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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
EH PH GY EH PH GY
A 0.805a 0.74ab 0.581d 0.710a 0.595a 0.462a
A + D 0.809 a 0.750 a 0.618 a 0.711 a 0.611 a 0.481 a
A + AA 0.805a 0.740ab 0.597bcd 0.708a 0.601a 0.478a
A + AD 0.804a 0.740ab 0.579d 0.708a 0.594a 0.463a
A + D+AA 0.806a 0.745ab 0.612ab 0.707a 0.607a 0.480a
A + D+AD 0.805a 0.738ab 0.583 cd 0.708a 0.600a 0.466a
A + D+AA + AD 0.805a 0.742ab 0.607ab 0.705a 0.604a 0.475a
RKHS 0.802a 0.735b 0.602abc 0.699a 0.599a 0.470a
Models Environment: PI.IN Environment: PI.LN
EH PH GY EH PH GY
A 0.791a 0.701a 0.527a 0.800a 0.676b 0.456b
A + D 0.797 a 0.720 a 0.543 a 0.806 a 0.699 a 0.487 a
A + AA 0.792a 0.706a 0.534a 0.799a 0.685ab 0.476ab
A + AD 0.790a 0.702a 0.526a 0.799a 0.677b 0.457b
A + D+AA 0.794a 0.714a 0.54a 0.803a 0.694ab 0.483a
A + D+AD 0.794a 0.705a 0.537a 0.803a 0.679b 0.475ab
A + D+AA + AD 0.793a 0.712a 0.539a 0.803a 0.690ab 0.483a
RKHS 0.791a 0.708a 0.539a 0.802a 0.683ab 0.484a
  1. 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