The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Genetic diversity is indispensable for plant breeding to improve crops
Open accessAbstract
Plant breeders face multiple global challenges that affect food security, productivity, accessibility, and nutritional quality. One major challenge for plant breeders is developing environmentally resilient crop cultivars in response to rapid shifts in cultivation conditions and resources due to climate change. Plant breeders rely on different crop genetic resources, breeding tools, and methods to incorporate genetic diversity into commercialized cultivars. Breeders use genetic diversity to develop new cultivars with improved agronomics, such as higher yield, biotic and abiotic stress tolerance, and to improve the nutritional quality of foods for a growing world population. Plant breeders perform the essential task of strategic integration of new genetic diversity while preserving important economic traits of individual crops such as relative maturity (maize, Zea mays L.), fruit type (tomato, Lycopersicon esculentum Mill.), plant type (lettuce Lactuca sativa L.), and habitat type (canola, Brassica napus L.) that are highly specialized for specific consumer preferences or market needs. This review provides an industry perspective on how genetic diversity is incorporated for crop improvement by (a) using a real‐life example to highlight the vast amount of genetic diversity that exists in plants, (b) providing a conceptual example to illustrate strategic challenges a breeder faces while incorporating diversity, (c) describing how and why it can a decade or more to incorporate diversity into commercialized cultivars, even when advanced tools and technologies are used, and (d) sharing factors that plant breeders consider when applying various tools, including genome editing, at different stages of plant breeding.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
Prioritizing Climate Change Adaptation Needs for Food Security in 2030
Lobell, D. B., Burke, M. B., Tebaldi, C., Mastrandrea, M. D., Falcon, W. P., & Naylor, R. L. (2008) · Science · doi:10.1126/science.1152339 · Cited by 3,105
Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
Endelman, J. B. (2011) · The Plant Genome · doi:10.3835/plantgenome2011.08.0024 · Cited by 2,094
Impact of Climate Change on Crops Adaptation and Strategies to Tackle Its Outcome: A Review
Raza, A., Razzaq, A., Mehmood, S. S., Zou, X., Zhang, X., Lv, Y., & Xu, J. (2019) · Plants · doi:10.3390/plants8020034 · Cited by 1,762
Increase in crop losses to insect pests in a warming climate
Deutsch, C. A., Tewksbury, J. J., Tigchelaar, M., Battisti, D. S., Merrill, S. C., Huey, R. B., & Naylor, R. L. (2018) · Science · doi:10.1126/science.aat3466 · Cited by 1,549
A single domestication for maize shown by multilocus microsatellite genotyping
Matsuoka, Y., Vigouroux, Y., Goodman, M. M., Sanchez G., J., Buckler, E., & Doebley, J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.052125199 · Cited by 1,492
Polyploidy and genome evolution in plants
Adams, K. L., & Wendel, J. F. (2005) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2005.01.001 · Cited by 1,343
The Rate and Molecular Spectrum of Spontaneous Mutations in Arabidopsis thaliana
Ossowski, S., Schneeberger, K., Lucas-Lledó, J. I., Warthmann, N., Clark, R. M., Shaw, R. G., Weigel, D., & Lynch, M. (2010) · Science · doi:10.1126/science.1180677 · Cited by 1,144
Breeding crops to feed 10 billion
Hickey, L. T., N. Hafeez, A., Robinson, H., Jackson, S. A., Leal-Bertioli, S. C. M., Tester, M., Gao, C., Godwin, I. D., Hayes, B. J., & Wulff, B. B. H. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0152-9 · Cited by 1,046
Andersen, J. R., & Lübberstedt, T. (2003) · Trends in Plant Science · doi:10.1016/j.tplants.2003.09.010 · Cited by 796
Research works printed but not linked: 20
- 10.1007/s10681-018-2318-9 · doi:10.1007/s10681-018-2318-9
- 10.3390/foods8070257 · doi:10.3390/foods8070257
- Burns E. E., 1973, Observations of Physoderma maydis in Illinois: Effects of tillage practices in field corn, Plant Disease Reporter, 27, 630
- Butruille D. V., 2015, Plant breeding reviews, 199
- 10.1007/s11295-018-1236-2 · doi:10.1007/s11295-018-1236-2
- 10.1007/s00299-016-2018-7 · doi:10.1007/s00299-016-2018-7
- 10.1016/B978-0-12-384947-2.00083-0 · doi:10.1016/b978-0-12-384947-2.00083-0
- FAO, 2017, The future of food and agriculture‐ trends and challenges
- 10.1021/acs.jafc.6b01000 · doi:10.1021/acs.jafc.6b01000
- 10.1093/jxb/erx377 · doi:10.1093/jxb/erx377
- 10.1007/978-94-017-1293-4_1 · doi:10.1007/978-94-017-1293-4_1
- Leitch I. J., 2012, Plant genome diversity Vol. 1: Plant genomes, their residents, and their evolutionary dynamics, 307
- 10.2135/cropsci2009.08.0456 · doi:10.2135/cropsci2009.08.0456
- 10.1111/pbi.12805 · doi:10.1111/pbi.12805
- 10.1007/978-1-4939-3061-6_25 · doi:10.1007/978-1-4939-3061-6_25
- 10.1590/S1984-70332014000100009 · doi:10.1590/s1984-70332014000100009
- 10.1007/978-1-4939-7337-8_14 · doi:10.1007/978-1-4939-7337-8_14
- 10.1007/s10681-007-9383-9 · doi:10.1007/s10681-007-9383-9
- 10.1016/S2221-1691(12)60108-7 · doi:10.1016/s2221-1691(12)60108-7
- 10.1371/journal.pone.0210772 · doi:10.1371/journal.pone.0210772
Cited by
Argaw, T., Fenta, B. A., Zegeye, H., Azmach, G., & Funga, A. (2025) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2025.1472282 · Cited by 19
Metadata
- Authors
- Swarup, S., Cargill, E. J., Crosby, K., Flagel, L., Kniskern, J., & Glenn, K. C.
- Venue
- Crop Science
- Publisher
- Wiley
- Published
- 2021-02-24
- Volume
- 61
- Issue
- 2
- Pages
- 839-852
- ISSN
- 0011-183X (ISSN-L)
- 1435-0653
- OpenAlex
- W3093119381
- Cited by
- 423
- References
- 53
- FWCI
- 18.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Genetic diversity is indispensable for plant breeding to improve crops. https://app.cochat.ai/papers/10.1002/csc2.20377
- The paper
- Swarup, S., Cargill, E. J., Crosby, K., Flagel, L., Kniskern, J., & Glenn, K. C. (2021). Genetic diversity is indispensable for plant breeding to improve crops. Crop Science. https://doi.org/10.1002/csc2.20377
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.