info@chuka.ac.ke | 020 231 0512/ 020 231 0518
info@chuka.ac.ke | 020 231 0512/ 020 231 0518

Dr. Moses Mahugu Muraya

Dr. Moses Mahugu Muraya

 Senior Lecturer

Email: moses.muraya@chuka.ac.ke

Faculty of Agriculture and Environmental Studies

Department of Plant Sciences

Biography

Teaching

Outputs

Research/PhD

FIELD OF SPECIALISATION
Genetics and Plant Breeding
WORK EXPERIENCE
Nov 2017 – to date: Director, Board of Postgraduate Studies, Chuka University, Kenya
Oct 2017 – to date: Senior Lecturer, Chuka University, Kenya
Sept 2014 – Sept 2017: Lecturer, Chuka University, Kenya
Aug 2014 – July 2015: Guest Scientist, Leibniz-Institute for Plant Genetics and Crop Plant Research (IPKGatersleben), German:
Sept 2013: Visiting Scholar, Plant Genomic Lab, Iowa State University, USA
Aug 2009 – July 2014: Postdoc/Research Scientist, IPK-Gatersleben, Germany
COMMUNITY SERVICE
Assisting needy students and pupils
Community Outreach Activities: improved agricultural technologies
EDUCATION
Post-Doc (Molecular Genetics and Bioinformatics), IPK-Gatersleben, Germany
Ph.D. in Genetics and Plant Breeding, University of Hohenheim, Germany
M.Sc. in Plant Breeding, Egerton University, Kenya
B.Sc. in Agriculture, University of Nairobi, Kenya

KEY RESEARCH PROJECTS
2015 – Date: Biochemical effects of Municipal solid waste, quantification, utilisation and energy generation prospects in Mt. Kenya region
2013 – Date: Genetic and biomarkers-based predictive breeding of maize cultivars
2013 – Date: Linking biomarkers and genetic markers to phenotypic variation (association genetics)
2009 – Date: Genome-wide copy number variation and presence absence variation discovery in maize inbred diversity panel using array comparative genomic hybridisation and sequence capture
2011-2015: Large-scale sequence polymorphism discovery in maize populations using sequence capture and targeted resequencing with next generation sequencing platforms (454 and Illumina)
2009-2015: High-throughput phenotyping and deep genotyping on a large maize inbred diversity panel using an automated non invasive phenotyping (LemnaTec scanalyzer 3D) system and maizeSNP50 arrays
RECENT SELECTED PUBLICATIONS
1. Kimtai LM, Muraya MM, Wagala A (2020) Application of Response Surface Methodology in Optimization of the Yields of Common Bean (Phaseolus vulgaris L.) Using Animal Manures. American Journal of Applied Mathematics and Statistics 8(2): 64-68
2. Mungiria J, Gitonga L, Muraya MM, Mwaniki J, Ngayo M (2020) Role of pharmacogenetics and clinical parameters on nevirapine plasma concentration among HIV-1 patients receiving Antiretroviral Therapy in Kenya. F1000Research, 9:363. 14 May 2020, https://doi.org/10.12688/f1000research.22654.1
3. Gatwiri, C. M., Muraya, M. M., & Gitonga, L. K. (2020). Prediction of the Effect of Demographic Characteristics on Parity Using Poisson Regression Model. Asian Journal of Probability and Statistics, 6(1), 55-63. https://doi.org/10.9734/ajpas/2020/v6i130154
4. Gachoki P., Mburu M, Muraya MM (2019) Predictive Modelling of Benign and Malignant Tumors Using Binary Logistic, Support Vector Machine and Extreme Gradient Boosting Models. American Journal of Applied Mathematics and Statistics, 7(6) 196-204
5. Filder TN, Muraya MM, Mutwiri RM (2019) Application of Seasonal Autoregressive Moving Average Models to Analysis and Forecasting of Time Series Monthly Rainfall Patterns in Embu County, Kenya. Asian Journal of probability and Statistics. 4(4): 1-15 Chuka University Academic Staff Database © 2020 Page 20 of 460
6. Obare DM, Muraya MM (2018) Comparison of Accuracy of Support Vector Machine Model and Logistic Regression Model in Predicting Individual Loan Defaults. American Journal of Applied Mathematics and Statistics. 6 (6): 266 -271.
7. Muraya MM, Chu J, Zhao Y, Junker A, Klukas C, Reif JC, Altmann T (2017) Genetic variation of growth dynamics in maize (Zea mays L.) revealed through automated non-invasive phenotyping. The Plant Journal: DOI: 10.1111/tpj.13390
8. Edlich-Muth C, Muraya MM, Altmann T, Selbig J, (2016) Phenomic prediction of maize hybrids. Biosystems. dx.doi.org/10.1016/j.biosystems.
9. Muraya MM, Schmutzer T, Ulpinnis C, Scholz U, Altmann T (2015) Targeted sequencing reveals largescale sequence polymorphism in maize candidate genes for biomass production and composition PLoS ONE 10(7): e0132120. Doi:10.1371/journal.pone.0132120
10. Junker A, Muraya MM, Weigelt-Fischer K, Arana-Ceballos F, Klukas C, Melchinger AE, Meyer RC, Riewe D, Altmann T (2015) Optimizing experimental procedures for quantitative evaluation of crop plant performance in high throughput phenotyping systems. Frontiers in Plant Sciences. 5(770):1-21. Doi: 10.3389/fpls.2014.00770
11. Castellini A, Edlich-Muth C, Muraya MM, Klukas C, Altmann T, Selbig J, (2015)•Towards a GraphTheoretic Approach to Hybrid Performance Prediction from Large-Scale Phenotypic Data. In Information Processing in Cells and Tissues (Eds: Michael Lones, Andy Tyrrell, Stephen Smith, Gary Fogel), pages 173–184; Springer, ISBN: 978-3-319-23108-2
12. Muraya MM. 2014. Sorghum Genetic Diversity. In: Genetics, Genomics and Breeding of Sorghum. Yi-H Wang, H. D. Upadhyaya, Chittaranjan Kole (Eds.). CRC Press Taylor and Francis, London) pg 114-140
13. Muraya MM, Geiger HH, Sagnard F, Toure L, Traore PCS, Togola S, de Villiers S, Parzies HK (2012) Adaptive values of wild × cultivated sorghum (Sorghum bicolor (L.) moench) hybrids in generations F1, F2, and F3. Genetic Resources and Crop Evolution. 59:83-93
14. Muraya MM, de Villiers S, Parzies HK, Mutegi E, Fagnard F, Kanyenji BM, Kiambi D, Geiger HH (2011) Genetic structure and diversity of wild sorghum populations (Sorghum spp.) from different ecogeographical regions of Kenya. Theoretical Applied Genetics. 123:571-583.
15. Muraya MM, Geiger HH, Sagnard F, de Villiers S, Kanyenji BM, H.K. Parzies HK (2011) Investigation of pollen competition between wild and cultivated sorghums (Sorghum bicolor (L.) Moench) using simple sequence repeats markers. Euphytica 178: 393-401

