IDEAS home Printed from https://ideas.repec.org/a/spr/jagbes/v25y2020i4d10.1007_s13253-020-00394-3.html
   My bibliography  Save this article

History of the Statistical Design of Agricultural Experiments

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13253-020-00394-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13253-020-00394-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. R. N. Edmondson, 2002. "Generalised incomplete Trojan designs," Biometrika, Biometrika Trust, vol. 89(4), pages 877-891, December.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kobilinsky, André & Monod, Hervé & Bailey, R.A., 2017. "Automatic generation of generalised regular factorial designs," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 311-329.
    2. Christopher Muller & Daniel Schrage, 2014. "Mass Imprisonment and Trust in the Law," The ANNALS of the American Academy of Political and Social Science, , vol. 651(1), pages 139-158, January.
    3. Fiaschi, Davide & Lavezzi, Andrea Mario, 2007. "Nonlinear economic growth: Some theory and cross-country evidence," Journal of Development Economics, Elsevier, vol. 84(1), pages 271-290, September.
    4. Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021. "Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies," The European Journal of Finance, Taylor & Francis Journals, vol. 27(1-2), pages 8-30, January.
    5. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    6. Jaggi, Seema & Varghese, Cini & Varghese, Eldho & Sharma, V.K., 2010. "Generalized incomplete Trojan-type designs," Statistics & Probability Letters, Elsevier, vol. 80(7-8), pages 706-710, April.
    7. Koji Karato & Oleksandr Movshuk & Chihiro Shimizu, 2015. "Semiparametric Model of Hedonic Housing Prices in Japan," Asian Economic Journal, East Asian Economic Association, vol. 29(4), pages 325-345, December.
    8. Strasak, Alexander M. & Umlauf, Nikolaus & Pfeiffer, Ruth M. & Lang, Stefan, 2011. "Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1540-1551, April.
    9. Payne, Roger W., 1998. "Design keys, pseudo-factors and general balance," Computational Statistics & Data Analysis, Elsevier, vol. 29(2), pages 217-229, December.
    10. E. Zanini & E. Eastoe & M. J. Jones & D. Randell & P. Jonathan, 2020. "Flexible covariate representations for extremes," Environmetrics, John Wiley & Sons, Ltd., vol. 31(5), August.
    11. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    12. Maciej Berȩsewicz & Dagmara Nikulin, 2021. "Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 667-690, June.
    13. Andrea Mario Lavezzi & Davide Fiaschi, 2004. "Nonlinear Growth and the Productivity Slowdown," Computing in Economics and Finance 2004 162, Society for Computational Economics.
    14. Adam R. Pines & Bart Larsen & Zaixu Cui & Valerie J. Sydnor & Maxwell A. Bertolero & Azeez Adebimpe & Aaron F. Alexander-Bloch & Christos Davatzikos & Damien A. Fair & Ruben C. Gur & Raquel E. Gur & H, 2022. "Dissociable multi-scale patterns of development in personalized brain networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    15. Demidova, Olga & Kolyagina, Alena & Pastore, Francesco, 2020. "Marshallian vs Jacobs effects: Which is stronger? Evidence for Russia unemployment dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 244-258.
    16. Kuppelwieser, Volker G. & Sarstedt, Marko & Tuzovic, Sven, 2014. "The role of context and motivation variables in mobile commerce usage — A further perspective on Chong (2013)," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 156-161.
    17. Dawid Kudas & Agnieszka Wnęk & Ľubica Hudecová & Robert Fencik, 2024. "Spatial Diversity Changes in Land Use and Land Cover Mix in Central European Capitals and Their Commuting Zones from 2006 to 2018," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    18. D. Rasch & O. Mašata, 2006. "Methods of variance component estimation," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 51(6), pages 227-235.
    19. Morteza Amini & Mahdi Roozbeh & Nur Anisah Mohamed, 2024. "Separation of the Linear and Nonlinear Covariates in the Sparse Semi-Parametric Regression Model in the Presence of Outliers," Mathematics, MDPI, vol. 12(2), pages 1-17, January.
    20. Daniel Melser, 2017. "Residential Real Estate, Risk, Return and Home Characteristics: Evidence from Sydney 2002-14," ERES eres2017_296, European Real Estate Society (ERES).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jagbes:v:25:y:2020:i:4:d:10.1007_s13253-020-00394-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.