Use of multivariate analysis in oat cultivars under stress and non-stress

A. Ghasemi Pirbalouti, E. Rabiei, M. Khodambashi

Abstract: The relation between some variables is an important subject that should consider in biological sciences. If studies conducted based on individual traits precise interpretation of the effects of variables on organism would not be possible. The objective of this experiment was using two methods of multivariate analysis including correlation and principal component analysis. In this study, two experiments conducted in drought stress and non-stress conditions on ten oat cultivars in the form of randomized complete block design with three replications at the Research Farm, Shahrekord University, on summer 2004 and 2005. The region (32° 20’ N, 50° 51’ E; 2061 meters above see level) is located in west Shahrekord. The results obtained from this study showed that high correlation was between seed yield and harvest index, also seed yield and biological yield in both stress and non-stress conditions. The results obtained from principal component analysis showed that seed yield, biological yield, number of spike per square meter and kernel weight were very variable in both of the environments. Kernel weight, number of spike per square meter, harvest index and grain-filling period have high diversity in oat cultivars and important for selection breeding programs.

Keywords: correlation; drought stress; oat; principal component analysis; yield

Date published: 2019-06-14