Variability of performance and its structural elements in spring barley cultivars
DOI:
https://doi.org/10.30835/2413-7510.2019.172660Keywords:
spring barley, growing conditions, performance, performance structure elements, variation, correlationAbstract
The aim and tasks of the study. Mutual influence of performance elements and the strength of this influence to predict the effectiveness of selections for performance in spring barley breeding were studied, and the least varying performance traits were identified.
Material and methods. The study was conducted in variety testing experiments with a plot area of 10 m2 in 2015–2018. Thirty typical plants were harvested for structural analysis. The significance of differences was assessed by analysis of variance in a Microsoft Excel spreadsheet. Six varieties selected out of 25 accessions, because they were the most highly productive and adapted, were taken as the test material.
Correlation analysis was performed, and the variation coefficients were computed, as BA Dospekhov described [22] using the Microsoft Excel spreadsheet and STATISTICA 10 software; their significance levels were assessed with the STATISTICA 10 software.
Results and discussion. We found that in this sample of cultivars the spike length (V = 1.46–5.18%) was the least varying, depending on the growing conditions, and the grain weight per spike (V = 11.8–45.7%) and performance (V = 8.50–43.90%) were the most varying. There was only a close linear relationship between the performance and the grain number in the main spike; the productive tillering did not always determine the performance, as it depended on the weather conditions. In terms of variability degree, we established that in this sample of cultivars Avhur was the most plastic and responded to changes in the growing conditions, and Khors and Ahrarii showed stable performance.
Changes in the direction and strength of correlations between the performance elements depended on the growing conditions. Under the influence of specific conditions, the contributions of structural elements to the performance redistributed, that is, a compensatory effect was observed.
Conclusions. The expression variability of the performance elements and their correlations depended on the growing conditions; therefore, many years of research are needed to establish patterns. For this sample of high-yielding cultivars, the productive tillering is not always a determinant of the performance; selecting high-yielding accessions, one should focus on the grain number per spike. Cultivar Avhur can be recommended for breeding as a source of high performance, and cultivars Khors and Ahrarii - as sources of stable performance.
References
Zhuchenko АА. Ecological genetics of domestic plants. Cisinau: Shtiintsa, 1980. P. 149–153.
Rahimi-Baladezaie R, Nemati NA, Mobasser HR, Ghanbari-Malidarreh A, Dastan S. Effects of sowing dates and CCC application on yield and yield components of barley (Hordeum vulgare L.) cultivars in the North of Iran. American-Eurasian J. Agric. & Environ. Sci. 2011; 11(1): 49–54.
Mohtashami R. The correlation study of important barley agronomic traits and grain yield by path analysis. International Journal. 2015; 7(1): 111–1219.
Hosinbabaiy A, Aharizad S, Mohammadi A, Yarnia M. Survey, correlation of yield and yield components in 40 lines barley (Hordeum vulgare L.) in region Tabriz. Middle-East Journal of Scientific Research. 2011; 10(2): 149–152.
Budakli Caprici E, Celik N. Correlation and Path coefficient analyses pf grain yield and yield-components in two-rowed of barley (Hordeum vulgare L. convar. disthihon) varieties. Notulae Scientia Biologicae. 2012; 4(2): 128–131.
Abd El-Mohsen AA. Correlation and regression analysis in barley. Scientific Research and Review Journal. 2013; 1(3): 88–100.
Hailu A, Alamarew S, Nigussie M, Assefa E. Correlation and path analysis of yield and yield associated traits in barley (Hordeum vulgare L.) germplasm. Advances in crop science and technology. 2016. URL: www.omicsonline.org.
Shrimali J, Shekhawat AS, Kumari S. Correlation and path analysis studies in barley (Hordeum vulgare L.) genotypes under normal and limited moisture conditions. International Journal of Current Microbiology and Applied Sciences. 2017; 6(8): 1850–1856. DOI: 10.20546/ijcmas.2017.608.218.
Al-Tabbal JA, Al-Fraihat AH. Genetic variation, heritability, phenotypic and genotypic correlation studies for yield and yield components in promising barley genotypes. Journal of Agriculture Science. 2012; 4(3): 193–210. DOI: 10.5539/jas.v4n3p193.
Gocheva M. Study of the productivity elements of spring barley using correlation and path-coefficients analysis. Turkish Journal of Agricultural and Natural Sciences. 2014; 2: 1638–1641.
Kozachenko MR, Solonechna OV..In: Breeding and genetic studies on spring barley. MR Kozachenko, editor. Kharkiv, Plant Production Institute nd. a. VYa Yuriev, 2012. P. 68–75.
Kozachenko MR, Solonechnyi PM. Breeding-genetic peculiarities and efficiency of expansion of the genetic diversity and creation of new varietal forms of spring barley. In: Breeding and genetic studies on spring barley. MR Kozachenko, editor. Kharkiv, Plant Production Institute nd. a. VYa Yuriev, 2012. P. 139–237.
Kompanets KV, Коzachenko MR, Vasko NI, Naumov OG, Solonechnyi PM, Sviatchenko SI. Correlations between quantitative characteristics of spring barley cultivars. Sel. Nasinn. 2016; 109: 40–46.
Vasko NI. Yield and 1000-grain weight in spring barley cultivars and correlations between them. Sel. Nasinn. 2017; 111: 28–39.
Kosheliaev VV, Karpova KA, Kosheliaeva IP. Scientific justification of the performance formation in spring barley influenced by cultivation techniques in the forest-steppe of the Middle Volga Region. Penza, 2013.
Kole PC. Variability, correlation and regression analysis in third somaclonal generation of barley. Barley Genetics Newsletter. 2006; 36: 44–47.
Tamm Ü. The variation of agronomic characteristics of European malting barley varieties. Agronomy Research. 2003; 1: 99–103.
Porumb J, Rusu F, Tritean N. The variation and heritability of some morpho-productive traits of spring barley (Turda 2016). Research J. of Agricultural Science. 2016; 48(4): 132–138.
Jalata Z, Ayana A, Zeleke H. Variability, heritability and genetic advance for some yield and yield related traits in Ethiopian barley (Hordeum vulgare L.) landraces and crosses. Int. J. of Plant Breeding and Genetics. 2011; 5(1): 44–52. DOI: 10.3923/ijpbg.2011.44.52.
Ahmadi J, Vaezi B, Pour-Aboughadareh A. Analysis of variability, heritability and interrelationships among grain yield and related characters on barley advanced lines. Genetika. 2016; 48(1): 73–85. DOI: 10.2298/GENSR1601073A.
Vasko NI, Solonechnyi PM, Kozachenko MR, Naumov OG, Vazhenina OE, Solonechna OV, Zymogliad OV. Variability of performance and its structural elements in spring barley cultivars. Myronivskyi visnyk. 2017; 5: 21–31.
Dospekhov BA. Metods of field experience. Мoscow: Аgropromizdat, 1985. 351 p.
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