Person: Agbona, A.
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Agbona
First Name
A.
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Agbona, A.
ORCID ID
0000-0002-9756-5432 5 results
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Now showing 1 - 5 of 5
- A penalized regression method for genomic prediction reduces mismatch between training and testing sets(MDPI, 2024) Montesinos-Lopez, O.A.; Pulido-Carrillo, C.D.; Montesinos-López, A.; Larios Trejo, J.A.; Montesinos-Lopez, J.C.; Agbona, A.; Crossa, J.
Publication - Exploring data augmentation algorithm to improve genomic prediction of top-ranking cultivars(MDP, 2024) Sivakumar, A.; Huerta Prado, G.I.; Salinas-Ruiz, J.; Agbona, A.; Ortiz Reyes, A.E.; Khalid Alnowibet; Ortiz, R.; Montesinos-Lopez, A.; Crossa, J.
Publication - Do feature selection methods for selecting environmental covariables enhance genomic prediction accuracy?(Frontiers Media S.A., 2023) Montesinos-Lopez, O.A.; Crespo Herrera, L.A.; Saint Pierre, C.; Bentley, A.R.; Rosa-Santamaria, R. de la; Ascencio-Laguna, J.A.; Agbona, A.; Gerard, G.S.; Montesinos-López, A.; Crossa, J.
Publication - Breeding schemes: what are they, how to formalize them, and how to improve them?(Frontiers, 2022) Covarrubias, E.; Gebeyehu, Z.; Gemenet, D.; Werner, C.; Labroo, M.; Sirak, S.H.; Coaldrake, P.; Rabbi, I.Y.; Kayondo, I.S.; Parkes, E.; Kanju, E.; Mbanjo, E.G.N.; Agbona, A.; Kulakow, P.; Quinn, M.; Debaene, J.
Publication - The Ontologies Community of Practice: a CGIAR initiative for big data in agrifood systems(Cell Press, 2020) Arnaud, E.; Laporte, M.A.; Soonho Kim; Aubert, C.; Leonelli, S.; Miro, B.; Cooper, L.; Jaiswal, P.; Kruseman, G.; Shrestha, R.; Buttigieg, P.L.; Mungall, C.; Pietragalla, J.; Agbona, A.; Muliro, J.; Detras, J.; Hualla, V.; Abhishek Rathore; Das, R.R.; Dieng, I.; Bauchet, G.J.; Menda, N.; Pommier, C.; Shaw, F.; Lyon, D.A.; Mwanzia, L.; Juarez, H.; Bonaiuti, E.; Chiputwa, B.; Obileye, O.; Auzoux, S.; Dzale Yeumo, E.; Mueller, L.A.; Silverstein, K.; Lafargue, A.; Antezana, E.; Devare, M.; King, B.
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