Related links

Impact Stories

• Cutting-edge genetic analysis and SMS technology dramatically shifts dairy cattle practices in Tanzania, 2020
• The future of agricultural extension in Africa is digital, 2020

ADGG Platform-tools

• ADGG platform help module
• ADGG-ODK-1 Installing ODK and update tools
• A manual to guide collection of data using the ADGG ODK tools
• ADGG_Platform_ODK_Training_Slides

Training Modules

• ADGG Dairy tool
  • Helping your cow to calve
  • Ensuring Dairy Herd Hygiene

    ADGG-Updating Animal Details via USSD

Outputs

• ADGG-Ethiopia-Index-2020
• ADGG-TZN-Index-2020
• ADGG-Tanzania-Top40-Animals

African Dairy Genetic Gains (ADGG) project work in improving dairy productivity in Tanzania.

• Part 1: https://youtu.be/km26JzTVXUQ
• Part 2: https://youtu.be/fNx84KE2lmk
• Part 3: https://youtu.be/yvqAHMJjB4Q
• Part 4: https://youtu.be/2hYj8eUh7uA

Publications

• Gebrehiwot, Netsanet Z., Hassan Aliloo, Eva M. Strucken, Karen Marshall, Mohammad Al Kalaldeh, Ayao Missohou, and John P. Gibson. 2021 Inference of ancestries and heterozygosity proportion and genotype imputation in West African cattle populations. Frontiers in Genetics 12: article 584355. https://doi.org/10.3389/fgene.2021.584355;  https://www.frontiersin.org/articles/10.3389/fgene.2021.584355/full; https://hdl.handle.net/10568/113359

• Gebrehiwot, N.Z., E.M. Strucken, K. Marshall, H. Aliloo, and J.P. Gibson. 2021 SNP panels for the estimation of dairy breed proportion and parentage assignment in African crossbred dairy cattle. Genet Sel Evol 53: 21. https://doi.org/10.1186/s12711-021-00615-4; https://hdl.handle.net/10568/111782

• Mrode, R., Ojango, J., Ekine-Dzivenu, C., Aliloo, H., Gibson, J. and Okeyo, M.A. 2021. Genomic prediction of crossbred dairy cattle in Tanzania: A route to productivity gains in smallholder dairy systems. Journal of Dairy Science. https://hdl.handle.net/10568/114617 DOI: https://doi.org/10.3168/jds.2020-20052

• Aliloo, H., Mrode R., Okeyo A. M., Gibson J. P. 2020 Ancestral Haplotype Mapping for GWAS and Detection of Signatures of Selection in Admixed Dairy Cattle of Kenya.  Frontiers in Genetics 11: 544 https://hdl.handle.net/10568/109411 https://doi.org/10.3389/fgene.2020.00544

• Gebrehiwot, N.Z., Strucken, E.M., Aliloo, H. Marshall, K. and Gibson, J.P. 2020. The patterns of admixture, divergence, and ancestry of African cattle populations determined from genome-wide SNP data. BMC Genomics 21, 869. https://doi.org/10.1186/s12864-020-07270-x https://hdl.handle.net/10568/110500

• Mrode, R., Ojango, J.M.K., Okeyo, A.M. and Mwacharo, J.M. 2020. Genomic selection and use of molecular tools in breeding programs for indigenous and crossbred cattle in developing countries: Current status and future prospects. Frontiers in Genetics 9: 694. https://hdl.handle.net/10568/99375; https://doi.org/10.3389/fgene.2018.00694

• Lukuyu, M. N., J. P. Gibson, D. B. Savage, J. Rao, N. Ndiwa & A. J. Duncan. 2019. Farmers’ Perceptions of Dairy Cattle Breeds, Breeding and Feeding Strategies: A Case of Smallholder Dairy Farmers in Western Kenya, East African Agricultural and Forestry Journal, pp 17. DOI: https://doi.org/10.1080/00128325.2019.1659215 https://hdl.handle.net/10568/105537

• Marshall, K., Gibson, J.P., Mwai, O., Mwacharo, J.M., Haile, A., Getachew, T., Mrode, R. and Kemp, S.J. 2019. Livestock genomics for developing countries―African examples in practice. Frontiers in Genetics 10:297. https://hdl.handle.net/10568/105901 DOI: https://doi.org/10.3389/fgene.2019.00297

• Aliloo, H., Mrode, R., Okeyo, A.M., Ni, G., Goddard, M.E. and Gibson, J.P. 2018. The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa. Journal of Dairy Science 101(10):9108-9127. https://hdl.handle.net/10568/96904 DOI: https://doi.org/10.3168/jds.2018-14621

• Aliloo, H., Mrode, R., Okeyo, A.M., Ni, G., Goddard, M.E. and Gibson, J.P. 2018. The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa. Journal of Dairy Science 101(10):9108-9127. https://hdl.handle.net/10568/96904 DOI: https://doi.org/10.3168/jds.2018-14621

