Урожайність та адаптивність миронівських сортів ячменю ярого різних періодів селекційної роботи

В. М. Гудзенко; Т. П. Поліщук; О. О. Бабій; Л. В. Худолій

doi:10.21498/2518-1017.14.2.2018.134766

Authors

В. М. Гудзенко The V. M. Remeslo Myronivka Institute of Wheat, NAAS of Ukraine, Ukraine https://orcid.org/0000-0002-9738-1203
Т. П. Поліщук The V. M. Remeslo Myronivka Institute of Wheat, NAAS of Ukraine, Ukraine https://orcid.org/0000-0001-9358-9181
О. О. Бабій The V. M. Remeslo Myronivka Institute of Wheat, NAAS of Ukraine, Ukraine https://orcid.org/0000-0003-3395-3732
Л. В. Худолій Ukrainian Institute for Plant Variety Examination, Ukraine https://orcid.org/0000-0002-9586-7592

DOI:

https://doi.org/10.21498/2518-1017.14.2.2018.134766

Keywords:

spring barley, variety, yield, stability, genotype–environment interaction, adaptability indices, correlation, AMMI, GGE biplot

Abstract

Purpose. To give comparative estimation of yield productivity and adaptability of spring barley varieties, developed at the V. M. Remeslo Institute of Wheat of NAAS and included to the State Register of Ukraine during 1995–2017.

Methods. The study was carried out at the V. M. Remeslo Institute of Wheat of NAAS during 2013–2017 according to accepted methods. Objects of the research – 19 Myronivka spring barley varieties, registered in Ukraine during 1995–2017. To characterize the “genotype–environment” interaction and varieties differentiation according to productivity and stability, a number of the most used approaches were applied: S. A. Eberhart, W. A. Russel (1966); G. Wricke (1962); C. S. Lin, M. R. Binns (1988); M. Huehn (1990); A.V. Kilchevskiy, L.V. Khotyleva (1985); V. V. Khangildin, N. A. Litvinenko (1981); J. L. Purchase et al. (2000); AMMI; GGE biplot.

Results.The share of year’s conditions in the common variation was 83.40%. Reliable, but significantly lower values were calculated for genotype – 10.65% and “genotype–environment” interaction – 5.95%. The first two principal components of the GGE biplot explain the slightly higher percentage of the “genotype–environment” interaction (85.58%) in comparison with the AMMI model (80.90%). Correlation analysis revealed above-average positive interrelation of average productivity (Mean) with the maximum (Max) (r = 0.69) as well as the minimum (Min) (r = 0.72) levels. The strong positive correlation was peculiar to Mean with parameters SVG_i (r = 0.88), Hom (r = 0.86), Sc (r = 0.82). The strong negative correlation was registered for Mean with P_i(r = -0.96). For Max only average negative correlation with P_i (r = -0.60) was found. Mіn strongly correlated with Sc (r = 0.96), SVG_i (r = 0.87) and Hom (r = 0.84). The strong negative correlation Min with Sg_i (r = -0.86) was observed. Between the some indices correlation varied from functional and very strong positive: δ²SAA_i and Кg_i(r = 1.00), W_iand Lg_i(r = 0.98), SVG_iand Hom (r = 0.98), SVG_iand Sc (r = 0.96), S²_diand W_i(r = 0.96), W_iandASV(r = 0.94), Sc and Hom (r = 0.94), δ²SAA_i and b_i (r = 0.93), S²_diandASV (r = 0.93) to strong negative: Sg_iandSVG_i (r = -0.94), Sg_iand Sc(r = -0.92), Sg_iand Hom (r = -0.91), P_iandSVG_i (r = -0.83), P_iand Sc (r = -0.80), P_iand Hom (r = -0.79).

Conclusions. The systemic comparative estimation with statistical and graphical approaches shows that new spring barley varieties ‘Virazh’, ‘Talisman Myronivskyi’, ‘MIP Myrnyi’, ‘MIP Saliut’, ‘MIP Sotnyk’, ‘MIP Azart’, ‘MIP Bohun’ included to the State Register of Ukraine during 2016–2017 have advantages over older varieties by both productive and adaptive potential.

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Author Biographies

В. М. Гудзенко, The V. M. Remeslo Myronivka Institute of Wheat, NAAS of Ukraine

Volodymyr Hudzenko

Т. П. Поліщук, The V. M. Remeslo Myronivka Institute of Wheat, NAAS of Ukraine

Tetiana Polishchuk

О. О. Бабій, The V. M. Remeslo Myronivka Institute of Wheat, NAAS of Ukraine

Olha Babii

Л. В. Худолій, Ukrainian Institute for Plant Variety Examination

Liudmyla Khudolii

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