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Russell, J. ,  Mascher, M. ,  Dawson, Ian K. ,  Kyriakidis, S. ,  Calixto, C. ,  Freund, F. ,  Bayer, M. ,  Milne, I. ,  Marshall-Griffiths, T. ,  Heinen, S. ,  Hofstad, A. ,  Sharma, A. ,  Himmelbach, A. ,  Knauft, M. ,  Zonneveld, M. van ,  Brown, J.W.S. ,  Schmid, K. ,  Kilian, B. ,  Muehlbauer, G.J. ,  Stein, N. ,  Waugh, R. ,  [Exome sequencing of geographically diverse barley landraces and wild relatives gives insights into environmental adaptation] ,  Exome sequencing of geographically diverse barley landraces and wild relatives gives insights into environmental adaptation

Jamnadass, Ramni H. ,  Dawson, Ian K. ,  Franzel, Steven ,  Leakey, R.R.B. ,  Mithöfer, D. ,  Akinnifesi, F.K. ,  Tchoundjeu, Z. ,  [Improving livelihoods and nutrition in sub-Saharan Africa through the promotion of indigenous and exotic fruit production in smallholders’ agroforestry systems: a review] ,  Improving livelihoods and nutrition in sub-Saharan Africa through the promotion of indigenous and exotic fruit production in smallholders’ agroforestry systems: a review

Jamnadass, Ramni H. ,  Hanson, Jean ,  Poole, Elizabeth J. ,  Hanotte, Olivier H. ,  Simons, T.J. ,  Dawson, Ian K. ,  [High differentiation among populations of the woody legume Sesbania sesban in sub-Saharan Africa: Implications for conservation and cultivation during germplasm introduction into agroforestry systems] ,  High differentiation among populations of the woody legume Sesbania sesban in sub-Saharan Africa: Implications for conservation and cultivation during germplasm introduction into agroforestry systems

Breugel, P. van ,  Coe, R. ,  Kindt, Roeland ,  Zonneveld, M. van ,  Lilleso, J-P. ,  Graudal, L. ,  Muchugi, A. ,  Russell, J. ,  Jamnadass, Ramni H. ,  Dawson, Ian K. ,  [A meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives] ,  A meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives