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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ovoshchi</journal-id><journal-title-group><journal-title xml:lang="ru">Овощи России</journal-title><trans-title-group xml:lang="en"><trans-title>Vegetable crops of Russia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-9146</issn><issn pub-type="epub">2618-7132</issn><publisher><publisher-name>Федеральный научный центр овощеводства</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18619/2072-9146-2023-2-17-28</article-id><article-id custom-type="elpub" pub-id-type="custom">ovoshchi-2134</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>СЕЛЕКЦИЯ, СЕМЕНОВОДСТВО И БИОТЕХНОЛОГИЯ РАСТЕНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>BREEDING, SEED PRODUCTION AND PLANT BIOTECHNOLOGY</subject></subj-group></article-categories><title-group><article-title>Прижизненное неразрушающее определение площади листьев у растений огурца для массового анализа</article-title><trans-title-group xml:lang="en"><trans-title>Measuring the area of cucumber leaves without separation from the plant for mass analysis</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Курепин</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kurepin</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексей Викторович Курепин – заведующий лабораторией селекции тыквенных культур</p><p>Краснодарский край, Крымский район, х. Новоукраинский, ул. Торговая, д. 5</p></bio><bio xml:lang="en"><p>Aleksey V. Kurepin – Head of the Pumpkin Crops Breeding Laboratory</p><p>5, st. Trading, Novoukrainsky, Krymsky district, Krasnodar Kray</p></bio><email xlink:type="simple">kuralek@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Першин</surname><given-names>А. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Pershin</surname><given-names>A. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Федорович Першин – канд. биол. наук, заведующий лабораторией биотехнологии</p><p>Краснодарский край, Крымский район, х. Новоукраинский, ул. Торговая, д. 5</p></bio><bio xml:lang="en"><p>Alexander F. Pershin – Cand. Sci. (Biology), Head of Laboratory of Biotechnology</p><p>5, st. Trading, Novoukrainsky, Krymsky district, Krasnodar Kray</p></bio><email xlink:type="simple">afpershin@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Муляр</surname><given-names>В. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Mulyar</surname><given-names>V. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Валерий Николаевич Муляр – научный сотрудник лаборатории селекции тыквенных культур</p><p>Краснодарский край, Крымский район, х. Новоукраинский, ул. Торговая, д. 5</p></bio><bio xml:lang="en"><p>Valery N. Mulyar – Researcher, Laboratory of Pumpkin Crops Breeding</p><p>5, st. Trading, Novoukrainsky, Krymsky district, Krasnodar Kray</p></bio><email xlink:type="simple">mulyarvalerii@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Белова</surname><given-names>М. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Belova</surname><given-names>M. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Маргарита Константиновна Белова – студентка агрономического факультета</p><p>350044, г. Краснодар, ул. Калинина, 13</p></bio><bio xml:lang="en"><p>Margarita K. Belova – student of the Faculty of Agronomy</p><p>13, st. Kalinina, Krasnodar,350044</p></bio><email xlink:type="simple">belovamargo@list.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ООО Семеновод</institution><country>Россия</country></aff><aff xml:lang="en"><institution>LLC Semenovod</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Кубанский государственный аграрный университет (КубГАУ)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kuban State Agrarian University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>06</day><month>04</month><year>2023</year></pub-date><volume>0</volume><issue>2</issue><fpage>17</fpage><lpage>28</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Курепин А.В., Першин А.Ф., Муляр В.Н., Белова М.К., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Курепин А.В., Першин А.Ф., Муляр В.Н., Белова М.К.</copyright-holder><copyright-holder xml:lang="en">Kurepin A.V., Pershin A.F., Mulyar V.N., Belova M.K.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.vegetables.su/jour/article/view/2134">https://www.vegetables.su/jour/article/view/2134</self-uri><abstract><p>Актуальность. Разработать математическую модель распределения площади листьев на растении огурца. На ее основе, с помощью измерения минимального количества параметров: длины и ширины наибольшего листа и количества листьев на растении возможно определение площади листовой поверхности растения без их удаления с растений. Методы. Для определения фактической площади листьев пользовались двумя методами: весовым и с использованием сканирования изображения листьев в черно-белом режиме. Формулы математических моделей выводили с помощью регрессионного анализа. Результаты: Разработана и практически опробована система массового определения площади листьев у огурцов. Представлена пошаговая инструкция определения площади листа в обоих случаях: весовым методом и в графическом редакторе по файлу его скана. Точность определения площади составляет при этом ±2%. Система включает в себя разработку математической модели распределения площади листьев по растению на момент учетов. Для практического использования полученных формул этой модели достаточно измерения всего лишь трех параметров на каждом растении: 1-количество листьев, 2-длина и 3- ширина наибольшего типичного листа. Предложен критерий типичности на основе соотношения длины и ширины листа. Модель совпадает с фактической площадью листьев у растений с типичным распределением на уровне ±5%. Это позволяет одному звену в 2 человека измерить до 500 растений за рабочий день. Доля растений с типичным распределением площади листьев колеблется от 90% в начале вегетации до 80-85% - в конце ее. Это позволяет относительно точно при минимальных затратах рассчитывать общую площадь в агротехнических опытах. Листья при этом не получают никаких повреждений и продолжают расти. Заключение: Разработанный метод позволяет проводить учет листовой площади на одних и тех же растениях многократно, на разных фазах онтогенеза и в разные периоды вегетации.</p></abstract><trans-abstract xml:lang="en"><sec><title>Relevance</title><p>Relevance. A mathematical model of the distribution of the leaf area of a cucumber plant has been developed. On this basis, it is possible to determine the area of the leaf surface of the plant without removing them from the plants. By measuring the minimum number of parameters: the length and width of the largest leaf and the number of leaves on the plant.</p></sec><sec><title>Methods</title><p>Methods. We determined the area by two methods: using scales and by scanning the leaves in black-and-white image mode. We present here a step-by-step instruction on determining the area of the sheet in both cases: by weighing and by using graphic editor (program) for his scan file. The accuracy of determining the area is ± 2%.</p></sec><sec><title>Results</title><p>Results. We have developed and practically tested a system for mass determination of the area of cucumber leaves. It includes the development of a mathematical model of the distribution of leaf area by plants at the time of accounting. For practical use of the obtained formulas, it is enough to measure only three parameters on each plant: the number of leaves, the length and width of the largest typical leaf. A typicality criterion based on the ratio of the length and width of the sheet was proposed. The model coincides with the actual plant area with a typical distribution of ±5%. This allows two people to account for up to 500 plants in one working day. The proportion of plants with a typical leaf area distribution ranges from 90% at the beginning of the growing season to 80-85% at its end. This allows relatively accurate calculation of the total area in agrotechnical experiments at minimal cost. The leaves of the plant do not receive any impact and continue to grow at the same time.</p></sec><sec><title>Conclusion</title><p>Conclusion. The developed method allows taking into account the area on the same plants repeatedly, at different phases of ontogenesis and in different periods of vegetation.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>огурец</kwd><kwd>лист</kwd><kwd>площадь листьев</kwd><kwd>математическая модель</kwd></kwd-group><kwd-group xml:lang="en"><kwd>cucumber</kwd><kwd>leaf</kwd><kwd>leaf area</kwd><kwd>mathematical model</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kanemasu E.T., Asrar G., Fuchs M. Application of remotely sensed data in wheat growth modelling. In: Wheat Growth and Modelling. 1985;(86):357-369. Day W. and R.K. Atkin (Eds.). NatoAsi Series, Series A: Life Sciences. 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