Additional file 1 of Integration of beef cattle international pedigree and genomic estimated breeding values into national evaluations, with an application to the Italian Limousin population
Creators: name: Bonifazi, Renzo
name: Calus, Mario P. L.
name: ten Napel, Jan
name: Veerkamp, Roel F.
name: Biffani, Stefano
name: Cassandro, Martino
name: Savoia, Simone
name: Vandenplas, Jérémie
Publisher: name: figshare
Year: 2023
Subjects: subject: Biophysics
subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer
subject: Computational Biology

description: Additional file 1: Table S1. Phenotypic distribution of AWW per country for males and females. Table S2. List of environmental effects in each national model. Table S3. Direct and maternal genetic covariances (below diagonal), genetic variances (diagonal) and genetic correlations (above diagonal) within and across countries. Table S4. National genetic, environmental, and residual variances. Table S5. Number of phenotypes and genotypes per country used in the implemented scenarios. Table S6. Distribution of adjusted de-regressed effective record contribution (dERC*) for direct and maternal EBV of publishable sires, from either pedigree-based or single-step international evaluations. Table S7. Comparison of direct and maternal EBV for all animals in the Italian pseudo-national pedigree between NATAPR and BLENDAPR integrating EBV from pedigree-based international evaluations. Table S8. Comparison of direct and maternal EBV for all animals in the Italian pseudo-national pedigree between NATAPR and BLENDAPR integrating EBV from single-step international evaluations. Table S9. Validation of the scenarios’ adequacy for direct and maternal EBV of genotyped and non-genotyped foreign publishable sires when EBVINT are computed using single-step international evaluations. Table S10. Validation of the scenarios’ predictivity for direct EBV of offspring of publishable sires and for maternal EBV of daughters of MGS with publishable EBV when international information are integrated on Scenario NATJAN and EBVINT are computed using pedigree-based international evaluations. Table S11. Validation of the scenarios’ predictivity for direct EBV of offspring of publishable sires and for maternal EBV of daughters of MGS with publishable EBV when international information are integrated on Scenario NATJAN and EBVINT are computed using single-step international evaluations. Table S12. Validation of the GOLD scenario’s adequacy for direct and maternal EBV of publishable sires when EBVINT are computed using pedigree-based international evaluations. Table S13. Validation of the GOLD scenario’s predictivity for direct EBV of offspring of publishable sires and for maternal EBV of daughters of MGS with publishable EBV when EBVINT are computed using pedigree-based international evaluations. Table S14. Validation of the GOLD scenario’s adequacy for direct and maternal EBV of publishable sires when EBVINT are computed using single-step international evaluations. Table S15. Validation of the GOLD scenario’s predictivity for direct EBV of offspring of publishable sires and for maternal EBV of daughters of MGS with publishable EBV when EBVINT are computed using single-step international evaluations.