Table 2 Prediction accuracy of models by environments and traits

From: Bayesian analysis and prediction of hybrid performance

Models	Environment: AN.IN			Environment: AN.LN
Models	EH	PH	GY	EH	PH	GY
A	0.805^a	0.74^ab	0.581^d	0.710^a	0.595^a	0.462^a
A + D	0.809 ^a	0.750 ^a	0.618 ^a	0.711 ^a	0.611 ^a	0.481 ^a
A + AA	0.805^a	0.740^ab	0.597^bcd	0.708^a	0.601^a	0.478^a
A + AD	0.804^a	0.740^ab	0.579^d	0.708^a	0.594^a	0.463^a
A + D+AA	0.806^a	0.745^ab	0.612^ab	0.707^a	0.607^a	0.480^a
A + D+AD	0.805^a	0.738^ab	0.583 ^cd	0.708^a	0.600^a	0.466^a
A + D+AA + AD	0.805^a	0.742^ab	0.607^ab	0.705^a	0.604^a	0.475^a
RKHS	0.802^a	0.735^b	0.602^abc	0.699^a	0.599^a	0.470^a

Models	Environment: PI.IN			Environment: PI.LN
Models	EH	PH	GY	EH	PH	GY
A	0.791^a	0.701^a	0.527^a	0.800^a	0.676^b	0.456^b
A + D	0.797 ^a	0.720 ^a	0.543 ^a	0.806 ^a	0.699 ^a	0.487 ^a
A + AA	0.792^a	0.706^a	0.534^a	0.799^a	0.685^ab	0.476^ab
A + AD	0.790^a	0.702^a	0.526^a	0.799^a	0.677^b	0.457^b
A + D+AA	0.794^a	0.714^a	0.54^a	0.803^a	0.694^ab	0.483^a
A + D+AD	0.794^a	0.705^a	0.537^a	0.803^a	0.679^b	0.475^ab
A + D+AA + AD	0.793^a	0.712^a	0.539^a	0.803^a	0.690^ab	0.483^a
RKHS	0.791^a	0.708^a	0.539^a	0.802^a	0.683^ab	0.484^a

A additive, D dominance, AA additive × additive, AD additive × dominance effects, RKHS reproducing kernel Hilbert spaces model, AN.IN Anhembi ideal nitrogen regime, AN.LN Anhembi low nitrogen regime, PI.IN Piracicaba ideal nitrogen regime, PI.LN Piracicaba low nitrogen regime. EH, GY, and PH ear height, grain yield, and plant height, respectively. Different letters indicate statistically significant differences at 0.05 significance level according to Tuckey’s Honest Significance Difference test. Italics numbers indicates the highest estimates

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ISSN: 1746-4811

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