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)...

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Detalles Bibliográficos
Autores principales:	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
Formato:	Capítulo de libro
Lenguaje:	Inglés
Publicado:	MDPI 2021
Materias:	marker-assisted selection maize defence mechanisms selección asistida por marcadores maíz mecanismos de defensa
Acceso en línea:	https://hdl.handle.net/10568/117423

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

Publicado 2020

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Journal Article

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

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