Submitted to: Plant and Animal Genome Conference Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: November 1, 2010
Publication Date: January 1, 2011
Citation: Rempel, L.A., Wiedmann, R.T., Nonneman, D.J., Rohrer, G.A. 2011. QTL associations for weaning-to-estrus interval in a Landrace-Duroc-Yorkshire swine population [abstract]. Plant and Animal Genome Conference Proceedings. (XIX Conference):Abstract P607. Technical Abstract: Weaning-to-estrus interval (WEI) contributes to number of non-productive days of females within a breeding herd. Several reports have indicated females returning to estrus within seven days of weaning are more likely to settle on service thereby contributing to the overall economic potential of the herd. As WEI is a complex trait that can be influenced by numerous variables, identifying regions of interest in the genome to direct functional studies would contribute greatly to understanding the genetic components influencing WEI. In the current study, 803 Landrace-Duroc-Yorkshire females with WEI data from 0 to 14 days post-weaning were genotyped using the Porcine 60K SNP Beadchip. Available sires and dams with genotype data were included in the analyses. Whole genome association analyses were performed using PLINK. Corrected thresholds were established by adjusting significance of 0.05 for the number of SNP markers analyzed on a chromosome. Nine QTL regions approaching or surpassing threshold levels were identified on seven chromosomes. Two solitary markers, one on SSC3 near 33.4 Mb and another on SSC11 around 48.3 Mb, had significant associations and minor allele frequencies of approximately 30%. A series of markers on SSC4 near 9 Mb, SSC5 around 16.4 Mb, and SSCX at 21 and 89 Mb approached significance. Two regions on SSC1 near 135 and 282 Mb and a large segment on SSC7 from 60-80 Mb were associated with WEI. Future interrogation of these genetic regions using additional populations as well as sequencing will provide additional data to aid in experimental study and management decisions.