Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2013 Nov 17:2013:585467.
doi: 10.1155/2013/585467.

Emerging paradigms in genomics-based crop improvement

Affiliations
Review

Emerging paradigms in genomics-based crop improvement

Abhishek Bohra. ScientificWorldJournal. .

Abstract

Next generation sequencing platforms and high-throughput genotyping assays have remarkably expedited the pace of development of genomic tools and resources for several crops. Complementing the technological developments, conceptual shifts have also been witnessed in designing experimental populations. Availability of second generation mapping populations encompassing multiple alleles, multiple traits, and extensive recombination events is radically changing the phenomenon of classical QTL mapping. Additionally, the rising molecular breeding approaches like marker assisted recurrent selection (MARS) that are able to harness several QTLs are of particular importance in obtaining a "designed" genotype carrying the most desirable combinations of favourable alleles. Furthermore, rapid generation of genome-wide marker data coupled with easy access to precise and accurate phenotypic screens enable large-scale exploitation of LD not only to discover novel QTLs via whole genome association scans but also to practise genomic estimated breeding value (GEBV)-based selection of genotypes. Given refinements being experienced in analytical methods and software tools, the multiparent populations will be the resource of choice to undertake genome wide association studies (GWAS), multiparent MARS, and genomic selection (GS). With this, it is envisioned that these high-throughput and high-power molecular breeding methods would greatly assist in exploiting the enormous potential underlying breeding by design approach to facilitate accelerated crop improvement.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Schematic representation of genomics assisted crop improvement. ∗DH: Double haploid; BC: Backcross population; RIL: Recombinant inbred line; AIL: Advanced intercross line; HIF: Heterogeneous inbred family; NIL: Near isogenic line; BIL: Backcross inbred line; IL: Introgression line; CSSL: Chromosome segment substitution line; HS: Heterogeneous stocks; NAM: Nested association mapping; MAGIC: Multiparent advanced generation intercross; MAS: Marker assisted selection; MABC: Marker assisted backcrossing; MARS: Marker assisted recurrent selection; GWAS: Genome-wide association study; GS: Genomic selection.

Similar articles

Cited by

References

    1. Moose SP, Mumm RH. Molecular plant breeding as the foundation for 21st century crop improvement. Plant Physiology. 2008;147(3):969–977. - PMC - PubMed
    1. Varshney RK, Ribaut JM, Buckler ES, Tuberosa R, Rafalski JA, Langridge P. Can genomics boost productivity of orphan crops. Nature Biotechnology. 2012;30(12):1172–1176. - PubMed
    1. Grodzicker T, Williams J, Sharp P, Sambrook J. Physical mapping of temperature sensitive mutations of adenoviruses. Cold Spring Harbor Symposia on Quantitative Biology. 1975;39(1):439–446. - PubMed
    1. Chen H, He H, Zhou F, Yu H, Deng XW. Development of genomics-based genotyping platforms and their applications in rice breeding. Current Opinion in Plant Biology. 2013;16(2):247–254. - PubMed
    1. Lam H-M, Xu X, Liu X, et al. Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection. Nature Genetics. 2010;42(12):1053–1059. - PubMed

LinkOut - more resources