Open AccessBiometric assessment of the corn gene pool by biochemical composition
Author(s) -
С. А. Зайцев,
Д. И. Волков,
Denis Babushkin,
Svetlana Guseva,
Yuri Kalinin,
Anna Erohina
Publication year - 2022
Language(s) - English
DOI - 10.51419/202122212
Subject(s) - diallel cross , hybrid , composition (language) , gene , biology , biometrics , microbiology and biotechnology , genetics , agronomy , computer science , artificial intelligence , philosophy , linguistics
The article discusses the results of the application of diallel analysis in the study of the biochemical composition of grain of self-pollinated maize lines. The average values of the content of protein, fat, fiber, ash, and BEV in the grain were noted. The effects of the general combinational ability and the dispersion of the specific combinational ability of the lines according to the studied features are revealed. Keywords: CORN, LINE, HYBRIDS, VARIABILITY, GCA, SCA, DIALLEL ANALYSIS