<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">zhros</journal-id><journal-title-group><journal-title xml:lang="ru">Зерновое хозяйство России</journal-title><trans-title-group xml:lang="en"><trans-title>Grain Economy of Russia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-8725</issn><issn pub-type="epub">2079-8733</issn><publisher><publisher-name>Федеральное государственное бюджетное научное учреждение "Аграрный научный центр "Донской»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.31367/2079-8725-2021-78-6-27-32</article-id><article-id custom-type="elpub" pub-id-type="custom">zhros-1464</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 И СЕМЕНОВОДСТВО СЕЛЬСКОХОЗЯЙСТВЕННЫХ РАСТЕНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PLANT BREEDING AND SEED PRODUCTION OF AGRICULTURAL CROPS</subject></subj-group></article-categories><title-group><article-title>Взаимосвязь между количественными признаками, определяющими урожайность зерна гибридов кукурузы</article-title><trans-title-group xml:lang="en"><trans-title>Correlation between quantitative traits that affect grain yield of maize hybrids</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5876-7672</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кривошеев</surname><given-names>Г. Я.</given-names></name><name name-style="western" xml:lang="en"><surname>Krivosheev</surname><given-names>G. Ya.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат сельскохозяйственных наук, ведущий научный сотрудник лаборатории селекции и семеноводства кукурузы</p><p>347740, Ростовская обл., г. Зерноград, Научный городок, 3</p></bio><bio xml:lang="en"><p>Candidate of Agricultural Sciences, leading researcher of the laboratory for maize breeding and seed production</p><p>347740, Rostov region, Zernograd, Nauchny Gorodok, 3</p></bio><email xlink:type="simple">genadiy.krivosheev@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/0000-0002-0319-4600</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Игнатьев</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Ignatiev</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат сельскохозяйственных наук, старший научный сотрудник лаборатории селекции и семеноводства кукурузы</p><p>347740, Ростовская обл., г. Зерноград, Научный городок, 3</p></bio><bio xml:lang="en"><p>Candidate of Agricultural Sciences, senior researcher of the laboratory for maize breeding and seed production</p><p>347740, Rostov region, Zernograd, Nauchny Gorodok, 3</p></bio><email xlink:type="simple">ignatev1983@rambler.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБНУ «Аграрный научный центр «Донской»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Agricultural Research Center “Donskoy”</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>24</day><month>12</month><year>2021</year></pub-date><volume>0</volume><issue>6</issue><fpage>27</fpage><lpage>32</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Кривошеев Г.Я., Игнатьев А.С., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Кривошеев Г.Я., Игнатьев А.С.</copyright-holder><copyright-holder xml:lang="en">Krivosheev G.Y., Ignatiev A.S.</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.zhros.online/jour/article/view/1464">https://www.zhros.online/jour/article/view/1464</self-uri><abstract><p>Подбор пар для гибридизации требует знаний о взаимосвязи важнейших количественных признаков, влияющих на урожайность зерна гибридов кукурузы. Исследования проведены в «Аграрном научном центре «Донской» расположенном на юге Ростовской области, характеризующейся неустойчивым увлажнением. Годы изучения (2018–2020) – засушливые (ГТК 0,32–0,89). Цель исследований – изучение зависимостей между количественными признаками и влияния их на урожайность зерна гибридов кукурузы в условиях засухи. Объект исследований – 96 межлинейных гибридов кукурузы. На основе корреляционного анализа выявлено наличие зависимости между урожайностью зерна и количественными признаками: «масса 1 початка» (r = 0,64…0,87), «зерен в ряду початка» (r = 0,37…0,75), «зерен на початке» (r = 0,32…0,51), «початков на 1 растении» (r = 0,41…0,53), «выход зерна» (r = 0,45…0,64). Масса 1000 зерен и количество рядов зерен не влияли, либо слабо влияли на формирование урожая зерна гибридов кукурузы (r = -0,12…0,28). Определены признаки, высокие значения которых, хорошо сочетаемы в одном генотипе. Значения признака «масса 1 початка» возрастали с увеличением зерен в ряду початка (r = 0,27…0,74), зерен на початке (r = 0,26…0,55), выхода зерна (r = 0,21…0,52). Количество зерен на початке увеличивалось с увеличением значений у составляющих его компонентов: «зерен в ряду початка» (r = 0,70…0,76), «рядов зерен на початке» (r = 0,59…0,66), а также с увеличением количества початков на 1 растении (r = 0,32…0,51) и выхода зерна (r = 0,36…0,38). Выделены сложно сочетаемые количественные признаки: снижение массы 1000 зерен происходило с увеличением количества рядов зерен (r = -0,18…-0,56), количества зерен в ряду (r = -0,15…-0,31) и выхода зерна (r = -0,01…-0,36).