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Genomic prediction for broad and specific adaptation in sorghum accommodating differential variances of SNP effects

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Velazco, J. G., Jordan, D. R., Hunt, C. H., Mace, E. S. and van Eeuwijk, F. A. (2020) Genomic prediction for broad and specific adaptation in sorghum accommodating differential variances of SNP effects. Crop Science, 60 (5). pp. 2328-2342. ISSN 0011-183X


Article Link: https://doi.org/10.1002/csc2.20221

Publisher URL: https://acsess.onlinelibrary.wiley.com/doi/abs/10.1002/csc2.20221


This paper reports a first study exploring genomic prediction for adaptation of sorghum [Sorghum bicolor (L.) Moench] to drought-stress (D-ET) and non-stress (W-ET) environment types. The objective was to evaluate the impact of both modeling genotype-by-environment interaction (G × E) and accounting for heterogeneous variances of marker effects on genomic prediction of parental breeding values for grain yield within and across environment types (ET). For this aim, different genetic covariance structures and different weights for individual markers were investigated in BLUP-based prediction models. The BLUP models used a kinship matrix combining pedigree and genomic information, termed K-BLUP. The dataset comprised testcross yield performances under D-ET and W-ET as well as pedigree and genomic data. In general, modeling G × E increased predictive ability and reduced empirical bias of genomic predictions for broad adaptation across both ETs compared to models that ignored G × E by fitting a main genetic effect only. Genomic predictions for specific adaptation to D-ET or to W-ET were also improved by K-BLUP models that explicitly accommodated G × E and used data from both ETs, relative to prediction models that used data from the targeted ET exclusively or models that used all the data but assumed no G × E. Allowing for heterogeneous marker variances through weighted K-BLUP produced clear increments (between 43% and 72%) in predictive ability of genomic prediction for grain yield in all adaptation scenarios. We conclude that G × E as well as locus-specific genetic variances should be accommodated in genomic prediction models to improve adaptability of sorghum to variable environmental conditions. This article is protected by copyright. All rights reserved

Item Type:Article
Business groups:Crop and Food Science
Subjects:Science > Botany > Genetics
Agriculture > Agriculture (General) > Agricultural meteorology. Crops and climate
Agriculture > Agriculture (General) > Methods and systems of culture. Cropping systems
Plant culture > Field crops > Sorghum
Live Archive:12 Aug 2020 21:54
Last Modified:03 Sep 2021 16:46

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