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Rice
Fig. 4 | Rice

Fig. 4

From: Optimization of Multi-Generation Multi-location Genomic Prediction Models for Recurrent Genomic Selection in an Upland Rice Population

Fig. 4

Predictive ability (LSmeans with error-bars representing the standard error) for the multi-site model (Multi2 scenario) including the genotype-by-environment interaction with similar variances between environments (MDs). The training set was performed with the phenotypes of the PCT27A at generation S0:2 in Palmira (PAL) and a proportion (25, 50 or 75%) chosen randomly (in orange) or using the CDmean optimization method (in green) of S0:3 in Santa Rosa (SRO). Validation was performed with the phenotypes of the PCT27B at generation S0:4 in Santa Rosa (SRO) for the four traits of interest: flowering date (FL), plant height (PH), grain yield per plot (YLD) and grain zinc concentration (ZN). Within a proportion of S0:3 in Santa Rosa (SRO) included in the TS, the asterisks represent significant differences between models (p-value < 0.05)

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