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History of the Statistical Design of Agricultural Experiments

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  • L. Rob Verdooren

    (Danone Nutricia Research)

Abstract

In Section 1 the approach of improving crop yields by the development of agriculture and addition of various mineral or organic substances in the last 200–300 years is investigated. In Section 2 the principle of randomized experiments is treated. Section 3 describes the variety trials of field crops. The elimination of effects in two dimensions is shown in Section 4 on Row–Column designs. Fertilizer trials are treated in Section 5 (qualitative factors) and in Section 6 (quantitative factors). Field trials with spatial analysis are discussed in Section 7. In Section 8 remarks on analysis and optimal experimental design are made. Supplementary materials accompanying this paper appear on-line

Suggested Citation

  • L. Rob Verdooren, 2020. "History of the Statistical Design of Agricultural Experiments," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 457-486, December.
    • Handle: RePEc:spr:jagbes:v:25:y:2020:i:4:d:10.1007_s13253-020-00394-3
    DOI: 10.1007/s13253-020-00394-3
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    References listed on IDEAS

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    1. Rao, C. Radhakrishna, 1971. "Estimation of variance and covariance components--MINQUE theory," Journal of Multivariate Analysis, Elsevier, vol. 1(3), pages 257-275, September.
    2. M. F. Franklin & R. A. Bailey, 1977. "Selection of Defining Contrasts and Confounded Effects in Two‐Level Experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 321-326, November.
    3. R. N. Edmondson, 2002. "Generalised incomplete Trojan designs," Biometrika, Biometrika Trust, vol. 89(4), pages 877-891, December.
    4. Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
    5. H. D. Patterson & R. A. Bailey, 1978. "Design Keys for Factorial Experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(3), pages 335-343, November.
    6. E. R. Williams & J. A. John & D. Whitaker, 2006. "Construction of Resolvable Spatial Row–Column Designs," Biometrics, The International Biometric Society, vol. 62(1), pages 103-108, March.
    7. J. C. Gower, 1988. "Statistics and Agriculture," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 151(1), pages 179-200, January.
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    Cited by:

    1. Steven B Kim & Dong Sub Kim & Christina Magana-Ramirez, 2021. "Applications of statistical experimental designs to improve statistical inference in weed management," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-21, September.
    2. Vasiliki Koutra & Steven G. Gilmour & Ben M. Parker & Andrew Mead, 2023. "Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(3), pages 526-548, September.
    3. Hans-Peter Piepho & Robert J. Tempelman & Emlyn R. Williams, 2020. "Guest Editors’ Introduction to the Special Issue on “Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture”," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 453-456, December.
    4. Gerhard Moitzi & Reinhard W. Neugschwandtner & Hans-Peter Kaul & Helmut Wagentristl, 2021. "Crop sequence effects on energy efficiency and land demand in a long-term fertilisation trial," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 67(12), pages 739-746.
    5. Mariana Rodrigues-Motta & Johannes Forkman, 2022. "Bayesian Analysis of Nonnegative Data Using Dependency-Extended Two-Part Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(2), pages 201-221, June.

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