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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">vetpress</journal-id><journal-title-group><journal-title xml:lang="ru">Аграрная наука</journal-title><trans-title-group xml:lang="en"><trans-title>Agrarian science</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0869-8155</issn><issn pub-type="epub">2686-701X</issn><publisher><publisher-name>Редакция журнала "Аграрная наука"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32634/0869-8155-2024-384-7-125-129</article-id><article-id custom-type="elpub" pub-id-type="custom">vetpress-3176</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>АГРОНОМИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>AGRONOMY</subject></subj-group></article-categories><title-group><article-title>Ширина листа — маркерный признак высокой урожайности зеленой массы сорго сахарного</article-title><trans-title-group xml:lang="en"><trans-title>Leaf width as a marker trait of high productivity of sweet sorghum green mass</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0409-5855</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ковтунова</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kovtunova</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Наталья Александровна Ковтунова - ведущий научный сотрудник, кандидат сельскохозяйственных наук </p><p>Научный городок, 3, Зерноград, 347740</p></bio><bio xml:lang="en"><p>Natalia Alexandrovna Kovtunova - Leading Researcher, Candidate of Agricultural Science </p><p>3 Nauchny Gorodok, Zernograd, 347740</p></bio><email xlink:type="simple">n-beseda@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7510-7705</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ковтунов</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kovtunov</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Владимир Викторович Ковтунов - ведущий научный сотрудник, кандидат сельскохозяйственных наук  </p><p>Научный городок, 3, Зерноград, 347740</p></bio><bio xml:lang="en"><p>Vladimir Viktorovich Kovtunov - Leading Researcher, Candidate of Agricultural Science </p><p>3 Nauchny Gorodok, Zernograd, 347740</p></bio><email xlink:type="simple">kowtunow85@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4349-8489</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Романюкин</surname><given-names>А. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Romanyukin</surname><given-names>A. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Егорович Романюкин - старший научный сотрудник, кандидат сельскохозяйственных наук  </p><p>Научный городок, 3, Зерноград, 347740</p></bio><bio xml:lang="en"><p>Aleksander Egorovich Romanyukin - Senior Researcher, Candidate of Agricultural Science </p><p>3 Nauchny Gorodok, Zernograd, 347740</p></bio><email xlink:type="simple">sorgo.vniizk@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Аграрный научный центр «Донской»<country>Россия</country></aff><aff xml:lang="en">Agricultural Research Center “Donskoy”<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>30</day><month>07</month><year>2024</year></pub-date><volume>0</volume><issue>7</issue><fpage>125</fpage><lpage>129</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ковтунова Н.А., Ковтунов В.В., Романюкин А.Е., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Ковтунова Н.А., Ковтунов В.В., Романюкин А.Е.</copyright-holder><copyright-holder xml:lang="en">Kovtunova N.A., Kovtunov V.V., Romanyukin A.E.</copyright-holder><license 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.vetpress.ru/jour/article/view/3176">https://www.vetpress.ru/jour/article/view/3176</self-uri><abstract><p>Актуальность. Цель работы — на основе корреляционно-регрессионного анализа выявить основные признаки, оказывающие влияние на урожайность зеленой массы сорго сахарного. Определен маркерный признак высокой урожайности сорго сахарного — ширина листа, относительная простота измерения которого значительно облегчает селекционную работу при анализе урожайности в полевых условиях, а также выделены образцы коллекции с высокими значениями признака, рекомендуемые использовать как источники. Методика. Исследования проводились в 2021–2023 гг. Объект исследований — коллекционные образцы сорго сахарного. Почвенный покров опытного участка представлен обыкновенным карбонатным черноземом. Метеорологические условия в 2021–2023 гг. были контрастны. ГТК за май — сентябрь в 2021 г. составил 0,82, в 2022-м — 0,52, в 2021-м – 0,81, что говорит о средней засушливости (2022 г.) и недостаточной увлажненности в 2021 и 2023 гг. Результаты. Установлено, что при повышении площади листовой поверхности от 96 до 450 см2 урожайность зеленой массы на силос увеличивается с 15 до 46 т/га. Корреляционный анализ подтверждает данную связь — r = 0,50 ± 0,06. Прослеживается рост урожайности зеленой массы на 0,08 т/га при увеличении площади листа на 1 см2. При увеличении ширины листа с 3 до 10 см урожайность зеленой массы возрастает с 18 до 48 т/га. Согласно корреляционно-регрессионному анализу, увеличение ширины листа на 1 см сопровождается ростом урожайности на 4,8 т/га при r = 0,52 ± 0,06. Выделены образцы с наибольшими значениями ширины и площади листовой поверхности: Зерноградское 1 УК, Волжское 51/1, Sweet Oxley Amber, К-1798/1, К-3054/1, К-4575, Зерноградское 1/1332. </p></abstract><trans-abstract xml:lang="en"><p>Relevance. The purpose of the work is to identify the main signs influencing the yield of the green mass of sugar sorghum on the basis of correlation and regression analysis. There has been identified a marker trait for high productivity of sweet sorghum, it is leaf width, the relative ease of measurement of which greatly facilitates breeding work when analyzing productivity in the field, and there have been identified collection samples with high values of the trait, recommended for use as sources. Methods. The study was carried out in 2021–2023. The objects of the study are collection samples of sweet sorghum. The soil of the experimental plot is represented by ordinary carbonate blackearth. Weather conditions of 2021–2023 were contrasting. The meteorological conditions in 2021–2023 were contrasting. The GTC for May — September in 2021 was 0.82, in 2022 — 0.52, in 2021 — 0.81, which indicates average aridity (2022) and insufficient moisture in 2021 and 2023. Results. There has been established that with an increase in leaf surface area from 96 to 450 cm², the yield of green mass for silage increases from 15 to 46 t/ha. Correlation analysis confirms this relationship r = 0.50 ± 0.06. There is an increase in the yield of green mass by 0.08 t/ha with an increase in leaf area by 1 cm². With an increase in leaf width from 3 to 10 cm, the yield of green mass increases from 18 to 48 t/ha. According to correlation and regression analysis, an increase in leaf width by 1 cm is accompanied by an increase in productivity by 4.8 t/ha at r = 0.52 ± 0.06. There have been identified the samples with the largest values of width and leaf surface area Zernogradskoe 1 UK, Volzhskoe 51/1, Sweet Oxley Amber, K-1798/1, K-3054/1, K-4575, Zernogradskoe 1/1332. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>сорго</kwd><kwd>урожайность</kwd><kwd>сорт</kwd><kwd>площадь листа</kwd><kwd>корреляция</kwd></kwd-group><kwd-group xml:lang="en"><kwd>sorghum</kwd><kwd>productivity</kwd><kwd>variety</kwd><kwd>leaf area</kwd><kwd>correlation</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Работа выполнена в рамках государственного задания ФГБНУ «АНЦ “Донской”» (тема № 0505-2022-0003).</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The work was carried out within the framework of the state task of the Federal State Budgetary Budgetary Institution «ANTS “Donskoy”» (topic No. 0505-2022-0003).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Souza Ê.G.F. et al. 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