Musembei, LM, Bett RC, Gachuiri CK, Mbondo BK, Kibegwa FM.  2021.  Effects of freezing as a post-harvest storage technique on quality of Friesian crossbred cattle milk. African Journal of Food Science. 15(7):298-303.
Ngetich, D, Bett R, Charles Gachuiri, Kibegwa F.  2021.  Factors influencing Euryarchaeal gut methanogens distribution in dairy cattle in smallholding farms . East African Journal of Science, Technology and Innovation. 2(4)


Kibegwa, FM, Bett RC, GACHUIRI CHARLESK, Francesca Stomeo, Mujibi FD.  2020.  A Comparison of Two DNA Metagenomic Bioinformatic Pipelines While Evaluating the Microbial Diversity in Feces of Tanzanian Small Holder Dairy Cattle. BioMed Research International. 2020


Thuo, DN, Kamau JM, Kariuki MW, Kibegwa FM, Kimiti KS, Amimo JO, Githui EK.  2019.  Genetic assessment of a breeding population of black rhinoceros in Kenya using mitochondrial DNA D-loop sequencing. Genetics and Molecular Research. 18(2):1-11.


Habimana, V, Bett RC, Amimo JO, Kibegwa FM, Githae D, Jungâ JO.  2018.  Metagenomic analysis of enteric bacterial pathogens affecting the performance of dairy cows in smallholder productions systems. African Journal of Microbiology Research. 12(17):387-398.


Gikonyo, J, Kibegwa F, Inyangala B.  2017.  Comparative assessment of hatching rates of African Catfish (Clarias gariepinus) eggs using Nile cabbage and kaka bans substrates. Livestock Research for Rural Development. 29, Number 9 Abstract
Nyunja, C, Maina J, Amimo J, Kibegwa F, Harper D, Junga J.  2017.  {Stock Structure Delineation of the African Catfish (Clarius gariepinus) in Selected Populations in Kenya Using Mitochondrial DNA (Dloop) Variability}, jun. Journal of Aquaculture Research {&} Development. 08, Number 05: OMICS International AbstractWebsite

This study genetically characterized five populations of the African catfish (Clarius gariepinus) in Kenya. Samples were obtained from five sites in the country–Athi River hatchery, Kisii Fingerling Production Centre (FPC), Jewlett hatchery, Sagana Hatchery Station and Lake Baringo. DNA was extracted from tissue samples, followed by amplification and sequencing of the dloop region. Haplotype diversities, phylogenetic structure and variation at the dloop region of mitochondrial DNA were assessed. Mitochondrial DNA analyses indicated that the sampled species showed genetic diversity between its populations. The genetic results were congruent indicating the differences in diversities and haplotype similarities of catfish samples from different sites. The Sagana, Kisii FPC, Jewlett and Baringo population cluster overlapped indicating possibly shared source of brood stock. The Athi river population was in a different cluster and its distinctiveness is attributed to imported brood stock. Both Athi River hatchery and Lake Baringo populations were highly variable and has great potential for production.

Kibegwa, F, Githui K, Joseph Jung'a, Jung'a J.  2017.  {Mitochondrial DNA Diversity and Phylogenetic Relationships: Among two indigenous Kenyan goat breeds}. :1–64.: LAP LAMBERT Academic Publishing Abstract


Githui, EK, Kibegwa FM, Kamau JM, Mutura SK, Okwany ZA, Ngigi DM, Mwangi EW.  2016.  {Genetic relationships of indigenous goats reared by pastoralists in Kenya based on mitochondria D-loop sequence}. Animal Genetic Resources/Ressources génétiques animales/Recursos genéticos animales. :1–8. AbstractWebsite

Kenya indigenous goat breeds ( Capra hircus ) have not been accurately described. Therefore, there is threat of erosion of unique genotypes such as those associated with adaptability and disease resistance, through indiscriminate crossbreeding. The Kenyan goats classification based on phenotype/morphology identifies three breeds: Small East African (SEA) goats, the Galla goat and crosses of SEA and the Galla. In the present study, we sampled goats from two main geographic regions of Kenya with pastoralist communities, the Maasai and Somali/Boran. DNA was extracted from whole blood and polymerase chain reaction amplified using primers flanking a fragment of Cytocrome-b and D-loop regions of mitochondria DNA. The sequences derived were analysed both within Kenya goat populations and also compared with phylogeographic-related datasets. These data show that the majority of Kenyan indigenous goats are not distinct and their genetic structure is very diverse; however, distinct haplogroups were present. Genetic diversity showed weak positive in Tajima D test for Kenyan indigenous goats, while the Iberian/Mediterranean/Middle-East dataset had a more pronounced negative value indicating that the two populations are under different selection pressure. These analyses enabled phylogenetic relationships between and within species and the comparisons of local goats to related breeds geographically. The information can be applied management of conservation-guided breeding programmes by crossing the indigenous breed's unique genes with high productivity traits from another source.


Kibegwa, FM, Githui KE, Jung'a JO, Badamana MS, Nyamu MN.  2015.  {Mitochondrial DNA variation of indigenous goats in Narok and Isiolo counties of Kenya}. Journal of Animal Breeding and Genetics. 133:238–247. Abstract

Phylogenetic relationships among and genetic variability within 60 goats from two different indigenous breeds in Narok and Isiolo counties in Kenya and 22 published goat samples were analysed using mitochondrial control region sequences. The results showed that there were 54 polymorphic sites in a 481-bp sequence and 29 haplotypes were determined. The mean haplotype diversity and nucleotide diversity were 0.981 ± 0.006 and 0.019 ± 0.001, respectively. The phylogenetic analysis in combination with goat haplogroup reference sequences from GenBank showed that all goat sequences were clustered into two haplogroups (A and G), of which haplogroup A was the commonest in the two populations. A very high percentage (99.90{%}) of the genetic variation was distributed within the regions, and a smaller percentage (0.10{%}) distributed among regions as revealed by the analysis of molecular variance (amova). This amova results showed that the divergence between regions was not statistically significant. We concluded that the high levels of intrapopulation diversity in Isiolo and Narok goats and the weak phylogeographic structuring suggested that there existed strong gene flow among goat populations probably caused by extensive transportation of goats in history.

Thuo, DN, Junga JO, Kamau JM, Amimo JO, Kibegwa FM, Githui KE.  2015.  Biodiversity & Endangered Species Population Viability Analysis of Black Rhinoceros ( Diceros bicornis michaeli ) in Lake Nakuru National Park, Kenya. J Biodivers Endanger Species. 3:1–5., Number 1 Abstract



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