CRP Livestock Kenya
Permanent URI for this collectionhttps://hdl.handle.net/10568/89920
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Item Program for Climate Smart Livestock Systems (PCSL): Futures workshop, Kenya, November–December 2021(Report, 2020-11) Kitololo, L.; Pereira, L.; Vrettos, C.; Cramer, Laura K.; Jacobson, M.; Fredstrom, L.; Njuguna, L.; Ericksen, Polly J.The International Livestock Research Institute (ILRI) is implementing the Program for Climate Smart Livestock (PCSL) in Kenya, Uganda, and Ethiopia. PCSL is designed to build the capacity of governments, the private sector, and livestock keepers towards improving livestock productivity, reducing greenhouse gas emissions while adapting to climate change. In late November 2020, ILRI held a virtual workshop with relevant stakeholders to discuss potential transformative pathways for the livestock sector in Kenya. PARTICIPANTS The workshop brought together 35 Kenyan stakeholders representing a variety of organisations, including government ministries, the private sector, NGOs and research institutes. FORMAT The workshop was carried out virtually, via Zoom, over 2 days, 1 week apart. Digital tools were used for gathering individual reflections (Mentimeter) and group discussions (Miro). The workshop activities and outcomes are outlined in the following pages. They draw a lot of inspiration from the Futures Thinking Playbook by Kate Bishop King (2017) and the Three Horizons Framework as applied by Bill Sharpe and colleagues (2016). REPORTING BACK This report shares both the workshop methodology and exercises carried out, as well as the key outcomes.Item Nutrition, social and behaviour change strategy for dairy development programs in western and southeastern Kenya(Report, 2021-06-15) Girard, Amy W.; Adere, Jennifer; Dominguez-Salas, Paula; Bruyn, Julia de; Kedera, Ellah; Cyriac, Shruthi; Galiè, Alessandra; Baltenweck, IsabelleItem Improving small ruminant productivity in pastoral systems of Kenya: Baseline household survey report 2021(Report, 2021-05-30) Oyieng, Edwin P.; Ojango, Julie M.K.; Audho, James; Gitau, Jennifer; Gachora, J.Item Gender dynamics and social implications of improved planted forages in smallholder dairy systems in Kenya(Report, 2021-04-30) Lukuyu, Ben A.; Mutambo, I.; Ouma, Emily A.Item LivHealth E-surveillance App(Software, 2020) Badili Innovations LtdLivHealth E-surveillance App facilitates the recording of syndromic symptoms as well as diseases that are reported by community disease reporters (CDRs). The application enables the easy capture and documentation of disease syndromes as well as confirmed diseases that are reported from the communities who are keeping livestock for a living.Item Building financial resilience in pastoral communities in Africa: Lessons learned from implementing the Kenya Livestock Insurance Program (KLIP)(Book, 2021-02-15) Fava, Francesco P.; Jensen, Nathaniel D.; Sina, J.; Mude, Andrew G.; Maher, B.Item Participatory rangeland management toolkit for Kenya, Tool 2-6: Essential restorative grazing: Part two – Rotational approaches(Manual, 2020-12-30) Sircely, Jason A.Item Participatory rangeland management toolkit for Kenya, Tool 3-2: Inter-community stock route and rangeland resource mapping(Manual, 2020-12-30) Robinson, Lance W.; Oloo, Stephen O.; Said, Mohammed YahyaItem Participatory rangeland management toolkit for Kenya, Tool 2-5: Essential restorative grazing: Part one – Rangeland resting.