Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.
2002
Volume 5
Issue 2
Topic:
Agronomy
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Gołaszewski J. 2002. GEOSTATISTICAL APPROACH TO DATA FROM FIELD EXPERIMENTS WITH CHECK PLOTS, EJPAU 5(2), #06.
Available Online: http://www.ejpau.media.pl/volume5/issue2/agronomy/abs-06.html

GEOSTATISTICAL APPROACH TO DATA FROM FIELD EXPERIMENTS WITH CHECK PLOTS

Janusz Gołaszewski

 

ABSTRACT



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.

Key words: heterogeneity of the soil, homogeneity of the soil, kriging, nearest neighbour analysis, NNA, semivariogram, Smith’s index of soil variability, soil variability, spatial variation.