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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">kaz65</journal-id><journal-title-group><journal-title xml:lang="ru">Почвоведение и агрохимия</journal-title><trans-title-group xml:lang="en"><trans-title>Soil Science and Agrichemistry</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1999-740X</issn><issn pub-type="epub">2959-3433</issn><publisher><publisher-name>Казахский научно-исследовательский институт почвоведения и агрохимии имени У.У. Успанова</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.51886/1999-74X_2025_3_30</article-id><article-id custom-type="elpub" pub-id-type="custom">kaz65-1030</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>ЗАСОЛЕНИЕ И МЕЛИОРАЦИЯ ПОЧВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SALINIZATION AND SOIL RECLAMATION</subject></subj-group></article-categories><title-group><article-title>Моделирование засоленности почв с использованием кондуктометрии</article-title><trans-title-group xml:lang="en"><trans-title>Modeling soil salinity using conductometry</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4712-9018</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Амиров</surname><given-names>Б. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Amirov</surname><given-names>B. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Амиров Бахытбек Мустафаулы – заведующий отделом агрохимии, кандидат сельскохозяйственных наук, доцент.</p><p>050060, Алматы, пр. аль-Фараби, 75В</p></bio><bio xml:lang="en"><p>050060, Almaty, al-Farabi ave., 75B</p></bio><email xlink:type="simple">bak.amirov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-8786-3738</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Базарбаев</surname><given-names>С. О.</given-names></name><name name-style="western" xml:lang="en"><surname>Bazarbayev</surname><given-names>S. O.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Базарбаев Султан Оразбаевич – младший научный сотрудник отдела агрохимии, PhD.</p><p>050060, Алматы, пр. аль-Фараби, 75В</p></bio><bio xml:lang="en"><p>050060, Almaty, al-Farabi ave., 75B</p></bio><email xlink:type="simple">sultan-13_01@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/0000-0002-8544-8992</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Жандыбаев</surname><given-names>О. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhandybayev</surname><given-names>O. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Жандыбаев Оркен Серпинулы – младший научный сотрудник отдела агрохимии, магистр сельскохозяйственных наук.</p><p>050060, Алматы, пр. аль-Фараби, 75В</p></bio><bio xml:lang="en"><p>050060, Almaty, al-Farabi ave., 75B</p></bio><email xlink:type="simple">mr.orken@yandex.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0180-5359</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пошанов</surname><given-names>М. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Poshanov</surname><given-names>M. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Пошанов Максат Нурбаевич - заведующий отделом мелиорации засоленных почв, РһD.</p><p>050060, Алматы, пр. аль-Фараби, 75В</p></bio><bio xml:lang="en"><p>050060, Almaty, al-Farabi ave., 75B</p></bio><email xlink:type="simple">maksat_90.okkz@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/0009-0002-2810-2124</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Курманакын</surname><given-names>О. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Kurmanakyn</surname><given-names>O. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Құрманақын Олжас Серікұлы – инженер-аналитик отдела агрохимии.</p><p>050060, Алматы, пр. аль-Фараби, 75В</p></bio><bio xml:lang="en"><p>050060, Almaty, al-Farabi ave., 75B</p></bio><email xlink:type="simple">k.oljas.s@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Казахский научно-исследовательский институт почвоведения и агрохимии имени У.У. Успанова<country>Россия</country></aff><aff xml:lang="en">Kazakh Research Institute of Soil Science and Agrochemistry named after U.U. Uspanov<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>02</day><month>10</month><year>2025</year></pub-date><volume>0</volume><issue>3</issue><fpage>30</fpage><lpage>44</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Амиров Б.М., Базарбаев С.О., Жандыбаев О.С., Пошанов М.Н., Курманакын О.С., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Амиров Б.М., Базарбаев С.О., Жандыбаев О.С., Пошанов М.Н., Курманакын О.С.