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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">vavilov</journal-id><journal-title-group><journal-title xml:lang="ru">Вавиловский журнал генетики и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Vavilov Journal of Genetics and Breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-3259</issn><publisher><publisher-name>Institute of Cytology and Genetics of Siberian Branch of the RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18699/VJ20.619</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-2594</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 РАСТЕНИЙ НА ИММУНИТЕТ И ПРОДУКТИВНОСТЬ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PLANT BREEDING FOR IMMUNITY AND PERFORMANCE</subject></subj-group></article-categories><title-group><article-title>Сравнение статистических методов оценки стабильности урожайности озимой пшеницы</article-title><trans-title-group xml:lang="en"><trans-title>A comparison of statistical methods for assessing winter wheat grain yield stability</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2265-7129</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чешкова</surname><given-names>А. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Cheshkova</surname><given-names>A. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Р. п. Краснообск, Новосибирская область</p></bio><bio xml:lang="en"><p>Krasnoobsk, Novosibirsk region</p></bio><email xlink:type="simple">cheshanna@yandex.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>Стёпочкин</surname><given-names>П. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Stepochkin</surname><given-names>P. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Р. п. Краснообск, Новосибирская область</p></bio><bio xml:lang="en"><p>Krasnoobsk, Novosibirsk region</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алейников</surname><given-names>А. Ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Aleynikov</surname><given-names>A. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Р. п. Краснообск, Новосибирская область</p></bio><bio xml:lang="en"><p>Krasnoobsk, Novosibirsk region</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гребенникова</surname><given-names>И. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Grebennikova</surname><given-names>I. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Р. п. Краснообск, Новосибирская область</p></bio><bio xml:lang="en"><p>Krasnoobsk, Novosibirsk region</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пономаренко</surname><given-names>В. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Ponomarenko</surname><given-names>V. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Р. п. Краснообск, Новосибирская область</p></bio><bio xml:lang="en"><p>Krasnoobsk, Novosibirsk region</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Сибирский федеральный научный центр агробиотехнологий, Российская академия наук<country>Россия</country></aff><aff xml:lang="en">Siberian Federal Scientific Center of Agro-BioTechnologies, Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Сибирский научно-исследовательский институт растениеводства и селекции - филиал Федерального исследовательского центра Институт цитологии и генетики, Сибирское отделение Российской академии наук<country>Россия</country></aff><aff xml:lang="en">Siberian Research Institute of Plant Production and Breeding - Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>29</day><month>05</month><year>2020</year></pub-date><volume>24</volume><issue>3</issue><fpage>267</fpage><lpage>275</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Чешкова А.Ф., Стёпочкин П.И., Алейников А.Ф., Гребенникова И.Г., Пономаренко В.И., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Чешкова А.Ф., Стёпочкин П.И., Алейников А.Ф., Гребенникова И.Г., Пономаренко В.И.</copyright-holder><copyright-holder xml:lang="en">Cheshkova A.F., Stepochkin P.I., Aleynikov A.F., Grebennikova I.G., Ponomarenko V.I.