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Performance of phenomic selection in sorghum: Exploring population structure and GXE effects on prediction accuracy. Salas Nicolas, Garin Vincent, Thera Korothimi, Diallo Chiaka, Tekete Mohamed Lamine, Guitton Baptiste, Dagno Karim, Diallo Abdoulaye, Kouressy Mamoutou, Leiser Willmar L., Rattunde Fred, Sissoko Ibrahima, Touré Aboubacar, Baloua Nébié, Samaké Moussa, Kholova Jana, Frouin Julien, Vaksmann Michel, Weltzien Eva, Témé Niaba, Rami Jean-François, Segura Vincent, Pot David. 2023. In : Sorghum in the 21st century: Resiliency and sustainability in the face of climate change. Book of abstracts. CIRAD, Kansas State University, Collaborative Research on Sorghum and Millet, SorghumID, IRD, CERAAS. Montpellier : CIRAD-Kansas State University, Résumé, p. 115. Sorghum in the 21st Century, Global Sorghum Conference, Montpellier, France, 5 Juin 2023/9 Juin 2023.

Interest of phenomic prediction as an alternative to genomic prediction in grapevine. Brault Charlotte, Lazerges Juliette, Doligez Agnès, Thomas Miguel, Ecarnot Martin, Roumet Pierre, Bertrand Yves, Berger Gilles, Pons Thierry, François Pierre, Le Cunff Loïc, This Patrice, Segura Vincent. 2022. Plant Methods, 18 (1):108, 13 p.

A comparative analysis of genomic and phenomic predictions of growth-related traits in three-way coffee hybrids. Mbebi Alain J., Breitler Jean-Christophe, Bordeaux Mélanie, Sulpice Ronan, McHale Marcus, Hao Tong, Toniutti Lucile, Alonso Castillo Jonny, Bertrand Benoît, Nikoloski Zoran. 2022. G3 - Genes Genomes Genetics, 12 (9):jkac170, 14 p.