Skip to main content
Log in

Optimum plot size determination and its application to cucumber yield trials

  • Evaluation Procedures
  • Published:
Euphytica Aims and scope Submit manuscript

Summary

Methods of estimating Smith's b and, thereby, optimum plot size are compared from a theoretical viewpoint. For estimating b, generalized least squares is recommended over Smith's (1938) original method and other methods because the points used to fit the required regression are correlated and have unequal variances.

Optimum plot size for once-over-harvest trials measuring yield (as number of fruits per plot) of pickling and frest-market cucumbers (Cucumis sativus L.) was estimated to be 0.7 to 3.8 m2 (0.5 to 2.5 m of row for rows 1.5 m apart) for conventional harvesting, and 1.0 to 5.6 m2 (0.7 to 3.7 m of row) for simulated harvesting using paraquat to defoliate plots before evaluation. Estimates of optimum plot size were calculated from a number of uniformity trials differing in year (1982 or 1983), planting date (early or late), and field. The estimates were sufficiently stable to suggest that they have useful generality.

For multiple-harvest yield trials, optimum plot sizes for determining yield of pickling (expressed in $/ha or q/ha) or fresh-market cucumbers (i.e. USDA Fancy and No. 1 grade fruit combined or USDA Fancy, No. 1, and No. 2 grade fruit combined, in q/ha) were estimated from experimental data to be 6.4 to 10.3 m2 (4.3 to 6.8 m of row).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Aitken, A. C., 1935. On least squares and linear combination of observations. Proc. Roy. Soc. Edinburgh 55: 42–48.

    Google Scholar 

  • Binns, M. R., 1982. The choice of plot size in randomized block experiments. J. Amer. Soc. Hort. Sci. 107: 17–19.

    Google Scholar 

  • Brim, C. A. & D. D., Mason, 1959. Estimates of optimum plot size for soybean yield trials. Agron. J. 55: 197–199.

    Google Scholar 

  • Hatheway, W. H. & E. J., Williams, 1958. Efficient estimation of the relationship between plot size and the variability of crop yields. Biometrics 14: 207–222.

    Google Scholar 

  • Koch, E. J. & J. A., Rigney, 1951. A method of estimating optimum plot size from experimental data. Agron. J. 43: 17–21.

    Google Scholar 

  • Miller, C. H. & G. R., Hughes, 1969. Harvest indices for pickling cucumbers in once-over harvest systems. J. Amer. Soc. Hort. Sci. 74: 485–487.

    Google Scholar 

  • Pearce, S. C., 1976. An examination of Fairfield Smith's law of environmental variation. J. Agr. Sci. 87: 25–32.

    Google Scholar 

  • Searle, S. R., 1966. Matrix Algebra for the Biological Sciences. John Wiley & Sons, New York, pp. 296.

    Google Scholar 

  • Smith, H. F., 1938. An empirical law describing heterogeneity in the yield of agricultural crops. J. Agr. Sci 28: 1–23.

    Google Scholar 

  • Smith, O. S. & R. L., Lower, 1978. Field plot techniques for selecting increased once-over harvest yields in pickling cucumbers. J. Amer. Soc. Hort. Sci. 103: 92–94.

    Google Scholar 

  • Wehner, T. C., T. J., Monaco, & A. R., Bonanno, 1984. Chemical defoliation of cucumber vines for simulation of once-over harvest in small-plot yield trials. HortScience 19: 671–673.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Swallow, W.H., Wehner, T.C. Optimum plot size determination and its application to cucumber yield trials. Euphytica 35, 421–432 (1986). https://doi.org/10.1007/BF00021850

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00021850

Index words

Navigation