TABLE 7.
Genetic parameters [heritability as broad sense heritability (H2) and genotypic values (best linear unbiased predictors)] of micronutrient densities (Fe and Zn) and fruit yield created from a linear fully randomized model on a yearly basis.
| Fe density (mg 100 g–1 FW) | Zn density (mg 100 g–1 FW) | Fruit yield (kg/pooled rep) | ||||
| 2015 | 2016 | 2015 | 2016 | 2015 | 2016 | |
| H (broad sense) | 0.24 | 0.31 | 0.21 | 0.43 | 0.86 | 0.95 |
| Grand mean (±standard error) | 0.54 (±0.04) | 0.70 (±0.05) | 0.35 (±0.03) | 0.25 (±0.01) | 3.52 (±0.29) | 3.87 (±0.28) |
| Spearman’s rank correlation rho | 0.52 p-value = 0.02098 | 0.64 p-value = 0.002778 | 0.88 p-value < 2.2e-16 | |||
| Pearson’s correlation | 0.49 p-value = 0.02709 | 0.66 p-value = 0.001582 | 0.95 p-value = 2.582e-10 | |||
| Cultivar = genotype | Genotypic value | Mean (predicted) | Rank | Genotypic value | Mean (predicted) | Rank | Genotypic value | Mean (predicted) | Rank | Genotypic value | Mean (predicted) | Rank | Genotypic value | Mean (predicted) | Rank | Genotypic value | Mean (predicted) | Rank |
| Amoroso F1 | 0.036 | 0.574 | 7 | −0.050 | 0.646 | 13 | 0.004 | 0.351 | 10 | −0.020 | 0.228 | 13 | −0.454 | 3.065 | 14 | −0.054 | 3.814 | 9 |
| Annamay F1 | 0.000 | 0.539 | 10 | −0.034 | 0.662 | 12 | 0.099 | 0.447 | 4 | −0.002 | 0.246 | 11 | −0.222 | 3.297 | 11 | 0.209 | 4.077 | 6 |
| Auriga | −0.097 | 0.442 | 18 | −0.092 | 0.604 | 15 | −0.083 | 0.264 | 17 | −0.025 | 0.223 | 15 | −0.209 | 3.310 | 10 | −0.373 | 3.495 | 14 |
| Bartelly F1 | −0.006 | 0.533 | 11 | 0.100 | 0.796 | 4 | 0.016 | 0.363 | 9 | 0.057 | 0.305 | 3 | 0.357 | 3.876 | 6 | 0.386 | 4.254 | 5 |
| Benarys Gartenfreude | −0.014 | 0.525 | 12 | 0.302 | 0.998 | 1 | 0.027 | 0.374 | 8 | 0.086 | 0.333 | 1 | −0.889 | 2.630 | 17 | −0.803 | 3.065 | 18 |
| Black Cherry | 0.006 | 0.545 | 9 | 0.075 | 0.771 | 8 | −0.008 | 0.340 | 11 | 0.035 | 0.283 | 6 | −0.408 | 3.111 | 12 | −0.678 | 3.190 | 17 |
| Bocati F1 | −0.086 | 0.452 | 15 | −0.199 | 0.497 | 20 | −0.088 | 0.260 | 18 | −0.082 | 0.166 | 20 | 2.192 | 5.711 | 1 | 1.588 | 5.456 | 4 |
| Campari F1 | −0.083 | 0.456 | 14 | 0.068 | 0.764 | 9 | −0.071 | 0.277 | 16 | 0.019 | 0.267 | 8 | 0.047 | 3.566 | 8 | 0.003 | 3.871 | 8 |
| Cappricia F1 | −0.149 | 0.389 | 20 | −0.168 | 0.529 | 17 | −0.101 | 0.247 | 20 | −0.064 | 0.184 | 18 | 1.845 | 5.364 | 3 | 1.879 | 5.747 | 3 |
| Goldita | 0.094 | 0.633 | 3 | 0.099 | 0.795 | 5 | 0.115 | 0.463 | 1 | 0.017 | 0.265 | 9 | −1.523 | 1.996 | 19 | −1.537 | 2.331 | 19 |
| Green Zebra | 0.028 | 0.567 | 8 | −0.140 | 0.556 | 16 | −0.036 | 0.312 | 13 | −0.052 | 0.196 | 16 | −0.637 | 2.882 | 15 | −0.330 | 3.538 | 13 |
| Harzfeuer F1 | −0.095 | 0.444 | 17 | −0.021 | 0.675 | 11 | −0.068 | 0.280 | 14 | −0.019 | 0.228 | 12 | 0.850 | 4.369 | 5 | −0.233 | 3.635 | 11 |
| Lyterno F1 | −0.081 | 0.458 | 13 | −0.185 | 0.511 | 18 | −0.069 | 0.279 | 15 | −0.062 | 0.186 | 17 | 1.511 | 5.029 | 4 | 2.047 | 5.915 | 1 |
| Primabella | 0.210 | 0.749 | 2 | 0.024 | 0.720 | 10 | 0.039 | 0.387 | 6 | 0.015 | 0.263 | 10 | −1.008 | 2.511 | 18 | −0.426 | 3.442 | 15 |
| Primavera | 0.076 | 0.615 | 5 | 0.076 | 0.772 | 7 | 0.103 | 0.451 | 2 | 0.035 | 0.283 | 7 | 0.125 | 3.644 | 7 | 0.141 | 4.009 | 7 |
| Resi | 0.222 | 0.760 | 1 | 0.168 | 0.864 | 2 | 0.103 | 0.451 | 3 | 0.050 | 0.297 | 4 | −2.421 | 1.098 | 20 | −2.562 | 1.306 | 20 |
| Roterno F1 | −0.108 | 0.431 | 19 | −0.193 | 0.504 | 19 | −0.096 | 0.252 | 19 | −0.067 | 0.181 | 19 | 2.175 | 5.694 | 2 | 1.929 | 5.797 | 2 |
| Sakura F1 | −0.095 | 0.444 | 16 | 0.081 | 0.777 | 6 | −0.009 | 0.339 | 12 | 0.046 | 0.294 | 5 | −0.409 | 3.110 | 13 | −0.329 | 3.539 | 12 |
| Supersweet 100 F1 | 0.093 | 0.632 | 4 | 0.156 | 0.852 | 3 | 0.084 | 0.432 | 5 | 0.057 | 0.305 | 2 | −0.886 | 2.633 | 16 | −0.660 | 3.208 | 16 |
| Tastery F1 | 0.051 | 0.589 | 6 | −0.066 | 0.630 | 14 | 0.039 | 0.387 | 7 | −0.024 | 0.224 | 14 | −0.035 | 3.484 | 9 | −0.198 | 3.670 | 10 |
The genotypic values were ranked for single years, and correlations between both years were calculated. *Could not estimate Pooled Rep cause of singularity but we kept it in the model. After checking, it did not change the model results.