An advanced approach to the assessment of varieties for the determination of their differences both within the DUS test and breeding is a combination of morphological traits and DNA markers. An implementation of this approach includes a correlation assessment between genetic distances matrices. To this end, the Mantel test is applied. The purpose of the study was to identify the main advantages and disadvantages of different software products for the Mantel test based on correlation investigation between DNA markers and morphological traits of lettuce varieties and maize lines. As a result of correlation calculation between 8 SSR markers and 36 morphological traits of 100 maize lines by XLSTAT (software for Microsoft Excel) p-value (probability of obtaining test results) was 0.0005. The value of this indicator obtained by PASSaGE software was 0.034. There was a pvalue of 0.045, which was calculated by GenAlEx 6.5 in Microsoft Excel (MS Excel). A similar result (0.036) was obtained by software environment R. The pvalues, which were calculated between 7 EST-SSR markers and 32 morphological traits for four lettuce varieties by XLSTAT, PASSaGE, GenAlEx, and R, were 0.033, 0.039, 0.038, and 0.035, respectively. In the study, the upper-tailed test served an alternative hypothesis type, the level of significance α was 0.05, the type of correlation was Pearson correlation, and the Monte Carlo method was used for p-value computation. Thus, the obtained p-values allow to reject the null hypothesis (H0) and adopt the alternative hypothesis Ha of correlation (p α). The correlation coefficient for maize lines was 0.05 and for lettuce varieties 0.65. Therefore, XLSTAT and software environment R are the most suitable instruments for correlation assessment between genetic distances.
Purpose. To estimate the ecological plasticity of common millet yield under conditions of Steppe, Forest-Steppe and Forest of Ukraine. Methods. Mathematical and statistical: determination of stability and plasticity by Eberhart & Russell method, correlation analysis. Results. As a result of correlation analysis of millet cultivated areas during the period of 2011–2020, it was revealed that cultivated areas in Ukraine depend on the world ones (r = 0.34). It was determined that a high level of common millet yield was obtained in the forest-steppe zone, namely in Poltava, Khmelnytskyi, Cherkasy, Sumy and Kharkiv regions (2.20–2.51 t/ha). Quite high rates of yield were obtained in Vinnytsia, Kyiv (Forest-Steppe zone) and Kirovohrad (Steppe zone) regions (1.86–2.02 t/ha). Low yield over 10 years was noted in Rivne, Zhytomyr and Volyn regions, which belong to the Forrest zone (1.09–1.34 t/ha). It is shown that during 2011–2015 high variability of millet yield was observed in Khmelnytskyi, Vinnytsia and Volyn regions. The coefficient of variation was 42.0–71.3%. During 2016–2020 significant variation was noted in Donetsk, Volyn and Odesa regions. The coefficient of variation was 31.8–43.9%. In the period from 2016 to 2020, high plasticity of the yield trait was noted in Vinnitsa, Kyiv, Kharkiv, Poltava, Cherkasy, Sumy and Khmelnitsky regions. During 2016–2020 high plasticity trait of millet yield was in Vinnytsia, Kyiv, Sumy, Kharkiv, Khmelnytskyi, Cherkasy and Poltava regions. Conclusions. According to the results of the studies, it was found that with a reduction in the area under millet in the world, the volume of its production in Ukraine increases. It was determined that the highest yield of millet was obtained in the Forest-Steppe zone during the years of observation. According to the plasticity of millet yield, it was found that favorable conditions for realization of its biological potential were in Donetsk and Kirovohrad regions of Steppe zone, in Forest-Steppe zone of Vinnytsia, Poltava, Kyiv, Kharkiv, Khmelnytskyi, Cherkasy and Sumy regions.
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