RESEARCH INTERESTS
Finding genes that affect phenotypic variation; characterising them and their functions; elucidating molecular, biochemical, physiological processes affected by these genes, and linking them to phenotypic variation
Breeding for increased yields, nutritive values, pest/insect resistance, water and nutrient use efficiency by incorporating molecular breeding, genetic engineering/biotechnology and traditional breeding techniques
Environmental assessment, waste characterisation, microbial pollutants degraders characterisation and development of microbe-based de-pollution techniques

POSTGRADUATE SUPERVISION
1.Bioprospecting of Actinomycetes for Production of Bioactive Compunds with Antibacterial Properties from Various Soils in Tharaka Nithi County, Kenya
2 Patterns and Causes of Suboptimal Response to Non-Nucleoside Reverse Transcriptase Inhibitor Based Therapy in Patients Receiving Antiretroviral Therapy in Selected Counties in Kenya
3 Effect of integrating naphthalene acetic acid, staking and mineral nutrient on growth, yield and seed quality of climbing beans (Phaseolus vulgaris L.)
4 Determinants of Adoption of Eco-Friendly Farming Practices in Agroecosystems of Embu, Kenya
5.Characterisation of Sorghum Leaf Blight (Exserohilum turcicum (Pass.) Leo´. and Suggs) and Chuka University Academic Staff Database © 2020 Page 21 of 460 the Influence of Temperature on its Pathogenicity in Tharaka Nithi County, Kenya
6 A comparative Analysis of prediction of Loan Defaults Using Support Vector Machine and Logistic Regression Models
7.Application of Response Surface Methodology and Regression Modelling of the Effect of Demographic Characteristics on Parity
8.Predicting Airline Delays and Associating Variables to the Predicted Delays in Kenya
9.Application of Response Surface Methodology for Optimisation of the Yields of Common Bean (Phaseolus vulgaris L.) using animal manure
10 Modelling and application of response surface methodology for optimisation of weight gain of grower chickens served with pumpkin (Cucurbita pepo L.) seeds .
11 Effect of Goat Manure based Vermicompost on Soil Chemical Properties, Growth and Yield of Garlic (Allium sativum L.) in Chuka, Kenya.
12 Effects of Agricultural Land Use Practices on Soil Organic Carbon Stocks in Smallholders Farms in Embu County, Kenya
13 Application of central composite design in modelling and optimisation of yields and yield components of sweet potatoes (Ipomea batatas L. Lam) using organic manure and phosphate fertilizer
14.Modelling the Effects of Mindfulness Based Stress on Breast Cancer Survival Rate among Women in Meru and Nyeri Countries, Kenya, Using Cox Proportional Hazard Model
15 Empirical Statistical Modelling of Rainfall Prediction in Embu County, Kenya
16 Diversity, Heavy Metal Concentration, and Phytoremediation Potential of Wild Plants Species Naturally Growing on Kang’oki Dumpsite, Thika Municipality, Kenya
17 Effect of Rate and Time of Phosphorus Application, and Plant Density on Growth and Yield of Groundnut (Arachis hypogaea)
18 Effect of Livestock Manure on Growth, Yield and Quality of Okra (Abelmoschus esculentus L. Moench.)
19 Effect of Poultry Manure, NPK Fertilizer and Pinching on Growth, Yield and Post-harvest Quality of Butternut (Cucurbita moschata)
20 Growth, Yield and Postharvest Qualities of Tomato (Lycopersicon esculentum M.) as Influenced by Earthing up and Pruning System

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