</copyright-holder><copyright-holder xml:lang="en">Amirov B.M., Bazarbayev S.O., Zhandybayev O.S., Poshanov M.N., Kurmanakyn 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://journal.soil.kz/jour/article/view/1030">https://journal.soil.kz/jour/article/view/1030</self-uri><abstract><p>Засоленность почв остается одной из приоритетных проблем деградации земельных ресурсов, особенно в засушливых и орошаемых регионах Центральной Азии и юга Казахстана. В статье рассматривается возможность применения метода кондуктометрии как экспресс-способа оценки степени засоленности почв с использованием измерений электропроводности (EC) водной вытяжки. Работа выполнена на примере почв Шаульдерского массива Туркестанской области, характеризующихся различными уровнями солевой нагрузки. Полевые исследования включали отбор 76 почвенных образцов с разной глубины (до 1 м), подготовку вытяжек в соотношении почва:вода — 1:5 и измерение EC с использованием кондуктометра FieldScout Direct Soil EC Meter (CTS 50C). На основании полученных значений EC и содержания суммы солей была проведена классификация почв по степени засоленности в соответствии с международной классификацией Richards (1954) и FAO. Диапазон значений электропроводности составлял от 0,254 до 15,420 мСм/см, что охватывает спектр от незасоленных до сильно засоленных почв. Для количественного описания взаимосвязи между EC и содержанием растворимых солей построены и сравнены пять типов регрессионных моделей: линейная, логарифмическая, степенная, а также полиномиальные модели второй и третьей степени. Оценка точности проводилась с использованием коэффициента детерминации (R²), среднеквадратической ошибки (MSE) и дисперсионного анализа (ANOVA). Наилучшие результаты показала полиномиальная модель третьей степени (R²=0,947; MSE=0,034), обеспечивая наиболее точную аппроксимацию эмпирических данных. Линейная модель также продемонстрировала высокую точность (R²=0,904; MSE=0,062), что позволяет оперативно использовать модель в прикладных задачах. Логарифмическая модель оказалась наименее информативной (R²=0,668; MSE =0,215). Проведенный дисперсионный анализ подтвердил статистическую значимость влияния электропроводности на содержание солей (p &lt;0,001). Полученные результаты могут быть использованы для экспресс-диагностики засоленности, зонирования земель по степени пригодности для сельскохозяйственного использования, а также для планирования мелиоративных мероприятий. Метод кондуктометрии рекомендован к применению как в исследовательской, так и в производственной практике, включая дистанционный мониторинг с использованием EC-датчиков и ГИС-технологий.</p></abstract><trans-abstract xml:lang="en"><p>Soil salinity is one of the key issues contributing to land degradation, particularly in arid and irrigated regions of Central Asia and southern Kazakhstan. This study explores the applicability of the conductometric method as a rapid tool for assessing soil salinity levels based on electrical conductivity (EC) measurements of a water extract. The research focused on sierozem soils from the Shaulder massif in the Turkistan region, which are characterized by varying degrees of salt accumulation. A total of 76 soil samples were collected from depths up to 1 meter, and water extracts were prepared in a 1:5 soil-to-water ratio. Measurements were carried out using a calibrated FieldScout Direct Soil EC Meter (CTS 50C). Based on the obtained data, soil salinity classification was performed according to the international standards by Richards (1954) and FAO. EC values ranged from 0.254 to 15.420 mS/cm, covering the spectrum from non-saline to highly saline soils. Five types of regression models were developed and compared: linear, logarithmic, power, second-degree polynomial, and third-degree polynomial. The third-degree polynomial model demonstrated the highest accuracy (R² = 0.947; MSE = 0.034). ANOVA confirmed the statistical significance of the influence of EC on salt content (p &lt; 0.001). The resulting models can be applied for rapid salinity diagnostics, soil zoning, and reclamation planning.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>засоленность почв</kwd><kwd>электропроводность</kwd><kwd>кондуктометрия</kwd><kwd>регрессионный анализ</kwd><kwd>математическое моделирование</kwd><kwd>экспресс-метод</kwd></kwd-group><kwd-group xml:lang="en"><kwd>soil salinity</kwd><kwd>electrical conductivity</kwd><kwd>conductometry</kwd><kwd>regression analysis</kwd><kwd>mathematical modeling</kwd><kwd>rapid assessment method</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">Global map of salt-affected soils [Электронный ресурс]: FAO Soils Portal. – Режим доступа: https://www.fao.org/soils-portal/data-hub/soil-maps-and-databa-ses/global-map-of-salt-affected-soils/ar/, свободный.</mixed-citation><mixed-citation xml:lang="en">Global map of salt-affected soils [Elektronny resurs]: FAO Soils Portal. – Rezhim dostupa: https://www.fao.org/soils-portal/data-hub/soil-maps-and-databa-ses/global-map-of-salt-affected-soils/ar/, svobodny.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">FAO. Global status of salt-affected soils – Main report. – Rome, 2024. – 148 с.