Geostatistical approach to data from field experiments with check plots

• Autorzy: Golaszewski J.
• Języki publikacji: EN

Abstrakty

EN

The paper suggests some indicators for the application of spatial methods in field experimentation. The indicators were based on the data from two field-breeding experiments with pea and field bean. Partially balanced square lattice designs were applied. The Smith’s index of soil heterogeneity b, chemical properties of the soil e.g. pH, Mg, P and K contents as well as data obtained from check plots sown with a single variety were used to evaluate spatial variation across the experiments. The Smith’s index of soil variability b showed a potential as a convenient tool to assess the purposefulness of background variation analysis by applying spatial methods. When b<0.6 one can expect a significantly increased efficiency of the experiment. Therefore the application of the nearest neighbour analysis or kriging to the data obtained from a net of check plots can produce the concomitant variable which can reduce the experimental error effectively.

Słowa kluczowe

EN

soil homogeneity; soil heterogeneity; field bean; spatial variation; field experimentation; soil variability; pea; Smith's index; kriging; nearest neighbour analysis

• Wydawca: -
• Czasopismo: Electronic Journal of Polish Agricultural Universities. Series Agronomy
• Rocznik: 2002
• Tom: 05
• Numer: 2
• Opis fizyczny: http://www.ejpau.media.pl/series/volume5/issue2/agronomy/art-06.html

Twórcy

autor

Golaszewski J.

• University of Warmia and Mazury in Olsztyn, Pl.Lodzki 3, 10-724 Olsztyn-Kortowo, Poland

Bibliografia

• Ball S.T., Mulla D.J., Konzak C.F., 1993. Spatial heterogeneity affects variety trial interpretation. Crop Sci. 33, 931- 935.
• Bartlett M.S., 1978. Nearest neighbour models in the analysis of field experiments (with discussion). J. Royal Stat. Soc. 40 B, 147-174.
• Gołaszewski J., 1999. Application of geostatistical methods to analysis of the data from a pea breeding trial. Biometrical Letters 36 (2), 145-157.
• Gołaszewski J., 2000. Statistical treatment of spatial variability in field trials. Natural Science 5, 159-176.
• Journel A.G., Huijbregts C.J., 1978. Mining geostatistics. Academic Press, London.
• Hatheway W.H., 1961. Convenient plot size. Agronomy J. 53(4), 279-280.
• Koch, E.J., Rigney J.A., 1951. A method of estimating optimum plot size from experimental data. Agronomy J. 43, 17-21.
• Krige D.G., 1966. Two-dimensional weighted moving average trend surfaces for ore-evaluation. J. South African Inst. Mining & Metallurgy 66, 13-38.
• Lin C.S., Binns M.R., 1984. Working rules for determining the plot size and number of plots per block in field experiments. J. Agr. Sci. 103, 11-15.
• Matheron G., 1963. Principles of geostatistics. Economic Geology 58, 1246-1266.
• Matheron G., 1971. The theory of regionalized variables and its applications. Cahiers du Centre de Morphologie Mathématique, Fointainbleau 5.
• Papadakis J.S., 1937. M'ethode statistique pour les experiences du champ. Institute d'Amerlioration des Plantes a Thessaloniki, Bull. Scientifique 23.
• Perrier E.R., Wilding L.P., 1986. An evaluation of computational methods for field uniformity studies. Adv. in Agronomy 39, 265-312.
• Smith H.F., 1938. An empirical law describing heterogeneity in the agricultural crops. J. Agr. Sci. 28, 1-23.
• Steel R. G. D., Torrie J. H., 1980. Principles and procedures of statistics. A biometrical approach. McGraw-Hill Book Company, New York.
• Stroup W.W., Baenzinger R.S., Mulitze D.K., 1994. Removing spatial variation from wheat yield trials: a comparison of methods. Crop Sci. 86, 62-66.
• Trangmar B.B., Yost R.S., Uehara G., 1985. Application of geostatistics to spatial studies of soil properties. Adv. in Agronomy 38, 45-94.
• Webster R., Burgess T.M., 1984. Sampling and bulking strategies for estimating soil properties in small regions. J. Soil Sci. 35, 127-140.
• Webster R., Oliver M.A., 1990. Statistical methods in soil and land resource surveys. Oxford University Press.
• Wilkinson G. N., Eckert S. R., Hancock T. W., Mayo O., 1983. Nearest neighbour (NN) analysis of field experiments (with discussion). J. Royal Stat. Soc. 45 B, 151-211.
• Zhang R., Warrick A.W., Myers D.E., 1994. Heterogeneity, plot shape effect and optimum plot size. Geoderma 62, 183-197.
• Zimmerman D.L., Harville D.A., 1991. A random field approach to the analysis of field-plot experiments and other spatial experiments. Biometrics 47, 223-239.