HIGHLIGHTS
- who: Tiezzi et al. from the (UNIVERSITY) have published the research: Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix, in the Journal: (JOURNAL)
- what: The authors investigate the performance of using a weighted genomic relationship matrix (wG) that takes into consideration the genetic architecture of the trait to improve predictive ability for a wide range of traits. In the current study, three different weighting methods were compared to the traditional genomic matrix and pedigree-derived matrix. In genomic predictions, an additive polygenic effect is often considered . . .
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