The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Correcting for spatial heterogeneity in plant breeding experiments with P-splines
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Cites
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Recovery of inter-block information when block sizes are unequal
PATTERSON, H. D., & THOMPSON, R. (1971) · Biometrika · doi:10.1093/biomet/58.3.545 · Cited by 4,058
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
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Estimation in generalized linear models with random effects
SCHALL, R. (1991) · Biometrika · doi:10.1093/biomet/78.4.719 · Cited by 1,243
On the design of early generation variety trials with correlated data
Cullis, B. R., Smith, A. B., & Coombes, N. E. (2006) · Journal of Agricultural, Biological, and Environmental Statistics · doi:10.1198/108571106x154443 · Cited by 926
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Accounting for natural and extraneous variation in the analysis of field experiments
Gilmour, A. R., Cullis, B. R., Verbyla, A. P., & Verbyla, A. P. (1997) · Journal of Agricultural, Biological, and Environmental Statistics · doi:10.2307/1400446 · Cited by 752
Lights, camera, action: high-throughput plant phenotyping is ready for a close-up
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Cited by
Tracing the ancestry of modern bread wheats
Wheat and Barley Legacy for Breeding Improvement (WHEALBI) consortium, Pont, C., Leroy, T., Seidel, M., Tondelli, A., Duchemin, W., Armisen, D., Lang, D., Bustos-Korts, D., Goué, N., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0393-z · Cited by 304
Self-citationvan Eeuwijk, F. A., Bustos-Korts, D., Millet, E. J., Boer, M. P., Kruijer, W., Thompson, A., Malosetti, M., Iwata, H., Quiroz, R., Kuppe, C., et al. (2019) · Plant Science · doi:10.1016/j.plantsci.2018.06.018 · Cited by 217
“org/package=SpATS), and produces adjusted means (Best Linear Unbiased Predictions, BLUPs, or Best Linear Unbiased Estimates, BLUEs) as well as generalized heritabilities [36,37].”
MethodSelf-citationCooper, M., Messina, C. D., Tang, T., Gho, C., Powell, O. M., Podlich, D. W., Technow, F., & Hammer, G. L. (2022) · Plant Breeding Reviews · doi:10.1002/9781119874157.ch8 · Cited by 56
Tensor cubic smoothing splines in designed experiments requiring residual modelling
Verbyla, A. P., De Faveri, J., Wilkie, J. D., & Lewis, T. (2018) · Journal of Agricultural, Biological and Environmental Statistics · doi:10.1007/s13253-018-0334-9 · Cited by 16
Melsen, K. A. C., Kunst, J. F., Crossa, J., Krause, M. R., van Eeuwijk, F. A., Kruijer, W., & Peeters, C. F. W. (2025) · Biometrical Journal · doi:10.1002/bimj.70081 · Cited by 2
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Metadata
- Authors
- Rodríguez-Álvarez, M. X., Boer, M. P., van Eeuwijk, F. A., & Eilers, P. H. C.
- Venue
- Spatial Statistics
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 23
- Pages
- 52-71
- ISSN
- 2211-6753 (ISSN-L)
- OpenAlex
- W2765191230
- Cited by
- 309
- References
- 39
- FWCI
- 32.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Rodríguez-Álvarez, M. X., Boer, M. P., van Eeuwijk, F. A., & Eilers, P. H. C. (2018). Correcting for spatial heterogeneity in plant breeding experiments with P-splines. Spatial Statistics. https://doi.org/10.1016/j.spasta.2017.10.003
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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.
