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Cited by 926

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

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
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Show all 2 references

Research works printed but not linked: 15

  1. Atiqullah, M., and Cox, D. (1962), “The Use of Control Observations as an Alternative to Incomplete Block Designs,” Biometrika, 49, 464–471. · DOI
  2. Butler, D. G., Cullis, B. R., Gilmour, A. R., and Gogel, B. J. (2003), “samm Reference Manual,” Training series, No QE02001, QLD Department of Primary Industries and Fisheries, Brisbane, QLD.
  3. Chan, B. (1999), “The Design of Field Experiments When the Data are Spatially Correlated,” PhD thesis, The University of Qld, Brisbane.
  4. Chauhan, N. (2000), “Efficient and Optimal Designs for Correlated Observations,” PhD thesis, University of Sheffield, U.K.
  5. Cochran, W. G., and Cox, G. M. (1957), Experimental Designs (2nd ed.), New York: Wiley.
  6. Coombes, N. (2002), “The Reactive Tabu Search for Efficient Correlated Experimental Designs.” PhD thesis, Liverpool John Moores University, Liverpool, U.K.
  7. Cullis, B., Lill, W., Fisher, J., and Read, B. (1989), “A New Procedure for the Analysis of Early Generation Variety Trials,” Applied Statistics, 38, 361–375. · DOI
  8. Falconer, D. S. and Mackay, T. (1996), Introduction to Quantitative Genetics (4th ed.), Essex, UK: Longman Scientific and Technical.
  9. Glover, F. (1989), “Tabu Search—Part I,” ORSA Journal of Computing, 1, 190–206. · DOI · Paper page
  10. — (1990), “Tabu Search—Part II,” ORSA Journal of Computing, 2, 4–32. · DOI · Paper page
  11. Kackar, R., and Harville, D. (1981), “Unbiasedness of Two-Stage Estimation and Predictions for Mixed Linear Models,” Communications in Statistics: Theory and Methods, A10, 1249–1261. · DOI · Paper page
  12. Kempton, R. A. (1984), “The Design and Analysis of Unreplicated Field Trials,” Vortrage für Pflanzenzuchtung, 7, 219–242.
  13. Kirkpatrick, S., Gelatt, C. D., and Vecchi, M. P. (1983), “Optimization by Simulated Annealing,” Science, 220, 671–680. · DOI · Paper page
  14. Martin, R. (1996), “Spatial Experimental Design,” in Handbook of Statistics 13: Design and Analysis of Experiments, eds. S. Ghosh and C. R. Rao, Amsterdam: Elsevier Science, pp. 477–514. · DOI
  15. Patterson, H. D., and Thompson, R. (1971), “Recovery of Interblock Information When Block Sizes are Unequal,” Biometrika, 31, 100–109.

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Metadata

Authors
Cullis, B. R., Smith, A. B., & Coombes, N. E.
Venue
Journal of Agricultural, Biological, and Environmental Statistics
Publisher
Springer Science and Business Media LLC
Published
2006-12
Volume
11
Issue
4
Pages
381-393
ISSN
  • 1085-7117 (ISSN-L)
  • 1537-2693
DOI
10.1198/108571106x154443
OpenAlex
W1983712865
Cited by
926
References
2
FWCI
16.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the design of early generation variety trials with correlated data. https://app.cochat.ai/papers/10.1198/108571106x154443
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Cullis, B. R., Smith, A. B., & Coombes, N. E. (2006). On the design of early generation variety trials with correlated data. Journal of Agricultural, Biological, and Environmental Statistics. https://doi.org/10.1198/108571106x154443

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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.