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

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)...

Full description

Bibliographic Details

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:	Journal Article
Language:	Inglés
Published:	MDPI 2020
Subjects:	marker-assisted selection maize defence mechanisms selección asistida por marcadores maíz mecanismos de defensa
Online Access:	https://hdl.handle.net/10568/110863