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APSIM-based modeling approach to understand sorghum production environments in Mali. Diancoumba Madina, Kholova Jana, Adam Myriam, Famanta Mahamoudou, Clerget Benoît, Traore Pierre C. S., Weltzien Eva, Vacksmann Michel, McLean Greg, Hammer Graeme L., Van Oosterom Erik, Vadez Vincent. 2024. Agronomy for Sustainable Development, 44:25, 16 p.

Sorghum back-cross nested association mapping populations and multiparental multi-environment statistical methodology to support breeding in West-Africa. Garin Vincent, Tekete Mohamed, Diallo Chiaka, Thera Korothimi, Teme Niaba, Kouressy Mamoutou, Dagno Karim, Diallo Abdoulaye, Nebie Baloua, Touré Aboubacar, Weltzien Eva, Rattunde Fred, Sissoko Ibrahima, Kholova Jana, Guitton Baptiste, Pot David, Rami Jean-François, Vaksmann Michel. 2022. . ISRA, CERAAS, CIRAD, IRD. Dakar : ISRA, 1 p. Interdrought Conference (Plant production in water limited environments). 7, Dakar, Sénégal, 29 Novembre 2022/2 Décembre 2022.

Selection of trait-specific markers and multi-environment models improve genomic predictive ability in rice. Bhandari Aditi, Bartholomé Jérôme, Cao-Hamadou Tuong-Vi, Kumari Nilima, Frouin Julien, Kumar Arvind, Ahmadi Nourollah. 2019. PloS One, 14 (5):e0208871, 21 p.

Genomic prediction accounting for genotype by environment interaction offers an effective framework for breeding simultaneously for adaptation to an abiotic stress and performance under normal cropping conditions in rice. Ben Hassen Manel, Bartholomé Jérôme, Valè Giampiero, Cao Tuong-Vi, Ahmadi Nourollah. 2018. G3 - Genes Genomes Genetics, 8 (7) : 2319-2332.