</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://vavilov.elpub.ru/jour/article/view/2594">https://vavilov.elpub.ru/jour/article/view/2594</self-uri><abstract><p>Многообразие существующих методов оценки фенотипической стабильности растений ставит перед селекционерами проблему выбора подходящего варианта. Целью настоящего исследования было сравнение различных методов анализа взаимодействия генотип x среда и оценка на их основе стабильности урожайности семи сортов озимой пшеницы. Проанализированы 17 статистических показателей стабильности на примере данных полевого опыта 2009-2011 гг. по оценке урожайности зерна семи сортов озимой мягкой пшеницы сибирской селекции (Новосибирская 32, Новосибирская 40, Новосибирская 51, Новосибирская 3, Новосибирская 2, Обская озимая, Омская 6) в шести вариантах сред. Дисперсионный анализ выявил значимое (р &lt; 0.001) взаимодействие генотип x среда в опыте, что говорит о различной реакции генотипов на изменение условий среды. Выполнено ранжирование сортов по уровню стабильности и рассчитаны корреляционные связи между параметрами стабильности. На основе анализа корреляционной матрицы рангов проведена классификация методов, разделяющая их на пять групп. Предложены рекомендации по выбору способа определения стабильности генотипов в зависимости от целей исследования. В случае, когда целью селекционных исследований является выбор наиболее стабильных в биологическом смысле сортов, обладающих наименьшей вариацией признака, независимо от меняющихся условий среды, следует использовать методы статической концепции. Если среди набора сортов необходимо выбрать генотип с предсказуемой реакцией на изменения условий среды, соответствующей расчетному уровню или прогнозу, наиболее оптимален регрессионный подход. В результате оценки методами статической концепции сорт Новосибирская 32 был определен как наиболее стабильный с биологической точки зрения. Сорт Новосибирская 3, имевший наименьшее отклонение от средней урожайности для всех сред, оказался наиболее стабильным при оценке регрессионными методами. Методы, оценивающие вклад генотипа во взаимодействие генотип х среда, определили сорт Новосибирская 51 как самый стабильный.</p></abstract><trans-abstract xml:lang="en"><p>The multitude of existing methods for assessing the phenotypic stability of plants makes breeders be faced with the problem of choosing an appropriate variant. The purpose of this study was to compare different methods of analyzing the genotype x environment interaction and, on their basis, assess the stability of the yield of 7 varieties of winter wheat. The article compares 17 stability statistics by applying them to data obtained from agrotechnical experiments carried in 2009-2011 for evaluating the grain yield of 7 varieties of winter common wheat of Siberian selection (Novosibirskaya 32, Novosibirskaya 40, Novosibirskaya 51, Novosibirskaya 3, Novosibirskaya 2, Obskaya winter, Omskaya 6). Analysis of variance revealed a significant (p &lt; 0.001) genotype x environment interaction in the experiments, which indicates a different reaction of genotypes to changes in environmental conditions. Genotypes were ranked according to the level of stability. Based on the analysis of the rank correlation matrix, the stability statistics were categorized in five groups. Recommendations were made on which group of methods to use depending on the objectives of the study. In the case when the goal of breeding research is the selection of the most biologically stable varieties with the minimum variance across a range of environments, one should use the methods of the static concept. If it is necessary to choose a genotype with a predictable reaction to changes of environmental conditions, corresponding to the calculated level or forecast, the regression approach is the most appropriate. The stability statistics generally identified Novosibirskaya 32 as the most stable variety from a biological point of view. The regression approach showed that Novosibirskaya 3 was the genotype with the smallest deviation from mean yield in all environments, while methods accessing the contribution of each genotype to the genotype x environment interaction defined Novosibirskaya 51 as the most stable variety.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>фенотипическая стабильность</kwd><kwd>взаимодействие генотип х среда</kwd><kwd>селекция растений</kwd><kwd>статистические методы</kwd><kwd>озимая пшеница</kwd></kwd-group><kwd-group xml:lang="en"><kwd>phenotypic stability</kwd><kwd>genotype x environment interaction</kwd><kwd>plant breeding</kwd><kwd>statistical methods</kwd><kwd>winter wheat</kwd></kwd-group><funding-group xml:lang="en"><funding-statement>This work was supported by IC&amp;G budget project No. 0324-2019-0039 in part of field trial and experimental measurements and by SFSCAT budget project No. 0778-2019-0001 in part of statistical analysis</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">Adugna W., Labuschagne M.T. Parametric and nonparametric measures of phenotypic stability in linseed (Linum usitatissimum L.). Euphytica. 