Guidelines procedures and protocols for genetic evaluation and certification of breeding bulls and dams in Uganda
Kugonza, D.R.
Bull selection guideline for genetic improvement
Seyoum, K.
Mamo, S.
Birhanu, T.
Muluneh, D.
Kassa, T.
On-Line LUKE-ADGG Training Course on MiX99 Genetic Genomic Analyses Software, 13─17 December 2022
Mrode, Raphael A.
Dairy profitability simulator mobile application: IPSR Innovation Profile
Rao, E.J.O.
Ojango, Julie M.K.
Menjo, Dominic
Kang'ethe, Edwin
Kipkosgei, Gideon
Mogaka, David
Jabes, Yusuf
Challenges and opportunities for genetic improvements in smallholder dairy systems in the tropics
Ojango, Julie M.K.
Mrode, Raphael A.
Gebreyohanes, Gebregziabher
Chinyere, Ekine
Okeyo Mwai, Ally
Identifying positive deviant farms using pareto-optimality ranking technique to assess productivity and livelihood benefits in smallholder dairy farming under contrasting stressful environments in Tanzania
Shija, D.S.
Okeyo Mwai, Ally
Migwi, P, K.
Komwihangilo, Daniel M.
Bebe, B.O.
Overview of the Africa Dairy Genetic Gains (ADGG) Project
International Livestock Research Institute
E-Learning tools on best practices for dairy production
Gitau, Jennifer
Breeding programs to accelerate dairy productivity in Nepal: Opportunity for adapting the Africa Dairy Genetic Gains (ADGG) program