• Strucken, E.M., Al-Mamun, H.A., Esquivelzeta-Rabell, C., Gondro, C., Mwai, O.A. and Gibson, J.P. 2017. Genetic tests for estimating dairy breed proportion and parentage assignment in East African crossbred cattle. Genetics Selection Evolution 49:67. https://hdl.handle.net/10568/89717 DOI:https://doi.org/10.1186/s12711-017-0342-1

• Brown, A., Ojango, J., Gibson, J., Coffey, m., Okeyo, M. and Mrode, R. 2016. Genomic selection in a crossbred cattle population using data from the Dairy Genetics East Africa Project. Short Communication. J. Dairy Sci. 99:1–5 http://dx.doi.org/10.3168/jds.2016-11083

Presentations

• Ojango, J.M.K., Okeyo A.M., Mrode, R., Chinyere, E., Gebreyohanes, G., Rao, J., Meseret, S., Mogaka, D., Lyatuu, E., Komwihangilo, D., Msuta, G., Kahumbu, S., Gibson, J.P. and Kemp, S. 2022. Bridging the gap in data from smallholder dairy systems; The Africa Dairy Genetic Gains (ADGG) Data platform. Presented at the 12 World Congress Genetics Applied to Livestock Production (WCGALP), Rotterdam, The Netherlands, 3-8 July 2022. Nairobi: ILRI. https://cgspace.cgiar.org/handle/10568/120177

• Ojango, J. 2022. Raising calves - a strategic investment for smallholder farmers in East Africa. Video. Nairobi, Kenya: ILRI. https://cgspace.cgiar.org/handle/10568/119740 

• Mrode, R., Ojango, J., Chinyere, E., Gibson, J. and Mwai, O. 2019. Innovative digital technology and genomic approaches to dairy cattle  genetic improvement in developing countries. Presented at the Strategic Interest Research Group Meeting on  Genetic Improvement of Livestock II, IITA, Ibadan, 2-3 September 2019. Nairobi, Kenya: ILRI.https://cgspace.cgiar.org/handle/10568/106562

• Mrode, R., Ojango, J., Gibson, J. and Mwai, O. 2019. Improving the accuracy of genomic predictions in small holder crossed-bred dairy cattle. Presented at the 7  All Africa Conference on Animal Agriculture (AACAA), Accra , Ghana 29 July– 2 August 2019. Nairobi, Kenya: ILRI. https://hdl.handle.net/10568/106560
• Mrode, R., Aliloo, H., Chinyere, E., Ojango, J., Gibson, J.P. and Okeyo, M. 2019. The  application of several genomic models  for the  analysis  of small holder  dairy cattle data. Presented at the Interbull  Annual Meeting, Cincinnati, Ohio, USA, 22-24 June 2019. Nairobi, Kenya: ILRI. https://cgspace.cgiar.org/handle/10568/106563
• Okeyo A.M., Ojango,  J.M.K., Mrode,  R., Quiros, C., Gibson, J., Efa, K., Besufekad, J., Lyatuu, E., Msuta, G., Kahumbu, S., Nyakundi, H.N., Mogaka, D. and Oyieng, E. 2019. Innovative application of ICT tools for paperless data capture and feedback in smallholder dairy production systems: The Platform for African Dairy Genetic Gains (ADGG). Paper presented at the Seventh All Africa conference on Animal Agriculture, Accra, Ghana, 29 July-2 August 2019. https://hdl.handle.net/10568/106392
• Ekine-Dzivenu, C.C.,  Mrode, R., Ojango, J,M.K. and Okeyo, A.M. 2019. Evaluating the impact of heat stress as measured by temperature- humidity index (THI) on test-day milk yield of dairy cattle in Tanzania. Paper presented at the Seventh All Africa conference on Animal Agriculture, Accra, Ghana, 29 July-2 August 2019. https://hdl.handle.net/10568/106482
• Mrode, R., Ojango, J., Gibson,  J.P. and Okeyo, M. 2019. Improving the accuracy of genomic predictions in small holder crossed- bred dairy cattle. Paper presented at the Seventh All Africa conference on Animal Agriculture, Accra, Ghana, 29 July-2 August 2019. https://hdl.handle.net/10568/106483

Project profile

• African Dairy Genetic Gains program: more productive cattle for Africa’s smallholders http://hdl.handle.net/10568/69179
• Dairy industry development in Ethiopia: Current status, major challenges and potential interventions for improvement (cgiar.org. https://hdl.handle.net/10568/114840

Posters

• African Dairy Genetic Gains program: Innovative private-public partnership for sustainable dairy productivity https://cgspace.cgiar.org/handle/10568/73292

Project Information Briefs

• Scaling up and sustaining genetic improvement for increased milk production and productivity in Ethiopia: Lessons and policy recommendations from the African dairy genetic gains program (cgiar.org). https://hdl.handle.net/10568/114250
• Enhancing dairy farmers’ education through ICT in Tanzania (cgiar.org). https://hdl.handle.net/10568/115700
• Sustaining genetic improvement for more milk in Tanzania (cgiar.org. https://hdl.handle.net/10568/115699