Factors Influencing Genomic Prediction Accuracies of Tropical Maize Resistance to Fall Armyworm and Weevils

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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Bibliographic Details
Main Authors: Arfang Badji, Lewis Machida, Daniel Bomet Kwemoi, Frank Kumi, Dennis Okii, Natasha Mwila, Symphorien Agbahoungba, Angele Ibanda, Astere Bararyenya, Selma Ndapewa Nghituwamhata, Thomas Odong, Peter Wasswa, Michael Otim, Mildred Ochwo-Ssemakula, Herbert Talwana, Godfrey Asea, Samuel Kyamanywa, Patrick Rubaihayo
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Plants
Subjects:
prediction accuracy
mixed linear and Bayesian models
machine learning algorithms
training set size and composition
parametric and nonparametric models
Online Access:https://www.mdpi.com/2223-7747/10/1/29

Internet

https://www.mdpi.com/2223-7747/10/1/29

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