Evaluation of morphological traits and genotypes by multivariate statistical methods in some oak species

Автор: Aliyeva Gyullyu, Mammadova Zumrud, Ojagi Javid

Журнал: Бюллетень науки и практики @bulletennauki

Статья в выпуске: 10 т.6, 2020 года.

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In this study, evaluated some morphological traits and genotypes by multivariate statistical methods in some oak species ( Q. castaneifolia C. A. Mey, Q. pedunculiflora C. Koch., Q. iberica Stev., Q. macranthera Fisch. & C. A. Mey ex Hohen, Q. ilex L.). 910 leaves were sampled from 91 trees, 8 population across Azerbaijan, and 6 morphological traits were assessed. The indicator traits were analyzed using multidimensional statistical analysis for each species. As a result of the component analysis, the three-pointer element (PRIN1, PRIN2, PRIN3) explained 86.97% of the variance among genotypes. These results provide identification of valuable species and patterns in the future selection and application of other genetic programs on the improvement of oaks in Caucuses.

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Quercus, anova, pca, leaf morphology, population, variability

Короткий адрес: https://sciup.org/14117610

IDR: 14117610 | DOI: 10.33619/2414-2948/59/01

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