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Accelerating Tomato Breeding by Exploiting Genomic Selection Approaches

Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Naples, Italy
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Plants 2020, 9(9), 1236; https://doi.org/10.3390/plants9091236
Received: 15 April 2020 / Revised: 13 May 2020 / Accepted: 15 September 2020 / Published: 18 September 2020
(This article belongs to the Special Issue Molecular Breeding in Horticultural Plants)
Genomic selection (GS) is a predictive approach that was built up to increase the rate of genetic gain per unit of time and reduce the generation interval by utilizing genome-wide markers in breeding programs. It has emerged as a valuable method for improving complex traits that are controlled by many genes with small effects. GS enables the prediction of the breeding value of candidate genotypes for selection. In this work, we address important issues related to GS and its implementation in the plant context with special emphasis on tomato breeding. Genomic constraints and critical parameters affecting the accuracy of prediction such as the number of markers, statistical model, phenotyping and complexity of trait, training population size and composition should be carefully evaluated. The comparison of GS approaches for facilitating the selection of tomato superior genotypes during breeding programs is also discussed. GS applied to tomato breeding has already been shown to be feasible. We illustrated how GS can improve the rate of gain in elite line selection, and descendent and backcross schemes. The GS schemes have begun to be delineated and computer science can provide support for future selection strategies. A new promising breeding framework is beginning to emerge for optimizing tomato improvement procedures. View Full-Text
Keywords: tomato; genetic breeding value; training population; genotyping; marker effect; phenotyping; selection schemes tomato; genetic breeding value; training population; genotyping; marker effect; phenotyping; selection schemes
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Cappetta, E.; Andolfo, G.; Di Matteo, A.; Barone, A.; Frusciante, L.; Ercolano, M.R. Accelerating Tomato Breeding by Exploiting Genomic Selection Approaches. Plants 2020, 9, 1236.

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