ORGANIZATIONAL MODEL OF PEDUNCULATE OAK BREEDING BASED ON CYTOGENETIC AND MORPHOLOGICAL MARKERS

Author:

Popova Anna1,Morkovina Svetlana2,Ivanova Anna3

Affiliation:

1. Voronezhskiy gosudarstvennyy lesotehnicheskiy universitet imeni G.F. Morozova

2. Voronezh State University of Forestry and Technologies named after G.F. Morozov

3. FGBOU VO «Voronezhskiy gosudarstvennyy lesotehnicheskiy universitet imeni G.F. Morozova»

Abstract

The article discusses the issues of creating an organizational model of selection based on cytogenetic and mor-phological markers for reforestation in the conditions of the central forest-steppe. The results of the development of an organizational model are presented, presented by a complex of context diagrams, created in the software product Busi-ness Studio 4.0. The decomposition of selection processes based on cytogenetic and morphological markers in the form of context diagrams made it possible to visualize the identification process of pedigree genotypes of pedunculate oak and to build in space and time a sequential process of using additional selection markers in conjunction with classical breeding approaches, selection of methods and means of achieving breeding goals. Providing the visibility of the pe-dunculate oak breeding process based on cytogenetic and morphological markers allows, due to the technological de-scription of the composition of the processes, the characteristics of the consumed resources (material, labor and finan-cial), to get an idea of the process under study and quickly draw a logical conclusion from the large amount of data obtained. The model organization of the process of creating forest plantations of fast-growing species was carried out with the aim of the most efficient use of technology and an increase in labor productivity, which determines its promising use as a selection tool and makes it possible to accelerate the selection process of Quercus robur L. offspring when creating forest crops

Publisher

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Reference13 articles.

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