2003;129:211-218. DOI 10.1023/A:1021979303319.</mixed-citation><mixed-citation xml:lang="en">Adugna W., Labuschagne M.T. Parametric and nonparametric measures of phenotypic stability in linseed (Linum usitatissimum L.). Euphytica. 2003;129:211-218. DOI 10.1023/A:1021979303319.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Becker H.C., Leon J. Stability analysis in plant breeding. Plant Breed.</mixed-citation><mixed-citation xml:lang="en">Becker H.C., Leon J. Stability analysis in plant breeding. Plant Breed.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">;101:1-23. DOI 10.1111/j.1439-0523.1988.tb00261.x.</mixed-citation><mixed-citation xml:lang="en">;101:1-23. DOI 10.1111/j.1439-0523.1988.tb00261.x.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Dragavtsev V.A., Averyanova A.F. Redefinition of genetic formulas of quantitative traits in different environmental conditions. Genetika = Genetics. 1983;19(11):1806-1810. (in Russian)</mixed-citation><mixed-citation xml:lang="en">Dragavtsev V.A., Averyanova A.F. Redefinition of genetic formulas of quantitative traits in different environmental conditions. Genetika = Genetics. 1983;19(11):1806-1810. (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Eberhart S.A., Russell W.A. Stability parameters for comparing varieties. Crop Sci. 1966;6:36-40. DOI 10.2135/cropsci1966.0011183X000600010011x.</mixed-citation><mixed-citation xml:lang="en">Eberhart S.A., Russell W.A. Stability parameters for comparing varieties. Crop Sci. 1966;6:36-40. DOI 10.2135/cropsci1966.0011183X000600010011x.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Finlay K.W., Wilkinson G.N. The analysis of adaptation in a plant breeding programme. Aust. J. Agric. Res. 1963;14:742-754. DOI 10.1071/AR9630742.</mixed-citation><mixed-citation xml:lang="en">Finlay K.W., Wilkinson G.N. The analysis of adaptation in a plant breeding programme. Aust. J. Agric. Res. 1963;14:742-754. DOI 10.1071/AR9630742.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Flores F., Moreno M.T., Cubero J.I. A comparison of univariate and multivariate methods to analyze GxE interaction. Field Crops Res. 1998;56:271-286. DOI 10.1016/S0378-4290(97)00095-6.</mixed-citation><mixed-citation xml:lang="en">Flores F., Moreno M.T., Cubero J.I. A comparison of univariate and multivariate methods to analyze GxE interaction. Field Crops Res. 1998;56:271-286. DOI 10.1016/S0378-4290(97)00095-6.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Fox P.N., Rosielle A.A. Reducing the influence of environmental main-effects on pattern analysis of plant breeding environments. Euphytica. 1982;31:645-656. DOI 10.1007/BF00039203.</mixed-citation><mixed-citation xml:lang="en">Fox P.N., Rosielle A.A. Reducing the influence of environmental main-effects on pattern analysis of plant breeding environments. Euphytica. 1982;31:645-656. DOI 10.1007/BF00039203.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Fox P.N., Skovmand B., Thompson B.K., Braun H.J., Cormier R. Yield and adaptation of hexaploid spring triticale. Euphytica. 1990;47:57-64. DOI 10.1007/BF00040364.</mixed-citation><mixed-citation xml:lang="en">Fox P.N., Skovmand B., Thompson B.K., Braun H.J., Cormier R. Yield and adaptation of hexaploid spring triticale. Euphytica. 1990;47:57-64. DOI 10.1007/BF00040364.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Francis T.R., Kannenberg L.W. Yield stability studies in short-season maize. I. A descriptive method for grouping genotypes. Can. J. Plant Sci. 1978;58:1029-1034. DOI 10.4141/cjps78-157.</mixed-citation><mixed-citation xml:lang="en">Francis T.R., Kannenberg L.W. Yield stability studies in short-season maize. I. A descriptive method for grouping genotypes. Can. J. Plant Sci. 1978;58:1029-1034. DOI 10.4141/cjps78-157.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Gauch H.G. Statistical analysis of yield trials by AMMI and GGE. Crop Sci. 2006;46:1488-1500. DOI 10.2135/cropsci2005.07-0193.</mixed-citation><mixed-citation xml:lang="en">Gauch H.G. Statistical analysis of yield trials by AMMI and GGE. Crop Sci. 2006;46:1488-1500. DOI 10.2135/cropsci2005.07-0193.