Author:
Civan Peter,Rincent Renaud,Danguy-Des-Deserts Alice,Elsen Jean-Michel,Bouchet Sophie
Abstract
AbstractThe breeding efforts of the twentieth century contributed to large increases in yield but selection may have increased vulnerability to environmental perturbations. In that context, there is a growing demand for methodology to re-introduce useful variation into cultivated germplasm. Such efforts can focus on the introduction of specific traits monitored through diagnostic molecular markers identified by QTL/association mapping or selection signature screening. A combined approach is to increase the global diversity of a crop without targeting any particular trait.A considerable portion of the genetic diversity is conserved in genebanks. However, benefits of genetic resources (GRs) in terms of favorable alleles have to be weighed against unfavorable traits being introduced along. In order to facilitate utilization of GR, core collections are being identified and progressively characterized at the phenotypic and genomic levels. High-throughput genotyping and sequencing technologies allow to build prediction models that can estimate the genetic value of an entire genotyped collection. In a pre-breeding program, predictions can accelerate recurrent selection using rapid cycles in greenhouses by skipping some phenotyping steps. In a breeding program, reduced phenotyping characterization allows to increase the number of tested parents and crosses (and global genetic variance) for a fixed budget. Finally, the whole cross design can be optimized using progeny variance predictions to maximize short-term genetic gain or long-term genetic gain by constraining a minimum level of diversity in the germplasm. There is also a potential to further increase the accuracy of genomic predictions by taking into account genotype by environment interactions, integrating additional layers of omics and environmental information.Here, we aim to review some relevant concepts in population genomics together with recent advances in quantitative genetics in order to discuss how the combination of both disciplines can facilitate the use of genetic diversity in plant (pre) breeding programs.
Publisher
Springer International Publishing
Reference425 articles.
1. Adam-Blondon A-F, Alaux M, Pommier C, Cantu D, Cheng Z-M, Cramer GR, et al. Towards an open grapevine information system. Hortic Res. 2016;3(1):1–8.
2. Akakpo R, Scarcelli N, Dansi A, Djedatin G, Thuillet A-C, Rhoné B, et al. Molecular basis of African yam domestication: analyses of selection point to root development, starch biosynthesis, and photosynthesis related genes. BMC Genomics. 2017;18(1):782.
3. Akdemir D, Isidro-Sánchez J. Efficient breeding by genomic mating. Front Genet. 2016;7:210.
4. Akdemir D, Isidro-Sánchez J. Design of training populations for selective phenotyping in genomic prediction. Sci Rep. 2019;9(1):1–15.
5. Akdemir D, Beavis W, Fritsche-Neto R, Singh AK, Isidro-Sánchez J. Multi-objective optimized genomic breeding strategies for sustainable food improvement. Heredity. 2018;122(5):672–83.
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