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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Vestnik of the Far East Branch of the Russian Academy of Sciences</journal-id><journal-title-group><journal-title xml:lang="en">Vestnik of the Far East Branch of the Russian Academy of Sciences</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Дальневосточного отделения Российской академии наук</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0869-7698</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">687319</article-id><article-id pub-id-type="doi">10.31857/S0869769825020094</article-id><article-id pub-id-type="edn">GEIDEE</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Biological Sciences</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Биологические науки</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Non-invasive optical methods (spectrometry, thermal imaging) when determining nitrogen deficiency and the physiological state of wheat in the field conditions</article-title><trans-title-group xml:lang="ru"><trans-title>Неинвазивные оптические методы (спектрометрия, тепловидение) при определении дефицита азота и физиологического состояния пшеницы в полевых условиях</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8753-4440</contrib-id><name-alternatives><name xml:lang="en"><surname>Rusakov</surname><given-names>Dmitryi V.</given-names></name><name xml:lang="ru"><surname>Русаков</surname><given-names>Дмитрий Валерьевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Candidate of Sciences in Agriculture, Senior Researcher</p></bio><bio xml:lang="ru"><p>Кандидат сельскохозяйственных наук, старший научный сотрудник</p></bio><email>rdv_vgsha@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8214-8193</contrib-id><name-alternatives><name xml:lang="en"><surname>Kanash</surname><given-names>Elena V.</given-names></name><name xml:lang="ru"><surname>Канаш</surname><given-names>Елена Всеволодовна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Doctor of Sciences in Biology, Chief Researcher</p></bio><bio xml:lang="ru"><p>Доктор биологических наук, главный научный сотрудник</p></bio><email>ykanash@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1134-0292</contrib-id><name-alternatives><name xml:lang="en"><surname>Chesnokov</surname><given-names>Yuriy V.</given-names></name><name xml:lang="ru"><surname>Чесноков</surname><given-names>Юрий Валентинович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Corresponding Member of RAS, Doctor of Sciences in Biology, Director</p></bio><bio xml:lang="ru"><p>Член-корреспондент РАН, доктор биологических наук, директор</p></bio><email>yuv_chesnokov@agrophys.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Agrophysical Research Institute</institution></aff><aff><institution xml:lang="ru">Агрофизический научно-исследовательский институт</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-08-04" publication-format="electronic"><day>04</day><month>08</month><year>2025</year></pub-date><issue>2</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>124</fpage><lpage>137</lpage><history><date date-type="received" iso-8601-date="2025-07-11"><day>11</day><month>07</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-07-11"><day>11</day><month>07</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Российская академия наук</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0869-7698/article/view/687319">https://journals.eco-vector.com/0869-7698/article/view/687319</self-uri><abstract xml:lang="en"><p>The reflection spectra and leaf surface temperature were measured in a field experiment when growing wheat of the Daria variety in the field conditions of the Menkovo experimental station of the Agrophysical Research Institute. The plants were vegetated at different levels of nitrogen nutrition (0–200 kg/ha in increments of 40 kg/ha). Fertilizers were applied in 2 stages: 2/3 of the dose of nitrogen (nitrogen strip) before sowing and 1/3 (ammonium nitrate) at the stage of completion of tillering. The analysis of the diffuse reflection indices of the leaf surface revealed a close positive relationship between the chlorophyll index (ChlRI) and a close negative relationship between the photochemical reflection index (PRI) and the dose of nitrogen fertilizers applied at the early stages of nitrogen deficiency, when there are no visible symptoms of plant oppression. The reflection indices SIPI, R<sub>800</sub>, ARI and FRI, in addition to assessing the nitrogen supply of plants, can be useful in assessing the specific response of plants to the action of various stressors, for example, to a deficiency of soil moisture or a lack of soil nitrogen. The use of thermal imaging made it possible to assess the transpiration activity of wheat plants depending on the level of nitrogen nutrition and its change during the day.