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Kang M.S. Using genotype-by-environment interaction for crop cul-tivar development. Adv. Agron. 1997;62:199-252. DOI 10.1016/S0065-2113(08)60569-6.</mixed-citation><mixed-citation xml:lang="en">Kang M.S. Using genotype-by-environment interaction for crop cul-tivar development. Adv. Agron. 1997;62:199-252. DOI 10.1016/S0065-2113(08)60569-6.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Kang M.S., Miller J.D., Darrah L.L. A note on relationship between stability variance and ecovalence. J. Hered. 1987;78:107. DOI 10.1093/oxfordjournals.jhered.a110322.</mixed-citation><mixed-citation xml:lang="en">Kang M.S., Miller J.D., Darrah L.L. A note on relationship between stability variance and ecovalence. J. Hered. 1987;78:107. DOI 10.1093/oxfordjournals.jhered.a110322.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Kang M.S., Pham H.N. Simultaneous selection for high yielding and stable crop genotypes. Agron. J. 1991;83:161-165. DOI 10.2134/agronj1991.00021962008300010037x.</mixed-citation><mixed-citation xml:lang="en">Kang M.S., Pham H.N. Simultaneous selection for high yielding and stable crop genotypes. Agron. J. 1991;83:161-165. DOI 10.2134/agronj1991.00021962008300010037x.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Khangildin V.V., Shayakhmetov I.F., Mardamshin A.G. Homeostasis of crop components and prerequisites for creating a model of a spring wheat variety. In: Genetic Analysis of Quantitative Traits of Plants. Ufa, 1979;5-39. (in Russian)</mixed-citation><mixed-citation xml:lang="en">Khangildin V.V., Shayakhmetov I.F., Mardamshin A.G. Homeostasis of crop components and prerequisites for creating a model of a spring wheat variety. In: Genetic Analysis of Quantitative Traits of Plants. Ufa, 1979;5-39. (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Kilchevsky A.V., Khotyleva L.V Genotype and Environment in Plant Breeding. Minsk: Nauka i Tekhnika Publ., 1989. (in Russian) Levene H. Robust tests for equality of variances. In: Olkin I., Ghu-rye S.G., Hoeffding W., Madow W.G., Mann H.B. (Eds.). Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford Univ. Press, 1960;278-292.</mixed-citation><mixed-citation xml:lang="en">Kilchevsky A.V., Khotyleva L.V Genotype and Environment in Plant Breeding. Minsk: Nauka i Tekhnika Publ., 1989. (in Russian) Levene H. Robust tests for equality of variances. In: Olkin I., Ghu-rye S.G., Hoeffding W., Madow W.G., Mann H.B. (Eds.). Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford Univ. Press, 1960;278-292.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Lin C.S., Binns M.R. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 1988;68:193-198. DOI 10.4141/cjps88-018.</mixed-citation><mixed-citation xml:lang="en">Lin C.S., Binns M.R. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 1988;68:193-198. DOI 10.4141/cjps88-018.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Lin C.S., Binns M.R. Assessment of a method for cultivar selection based on regional trial data. Theor. Appl. Genet. 1991;82:379-388. DOI 10.1007/BF02190626.</mixed-citation><mixed-citation xml:lang="en">Lin C.S., Binns M.R. Assessment of a method for cultivar selection based on regional trial data. Theor. Appl. Genet. 1991;82:379-388. DOI 10.1007/BF02190626.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Lin C.S., Binns M.R., Lefkovitch L.P. Stability analysis: where do we stand? Crop Sci. 1986;26:894-900. DOI 10.2135/cropsci1986.0011183X002600050012x.</mixed-citation><mixed-citation xml:lang="en">Lin C.S., Binns M.R., Lefkovitch L.P. Stability analysis: where do we stand? Crop Sci. 1986;26:894-900. DOI 10.2135/cropsci1986.0011183X002600050012x.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Martynov S.P. A method for the estimation of crop varieties stability. Biom. J. 1990;7:887-893.</mixed-citation><mixed-citation xml:lang="en">Martynov S.P. A method for the estimation of crop varieties stability. Biom. J. 1990;7:887-893.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Mohammadi R., Amri F. Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica. 2008;159:419-432. DOI 10.1007/s10681-007-9600-6.</mixed-citation><mixed-citation xml:lang="en">Mohammadi R., Amri F. Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica. 2008;159:419-432. DOI 10.1007/s10681-007-9600-6.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Mohammadi R., Farshadfar E., Amri A. Comparison of rank-based stability statistics for grain yield in rainfed durum wheat. N. Z. J. Crop Hortic. Sci. 2016;44:25-40. DOI 10.1080/01140671.2015.1100126.