Publishers: University of Zagreb, Faculty of Agriculture, Zagreb, Croatia  |  Slovak University of Agriculture in Nitra, Faculty of Agrobiology and Food Resources, Nitra, Slovakia  |  Hungarian University of Agriculture and Life Sciences, Georgikon Campus, Keszthely, Hungary  |  Agricultural University Plovdiv, Plovdiv, Bulgaria  |  University of South Bohemia, Faculty of Agriculture and Technology, České Budějovice, Czech Republic  |  Bydgoszcz University of Science and Technology, Bydgoszcz, Poland  |  University of Agricultural Sciences and Veterinary Medicine, Cluj - Napoca, Romania  |  University of Kragujevac, Faculty of Agronomy Čačak, Čačak, Serbia  |  Agricultural Institute of Slovenia, Ljubljana, Slovenia

DOI: https://doi.org/10.5513/JCEA01/24.2.3735

Original scientific paper

Correlation and path analyses of the performance elements in spring barley cultivars

2023, 24 (2)   p. 403-412

Natalia Vasko, Pavel SOLONECHNYI, Oleksiy NAUMOV, Mykhaylo KOZACHENKO, Liubov KOBYZEVA, Oleksiy ZYMOGLIAD

Abstract

The article presents the results of studying the influence of quantitative traits on the barley plant performance. Thirty typical plants were selected for each of the 28 genotypes spring two-row barley cultivars and their height, productive tillering capacity, spike length, number and weight of kernels from the main spike, 1000-kernel weight, and performance were measured. As a result, we found significant positive correlations between the performance and productive tillering capacity and weight of kernels from the main spike. Path analysis showed that the weight of kernels from the main spike had the greatest direct effect on the plant performance (0.61). We have established that the paths “spike length – weight of kernels from the main spike – performance” and “kernel number per spike – weight of kernels from the main spike – performance” are of the greatest importance in select for the barley plant performance.

Keywords

Hordeum vulgare L., path coefficient, direct and indirect effects, correlation between performance traits

 Download      Find similar journal articles

Share article

email    linkedin    facebook    twitter

  • Sign in

    If you are an existing user, please sign in. New users may register.

Cookies help us deliver our services. By using our services, you agree to our use of cookies. Got it