Genomic-enabled Prediction Accuracies Increased by Modeling Genotype × Environment Interaction in Durum Wheat

The Plant Genome
Sivakumar SukumaranMatthew Reynolds

Abstract

Genomic prediction studies incorporating genotype × environment (G×E) interaction effects are limited in durum wheat. We tested the genomic-enabled prediction accuracy (PA) of Genomic Best Linear Unbiased Predictor (GBLUP) models-six non-G × E and three G × E models-on three basic cross-validation (CV) schemes- in predicting incomplete field trials (CV2), new lines (CV1), and lines in untested environments (CV0)- in a durum wheat panel grown under yield potential, drought stress, and heat stress conditions. For CV0, three scenarios were considered: (i) leave-one environment out (CV0-Env); (ii) leave one site out (CV0-Site); and (iii) leave 1 yr out (CV0-Year). The reaction norm models with G × E effects showed higher PA than the non-G × E models. Among the CV schemes, CV2 and CV0-Env had higher PA (0.58 each) than the CV1 scheme (0.35). When the average of all the models and CV schemes were considered, among the eight traits- grain yield, thousand grain weight, grain number, days to anthesis, days to maturity, plant height, and normalized difference vegetation index at vegetative (NDVIvg) and grain filling (NDVIllg)-, plant height had the highest PA (0.68) and moderate values were observed for grain yield (0.34). The results in...Continue Reading

References

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Citations

Sep 3, 2020·Plant Biotechnology Journal·Abhishek BohraRajeev Kumar Varshney
Dec 7, 2018·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Barbara SteinerHermann Buerstmayr
Apr 16, 2020·Frontiers in Plant Science·Nicholas SantantonioKelly R Robbins
Jun 18, 2021·Journal of Experimental Botany·Matthew P ReynoldsHans J Braun
Nov 2, 2021·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Kassa SemagnDean Spaner
Dec 10, 2021·Frontiers in Plant Science·Cathy C WesthuesTimothy M Beissinger

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