Genome-wide prediction of complex traits has become increasingly important in animal and
plant breeding, and is receiving increasing attention in human genetics. Most common …

The impact of extent of genetic relatedness on accuracy of genome-enabled predictions was
assessed using a dairy cattle population and alternative cross-validation (CV) strategies …

Background Transforming large amounts of genomic data into valuable knowledge for
predicting complex traits has been an important challenge for animal and plant breeders …

Prediction of genetic values has been a focus of applied quantitative genetics since the
beginning of the 20th century, with renewed interest following the advent of the era of whole …

Genomic-enabled prediction is becoming increasingly important in animal and plant
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …

Background Genomic selection has gained much attention and the main goal is to increase
the predictive accuracy and the genetic gain in livestock using dense marker information …

Background Recently, artificial neural networks (ANN) have been proposed as promising
machines for marker-based genomic predictions of complex traits in animal and plant …

The usefulness of genomic prediction in crop and livestock breeding programs has
prompted efforts to develop new and improved genomic prediction algorithms, such as …

Background Currently, genomic prediction in cattle is largely based on panels of about 54k
single nucleotide polymorphisms (SNPs). However with the decreasing costs of and current …

Machine learning (ML) is perhaps the most useful tool for the interpretation of large genomic
datasets. However, the performance of a single machine learning method in genomic …