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ISSN: 2524-0714

Please use this identifier to cite or link to this item: http://elar.tsatu.edu.ua/handle/123456789/18090
Title: Prediction of Cherry Fruit Technological Characteristics by RIDGE-regression Method.
Other Titles: Прогнозування технологічних показників плодів вишні методом RIDGE-регресії.
Authors: Ivanova, Iryna
Іванова, Ірина Євгенівна
Serdyuk, Maryna
Сердюк, Марина Єгорівна
Tymoshchuk, Tetyana
Тимощук, Тетяна Миколаївна
Malkina, Vira
Малкіна, Віра Михайлівна
Shkinder-Barmina, Anna
Шкіндер-Барміна, Анна Миколаївна
Drobitko, Antonina
Zahorko, Nadiia
Загорко, Надія Петрівна
Mulienok, Yana
Shepel, Andreii
Savchuk, Yurii
Keywords: Cultivars;Air Humidity Index;Cultivars;Regression Model;Fruit;The ratio of stone to pulp;Weather factors;Analysis of Variance
Issue Date: 2024
Citation: Prediction of Cherry Fruit Technological Characteristics by RIDGE-regression Method. Ivanova, I., Serdiuk, M., Tymoshchuk, T., Malkina, V., Shkinder-Barmina, A….Zahorko, N. et al. Future of Food: Journal on Food, Agriculture and Society. 2024. 12 (1), p.39-50. DOI: 10.17170/kobra-202407218427
Abstract: Sour cherry is a valuable fruit crop which is in demand on the European market. At present the interest to sour cherry fruits increases due to their high nutritional value and to sensory properties of a sour cherry. It promotes to the expansion of a cultivar assortment of a fruit crop and stimulates the acquisition of knowledge about the fruits quality. The purpose of the research was to develop the mathematical model for the forecasting of a formation of fruit and stone weight in sour cherry cultivars irrespective of the environmental conditions. The research was conducted during 2007-2019 in the conditions of a Southern- Steppe zone of Ukraine. Theoretical, measuring and weighing, statistical. For the study, fruits from 10 varieties of cherries in the stage of consumer ripeness (100 pieces) were selected from 3-5 typical trees. The fruits were weighed and the weight of one fruit was determined. The average cherry fruit weight during the years of studying equaled 5.93 g, and the average stone weight equaled 0.39 g. Three sour cherry cultivars (Siyanets Turovtseva, Griot Melitopolskyi and Vstrecha) with the biggest average weight of a fruit from 7.48 tо 7.87 g were chosen. The sour cherry cultivars Siyanets Turovtsevoi, and Vstrecha were characterized by a big fruit weight under optimal variability of 16.68% and 18.82% respectively. The cultivar Shalunia had the lightest stone weight in sour cherry fruits. The optimal correlation between the stone weight and the cherry fruit pulp (4.8%) was determined in a Vstrecha. According to a two-way analysis of variance, the dominating effects of the environmental conditions on the formation of a fruit weight and on the formation of a stone weight in fruits of sour cherry have been established. The average monthly precipitation in May and the average monthly air humidity during a year, which received the 1st and the 2nd ranks, had decisive effects on the formation of fruit and stone weight in the fruits of a sour cherry.
URI: http://elar.tsatu.edu.ua/handle/123456789/18090
DOI: DOI: 10.17170/kobra-202407218427
Appears in Collections:Кафедра Рослинництва та садівництва ім. професора В.В. Калитки

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