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.
2009
Volume 12
Issue 2
Topic:
Agronomy
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Gołaszewski J. , Załuski D. , Stawiana-Kosiorek A. , Sulima P. 2009. THE USEFULNESS OF SOME SOIL PROPERTIES AND PLANT TRAITS FOR THE ESTIMATION OF SPATIAL VARIATION IN THE 35 FIELD EXPERIMENT WITH PEA (Pisum sativum L. SENSU LATO), EJPAU 12(2), #01.
Available Online: http://www.ejpau.media.pl/volume12/issue2/abs-01.html

THE USEFULNESS OF SOME SOIL PROPERTIES AND PLANT TRAITS FOR THE ESTIMATION OF SPATIAL VARIATION IN THE 35 FIELD EXPERIMENT WITH PEA (PISUM SATIVUM L. SENSU LATO)

Janusz Gołaszewski, Dariusz Załuski, Aneta Stawiana-Kosiorek, Paweł Sulima
Department of Plant Breeding and Seed Production, University of Warmia and Mazury, Olsztyn, Poland

 

ABSTRACT


The problem of the effective control of
soil variability is the main limitation on the broader use of factorial or fractional
designs in agricultural experimental practice. The objective of the study was
to assess the usefulness of some soil (pH, P, K, Mg, organic C) and plant traits
(plant height, seed yield) for the estimation of spatial variation of the experimental
field and to assess their usefulness in increasing the efficiency of 35 field
plot experiment with pea. Geostatistical methods were used in spatial analyses
and ANOVA and ANCOVA in the analyses of the data from the experiment. The relative
efficiency of the ANCOVA with information on spatial variation compared to the
classic ANOVA was calculated. All of the studied soil properties and plant traits
were spatially autocorrelated. The experimental semivariograms were transitive, having the range and the sill fitted
with the spherical and exponential models. The range of spatial autocorrelation for soil properties was 18.5-73.7 m and for
plant traits 1.6-3.7 m, while the share of structural variance (C) in the variance
of sill (C0 + C) was 60% and 90% for soil properties and plant traits,
respectively. The values of spatial descriptors predicted
for each experimental plot by kriging and used as covariates in ANCOVA resulted
in higher efficiency.

Key words: field experiments, factorial design at three levels, geostatistics, spatial variation.


Janusz Gołaszewski
Department of Plant Breeding and Seed Production,
University of Warmia and Mazury, Olsztyn, Poland
Pl. Łodzki 3, 10-724 Olsztyn, Poland
email: janusz.golaszewski@uwm.edu.pl

Dariusz Załuski
Department of Plant Breeding and Seed Production,
University of Warmia and Mazury, Olsztyn, Poland
pl. Łodzki 3, 10-724 Olsztyn, Poland
email: dariusz.zaluski@uwm.edu.pl

Aneta Stawiana-Kosiorek
Department of Plant Breeding and Seed Production,
University of Warmia and Mazury, Olsztyn, Poland
Pl. Łodzki 3, 10-724 Olsztyn, Poland
email: anetastko@poczta.onet.pl

Paweł Sulima
Department of Plant Breeding and Seed Production,
University of Warmia and Mazury, Olsztyn, Poland
Pl. Łodzki 3, 10-724 Olsztyn, Poland
email: paweł.sulima@uwm.edu.pl

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed 'Discussions' and hyperlinked to the article.