Array
(
[session_started] => 1732198451
[LANGUAGE] => EN
[LEPTON_SESSION] => 1
)
Correlation, path-coefficient and principal component analysis of yield and some traits related to the productivity of winter barley accessions with Bulgarian origin
Nikolay Neykov, Milka Doneva, Petar Chavdarov and Ivan Alexiev
Abstract: The aim of the study was to generate information on interrelationships of some important productivity elements, direct and indirect effects of grains per spike and height of the plants. The study was conducted in the IPGR – Sadovo, during the period 2018-2020 and included 13 two-row winter barley accessions with Bulgarian origin. In all tested barley accessions was found statistically proven strong correlation (r = 0.896) between yield and number of spikes per m2. Path-coefficient analysis shows that the traits number of spikes per m2 and grain mass per spike have the highest direct effect on yield. Principal components analysis shows that Kuber and Asparuh have positive values for first PC. These cultivars were characterized by high yield, high plant height, high spike length, high grain number per a spike, high grain mass per a spike and high 1000 grains mass.
Keywords: correlation analysis; path-coefficient analysis; productivity; winter barley; yield
Date published: 2022-08-26
Download full text