Table 2. Variance components estimates (posterior standard deviation) derived from BayesB model for late blight and common scab resistance by model. Phenotypic scores were standardized to unit variance; hence estimates can be interpreted as the proportion of variance explained by each component. Results obtained with the fully Gaussian model (BRR) are presented in Table S2.
Model # (label)a | Year | Genetic | Genotype-by-yearg | Error | |||||
---|---|---|---|---|---|---|---|---|---|
Genotype | Marker-derived | Total geneticf | |||||||
PCb | Additivec | Dominanced | Generale | ||||||
Late blight | |||||||||
M1 | 0.266 (0.021) | 0.735 (0.025) | |||||||
M2 | 0.256 (0.014) | 0.434 (0.018) | 0.434 (0.018) | 0.303 (0.011) | |||||
M3 | 0.250 (0.027) | 0.340 (0.031) | 0.340 (0.031) | 0.253 (0.019) | 0.144 (0.006) | ||||
M4 | 0.244 (0.026) | 0.265 (0.028) | 0.096 (0.024) | 0.351 (0.032) | 0.251 (0.018) | 0.144 (0.006) | |||
M5 (A) | 0.240 (0.027) | 0.135 (0.069) | 0.292 (0.051) | 0.330 (0.035) | 0.275 (0.020) | 0.144 (0.006) | |||
M6 (A+D) | 0.240 (0.027) | 0.135 (0.062) | 0.166 (0.063) | 0.141 (0.049) | 0.340 (0.034) | 0.267 (0.020) | 0.144 (0.006) | ||
M7 (G) | 0.249 (0.028) | 0.107 (0.043) | 0.280 (0.034) | 0.352 (0.033) | 0.251 (0.019) | 0.144 (0.006) | |||
Common Scab | |||||||||
M1 | 0.033 (0.006) | 0.971 (0.022) | |||||||
M2 | 0.030 (0.004) | 0.456 (0.016) | 0.456 (0.016) | 0.523 (0.012) | |||||
M3 | 0.029 (0.005) | 0.440 (0.021) | 0.440 (0.021) | 0.059 (0.009) | 0.483 (0.013) | ||||
M4 | 0.029 (0.006) | 0.419 (0.021) | 0.030 (0.012) | 0.447 (0.023) | 0.056 (0.009) | 0.485 (0.013) | |||
M5 (A) | 0.031 (0.006) | 0.132 (0.087) | 0.507 (0.076) | 0.443 (0.025) | 0.061 (0.009) | 0.485 (0.013) | |||
M6 (A+D) | 0.031 (0.006) | 0.107 (0.073) | 0.356 (0.087) | 0.151 (0.060) | 0.448 (0.024) | 0.057 (0.009) | 0.485 (0.013) | ||
M7 (G) | 0.031 (0.006) | 0.051 (0.030) | 0.442 (0.031) | 0.451 (0.023) | 0.056 (0.009) | 0.484 (0.013) |
M1-M7 are model numbers (label). The effects included in each of them are described in the columns.
Principal components, clinear regression on allele content (0/1/2/3/4), dSimple dominance (1 degree of freedom per locus representing heterozygous) and eGeneral model for additive + dominance (with up to 4 degrees of freedom per locus). fTotal genetic variance, gGenotype-by-year interaction.