Table 4 Heritabilities (h2) and matrix with the effective number of entries (underlined diagonal values) for outlier-and-experiment-design-corrected yellow rust (Puccinia striiformis f. sp. tritici) infections scored in 12 experiments of a large-scale screening and seven precision experiments as well as the significant correlations (p-value < 0.05, above diagonal) and number of overlapping entries (below diagonal) among them.
Experimenta | Typeb | Large-scale screening | Precision experiments | |||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Experiment | GAT_2014_1 | SST_2014_1 | GAT_2014_2 | GAT_2015_2 | SST_2015_2 | GAT_2015_3 | GAT_2016_3 | GAT_2017_3 | GAT_2017_5 | SST_2018_5 | GAT_2019_6 | SST_2019_6 | GAT_YR_2018 | ROS_YR_2018 | WTZ_YR_2018 | GAT_YR_2019 | QLB_YR_2019 | ROS_YR_2019 | WTZ_YR_2019 | |||||||||||
Type | 1x | 1x | 1x | 1x | 1x | 1x | 1x | 1x | 1x | 1x | M:2x | 1x | E | L | M:2x | 1x | E | L | M:2x | E | L | M:2x | E | L | M:2x | 1x | 1x | |||
h2 | ||||||||||||||||||||||||||||||
Large-scale screening | GAT_2014_1 | 1x | 0.86 | 1514 | 0.76 | 0.85 | 0.79 | 0.71 | 0.87 | 0.51 | — | — | — | — | — | 0.65 | 0.63 | 0.67 | 0.74 | 0.68 | 0.64 | 0.64 | 0.53 | 0.55 | 0.54 | 0.57 | 0.54 | 0.58 | 0.69 | 0.70 |
SST_2014_1 | 1x | 0.84 | 1491 | 1514 | 0.79 | 0.54 | 0.60 | 0.73 | 0.53 | 0.64 | — | — | — | — | 0.62 | 0.61 | 0.65 | 0.62 | 0.72 | 0.68 | 0.68 | 0.50 | 0.54 | 0.54 | 0.51 | 0.50 | 0.55 | 0.72 | 0.69 | |
GAT_2014_2 | 1x | 0.88 | 14 | 13 | 1544 | 0.60 | 0.70 | 0.84 | 0.78 | 0.65 | — | — | — | — | 0.55 | 0.49 | 0.51 | 0.59 | 0.59 | 0.60 | 0.60 | 0.51 | 0.49 | 0.50 | 0.34 | 0.42 | 0.44 | 0.64 | 0.63 | |
GAT_2015_2 | 1x | 0.79 | 15 | 14 | 1502 | 1516 | 0.69 | 0.67 | 0.92 | 0.72 | — | — | — | — | 0.54 | 0.47 | 0.48 | 0.51 | 0.47 | 0.54 | 0.54 | 0.48 | 0.49 | 0.50 | 0.29 | 0.40 | 0.40 | 0.53 | 0.53 | |
SST_2015_2 | 1x | 0.83 | 15 | 14 | 1453 | 1444 | 1467 | 0.76 | 0.51 | — | — | — | — | — | 0.50 | 0.46 | 0.47 | 0.50 | 0.64 | 0.57 | 0.57 | 0.42 | 0.44 | 0.44 | 0.34 | 0.38 | 0.40 | 0.62 | 0.64 | |
GAT_2015_3 | 1x | 0.90 | 14 | 14 | 12 | 13 | 13 | 1579 | 0.76 | 0.75 | — | — | — | 0.55 | — | 0.52 | 0.52 | — | — | — | — | — | 0.54 | 0.56 | 0.61 | — | 0.59 | — | 0.54 | |
GAT_2016_3 | 1x | 0.90 | 17 | 16 | 18 | 19 | 19 | 1525 | 1560 | — | 0.39 | — | 0.55 | 0.68 | 0.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
GAT_2017_3 | 1x | 0.86 | 16 | 15 | 18 | 19 | 19 | 1504 | 1512 | 1539 | 0.58 | — | — | 0.49 | — | — | — | 0.40 | — | — | — | — | — | — | 0.50 | 0.55 | 0.52 | 0.40 | 0.60 | |
GAT_2017_5 | 1x | 0.76 | 7 | 7 | 5 | 6 | 6 | 24 | 26 | 24 | 1395 | 0.34 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 0.50 | — | |
SST_2018_5 | 1x | 0.54 | 7 | 7 | 5 | 6 | 6 | 23 | 25 | 23 | 1363 | 1415 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
GAT_2019_6 | M:2x | 0.74 | 8 | 8 | 4 | 5 | 5 | 20 | 22 | 20 | 23 | 23 | 1667 | 0.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
