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RO Mosi

Researcher at University of Nairobi

Publications -  25
Citations -  322

RO Mosi is an academic researcher from University of Nairobi. The author has contributed to research in topics: Heritability & Dairy cattle. The author has an hindex of 9, co-authored 22 publications receiving 294 citations.

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Performance of Toggenburg dairy goats in smallholder production systems of the eastern highlands of Kenya

TL;DR: The results demonstrated that the Toggenburg goats were able to perform and thrive reasonably well under the low-input farming conditions.
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Comparative evaluation of three PCR base diagnostic assays for the detection of pathogenic trypanosomes in cattle blood

TL;DR: The single ITS and nested ITS based diagnostic assays detected higher numbers of positive cases, and reduced the number of PCR reactions per sample to one and two respectively, compared to the five PCR reactions carried out using the species specific primers, indicating the superiority of the ITS multi-species detection techniques.
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Crossbreeding Ayrshire, Friesian, and Sahiwal cattle for milk yield and preweaning traits of progeny in the semiarid tropics of Kenya

TL;DR: When stratification is not possible or when reproductive rates are low, two-breed rotational crossbreeding is an efficient system to exploit additive and nonadditive genetic variation for tropical dairy production.
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Spatial distribution of African Animal Trypanosomiasis in Suba and Teso districts in Western Kenya.

TL;DR: A study combining highly sensitive and species specific molecular diagnostic methods, and Geographical information system (GIS) for spatial analysis of trypanosome infection patterns, suggests a need to design control strategies that target not just the biological vector tsetse, but also the parasite in cattle in order to clear the possibly mechanically transmitted T. vivax infections.
Journal Article

The effects of non-genetic factors and estimation of genetic and phenotypic parameters and trends for milk yield in Ayrshire cattle in Kenya

TL;DR: The high variation as indicated by both large standard errors and low heritabilities of the milk trait indicate that much improvement in this trait could be achieved through improved management, and the negative annual genetic changes in milk yield observed could be due to ineffective breeding strategies both at herd and national level.