Browsing by Author "Omondi R."

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    Fatty Acids Composition of Nile Tilapia (Oreochromis Niloticus) Fingerlings Fed Diets Containing Different Levels of Water Spinach (Ipomoea Aquatica)
    (Journal of Agriculture and Food Research, 2021) Chepkirui M.; Orina P. S.; Opiyo M.; Muendo P.; Mbogo K.; Omondi R.
    Fish is a major source of n-3 LC-PUFA for humans. Fatty acids especially n-3 and n-6 polyunsaturated fatty acids (PUFAs) play important role in human health. This study was conducted to evaluate the effects of different inclusion levels of Ipomoea aquatica on fatty acids composition of Oreochromis niloticus fingerlings. Five diets containing 0%, 5%, 10%, 15% and 20% Ipomoea aquatica were formulated. The results indicated that 18 types of fatty acids with different saturation levels were detected. Total saturates, n-3 PUFAs, n-6 PUFAs in all the tissues were not significantly affected by the different levels of I. aquatica. Fish fed 10% diet recorded the highest level of muscle docosahexaenoic acid (DHA). The tissue composition of docosahexaenoic acid (DHA) was significantly higher than eicosapentaenoic acid (EPA). There was an increase in PUFAs with increased levels of I. aquatica. There was no significant difference (P > 0.05) in fatty acids in all the tissues. The study suggests that 20% dietary inclusion of I. aquatica resulted into high DHA in all tissues thus I. aquatica can be used to increase fatty acid.
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    Recent Limnological Changes and Their Implication on Fisheries in Lake Baringo, Kenya.
    (Academic Journals, 2014) Omondi R.; Kembenya E.; Nyamweya C.; Ouma H.; Machua S. K.; Ogari Z.
    Water samples for physico-chemical analysis for this study were collected monthly for five years between April 2008 and March 2013. Conductivity, temperature, dissolved oxygen and pH was measured in situ using a Surveyor II model hydrolab. Chlorophyll-a concentration was determined using a Genesys 10S Vis spectrophotomer. Nutrients were determined using standard methods and procedures. Analysis of Variance (ANOVA) was used to determine spatial and temporal variation in physico-chemical and biological factors. Principal component analysis (PCA) was performed to establish the correlation of the physico-chemical and biological parameters among sampling stations and to group stations with similar physico-chemical parameters. Both spatial and temporal significant variations (P<0.05) were detected in the concentrations of the nutrients measured during the study.