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Genomic selection (GS) is a marker-assisted selection approach to enhance quantitative traits in breeding population in which whole genome single-nucleotide polymorphisms (SNPs) markers can be used to predict breeding values (BV). GS has been proved to increase breeding efficiency in both plant and animal breeding, such as dairy cattle, pig, rice, soybean and loblolly pine. Here, we propose a deep-learning...
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