</p></abstract><trans-abstract xml:lang="en"><p>The selection of pairs for hybridization requires knowledge about the correlation of the most important quantitative traits that affect grain yield of maize hybrids. The current study was carried out in the Agricultural Research Center “Donskoy” located in the south of the Rostov region with unstable moisture. The years of study (2018–2020) were arid (HThC 0.32–0.89). The purpose of the current study was to evaluate the correlation between quantitative traits and their influence on grain yield of maize hybrids under arid conditions. The objects of research were 96 interline maize hybrids. The analysis has identified the correlation between grain yield and such quantitative traits as ‘one maize ear weight’ (r = 0.64...0.87), ‘number of grains per one maize ear row’ (r = 0.37...0.75), ‘number of grains per maize ear’ (r = 0.32...0.51), ‘number of maize ears per plant’ (r = 0.41...0.53), ‘grain yield’ (r = 0.45...0.64). The traits ‘1000-grain weight’ and ‘number of grain rows’ had either no or slight effect on the formation of grain yield of maize hybrids (r = -0.12...0.28). There have been established the traits, the high values of which were well-combining in one genotype. The values of the trait ‘one maize ear weight’ raised due to an increase of the trait ‘number of grains per one maize ear row’ (r = 0.27...0.74), ‘number of grains per maize ear’ (r = 0.26...0.55), ‘grain yield’ (r = 0.21...0.52). The trait ‘number of grains per maize ear’ raised with an increase in the values of such constituent components as ‘number of grains per one maize ear row’ (r = 0.70...0.76), ‘number of grain rows per maize ear’ (r = 0.59...0.66), and also with an increase of ‘number of maize ears per plant’ (r = 0.32...0.51) and ‘grain yield’ (r = 0.36...0.38). There have been identified difficulty-combining quantitative traits, when the value of the trait ‘1000-grain weight’ decreased with the increase of the ‘number of grain rows per maize ear’ (r = – 0.18...-0.56), ‘number of grains per a maize ear row’ (r = -0.15...-0.31) and ‘grain yield’ (r = -0.01...-0.36).</p></trans-abstract><kwd-group xml:lang="ru"><kwd>кукуруза</kwd><kwd>гибрид</kwd><kwd>количественные признаки</kwd><kwd>коэффициенты корреляции</kwd><kwd>изменчивость</kwd></kwd-group><kwd-group xml:lang="en"><kwd>maize</kwd><kwd>hybrid</kwd><kwd>quantitative traits</kwd><kwd>correlation coefficients</kwd><kwd>variability</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">Доспехов Б.А. Методика полевого опыта. М.: Колос, 2014. 336 с.</mixed-citation><mixed-citation xml:lang="en">Dospekhov B.A. Metodika polevogo opyta [Methodology of a field trial]. M.: Kolos, 2014. 336 s.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Унифицированный метод селекции кукурузы. М; 1978. 60 с.</mixed-citation><mixed-citation xml:lang="en">Unificirovannyj metod selekcii kukuruzy [Unified maize breeding method ]. M; 1978. 60 s.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Fadhli N, Farid M, Rafiuddin, Efendi R, Azrai M, Anshori. Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress // Biodiversitas Journal of Biological Diversity. 2020. Vol. 21. № 8. doi.org/10.13057/biodiv/d210826.</mixed-citation><mixed-citation xml:lang="en">Fadhli N, Farid M, Rafiuddin, Efendi R, Azrai M, Anshori. Multivariate analysis to determine secondary characters in selecting adaptive hybrid corn lines under drought stress // Biodiversitas Journal of Biological Diversity. 2020. Vol. 21. № 8. doi.org/10.13057/biodiv/d210826.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Mukhlif F.H., Hammadi H.J., Hassan I.I. Genetic analysis for single crosses in Maize by using Line × Tester hybridization//Indian Journal of Ecology. 2020.Vol. 47. P. 175-180.</mixed-citation><mixed-citation xml:lang="en">Mukhlif F.H., Hammadi H.J., Hassan I.I. Genetic analysis for single crosses in Maize by using Line × Tester hybridization // Indian Journal of Ecology. 2020.Vol. 47. P. 175-180.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Sandhu R, Suat I. Performance assessment of Hybrid-Maize model for rainfed, limited and full irrigation conditions // Agricultural Water Management. 2020. Vol. 242. https://doi.org/10.1016/j.agwat.2020.106402.</mixed-citation><mixed-citation xml:lang="en">Sandhu R, Suat I. Performance assessment of Hybrid-Maize model for rainfed, limited and full irrigation conditions // Agricultural Water Management. 2020. Vol. 242. https://doi.org/10.1016/j.agwat.2020.106402.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Tolley S.A., Singh A., Tuinstra M.R. Heterotic Patterns of Temperate and Tropical Maize by Ear Photometry // Frontiers in Plant Science. 2021. Vol. 1214. DOI 10.3389/fpls.2021.616975.</mixed-citation><mixed-citation xml:lang="en">Tolley S.A., Singh A., Tuinstra M.R. Heterotic Patterns of Temperate and Tropical Maize by Ear Photometry // Frontiers in Plant Science. 2021. Vol. 1214. DOI 10.3389/fpls.2021.616975.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