</mixed-citation><mixed-citation xml:lang="en">FAO. Global status of salt-affected soils – Main report. – Rome, 2024. – 148 с.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Rhoades J.D., Kandiah A., Mashali A.M. The use of saline waters for crop production. – Rome: FAO, 1992. – 133 p.</mixed-citation><mixed-citation xml:lang="en">Rhoades J.D., Kandiah A., Mashali A.M. The use of saline waters for crop production. – Rome: FAO, 1992. – 133 p.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Corwin D.L., Lesch S.M. Apparent soil electrical conductivity measurements in agriculture// Computers and Electronics in Agriculture. – 2005. – Vol. 46, Issue 1–3. – P. 11–43.</mixed-citation><mixed-citation xml:lang="en">Corwin D.L., Lesch S.M. Apparent soil electrical conductivity measurements in agriculture// Computers and Electronics in Agriculture. – 2005. – Vol. 46, Issue 1–3. – P. 11–43.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Hillel, D. Introduction to Environmental Soil Physics. – Amsterdam: Elsevier Academic Press, 2004. – 494 p.</mixed-citation><mixed-citation xml:lang="en">Hillel, D. Introduction to Environmental Soil Physics. – Amsterdam: Elsevier Academic Press, 2004. – 494 p.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Richards, L.A. Diagnosis and Improvement of Saline and Alkali Soils// USDA Agriculture Handbook. – Washington, DC: U.S. Government Printing Office, 1954. - № 60. – 160 p.</mixed-citation><mixed-citation xml:lang="en">Richards, L.A. Diagnosis and Improvement of Saline and Alkali Soils// USDA Agriculture Handbook. – Washington, DC: U.S. Government Printing Office, 1954. - № 60. – 160 p.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Slavich P.G., Petterson G.H. Estimating the electrical conductivity of saturated paste extracts from 1:5 soil: water suspensions and texture// Australian Journal of Soil Research. – 1990. – Vol. 28. – P. 453–463.</mixed-citation><mixed-citation xml:lang="en">Slavich P.G., Petterson G.H. Estimating the electrical conductivity of saturated paste extracts from 1:5 soil:water suspensions and texture// Australian Journal of Soil Research. – 1990. – Vol. 28. – P. 453–463.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Ayers, R.S., Westcot, D.W. Water Quality for Agriculture// FAO Irrigation and Drainage Paper. – Rome: FAO, 1985. – № 29. – 174 p.</mixed-citation><mixed-citation xml:lang="en">Ayers, R.S., Westcot, D.W. Water Quality for Agriculture// FAO Irrigation and Drainage Paper. – Rome: FAO, 1985. – № 29. – 174 p.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Kargas G., Kerkides P. Electrical conductivity and total dissolved solids in irrigation water in relation to soil properties// Agricultural Water Management. - 2008. - Vol. 95, № 5. - P. 603–612.</mixed-citation><mixed-citation xml:lang="en">Kargas G., Kerkides P. Electrical conductivity and total dissolved solids in irrigation water in relation to soil properties// Agricultural Water Management. - 2008. - Vol. 95, № 5. - P. 603–612.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Shirokova, Y.I., Forkutsa, I., Sharipova, S.S. et al. Soil salinization in Central Asia: Monitoring approaches and problems// Sustainability. – 2021. – Vol. 13, Issue 11. – P. 6146.</mixed-citation><mixed-citation xml:lang="en">Shirokova, Y.I., Forkutsa, I., Sharipova, S.S. et al. Soil salinization in Central Asia: Monitoring approaches and problems// Sustainability. – 2021. – Vol. 13, Issue 11. – P. 6146.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang M., Liu Z., Zhang Z. et al. Mapping soil salinity using remote sensing and soil characteristics: A case study in the Bosten Lake watershed, China// Geoderma. – 2018. – Vol. 311. – P. 1–12.</mixed-citation><mixed-citation xml:lang="en">Zhang M., Liu Z., Zhang Z. et al. Mapping soil salinity using remote sensing and soil characteristics: A case study in the Bosten Lake watershed, China// Geoderma. – 2018. – Vol. 311. – P. 1–12.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Алиев И. А. Засоление почв юга Казахстана и пути их мелиорации. Вестник КазНАУ. - 2016. - № 2. - C. 25–32.</mixed-citation><mixed-citation xml:lang="en">Aliyev I. A. Zasoleniye pochv yuga Kazakhstana i puti ikh melioratsii. Vestnik KazNAU. - 2016. - № 2. - C. 25–32.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Алиев, И.А. Состояние и использование орошаемых земель Южного Казахстана// Агроөнеркәсіп кешені Қазақстанда. – 2016. – № 3 (55). – С. 22–26.</mixed-citation><mixed-citation xml:lang="en">Aliyev, I.A. Sostoyaniye i ispolzovaniye oroshayemykh zemel Yuzhnogo Kazakhstana// Agroөnerkәsіp keshenі Қazaқstanda. – 2016. – № 3 (55). – S. 22–26.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Сейдахметов М.С. Анализ состояния засоленных почв Туркестанской области// Почвоведение и агрохимия. - 2019. - № 4. - C. 14–19.