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Factors influencing genomic prediction accuracies of tropical maize resistance to fall armyworm and weevils

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Genomic selection (GS) can accelerate variety improvement when training set (TS) size and its relationship with the breeding set (BS) are optimized for prediction accuracies (PAs) of genomic prediction (GP) models. Sixteen GP algorithms were run on phenotypic best linear unbiased predictors (BLUPs)...

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Main Authors: Badji, Arfang, Machida, Lewis, Kwemoi, Daniel Bomet, Kumi, Frank, Okii, Dennis, Mwila, Natasha, Agbahoungba, Symphorien, Ibanda, Angele, Bararyenya, Astere, Nghituwamhata, Selma Ndapewa, Odong, Thomas L., Wasswa, Peter, Otim, Michael, Ochwo-Ssemakula, Mildred, Talwana, Herbert, Asea, Godfrey, Kyamanywa, Samuel, Rubaihayo, Patrick
Format: Book Chapter
Language:Inglés
Published: MDPI 2021
Subjects:
marker-assisted selection
maize
defence mechanisms
selección asistida por marcadores
maíz
mecanismos de defensa
Online Access:https://hdl.handle.net/10568/117423
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