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Rice
Fig. 3 | Rice

Fig. 3

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

Fig. 3

Predictive ability (LSmeans with error-bars representing the standard error) for the multi-site model (Multi2 scenario) without G × E interaction (MM, lighter color), including the genotype-by-environment interaction with similar variances between environments (MDs) or with different variances between environments (MDe, darker color). The training set was constituted with the phenotypes of the PCT27A at generation S0:2 in Palmira (PAL) at and a proportion (25, 50 or 75%) chosen randomly 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). Dashed horizontal lines represented the PA of the Uni1 scenario. Within a trait, the letters represent significant differences between models (p-value < 0.05)

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