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Moses M. Muraya

Publications (4)

Characterization and Antibacterial Activity of Soil Actinomycetes from Diverse Land Use Systems in Meru South, Eastern Kenya

Judith M. Gitari, Moses M. Muraya, Benson O. Onyango & John M. Maingi · Journal of Advances in Microbiology · 2023

Aim: The increasing emergence and global spread of antibiotic-resistance by microorganisms pose a severe public health threat. Continuous exploration of different environments is required to find new sources of antibacterial compounds. Therefore, the study isolated, characterized...

Open access Research Article 10.9734/jamb/2023/v23i10760

The Influence of Soil’s Physicochemical Properties and Land Use Systems on the Abundance of Actinomycetes Populations

Judith M. Gitari, Moses M. Muraya, Benson O. Onyango & John M. Maingi · South Asian Journal of Research in Microbiology · 2023

Aims: In this study, we assessed the effect of physicochemical properties of soils from different land use systems on the population of Actinomycetes. Study Design: A cross sectional survey design in line transect sampling was used in collection of samples from land use systems....

Open access Research Article 10.9734/sajrm/2023/v16i2304

Pathogenicity of Alternaria Species Causing Tomato Blight in Agro-Ecological Zones of Kirinyaga County in Kenya

Fredrick O. Ogolla, Moses M. Muraya & Benson O. Onyango · Asian Journal of Advances in Agricultural Research · 2023

Tomato (Lycopersicon esculentum Mill) is a highly consumed and produced vegetable crop with an annual global production of over 185 million tonnes. High consumption and production are due to its nutritional and health benefits. However, tomato production is characterized by incon...

Open access Research Article 10.9734/ajaar/2023/v22i1430

Analysis of Individual Loan Defaults Using Logit under Supervised Machine Learning Approach

Dominic M. Obare, Gladys G. Njoroge & Moses M. Muraya · Asian Journal of Probability and Statistics · 2019

Financial institutions have a large amount of data on their borrowers, which can be used to predict the probability of borrowers defaulting their loan or not. Some of the models that have been used to predict individual loan defaults include linear discriminant analysis models an...

Open access Research Article 10.9734/ajpas/2019/v3i430100