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ABSTRACT

Genomic selection accelerates the breeding effort and improves genetic gain by selecting superior genotypes based on genome-wide predictions. Whole-genome prediction models, which estimate all marker effects across all loci, are able to capture the minor quantitative trait loci (QTL) effects. Genomic selection (GS) coupled with speed breeding has much scope for increasing the effectiveness of selection by shortening the breeding cycle especially, in case of perennial crops. In order to calculate genomic-estimated breeding values (GEBVs) for each genotype of the breeding population (BP) from their genotyping scores, GS combines the genotyping and phenotyping datasets of the training population (TP). GS is beneficial to achieve a larger genetic gain per unit of time.

 

Keywords: Genetic gain, speed breeding, selection, prediction models, breeding value

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8. Genomic selection_role of genome-wide prediction and speed breeding in improving genetic gain (42-44)_compressed (1).pdf