</mixed-citation><mixed-citation xml:lang="en">Mohammadi R., Farshadfar E., Amri A. Comparison of rank-based stability statistics for grain yield in rainfed durum wheat. N. Z. J. Crop Hortic. Sci. 2016;44:25-40. DOI 10.1080/01140671.2015.1100126.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Nassar R., Huehn M. Studies on estimation of phenotypic stability: tests of significance for nonparametric measures of phenotypic stability. Biometrics. 1987;43:45-53. DOI 10.2307/2531947.</mixed-citation><mixed-citation xml:lang="en">Nassar R., Huehn M. Studies on estimation of phenotypic stability: tests of significance for nonparametric measures of phenotypic stability. Biometrics. 1987;43:45-53. DOI 10.2307/2531947.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Purchase J.L., Hatting H., Van Deventer C.S. Genotype x environment interaction of winter wheat in South Africa: II. Stability analysis of yield performance. S. Afr. J. Plant Soil. 2000;17:101-107. DOI 10.1080/02571862.2000.10634878.</mixed-citation><mixed-citation xml:lang="en">Purchase J.L., Hatting H., Van Deventer C.S. Genotype x environment interaction of winter wheat in South Africa: II. Stability analysis of yield performance. S. Afr. J. Plant Soil. 2000;17:101-107. DOI 10.1080/02571862.2000.10634878.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria, 2014. Available at: http://www.R-project.org/</mixed-citation><mixed-citation xml:lang="en">R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria, 2014. Available at: http://www.R-project.org/</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Shapiro S.S., Wilk M.B. An analysis of variance test for normality (complete samples). Biometrika. 1965;52(3-4):591-611. DOI 10.1093/biomet/52.3-4.591.</mixed-citation><mixed-citation xml:lang="en">Shapiro S.S., Wilk M.B. An analysis of variance test for normality (complete samples). Biometrika. 1965;52(3-4):591-611. DOI 10.1093/biomet/52.3-4.591.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Shukla G.K. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity. 1972;29:237-245. DOI 10.1038/hdy.1972.87.</mixed-citation><mixed-citation xml:lang="en">Shukla G.K. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity. 1972;29:237-245. DOI 10.1038/hdy.1972.87.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Tai G.C.C. Genotypic stability analysis and application to potato regional trials. Crop Sci. 1971;11:184-190. DOI 10.2135/cropsci1971.0011183X001100020006x.</mixed-citation><mixed-citation xml:lang="en">Tai G.C.C. Genotypic stability analysis and application to potato regional trials. Crop Sci. 1971;11:184-190. DOI 10.2135/cropsci1971.0011183X001100020006x.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Tai G.C.C., Young D.A. Genotypic stability analysis of eight potato varieties tested in a series of ten trials. Am. Potato J. 1972;49:138-150. DOI 10.1007/BF02861594.</mixed-citation><mixed-citation xml:lang="en">Tai G.C.C., Young D.A. Genotypic stability analysis of eight potato varieties tested in a series of ten trials. Am. Potato J. 1972;49:138-150. DOI 10.1007/BF02861594.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Udachin R.A. Methods of assessing the ecological plasticity of wheat varieties. Selektsiya i Semenovodstvo = Selection and Seed Production. 1990;5:2-6. (in Russian)</mixed-citation><mixed-citation xml:lang="en">Udachin R.A. Methods of assessing the ecological plasticity of wheat varieties. Selektsiya i Semenovodstvo = Selection and Seed Production. 1990;5:2-6. (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Wricke G. Tjber eine Methode zur Erfassung der okologischen Streub-reite in Feldversuchen. Z. Pflanzenzuchtg. 1962;47:92-96.</mixed-citation><mixed-citation xml:lang="en">Wricke G. Tjber eine Methode zur Erfassung der okologischen Streub-reite in Feldversuchen. Z. Pflanzenzuchtg. 1962;47:92-96.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Zobel R.W., Wright M.J., Gauch H.G., Jr. Statistical analysis of a yield trial. Agron. J. 1988;80:388-393. DOI 10.2134/agronj1988.00021962008000030002x.</mixed-citation><mixed-citation xml:lang="en">Zobel R.W., Wright M.J., Gauch H.G., Jr. Statistical analysis of a yield trial. Agron. J. 1988;80:388-393. DOI 10.2134/agronj1988.00021962008000030002x.</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>
