Open AccessIdentification of rare quantitative traits of leaf and a flower in Rosa L. and analysis of correlations
Author(s) -
Viktoria Kryuchkova,
Tatiana Aniskina,
Anastasia Pokinchereda,
Vitaly Donskih
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/723/2/022026
Subject(s) - identification (biology) , biology , selection (genetic algorithm) , originality , botany , horticulture , sociology , social science , artificial intelligence , computer science , qualitative research
The article examines the quantitative traits of leaves and flowers in 49 varieties of roses from the collection of the Tsytsin Main Moscow Botanical Garden of Academy of Sciences. The method for determining the coefficients of originality of Smirnov made it possible to identify unique and typical gradations of traits that are important for directional selection. The varieties Snowflake, Peer Gynt, Akito Blushing, Mainzer Fastnacht, Heidelberg, Troika are the most original in terms of their complex of characteristics. Pearson’s method of correlation analysis showed positive relationships between leaf traits.