milk yield of 360 liters was recorded in RSD fed diet containing 250 g ginger. All milk composition parameters (total solid, ash, fat, solid not fat and crude protein), were significantly affected (P<0.05) by ginger inclusion. Fat and crude protein contents were significantly affected (P<0.05) by lactation stages with their higher values (P<0.05) recorded in mid lactation stage (4.35% and 3.61%) respectively. Ash content recorded significantly higher value (P<0.05) in early lactation stage (1.05%). Ginger inclusion levels in the diets of RSD improved milk yield and milk composition.
References
Bucci, G., Sandrucci, V. and Vicario, E. (2011). Ontologies and Bayesian Networks in Medical Diagnosis: Proceedings of the 44th Hawaiian Conference on System Sciences, (Edited by Sprague, R.H. (Jr)). IEEE Computer Society Press, pp. 1-8
Catwell, L., & Sheikh, A. (2009). Evaluating eHealth interventions: the need for continuous systemic evaluation. PLoS medicine, 6(8), e1000126.
Chandrasekaran, B., Josephson, J. R., &Benjamins, V. R. (1999). What are ontologies, and why do we need them?.IEEE Intelligent Systems and their applications, 14(1), 20-26.
Chang, Y., Fan, C., Lo, W., Hung, W. and Yuan,. S. (2014): Mobile Cloud-Based Depression Diagnosis using an Ontology and a Bayesian Network, Future Generations Computer Systems, Vol 32, pp. 87-98
Dandona, P. and Rosenberg, M. T. (2010). A Practical Guide to Male Hypogonadism in the Primary Care Setting, The International Journal of Clinical Practice, Vol 64, pp. 682-696
Garets, D., & Davis, M. (2006). Electronic medical records vs. electronic health records: yes, there is a difference. HIMSS Analytics, 2-14.
Manouselis, N., Sicilia, M. A., and Rodríguez, D. (2010). Exploring ontology metrics in the biomedical domain. Procedia Computer Science, 1(1), 2319-2328.
Marieb, E. N. (1992). Human Anatomy and Physiology: Benjamin/Cummings Publishing Company, pp. 548-549
Musen, M. A. (2015). The Protégé project: A look back and a look forward. AI matters, 1(4), 4-12
Oh, H., Rizo, C., Enkin, M. and Jadad, A. (2005). What IseHealth (3): A Systematic Review of Published Definitions, Journal of Medical Internet Research, Vol 7:1
Paganelli, F. and Giuli, D. (2013). An Ontology Based System for Context-Aware and Configurable Services to Support Home Based Continuous Care, IEEE Transactions on Information Technology in Biomedicine,Vol 15, pp. 324-333
Rawte, V., & Roy, B. (2015, June). Thyroid Disease Diagnosis using Ontology based Expert System. In International Journal of Engineering Research and Technology (Vol. 4, No. 06, June-2015). IJERT
Silber, D. (2003). The case for eHealth. Maastricht, The Netherlands: European Institute of Public Administration.
Smith, P. (2005, April). A Comprehensive Look at Hormones and the Effects of Hormone Replacement. In 14th Annual International Congress on Anti-Aging Medicine, Orlando, Fla. Retrieved June (Vol. 5, p. 2015)
Woo, Y. S., Bahk, W. M., Hong, J., Yoon, B. H., Hwang, T. Y., Kim, M. D., and Jon, D. I. (2016). Use of a Smartphone Application to Screen for Bipolar Spectrum Disorder in a Community Sample. Health informatics journal, Vol. 22, pp. 779-788
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