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Table 2 Genomic relationship matrix (G) calculated and employed in the prediction of calving difficulty

From: Including gene networks to predict calving difficulty in Holstein, Brown Swiss and Jersey cattle

Model/G BASE TOP25 BOT75 NET CONN FREE
Model-1 X . . . . .
Model-2 . X . . . .
Model-3 . X X . . .
Model-4 . . . X . .
Model-5 . . . X . X
Model-6 . . . . X .
Model-7 . . . . X X
  1. BASE was a general genomic relationship matrix was used as reference method and built on the whole set of markers. Markers were then gathered if ranking among the top 25% for proportion of genetic variance explained for at least three of the six traits considered, a genomic relationship matrix was built on these markers (TOP25) as well as on the remaining markers (BOT75). A genomic relationship matrix was constructed by including only the markers that were in proximity of a gene and therefore included in the network (NET) or all the remaining markers (FREE). Matrix CONN included NET markers also accounting for AWM correlations among markers (genes)