SST_2019_6 | 1x | — | 8 | 8 | 4 | 5 | 5 | 21 | 23 | 21 | 24 | 24 | 1641 | 1669 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
Precision experiments | GAT_YR_2018 | E | 0.91 | 282 | 282 | 330 | 331 | 319 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 779 | 0.80 | 0.88 | 0.67 | 0.50 | 0.59 | 0.59 | 0.70 | 0.76 | 0.76 | 0.52 | 0.53 | 0.55 | 0.61 | 0.61 |
L | 0.81 | 286 | 286 | 331 | 332 | 320 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 773 | 784 | 0.97 | 0.65 | 0.48 | 0.56 | 0.56 | 0.62 | 0.69 | 0.69 | 0.48 | 0.48 | 0.50 | 0.59 | 0.60 | ||
M:2x | — | 280 | 280 | 327 | 328 | 316 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 773 | 773 | 773 | 0.67 | 0.51 | 0.58 | 0.58 | 0.66 | 0.73 | 0.73 | 0.52 | 0.53 | 0.55 | 0.61 | 0.63 | ||
ROS_YR_2018 | 1x | 0.91 | 259 | 259 | 302 | 303 | 292 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 704 | 709 | 698 | 722 | 0.61 | 0.63 | 0.63 | 0.48 | 0.53 | 0.52 | 0.53 | 0.56 | 0.58 | 0.71 | 0.70 | |
WTZ_YR_2018 | E | 0.89 | 287 | 287 | 334 | 335 | 323 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 771 | 776 | 765 | 715 | 789 | 0.69 | 0.69 | 0.40 | 0.45 | 0.45 | 0.48 | 0.51 | 0.54 | 0.72 | 0.77 | |
L | 0.88 | 285 | 286 | 328 | 329 | 317 | 19 | 25 | 25 | 16 | 15 | 14 | 14 | 756 | 761 | 750 | 703 | 768 | 775 | 1.00 | 0.48 | 0.54 | 0.54 | 0.44 | 0.47 | 0.50 | 0.72 | 0.69 | ||
M:2x | — | 282 | 283 | 324 | 325 | 313 | 19 | 25 | 25 | 16 | 15 | 14 | 14 | 750 | 755 | 744 | 697 | 768 | 768 | 768 | 0.48 | 0.54 | 0.54 | 0.44 | 0.47 | 0.50 | 0.72 | 0.69 | ||
GAT_YR_2019 | E | 0.77 | 286 | 284 | 334 | 335 | 323 | 18 | 25 | 25 | 14 | 13 | 13 | 13 | 764 | 769 | 758 | 709 | 774 | 759 | 753 | 782 | 0.73 | 0.74 | 0.44 | 0.49 | 0.51 | 0.51 | 0.48 | |
L | 0.85 | 285 | 285 | 332 | 333 | 321 | 19 | 26 | 26 | 15 | 14 | 13 | 13 | 766 | 771 | 760 | 708 | 776 | 761 | 755 | 771 | 784 | 1.00 | 0.47 | 0.52 | 0.53 | 0.54 | 0.56 | ||
M:2x | — | 281 | 279 | 328 | 329 | 317 | 18 | 25 | 25 | 14 | 13 | 13 | 13 | 753 | 758 | 747 | 698 | 763 | 748 | 742 | 771 | 771 | 771 | 0.47 | 0.51 | 0.52 | 0.53 | 0.55 | ||
QLB_YR_2019 | E | — | 289 | 289 | 338 | 339 | 327 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 777 | 782 | 771 | 720 | 788 | 773 | 767 | 780 | 782 | 769 | 797 | 0.70 | 0.79 | 0.55 | 0.54 | |
L | — | 289 | 289 | 338 | 339 | 327 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 777 | 782 | 771 | 720 | 788 | 773 | 767 | 780 | 782 | 769 | 797 | 797 | 0.97 | 0.58 | 0.57 | ||
M:2x | — | 289 | 289 | 338 | 339 | 327 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 777 | 782 | 771 | 720 | 788 | 773 | 767 | 780 | 782 | 769 | 797 | 797 | 797 | 0.62 | 0.61 | ||
ROS_YR_2019 | 1x | 0.92 | 283 | 283 | 335 | 336 | 324 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 766 | 771 | 760 | 713 | 777 | 764 | 757 | 769 | 771 | 758 | 784 | 784 | 784 | 787 | 0.84 | |
WTZ_YR_2019 | 1x | 0.92 | 281 | 281 | 332 | 333 | 322 | 19 | 26 | 26 | 16 | 15 | 14 | 14 | 760 | 765 | 754 | 706 | 771 | 757 | 750 | 763 | 765 | 752 | 778 | 778 | 778 | 772 | 780 |