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<!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">scbook</journal-id><journal-title-group><journal-title xml:lang="ru">Биология растений и садоводство: теория, инновации</journal-title><trans-title-group xml:lang="en"><trans-title>Plant Biology and Horticulture: theory, innovation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2712-7788</issn><publisher><publisher-name>Federal State Funded Institution of Science “The Labour Red Banner Order Nikitsky Botanical Gardens – National scientific Center of the RAS”</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.36305/2019-1-150-67-77</article-id><article-id custom-type="elpub" pub-id-type="custom">scbook-454</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>ПЛОДОВОДСТВО</subject></subj-group></article-categories><title-group><article-title>ЗАВИСИМОСТЬ ПРОДУКТИВНОСТИ ПЕРСИКА ОТ БИОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ СОРТОВ И ПОГОДНО-КЛИМАТИЧЕСКИХ УСЛОВИЙ НА ЮЖНОМ БЕРЕГУ КРЫМА</article-title><trans-title-group xml:lang="en"><trans-title>The Dependence of the Peach Productivity on the Biological Cultivar-Related Specifics and on the Natural and Climatic Conditions on the Crimean Southern Coast</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>Смыков</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Smykov</surname><given-names>A. V.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.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>Федорова</surname><given-names>О. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Fedorova</surname><given-names>O. S.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Никитский ботанический сад - Национальный научный центр РАН</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>30</day><month>09</month><year>2019</year></pub-date><volume>0</volume><issue>150</issue><fpage>67</fpage><lpage>77</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Смыков А.В., Федорова О.С., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Смыков А.В., Федорова О.С.</copyright-holder><copyright-holder xml:lang="en">Smykov A.V., Fedorova O.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://scbook.elpub.ru/jour/article/view/454">https://scbook.elpub.ru/jour/article/view/454</self-uri><abstract><p>0,83 были недостоверны. Наиболее высокие коэффициенты регрессии (b) признаков ( от 28,7 до -52,6) отмечали у сорта Юннат.</p></abstract><trans-abstract xml:lang="en"><p>Aim. The aim of the research was to construct the regressive model of productivity of peach cultivars. The model should allow an objective evaluation of interrelation between yield and biotic / abiotic limiting factors under conditions of the Crimean Southern Coast. Methods. The research has been conducted in 1990 - 2018 under conditions of the Crimean Southern Coast by using collection plantings of Nikita Botanical Gardens. The research on cultivars have been conducted in line with conventional techniques. The data preparation, the correlation and the regression analysis have been based on the works of N. Bublik, and V. Gorina, as well as the package "Statistika 6". Results. The multiple regression equations of relationship between yield and researched factors were constructed, the multiple regression (R) as well as the multiple determination (R2) coefficients, determining the fraction of the yield variability under influence of relevant factors, have The most significant correlations between yield and external factors were identified for each cultivar. been determined. Main Conclusions. The peach yielding capacity was, according to the cultivar, essentially influenced by the air temperatures during the blossom (r = 0.54) and by degree of the setting of reproductive buds (r = 0.31). The infestation of plants with powdery mildew, leaf curl and shothole disease led to reduction of yields (r = -0.52, -0.46, -0.42, respectively). A negative correlation between the yield capacity and the relative humidity (r = -0.38), as well as the precipitation value during the blossom (r = -0.38) was identified. The maximal trait regression coefficients (from 28.7 to -52.6) were shown by the cutivar Yunnat and the minimal ones (from 2.28 to 3.22) - by the cultivar Golden.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сорта персика</kwd><kwd>биотические и абиотические лимитирующие факторы</kwd><kwd>корреляционный и регрессионный анализ</kwd><kwd>модель продуктивности</kwd></kwd-group><kwd-group xml:lang="en"><kwd>peach cultivars</kwd><kwd>biotic and abiotic limiting factors</kwd><kwd>correlation and the regression analysis</kwd><kwd>model of productivity</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title></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>