</mixed-citation><mixed-citation xml:lang="en">Seydakhmetov M.S. Analiz sostoyaniya zasolennykh pochv Turkestanskoy oblasti// Pochvovedeniye i agrokhimiya. - 2019. - № 4. - C. 14–19.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Gharib S., Naseri A., Ashraf S. Evaluation of Soil Salinity Mapping Based on Electrical Conductivity// Soil &amp; Tillage Researchю - 2019. - V. 189. - P. 129–136.</mixed-citation><mixed-citation xml:lang="en">Gharib S., Naseri A., Ashraf S. Evaluation of Soil Salinity Mapping Based on Electrical Conductivity// Soil &amp; Tillage Researchyu - 2019. - V. 189. - P. 129–136.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Жумабеков, Ж.К., Абдраманова, А.А. Использование электропроводности при оценке засоленности почв// Аграрная наука Евразии. – 2021. – Т. 11, № 3 (39). – С. 49–53.</mixed-citation><mixed-citation xml:lang="en">Zhumabekov, Zh.K., Abdramanova, A.A. Ispolzovaniye elektroprovodnosti pri otsenke zasolennosti pochv// Agrarnaya nauka Yevrazii. – 2021. – T. 11, № 3 (39). – S. 49–53.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Xu, X., Wang, J., &amp; Deng, L. (2014). Relationships between soil salinity and electrical conductivity under different moisture conditions// Environmental Monitoring and Assessment. – 2014. – Vol. 186, № 6. – P. 3451–3460.</mixed-citation><mixed-citation xml:lang="en">Xu, X., Wang, J., &amp; Deng, L. (2014). Relationships between soil salinity and electrical conductivity under different moisture conditions// Environmental Monitoring and Assessment. – 2014. – Vol. 186, № 6. – P. 3451–3460.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Власова, Н.А., Иванова, Л.А., Широкова, Л.В. Электропроводность почвенного раствора как показатель засоленности// Почвоведение. – 2007. – №3. – С. 84–89.</mixed-citation><mixed-citation xml:lang="en">Vlasova, N.A., Ivanova, L.A., Shirokova, L.V. Elektroprovodnost pochvennogo rastvora kak pokazatel zasolennosti// Pochvovedeniye. – 2007. – №3. – S. 84–89.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Исмаилов, Р.Р., Абдрахманов, К.Ш. Применение экспресс-методов для определения засоленности почв// Почвоведение и агрохимия. – 2020. – № 2(74). – С. 55–61.</mixed-citation><mixed-citation xml:lang="en">Ismailov, R.R., Abdrakhmanov, K.Sh. Primeneniye ekspress-metodov dlya opredeleniya zasolennosti pochv// Pochvovedeniye i agrokhimiya. – 2020. – № 2(74). – S. 55–61.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Mukhamedjanov, H.K., Toderich, K.N. Monitoring of soil salinization using GIS and remote sensing in Central Asia// Environmental Earth Sciences. – 2015. – Vol. 74. – P. 4539–4547.</mixed-citation><mixed-citation xml:lang="en">Mukhamedjanov, H.K., Toderich, K.N. Monitoring of soil salinization using GIS and remote sensing in Central Asia// Environmental Earth Sciences. – 2015. – Vol. 74. – P. 4539–4547.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Gupta R.K., Abrol I.P. Salt-affected soils: Their reclamation and management for crop production// Journal of Advances in Soil Science. – 1990. – Vol. 11. – P. 223–288.</mixed-citation><mixed-citation xml:lang="en">Gupta R.K., Abrol I.P. Salt-affected soils: Their reclamation and management for crop production// Journal of Advances in Soil Science. – 1990. – Vol. 11. – P. 223–288.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Keren R., Miyamoto S. Reclamation of saline and sodic soils // Advances in Agronomy. – 2012. – Vol. 115. – P. 325–380.</mixed-citation><mixed-citation xml:lang="en">Keren R., Miyamoto S. Reclamation of saline and sodic soils // Advances in Agronomy. – 2012. – Vol. 115. – P. 325–380.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Мельников П.В., Сатпаев А.Н. Оценка засоления почв по электропроводности водных вытяжек// Вестник аграрной науки. – 2020. – № 6. – С. 64–69.</mixed-citation><mixed-citation xml:lang="en">Melnikov P.V., Satpayev A.N. Otsenka zasoleniya pochv po elektroprovodnosti vodnykh vytyazhek// Vestnik agrarnoy nauki. – 2020. – №6. – S. 64–69.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Zaman M. et al. Soil salinity monitoring approaches using EC measurements// Journal of Environmental Management. – 2019. – Vol. 236. – P. 90–99.</mixed-citation><mixed-citation xml:lang="en">Zaman M. et al. Soil salinity monitoring approaches using EC measurements// Journal of Environmental Management. – 2019. – Vol. 236. – P. 90–99.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Панова С.В. Оценка экспресс-методов для диагностики солевого загрязнения почв// Агрохимия. – 2017. – № 11. – С. 48–55.</mixed-citation><mixed-citation xml:lang="en">Panova S.V. Otsenka ekspress-metodov dlya diagnostiki solevogo zagryazneniya pochv// Agrokhimiya. – 2017. – № 11. – S. 48–55.</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>
