Correlation between yield capacity and 1000-grain weight in spring barley varieties

Authors

DOI:

https://doi.org/10.30835/2413-7510.2017.104883

Keywords:

spring barley, yield capacity, 1000-grain weight, correlation, regression

Abstract

The aim and tasks of the study.The study objective was to determine the weather influence on yield parameters of barley varieties and to evaluate correlation between the yield capacity and 1000-grain weight.

Materials and methods.The study was conducted in variety trial nurseries of the Plant Production Institute nd. A VYa Yuryev of NAAS in 2006–2016. The starting material was 16 spring barley varieties of different origin: from Ukraine, the Netherlands, Denmark, and Germany. Data were statistically processed by ANOVA using the STATISTICA 10 program; post hoc comparison was conducted according to Homogenous Groups (Fisher LSD). The linear relationship strength was determined by correlation analysis and the degree of influence of one parameter on another – by regression analysis.

Results and discussion.The study found that 2008 was the most favorable year for barley, as the average yield across varieties was 6.75 t/ha and 1000-grain weight was48.8 g. These are the highest yield parameters over the 11-year period of research. 2014, 2006 and 2011 were also favorable. 2012, 2009 and 2013 were arid years, and 2013, with the lowest yield of 2.66 t/ha, was the most unfavorable for barley.

Variance analysis showed no significant differences in the average yield between varieties, but post hoc comparison revealed such differences. Pairwise comparison of yields demonstrated that the yield capacity of varieties Kangoo (3.77 t/ha) and Vakula (3.79 t/ha) was considerably lower than that of Alegro (4.89 t/ha) and Parnas (4.90 t/ha).

There were significant differences in 1000-grain weight both between varieties and between years. We identified varieties with the largest grains (Alegro [49.7 g], Etyket [49.8 g]) and with the smallest ones (Sebastian, Pasadena). In 2014, all the varieties had significantly higher 1000-grain weights than in other years, and in 2010 – significantly lower.

There was a weak significant positive correlation (r = 0.273) between the yield capacity and 1000-grain weight. A moderate linear relationship is only specific for Alegro (r = 0.773) and Modern (r = 0.662). This is attributed to the fact that Alegro has very large grain, which could not but affect the yield level, and Modern is characterized by low productive tilling capacity, therefore, the yield is formed to a large extent due to 1000-grain weight.

Conclusions.Thus, it was established that the yield capacity and 1000-grain weight largely depended on cultivation conditions. At the same time, there is a weak correlation between the studied parameters, and it depends on varietal features. Most varieties do not have significant correlations, indicating that generally 1000-grain weight is not a determinant of yield for a given barley cultivation zone. This is confirmed by a weak positive regression between the studied parameters (b = 0.273, p = 0.0002 with significance level p <0.05).

Author Biography

Н. І. Васько, Plant Production Instituttend.a V. Ya. Yuriev of NAAS, Ukraine

Провідний науковий співробітник лабораторії селекції та генетики ячменю

References

LangerI. Basic principles of brewing barley breeding. Selgen PLC, selection station Stupice, Sibřina. – Availablefrom: http://www.propivo.ru/index.html. – 26.05.04.

Mareniuk OB. Breeding and genetic evaluation of spring barley starting material on overacid soils of the Right-Bank Forest-Steppe. [dissertation]. Vinnytsia, 2015.

Hadjichristodopulu A. Stability of 1000-grain weight and its relation with other traits of barley in dry areas. Euphytica. 1990; 51(1): 11–17.

Sherwan ET, Taban NHA, Suaad MSA, Dana AA. Correlation and path coefficient analysis of grain yield components in some barley genotypes created by full diallel analysis in Sulaimani region for F2 generation. Intern. J. of Plant., Anim. and Environ. Scien. 2015; 5(4): 76–79.

Abdorreza Jouyban, Hossein Sadeghi Give, Morteza Noryan. Relationship between agronomic and morphological traits in barley varieties under drought stress condition. Inter. Res. J. of Applied and Basic Scien. 2015; 9(9): 1507–1511.

Ashraf A Abd El-Mohsen. Correlation and regression analysis in barley. Scien. Res. And Rev. J. 2013;1(3): 88–100.

Hallu A, Alamerew S, Nigussie A, Assefa E. Correlation and path coefficient analysis of yield and yield associated traits in barley (Hordeum vulgare L.) germplasm. Adv. Crop. Sci. Tech. 2016; 4(2): 216–222.

Mohtashami R. The correlation study of important barley agronomic traits and grain yield by path analysis. Biological Forum – An Inter. J. 2015; 7(1): 1211–1219.

Nikitina VI. Variability of economic characteristics of soft spring wheat and barley in the Forest-Steppe zone of Siberia and its importance for breeding.[dissertation]. Krasnoyarskiy gosudarstvennyi agrarnyi universitet. Sankt-Peterburg, 2007. 40 p.

Pakul VN, Martynova SV, Kozyrenko MA. Formation of productivity components in barley and oat varieties of different origin in a risky farming zone. Proceeding of the IV International research and practice conference. Vol. 1. Munich. April 10–11, 2013. Publishing office Vela Vertag Waldkraiburg; Munich, Germany, 2013. P. 441–447.

Kozachenko MR, Vasko NI, Naumov OG, Vazhenina OE, Matviets NM, Sadovoy OO. Response of spring barley varieties and lines to weather conditions. Visnyk Tsentru naukovogo zabezpechennia APV Kharkivskoyi oblasti. 2010; 9.: 108−116.

Kompanets KV, Kozachenko MR, Vasko NI, Naumov OG, Solonechniy PN, Sviatchenko SI. Correlation between traits of spring barley varieties. Sel. nasinn.2016; 109: 40–46.

Kozachenko MR, Solonechniy PM, Vasko NI. The level of variability and correlations of quantitative traits in the form of different varieties of spring barley. Sel. nasinn. 2011; 100: 46–58.

Kozachenko MR, Naumov OG, Vasko NI. Breeding-genetic peculiarities of barley with various amylopectin contentin starch. Visnyk KharkivskogoNAU, Ser. «Roslynnytstvo, selektsia I nasinnytstvo, plodoovochivnytstvo». 2011; 10′11: 8–21.

Turnin SL, Karimova LZ, Nizhegorodtseva LS, Safin RI. Environmental plasticity of varieties of spring barley in the Republic of Tatarstan. Vestnik Kazanskogo GAU. 2015; 2(36): 164–166. DOI: 10.12737/12522.

Yakovlev VK, Pershakov AYu, Belkina RI. Barley yield capacity and its components influenced by growth regulators and fungicide in the Northern Trans-Urals. Molodoy uchenyi.2016; 6.5: 43–46.

Golub AS. Yield formation and grain quality of spring barley varieties upon fertilization on leached chernozem. [dissertation]. [Stavropolsky GAU]. Stavropol, 2009.

Budakli Caprici E, Celik N. Correlation and path coefficient analysis of grain yield and yield components in two-rowed of barley (Hordeum vulgare convar. distichon) varieties. Notulae Scientia Biologicae. 2012; 4(2): 128–131. DOI: 10.15835/nsb427388.

Mohtasham Mohammadi. Character association and path analysis for selection criteria in barley breeding under rainted conditions. Curr. Opin. Agric. 2015; 4(1): 5–9.

Braziene Z. Spring barley yield and productivity components as affected by nitrogen fertilization and weather conditions. Zemdirbyste-Agriculture. 2007; 94(1): 89–99.

Published

2017-06-22

Issue

Section

METHODS AND RESULTS SELECTION