The use of multicriteria optimization method in selecting protoclones in the population of the ‘Kokur Belyi’ grape variety
The article presents data on 11 biological and economical traits of 100 mother vines of the ‘Kokur Belyi’ for the period of 2019-2021. The research was carried out at the production plot of the ‘Kokur Belyi’ grape variety (No. 361, AZOS-1 pruning, planting scheme 3 × 1.25) in the Alushta branch of FSUE PJSC Massandra. According to the average of indicators for three years of research using method of multicriteria optimization, we selected 25 protoclones of the ‘Kokur Belyi’ variety (protoclones of the first vegetative voltine) with the lowest function indicators in the range from φ = 3.330 to φ = 6.103. The choice of the best bush was determined from the conditions of the closest approximation to the ideal, i.e. interval [φ(x<sub>i</sub>); x<sup>u</sup>]→min. Therefore, the smaller the value of the protoclone function φ(x<sub>i</sub>), the better the bush. Target function values for 100 bushes were compared, after that protoclones were separated by the lowest indicators, determining the best bushes. The use of multicriteria optimization method provides an objective approach to the selection of protoclones, excluding the units of measurement of the studied characteristics, converting them into a nondimensional form. For further research, from the selected 25 bushes of grapes of the ‘Kokur Belyi’ variety, vines will be gathered for table grafting, followed by the establishment of a clone-testing plot of the first vegetative voltine of the ‘Kokur Belyi’ variety.