Table 1 Data set information and animal model results for autosomal crossover count (ACC). Numbers in parentheses are the standard error, except for Mean, which is the standard deviation. 
and are the number of ACC measures, the number of focal individuals (FIDS) and the total number of crossovers in the dataset. The mean ACC was calculated from the raw data. and are the phenotypic variance and additive genetic variance, respectively. and are the narrow-sense heritability, the permanent environment effect, and the residual effect, respectively; all are calculated as the proportion of that they explain. The additive genetic components were modeled using genomic relatedness matrices. is the significance of the term in the model as determined using a likelihood ratio test
and 
are the number of ACC measures, the number of focal individuals (FIDS) and the total number of crossovers in the dataset. The mean ACC was calculated from the raw data. 
and 
are the phenotypic variance and additive genetic variance, respectively. 
and 
are the narrow-sense heritability, the permanent environment effect, and the residual effect, respectively; all are calculated as the proportion of 
that they explain. The additive genetic components were modeled using genomic relatedness matrices. 
is the significance of the 
term in the model as determined using a likelihood ratio test| Analysis |  |  | Mean |  |  |  |  |  |  |  |
|---|---|---|---|---|---|---|---|---|---|---|
| Both | 1341 | 337 | 25.03 (5.49) | 34911 | 26.42 (1.17) | 3.46 (1.34) | 0.13 (0.05) | 0.05 (0.04) | 0.82 (0.03) | 0.002 |
| Females | 859 | 256 | 26.62 (5.62) | 24025 | 32.02 (1.67) | 3.46 (1.87) | 0.11 (0.06) | 0.05 (0.05) | 0.84 (0.04) | 0.033 |
| Males | 482 | 81 | 22.21 (3.88) | 10886 | 15.33 (1.09) | 1.03 (1.66) | 0.07 (0.11) | 0.06 (0.1) | 0.87 (0.05) | 0.554 |