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

Plants

Lewis Machida¹  Patrick Rubaihayo²  Dennis Okii²  Angele Ibanda²  Thomas Odong²  Selma Ndapewa Nghituwamhata²  Mildred Ochwo-Ssemakula²  Natasha Mwila²  Peter Wasswa²  Astere Bararyenya²  Herbert Talwana²  Samuel Kyamanywa²  Arfang Badji²  Frank Kumi³  Symphorien Agbahoungba⁴  Daniel Bomet Kwemoi⁵  Michael Otim⁵  Godfrey Asea⁵ 

[1] Alliance Bioversity-CIAT, Africa-Office, Kampala P.O. Box 24384, Uganda;Department of Agricultural Production, Makerere University, Kampala P.O. Box 7062, Uganda;Department of Crop Science, University of Cape Coast, Cape Coast PMB, Ghana;Laboratory of Applied Ecology, University of Abomey-Calavi, Cotonou 01BP 526, Benin;National Crops Resource Research Institute, Kampala P.O. Box 7084, Uganda;

关键词: prediction accuracy;    mixed linear and Bayesian models;    machine learning algorithms;    training set size and composition;    parametric and nonparametric models;   

DOI  :  10.3390/plants10010029

来源: DOAJ

【 摘 要 】

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) and estimators (BLUEs) of resistance to both fall armyworm (FAW) and maize weevil (MW) in a tropical maize panel. For MW resistance, 37% of the panel was the TS, and the BS was the remainder, whilst for FAW, random-based training sets (RBTS) and pedigree-based training sets (PBTSs) were designed. PAs achieved with BLUPs varied from 0.66 to 0.82 for MW-resistance traits, and for FAW resistance, 0.694 to 0.714 for RBTS of 37%, and 0.843 to 0.844 for RBTS of 85%, and these were at least two-fold those from BLUEs. For PBTS, FAW resistance PAs were generally higher than those for RBTS, except for one dataset. GP models generally showed similar PAs across individual traits whilst the TS designation was determinant, since a positive correlation (R = 0.92***) between TS size and PAs was observed for RBTS, and for the PBTS, it was negative (R = 0.44**). This study pioneered the use of GS for maize resistance to insect pests in sub-Saharan Africa.

【 授权许可】

Unknown