Raphael Mrode

Raphael Mrode

Principal Scientist

Raphael Mrode is principal scientist in Quantitative Dairy Cattle genetics at the International Livestock Research. He holds a joint position at the Scotland Rural College as Professor in Quantitative genetics.  He has been involved in the development and research underpinning genetic evaluations in dairy and beef cattle in the United Kingdom a member of Technical committee of the International organisation (INTERBULL)  in charge of dairy cattle evaluations, auditor of International  Committee for animal recording (ICAR). He has been lecturing in the Edinburgh University postgraduate course on Quantitative Genetics and  Genome analysis since  2005, author of the widely used textbook, “Linear Models for the prediction of Animal breeding values”  now in the third edition and has given international training courses in genetics and genomics in several countries including South Korea, India, Romania, Nigeria, Kenya, Tanzania and Ethiopia. His major role at ILRI involves developing and testing innovative genetic and genomic approaches to livestock genetic improvement that can deliver substantial improvements to poor farmers in low-input environments.

My Blog Posts

A cattle herd at Shamba Kubwa farm in Wami Sokoine village, Tanzania (Simon Fravaal/ILRI)

ILRI News

The Africa Asia Dairy Genetic Gains project launches mobile app to track dairy animal performance

My Publications

ILRI publication cover

Milk somatic cell count, composition and yield of multi-breed dairy cattle in Ethiopia

  • Chernet, T.F.
  • Okeyo Mwai, Ally
  • Meseret, Selam
  • Negussie, E.
  • Mrode, Raphael A.
  • Tarekegn, G.M.
  • Edea, Z.
  • Gebreyohanes, Gebregziabher
  • Ekine-Dzivenu, Chinyere
  • Tera, A.
  • Tessema, T.S.

Training of performance recording agents and extension workers on the Africa Asia Dairy Genetics Gains mobile data application in Ethiopia

  • Meseret, Selam
  • Ekine-Dzivenu, Chinyere C.
  • Gebreyohanes, Gebregziabher
  • Mrode, Raphael A.
  • Hassen, Messay

Outcomes of the Africa Asia Dairy Genetics Gains (AADGG) platform

  • Gebreyohanes, Gebregziabher
  • Ojango, Julie M.K.
  • Ekine-Dzivenu, Chinyere C.
  • Kipkosgei, Gideon
  • Mrode, Raphael A.

Animal phenotyping: challenges and opportunities

  • Mrode, Raphael A.

A new app to help empower farmers with integrated data capture

  • Volk, Jennifer
  • Gebreyohanes, Gebregziabher
  • Ojango, Julie M.K.
  • Ekine-Dzivenu, Chinyere C.
  • Deka, Ram Pratim
  • Mrode, Raphael A.
  • Mogaka, David
  • Kipkosgei, Gideon
  • Yusuf, Jabes
  • Messay, Hassen
  • Kelya, Neema
  • Meseret, Selam
  • Lyatuu, Eliamoni
  • Mukasa, Christopher
  • Agasi, Herbert
  • Dhulipala, Ram
  • Kemp, Steve
  • Salavati, M.
  • Basnet, Suresh
  • Kuruganti, P.
  • Okeyo Mwai, Ally

The 2024 genomic evaluation results for dairy animals on the Africa-Asia Dairy Genetic Gains platform in Tanzania

  • Ojango, Julie M.K.
  • Mrode, Raphael A.
  • Lyatuu, Eliamoni T.
  • Msuta, Gilbert T.
  • Komwihangilo, Daniel M.
  • Keyla, Neema J.
  • Ekine-Dzivenu, Chinyere C.
  • Gebreyohanes, Gebregziabher
  • Okeyo, Mwai A.