The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
The use of molecular genetics in the improvement of agricultural populations
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Citations
Cites
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Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
Meuwissen, T. H. E., Hayes, B. J., & Goddard, M. E. (2001) · Genetics · doi:10.1093/genetics/157.4.1819 · Cited by 7,917
Genetics and Analysis of Quantitative Traits
(2002) · Journal of Animal Breeding and Genetics · doi:10.1046/j.1439-0388.2002.00356.x · Cited by 6,092
Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results
Lander, E., & Kruglyak, L. (1995) · Nature Genetics · doi:10.1038/ng1195-241 · Cited by 5,239
Introduction to Quantitative Genetics
G., J.-M., & Falconer, D. S. (1962) · Population (French Edition) · doi:10.2307/1525780 · Cited by 3,705
Genetics and analysis of quantitative traits
Ewens, W. J. (1999) · American Journal of Human Biology · doi:10.1002/(sici)1520-6300(199911/12)11:6<798::aid-ajhb12>3.0.co;2-a · Cited by 2,070
Efficiency of marker-assisted selection in the improvement of quantitative traits.
Lande, R., & Thompson, R. (1990) · Genetics · doi:10.1093/genetics/124.3.743 · Cited by 1,410
Eshed, Y., & Zamir, D. (1995) · Genetics · doi:10.1093/genetics/141.3.1147 · Cited by 1,098
The Mathematical Theory of Quantitative Genetics.
Bulmer, M. G. (1987) · Biometrics · doi:10.2307/2531982 · Cited by 781
The Mathematical Theory of Quantitative Genetics.
Weir, B. S., & Bulmer, M. G. (1981) · Biometrics · doi:10.2307/2530175 · Cited by 701
Cited by
Gianola, D., & van Kaam, J. B. C. H. M. (2008) · Genetics · doi:10.1534/genetics.107.084285 · Cited by 457
Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures
Gianola, D., Fernando, R. L., & Stella, A. (2006) · Genetics · doi:10.1534/genetics.105.049510 · Cited by 450
Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
Cooper, M., Messina, C. D., Podlich, D., Totir, L. R., Baumgarten, A., Hausmann, N. J., Wright, D., & Graham, G. (2014) · Crop & Pasture Science · doi:10.1071/cp14007 · Cited by 411
Breeding drought-tolerant maize hybrids for the US corn-belt: discovery to product
Cooper, M., Gho, C., Leafgren, R., Tang, T., & Messina, C. (2014) · Journal of Experimental Botany · doi:10.1093/jxb/eru064 · Cited by 417
Prediction of response to marker‐assisted and genomic selection using selection index theory
Dekkers, J. C. M. (2007) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.2007.00701.x · Cited by 398
Self-citation
Metadata
- Authors
- Dekkers, J. C. M., & Hospital, F.
- Venue
- Nature Reviews Genetics
- Published
- 2002-01
- Volume
- 3
- Issue
- 1
- Pages
- 22-32
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W1598359782
- Cited by
- 710
- References
- 45
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: The use of molecular genetics in the improvement of agricultural populations. https://app.cochat.ai/papers/10.1038/nrg701
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- Dekkers, J. C. M., & Hospital, F. (2002). The use of molecular genetics in the improvement of agricultural populations. Nature Reviews Genetics. https://doi.org/10.1038/nrg701
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.