(Manual, 2020-12-30) Sircely, Jason A.Item Participatory rangeland management toolkit for Kenya, Tool 3-3: Negotiating reciprocal grazing agreements(Manual, 2020-12-30) Robinson, Lance W.Item Grass2Cash beneficiary scoping and on farm monitoring in Western Kenya - 2020 report of activities(Report, 2020) Karimi, Peggy; Odhiambo, Ruth; Paul, Birthe K.Item Accelerating genetic improvement in emerging smallholder dairy systems through fixed-time and conventional artificial insemination technologies: organizational and operational experiences from Kenya(Report, 2020-12-30) Okeyo Mwai, Ally; Tsuma, V.; Owino, J.O.; Ochieng, Laurence; Rao, E.J.O.Item LegumeSELECT: A baseline characterisation of four selected sites in Kisii and Migori counties of western Kenya(Report, 2021-01-30) Shiluli, M.; Mogaka, J.; Nyaga, J.; Kinuthia, R.; Njoroge, J.; Kidula, N.; Öborn, I.; Duncan, Alan J.; Hammond, JamesItem Use of the infection and treatment method in the control of East Coast fever in Kenya: Does gender matter for adoption and impact?(Journal Article, 2020-10-26) Jumba, Humphrey; Teufel, Nils; Baltenweck, Isabelle; Haan, Nicoline C. de; Kiara, Henry K.; Owuor, G.Item Economic viability of abattoirs in Arid and Semi-Arid Land (ASAL) counties of Kenya(Report, 2019-11) Kirui, Leonard; Karugia, Joseph T.Item Enhancing availability of quality forages seeds in Uganda and Kenya(Poster, 2020-06-08) Lukuyu, Ben A.Item Determinants of livestock market participation among pastoral communities of Tana River County, Kenya(Journal Article, 2021-05) Lutta, A.I.; Wasonga, Oliver Vivian; Robinson, Lance W.; Nyangito, M.M.; Sircely, Jason A.Item Molecular evidence confirms occurrence of Rhipicephalus microplus Clade A in Kenya and sub-Saharan Africa(Journal Article, 2020-12) Kanduma, Esther G.; Emery, D.; Githaka, Naftaly W.; Nguu, E.K.; Bishop, Richard P.; Šlapeta, J.Background The tick vector Rhipicephalus microplus which transmits Babesia spp. and rickettsial pathogens has not been reported in Kenya since 1998. More recently, the pathogenic Babesia bovis has been detected in cattle blood DNA. The status of R. microplus in Kenya remains unknown. This study employed morphological and molecular tools to characterize R. microplus originating from Kenya and assess the genetic relationships between Kenyan and other African R. microplus genotypes. Methods Ticks were collected in south-eastern Kenya (Kwale County) from cattle and characterized to investigate the existence of R. microplus. Genetic and phylogenetic relationships between the Kenyan and other annotated R. microplus reference sequences was investigated by analysis of the cytochrome c oxidase subunit 1 (cox1) gene. To further characterize Kenyan ticks, we generated low coverage whole genome sequences of two R. microplus, one R. decoloratus and R. appendiculatus. A B. bovis specific TaqMan probe qPCR assay was used to detect B. bovis in gDNA from R. microplus ticks. Results Occurrence of R. microplus was confirmed in Kwale County, Kenya. The Kenyan R. microplus cox1 sequences showed very high pairwise identities (> 99%) and clustered very closely with reference African R. microplus sequences. We found a low genetic variation and lack of geographical sub-structuring among the African cox1 sequences of R. microplus. Four complete mitochondrial (mt) genomes for two R. microplus, one R. decoloratus and one R. appendiculatus were assembled from next generation sequence data. The mitochondrial genome sequences of the two Kenyan R. microplus ticks clustered closely with reference genome sequences from Brazil, USA, Cambodia and India forming R. microplus Clade A. No B. bovis was detected in the Kwale R. microplus DNA. Conclusions These findings confirm the presence of R. microplus in Kenya and suggest that R. microplus Clade A is prevalent in cattle in sub-Saharan Africa. These and other recent findings of widespread occurrence of R. microplus in Africa provide a strong justification for urgent surveillance to determine and monitor the spread of R. microplus and vector competence of Boophilus ticks for B. bovis in Africa, with the ultimate goal of strategic control.Item Effects of COVID-19 on food security and nutrition in northern Kenya(Poster, 2020-09-02) Omosa, Esther B.; Njiru, MuthoniItem The fiscal impact of COVID-19 on county finances: Case of 5 Counties in northern Kenya(Poster, 2020-09-02) Makau, Joyce; Njiru, Muthoni