Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression

Sweet cherries are a favourite stone crop among consumers of fruit products. At present, the demand for sweet cherries is growing, which encourages the expansion of the varietal range of crops with different ripening periods. The purpose of this study was to develop a mathematical model for predicti...

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Main Authors: Iryna Ivanova, Marina Serdyuk, Vira Malkina, Tetiana Tymoshchuk, Anna Shkinder-Barmina
Format: Article
Language:English
Published: Zhytomyr National Agroecological University 2022-08-01
Series:Наукові горизонти
Subjects:
Online Access:https://sciencehorizon.com.ua/en/journals/tom-25-5-2022/otsinka-vplivu-pogodnikh-faktoriv-na-kilkisni-pokazniki-plodiv-chereshni-metodom-ridge-regresiyi
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author Iryna Ivanova
Marina Serdyuk
Vira Malkina
Tetiana Tymoshchuk
Anna Shkinder-Barmina
author_facet Iryna Ivanova
Marina Serdyuk
Vira Malkina
Tetiana Tymoshchuk
Anna Shkinder-Barmina
author_sort Iryna Ivanova
collection DOAJ
description Sweet cherries are a favourite stone crop among consumers of fruit products. At present, the demand for sweet cherries is growing, which encourages the expansion of the varietal range of crops with different ripening periods. The purpose of this study was to develop a mathematical model for predicting the formation of fruit and sweet cherry pyrene mass depending on weather factors and varietal characteristics. The study was conducted during 2008–2019 in the conditions of the Southern Steppe zone of Ukraine on 33 varieties of sweet cherries of early, medium, and late ripening periods. The average mass of the sweet cherry fruit over the years of research was 8.41 g, and the average mass of the pyrene was 0.56 g. Late-ripening sweet cherry varieties had the best fruit mass (7.27–12.18 g). According to the maximum average mass of the fruit, the varieties Kazka, Dilema, and Kosmichna were distinguished. Sweet Erlise, Pervistok, Melitopol black and Krupnoplidna varieties had the lowest pyrene mass in sweet cherry fruits. In the group of early ripening, the best ratio of pyrene to fruit pulp was found in the Kazka variety, in medium-ripening varieties – Cordia, Perviystok, and Orion, in late-ripening varieties – Udivitelna, Krupnoplidna, and Prazdnichna.The smallest variability in sweet cherry fruit mass in the group of early-ripening varieties was detected in Sweet Erlise, in mid-ripening – Temp, and in late-ripening – Regina, while in pyrene mass – Rubinova Rannia, Vynka and Regina, respectively. Weather conditions had a dominant influence on the formation of fruit mass for all sweet cherry varieties under study, and varietal characteristics had a dominant effect on pyrene mass. The maximum influence on the formation of sweet cherry fruit mass of early varieties was provided by the indicator – the number of days with precipitation in May exceeding 1 mm, and for medium and late ripening varieties – the average monthly amount of precipitation in June. Decisive importance for the formation of pyrene mass in sweet cherry fruits of early ripening varieties was the average monthly amount of precipitation in May, in the middle ripening period – the average monthly amount of precipitation in June, in the late ripening period – the number of days with precipitation exceeding 1 mm in May
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spelling doaj.art-3d880007cb034774947e7c21fbf1074b2023-07-06T14:41:14ZengZhytomyr National Agroecological UniversityНаукові горизонти2663-21442022-08-01255607310.48077/scihor.25(5).2022.60-73Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regressionIryna Ivanova0Marina Serdyuk1Vira Malkina2Tetiana Tymoshchuk3Anna Shkinder-Barmina4Dmytro Motornyi Tavria State Agrotechnological University 72312, 18 B Khmelnytsky Ave., Melitopol, UkraineDmytro Motornyi Tavria State Agrotechnological University 72312, 18 B Khmelnytsky Ave., Melitopol, UkraineDmytro Motornyi Tavria State Agrotechnological University 72312, 18 B Khmelnytsky Ave., Melitopol, UkrainePolissia National University 10008, 7 Staryi