The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Genomics-assisted breeding for crop improvement
Open accessAbstract
Genomics research is generating new tools, such as functional molecular markers and informatics, as well as new knowledge about statistics and inheritance phenomena that could increase the efficiency and precision of crop improvement. In particular, the elucidation of the fundamental mechanisms of heterosis and epigenetics, and their manipulation, has great potential. Eventually, knowledge of the relative values of alleles at all loci segregating in a population could allow the breeder to design a genotype in silico and to practice whole genome selection. High costs currently limit the implementation of genomics-assisted crop improvement, particularly for inbreeding and/or minor crops. Nevertheless, marker-assisted breeding and selection will gradually evolve into 'genomics-assisted breeding' for crop improvement.
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Cites
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
Initiative, T. A. G. (2000) · Nature · doi:10.1038/35048692 · Cited by 9,301
A Draft Sequence of the Rice Genome ( Oryza sativa L. ssp. indica )
Yu, J., Hu, S., Wang, J., Wong, G. K.-S., Li, S., Liu, B., Deng, Y., Dai, L., Zhou, Y., Zhang, X., et al. (2002) · Science · doi:10.1126/science.1068037 · Cited by 4,208
The map-based sequence of the rice genome
International Rice Genome Sequencing Project, & Sasaki, T. (2005) · Nature · doi:10.1038/nature03895 · Cited by 3,797
Association Mapping in Structured Populations
Pritchard, J. K., Stephens, M., Rosenberg, N. A., & Donnelly, P. (2000) · The American Journal of Human Genetics · doi:10.1086/302959 · Cited by 2,051
Genic microsatellite markers in plants: features and applications
Varshney, R. K., Graner, A., & Sorrells, M. E. (2005) · Trends in Biotechnology · doi:10.1016/j.tibtech.2004.11.005 · Cited by 1,863
Self-citationA draft sequence of the rice genome (Oryza sativa L. ssp. indica) : The rice genome
Yu, J. M., Hu, S., Cao, M., Liu, J., Sun, J., & Tang, J. (2002) · Science · Cited by 1,817
Structure of Linkage Disequilibrium in Plants
Flint-Garcia, S. A., Thornsberry, J. M., & Buckler, E. S. (2003) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.54.031902.134907 · Cited by 1,712
Genetics of gene expression surveyed in maize, mouse and man
Schadt, E. E., Monks, S. A., Drake, T. A., Lusis, A. J., Che, N., Colinayo, V., Ruff, T. G., Milligan, S. B., Lamb, J. R., Cavet, G., et al. (2003) · Nature · doi:10.1038/nature01434 · Cited by 1,503
Genetic Dissection of Transcriptional Regulation in Budding Yeast
Brem, R. B., Yvert, G., Clinton, R., & Kruglyak, L. (2002) · Science · doi:10.1126/science.1069516 · Cited by 1,390
Cited by
Next-generation sequencing technologies and their implications for crop genetics and breeding
Varshney, R. K., Nayak, S. N., May, G. D., & Jackson, S. A. (2009) · Trends in Biotechnology · doi:10.1016/j.tibtech.2009.05.006 · Cited by 936
Self-citationMetabolomics-assisted breeding: a viable option for crop improvement?
Fernie, A. R., & Schauer, N. (2009) · Trends in Genetics · doi:10.1016/j.tig.2008.10.010 · Cited by 550
Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops
Mir, R. R., Zaman-Allah, M., Sreenivasulu, N., Trethowan, R., & Varshney, R. K. (2012) · Theoretical and Applied Genetics · doi:10.1007/s00122-012-1904-9 · Cited by 477
Self-citationGarg, R., Patel, R. K., Tyagi, A. K., & Jain, M. (2011) · DNA Research · doi:10.1093/dnares/dsq028 · Cited by 457
Deployment of new biotechnologies in plant breeding
Lusser, M., Parisi, C., Plan, D., & Rodríguez-Cerezo, E. (2012) · Nature Biotechnology · doi:10.1038/nbt.2142 · Cited by 342
Metadata
- Authors
- VARSHNEY, R., GRANER, A., & SORRELLS, M.
- Venue
- Trends in Plant Science
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 10
- Issue
- 12
- Pages
- 621-630
- ISSN
- 1360-1385 (ISSN-L)
- OpenAlex
- W2058815899
- Cited by
- 744
- References
- 65
- FWCI
- 2.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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