International Transaction Journal of Engineering,
Management, & Applied Sciences & Technologies

FEATURE PEER-REVIEWED ARTICLE

• MORPHO-BIOLOGICAL DIVERSITY OF WINTER WHEAT VARIETIES ASSESSMENT

  Galina G. Goleva, Tatiana G. Vashchenko, Elena M. Oleynikova (Department of Plant and Seed Breeding, and Biotechnologies, Faculty of Agricultural Science, Agricultural Chemistry and Ecology, Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, RUSSIA),
  Aleksandr D. Golev (Department of Fundamentals of Health and Safety, and Legal Relations, Faculty of Mechanics, Voronezh State University of Forestry and Technologies named after G.F. Morozov, Voronezh, RUSSIA),
  Valeriy A. Ivannikov (Department of Machinery Production, Maintenance and Operation, Automobile Faculty, Voronezh State University of Forestry and Technologies named after G.F. Morozov, Voronezh, RUSSIA),
  Tatiana P. Fedulova (Laboratory of Biochemistry and Molecular Biology, A. Mazlumov All-Russian Research Institute of Sugar Beet and Sugar, Voronezh Oblast, Ramonsky Raion, VNIIS pos., RUSSIA).
  

  Disciplinary: Agricultural Sciences (Crop Science).

  ➪ FullText

  DOI: 10.14456/ITJEMAST.2020.185

  Keywords: Wheat hybridization; Hybrids genotypes; Cluster analysis; Breeding samples; Winter wheat; Discriminant analysis; Morpho-biological indicators; Selection of parent components for crosses.

  Abstract
  The work uses the statistical analysis methods for selecting the parent components for winter wheat hybridization. The research was performed in 2005-2016 in the conditions of the Central Chernozem Region. The research object included the varieties of soft winter wheat of various ecological and geographical origins; in different years, with 200-350 varieties. To assess the morpho-biological diversity of genotypes, the authors have tested various methods of statistical data analysis using Statistica 6.1, i.e. cluster analysis (sequential dichotomy, k-means clustering, and hierarchical classification) and neural network data processing (Cohen network). It is found that the k-means method (without limiting the number of groups) provides the most satisfactory results for forming the clusters of genotypes characterized by similar morphological and biological characteristics and used as parent material for selection of soft winter wheat. In this respect, the clustering of varieties is affected by three attributes, i.e., the length of seedling-earing period, plant height, and weight per 1,000 grains. For hybridization crosses, the parent components are selected with the account of their belonging to different clusters. The crossing is performed between the varieties with contrasting characteristics. The k-means method to plan crosses allows obtaining valuable winter wheat hybrids characterized by polymorphism, favorable transgressions, high productivity, winter hardiness, and lodging resistance.
  
  

  Paper ID: 11A10B

  Cite this article:

  Goleva, G.G., Vashchenko, T.G., Oleynikova, E.M., Golev, A.D., Ivannikov, V.A., Fedulova, T.P. (2020). MORPHO-BIOLOGICAL DIVERSITY OF WINTER WHEAT VARIETIES ASSESSMENT. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11(10), 11A10B, 1-10.