A review of deep learning applications for genomic selection

OA Montesinos-López, A Montesinos-López… - BMC genomics, 2021 - Springer
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

Genomic selection in plant breeding: from theory to practice

JL Jannink, AJ Lorenz, H Iwata - Briefings in functional …, 2010 - academic.oup.com
We intuitively believe that the dramatic drop in the cost of DNA marker information we have
experienced should have immediate benefits in accelerating the delivery of crop varieties …

[HTML][HTML] Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score

J Spindel, H Begum, D Akdemir, P Virk, B Collard… - PLoS …, 2015 - journals.plos.org
Genomic Selection (GS) is a new breeding method in which genome-wide markers are used
to predict the breeding value of individuals in a breeding population. GS has been shown to …

The impact of genetic architecture on genome-wide evaluation methods

HD Daetwyler, R Pong-Wong, B Villanueva… - Genetics, 2010 - academic.oup.com
The rapid increase in high-throughput single-nucleotide polymorphism data has led to a
great interest in applying genome-wide evaluation methods to identify an individual's …

Genomic selection in plant breeding: a comparison of models

N Heslot, HP Yang, ME Sorrells, JL Jannink - Crop science, 2012 - Wiley Online Library
Simulation and empirical studies of genomic selection (GS) show accuracies sufficient to
generate rapid genetic gains. However, with the increased popularity of GS approaches …