Model^{a} | ||||||
---|---|---|---|---|---|---|

Trait–environment | P | M-RKHS | PM-RKHS | M-BL | PM-BL | BLUP^{b} |

Correlation | ||||||

GY-E1 | 0.448 | 0.601 | 0.608 | 0.518 | 0.542 | 0.480 |

GY-E2 | 0.417 | 0.494 | 0.497 | 0.493 | 0.501 | 0.488 |

GY-E3 | 0.417 | 0.445 | 0.478 | 0.403 | 0.449 | 0.355 |

GY-E4 | 0.449 | 0.524 | 0.524 | 0.457 | 0.495 | 0.464 |

% change (relative to P) | ||||||

GY-E1 | — | 34.2 | 35.7 | 15.6 | 21.0 | 7.1 |

GY-E2 | — | 18.5 | 19.2 | 18.2 | 20.1 | 17.0 |

GY-E3 | — | 6.7 | 14.6 | −3.4 | 7.7 | −14.9 |

GY-E4 | — | 16.7 | 16.7 | 1.8 | 10.2 | 3.3 |

Six models were fitted to GY measured in four environments (E1, E2, E3, and E4).

↵

*a*Models were pedigree model (P), molecular marker model using reproducing kernel Hilbert space (M-RKHS) regression, pedigree plus molecular marker model using reproducing kernel Hilbert space regression (PM-RKHS), molecular marker regression model using the Bayesian LASSO (M-BL), pedigree plus molecular marker model regression using the Bayesian LASSO (PM-BL), and best linear unbiased prediction (BLUP) using marker genotypes.↵

*b*Values of genetic variances used to compute BLUP ranged from 0.8065 to 0.9141.