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.
1999
Volume 2
Issue 2
Topic:
##### Agronomy
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Jendrzejczak E. 1999. COEFFICIENT OF COMPATIBILITY WITH THE STANDARD (CCS) AND ITS APPLICATION IN CULTIVAR RESEARCH, EJPAU 2(2), #03.
Available Online: http://www.ejpau.media.pl/volume2/issue2/agronomy/abs-03.html

COEFFICIENT OF COMPATIBILITY WITH THE STANDARD (CCS) AND ITS APPLICATION IN CULTIVAR RESEARCH

Ewa Jendrzejczak

The present paper concerns interactions between a set of objects, where the same components (fractions) can be isolated, and a standard object, which consists of arithmetical mean shares in these fractions. A method was proposed how to estimate the variability observed in the structure of a given object, as compared with the standard structure, as calculated with a coefficient of compatibility with the standard (CCS). According to the algorithm introduced, the coefficient value falls between ( 0.1). When the structure of a given object is identical with the one of the standard, the coefficient amounts to 0.5. If a growth in cumulative interest for respective fractions is more intensive as compared with the one of the standard, the coefficient amounts to less than 0.5, otherwise the coefficient is higher than 0.5. Applying the method presented, it was observed that the sowing material in the majority of pea cultivars, researched by the Centre for Cultivar Testing (COBORU) in 1995, showed seed size structure si

Key words: statistics, concentration analysis, cultivar testing, pea.