Blvd., Zhytomyr, UkraineDmytro Motornyi Tavria State Agrotechnological University 72312, 18 B Khmelnytsky Ave., Melitopol, UkraineSweet cherries are a favourite stone crop among consumers of fruit products. At present, the demand for sweet cherries is growing, which encourages the expansion of the varietal range of crops with different ripening periods. The purpose of this study was to develop a mathematical model for predicting the formation of fruit and sweet cherry pyrene mass depending on weather factors and varietal characteristics. The study was conducted during 2008–2019 in the conditions of the Southern Steppe zone of Ukraine on 33 varieties of sweet cherries of early, medium, and late ripening periods. The average mass of the sweet cherry fruit over the years of research was 8.41 g, and the average mass of the pyrene was 0.56 g. Late-ripening sweet cherry varieties had the best fruit mass (7.27–12.18 g). According to the maximum average mass of the fruit, the varieties Kazka, Dilema, and Kosmichna were distinguished. Sweet Erlise, Pervistok, Melitopol black and Krupnoplidna varieties had the lowest pyrene mass in sweet cherry fruits. In the group of early ripening, the best ratio of pyrene to fruit pulp was found in the Kazka variety, in medium-ripening varieties – Cordia, Perviystok, and Orion, in late-ripening varieties – Udivitelna, Krupnoplidna, and Prazdnichna.The smallest variability in sweet cherry fruit mass in the group of early-ripening varieties was detected in Sweet Erlise, in mid-ripening – Temp, and in late-ripening – Regina, while in pyrene mass – Rubinova Rannia, Vynka and Regina, respectively. Weather conditions had a dominant influence on the formation of fruit mass for all sweet cherry varieties under study, and varietal characteristics had a dominant effect on pyrene mass. The maximum influence on the formation of sweet cherry fruit mass of early varieties was provided by the indicator – the number of days with precipitation in May exceeding 1 mm, and for medium and late ripening varieties – the average monthly amount of precipitation in June. Decisive importance for the formation of pyrene mass in sweet cherry fruits of early ripening varieties was the average monthly amount of precipitation in May, in the middle ripening period – the average monthly amount of precipitation in June, in the late ripening period – the number of days with precipitation exceeding 1 mm in Mayhttps://sciencehorizon.com.ua/en/journals/tom-25-5-2022/otsinka-vplivu-pogodnikh-faktoriv-na-kilkisni-pokazniki-plodiv-chereshni-metodom-ridge-regresiyipyrene massfruit massthe ratio of pyrene to fruit pulpvariation of indicatorsclimatic conditionsregression model
spellingShingle Iryna Ivanova
Marina Serdyuk
Vira Malkina
Tetiana Tymoshchuk
Anna Shkinder-Barmina
Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression
Наукові горизонти
pyrene mass
fruit mass
the ratio of pyrene to fruit pulp
variation of indicators
climatic conditions
regression model
title Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression
title_full Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression
title_fullStr Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression
title_full_unstemmed Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression
title_short Assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression
title_sort assessment of the influence of weather factors on the quantitative indicators of sweet cherry fruits by ridge regression
topic pyrene mass
fruit mass
the ratio of pyrene to fruit pulp
variation of indicators
climatic conditions
regression model
url https://sciencehorizon.com.ua/en/journals/tom-25-5-2022/otsinka-vplivu-pogodnikh-faktoriv-na-kilkisni-pokazniki-plodiv-chereshni-metodom-ridge-regresiyi
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AT viramalkina assessmentoftheinfluenceofweatherfactorsonthequantitativeindicatorsofsweetcherryfruitsbyridgeregression
AT tetianatymoshchuk assessmentoftheinfluenceofweatherfactorsonthequantitativeindicatorsofsweetcherryfruitsbyridgeregression
AT annashkinderbarmina assessmentoftheinfluenceofweatherfactorsonthequantitativeindicatorsofsweetcherryfruitsbyridgeregression