Delivering trait-enhanced varieties to African smallholders through a pangenomic breeding network
Maina, F.; Faye, J. M.; Kena, A. W.; Diatta, C.; Tankari, M. I.; Ardaly, O. A.; Diakite, O. S.; Ibrahim, A. M.; Moussa, O. A.; Harou, A.; Abdou, R.; Sene, J. P.; Bodian, S.; Ndour, M.; Sambakhe, D.; Sine, B.; Kadanga, P.; Akata, E.; Ouedraogo, N.; Annor, B.; Tetteh, I. T.; Yahaya, M. A.; Diallo, A.; Kakeeto, R.; Kisilu, R. K.; Kondombo, C. P.; Legesse, T.; Mbulwe, L.; Mutaliano, J.; Mwenda, E. T.; Naoura, G.; Mafouasson, H. N. A.; Opare-Obuobi, K.; Abdulmalik, R. O.; Runo, S.; Abdelhalim, T. S.; Yalaukani, L.; Masanga, J.; McLaughlin, C. M.; Lasky, J. R.; Harder, A. M.; Healey, A. L.; Lovell,
Show abstract
Pangenomics has been promoted to accelerate breeding of orphan crops, but smallholder farmers in developing nations have seen little benefit so far. To address this gap, we built a global pangenomic breeding network, integrating African breeding programs, U.S. land grant universities, and international nonprofit research organizations. Here we demonstrate that pangenomics, when integrated with local crop improvement knowledge and global scientific partnerships, can facilitate breeding of drought and pest resilient varieties for smallholders. To breed trait-enhanced sorghum varieties with lgs1-1 resistance to witchweed (Striga hermonthica) for smallholders in Niger, one of the worlds least developed nations, we used population genomics across local and global scales to develop lgs1-1 Striga resistance markers, and deployed them for rapid introgression of resistance into locally-preferred varieties. Genomic characterization, along with controlled experiments in laboratory, pot, field stations, and smallholder farms, confirmed lgs1-1 resistance was introgressed without loss of essential local-preference traits. New pangenomic resources, including global resequencing and graph pangenomes, further accelerated design of broadly-applicable markers. Unlocking the potential of pangenomics for stress-resilience breeding depended on stakeholder input, strong inference, South-led decision support software, and a dense collaborative network. The experience of the network provides a scalable roadmap for collaborative pangenomic breeding of trait-enhanced varieties for the worlds lowest-resourced farmers.
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