Correlations and path analysis of yield components in spring barley (Hordeum vulgare L.) varieties

  • M. R. Kozachenko
  • K. V. Kompanets
  • S. I. Sviatchenko

Abstract

Aim. The aim of research was to determine pair correlation and path coefficients of traits and to identify on their basis contributions of different quantitative traits in the main feature – ‘grain yield. Methods. Eleven 11 spring barley varieties were investigated: ‘Dzherelo’, ‘Zvershennia’, ‘Etyket’, ‘Badioryy’, ‘Vzirets’, ‘Hranal’, ‘Modern’, ‘Vitrazh’, ‘Pasadena’, ‘Tolar’, and ‘Maliovnychyy’. We analyzed 50 plants of each variety for 11 quantitative traits. The pair correlation coefficients between quantitative traits were calculated by the BA Dospehov method; path analysis was conducted as AI Sedlovskiy et al described by the S. Wright method. Results. Path analysis revealed that the correlation between plant traits and yield depended both on direct and on indirect effects of each trait on the yield capacity. We established causes of varying correlations between yield and other plant traits. Conclusions. Different pair correlations between yield and plant traits were found. Path analysis of the yield capacity demonstrated that the correlation values between the yield and 11 quantitative traits ambivalently depended both on direct and indirect effects of a trait on the yield and on indirect effects of other traits. The direct effect of a trait on the yield does not always unambiguously affect the pair correlation coefficient. The following traits were of the greatest breeding value: lodging resistance and grain weight/straw weight ratio.

Keywords: spring barley, varieties, yield and trait, correlation coefficient, path analysis.

References

Garcia del Moral L.F., Ramos J.M., Garcia del Moral M.B., Jimenez-Tejada M.P. Ontogenetic approach to grain production in spring barley based on path coefficient analysis. Crop Sci. 1991. V. 31. P. 1179-1185. doi: 10.2135/cropsci1991.0011183X003100050021x

Sinebo W. Yield relationships of barleys grown in a tropical highland environment. Crop Sci. 2002. V. 42. P. 428-437. doi: 10.2135/cropsci2002.4280

Dofing S.M., Knight C.W. Yield component compensation in uniculm barley lines. Agron J. 1994. V. 86. P. 273-276. doi: 10.2134/agronj1994.00021962008600020012x

Grafius J.E. A geometry for plant breeding. Crop Sci. 1964. V. 4. P. 241-246. doi: 10.2135/cropsci1964.0011183X000400030001x

Hamid Z.A., Grafius J.E. Developmental allometry and its implication to grain yield in barley. Crop Sci. 1978. V. 18. P. 83-86. doi: 10.2135/cropsci1978.0011183X001800010022x

Puri Y.P., Qualset C.O., Williams W.A. Evaluation of yield components as selection criteria in barley breeding. Crop Sci. V. 22. P. 927-931. doi: 10.2135/cropsci1982.0011183X002200050007x

Ataei M. Path analysis of barley (Hordeum vulgare L.) yield. Ankara Univ. Fac. Agric J. Agric Sci. 2006. V. 12 (3). P. 227-232.

Mukhordova M.E. Vzaimosviaz' elementov kachestva s produktivnost'iu rasteniy u pivovarennogo iachmenia. Vestnik Altayskogo gosudarstvennogo agrarnogo universiteta. 2011. V. 7 (81). P. 23-26. [in Russian]

Emine B.C., Necmettin C. Correlation and Path Coefficient Analyses of grain yield and Yield Components in two-rowed of Barley (Hordeum vulgare convar. distichon) varieties. Not Sci Biol. 2012. V. 4 (2). P. 128-131. doi: 10.15835/nsb427388

Dospekhov B.A. Metodika polevogo opyta. M.: Agropromizdat, 1985. 351 p. [in Russian]

Sedlovskiy A.I., Martynov S.P., Mamonov L.K. Genetiko-statisticheskie podkhody k teorii selektsii samoopyliaiushchikhsia kul'tur. Alma-Ata, 1982. 200 p. [in Russian]