</p></abstract><trans-abstract xml:lang="ru"><p>Спектры отражения и температура поверхности листьев были измерены в полевом опыте при выращивании пшеницы сорта Дарья на Меньковской опытной станции Агрофизического НИИ. Растения вегетировали при различных уровнях азотного питания (0–200 кг/га с шагом 40 кг/га). Удобрения вносили в 2 этапа: 2/3 дозы азота (азофоска) перед посевом и 1/3 (аммиачная селитра) на стадии завершения кущения. Анализ индексов диффузного отражения поверхности листьев выявил тесную положительную взаимосвязь индекса хлорофилла (ChlRI) и тесную отрицательную взаимосвязь фотохимического индекса отражения (PRI) c дозой внесенных азотных удобрений на ранних этапах возникновения дефицита азота, когда видимые симптомы угнетения растений еще отсутствуют. Индексы отражения SIPI, R<sub>800</sub>, ARI и FRI помимо оценки обеспеченности растений азотом могут быть полезны при оценке специфический ответной реакции растений на действие различных стрессоров, например на дефицит почвенной влаги или недостаток почвенного азота. Использование тепловизионной съемки позволило оценить транспирационную активность растений пшеницы в зависимости от уровня азотного питания и ее изменение в течение дня.</p></trans-abstract><kwd-group xml:lang="en"><kwd>spectroscopy</kwd><kwd>diffuse reflection indices</kwd><kwd>thermal images</kwd><kwd>nitrogen deficiency</kwd><kwd>water deficiency</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>спектроскопия</kwd><kwd>индексы диффузного отражения</kwd><kwd>термальные изображения</kwd><kwd>дефицит азота</kwd><kwd>дефицит воды</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Dobrowski S.Z., Pushnik J.C., Zarco-Tejada P.J., Ustin S.L. Simple reflectance indices track heat and water-stress induced changes in steady-state chlorophyll fluorescence at the canopy level. Remote Sensing of Environment. 2005;97(3):403–414. DOI: 10.1016/j.rse.2005.05.006.</mixed-citation><mixed-citation xml:lang="ru">Dobrowski S.Z., Pushnik J.C., Zarco-Tejada P.J., Ustin S.L. Simple reflectance indices track heat and water-stress induced changes in steady-state chlorophyll fluorescence at the canopy level // Remote Sensing of Environment. 2005. Vol. 97 (3). P. 403–414. DOI: 10.1016/j.rse.2005.05.006.</mixed-citation></citation-alternatives></ref><ref id="B2"><label>2.</label><citation-alternatives><mixed-citation xml:lang="en">Rosso P.H., Pushnik J.C., Lay M., Ustin S.L. Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination. Environmental Pollution. 2005;137(2):241–252. DOI: 10.1016/j.envpol.2005.02.025.</mixed-citation><mixed-citation xml:lang="ru">Rosso P.H., Pushnik, J.C., Lay M., Ustin S.L. Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination // Environmental Pollution. 2005. Vol. 137 (2). P. 241–252. DOI: 10.1016/j.envpol.2005.02.025.</mixed-citation></citation-alternatives></ref><ref id="B3"><label>3.</label><citation-alternatives><mixed-citation xml:lang="en">Kanash E.V., Panova G.G., Blokhina S.Yu. Optical criteria for assessment of efficiency and adaptogenic characteristics of biologically active preparations. Acta Horticulturae. 2013;1009(ISHS):37–44. DOI: 10.17660/ActaHortic.2013.1009.2.</mixed-citation><mixed-citation xml:lang="ru">Kanash E.V., Panova G.G., Blokhina S.Yu. Optical criteria for assessment of efficiency and adaptogenic characteristics of biologically active preparations // Acta Horticulturae. 2013. 1009 (ISHS). P. 37–44. DOI: 10.17660/ActaHortic.2013.1009.2.</mixed-citation></citation-alternatives></ref><ref id="B4"><label>4.</label><citation-alternatives><mixed-citation xml:lang="en">Graeff S., Claupein W. Quantifying nitrogen status of corn (Zea mays L.) in the field by reflectance measurements. European Journal of Agronomy. 2003;19(4):611–618. DOI: 10.1016/S1161-0301(03)00007-8.</mixed-citation><mixed-citation xml:lang="ru">Graeff S., Claupein W. Quantifying nitrogen status of corn (Zea mays L.) in the field by reflectance measurements // European Journal of Agronomy. 2003. Vol. 19 (4). P. 611–618. DOI: 10.1016/S1161-0301(03)00007-8.</mixed-citation></citation-alternatives></ref><ref id="B5"><label>5.</label><citation-alternatives><mixed-citation xml:lang="en">Kanash E.V., Osipov Y.A. Optical signals of oxidative stressin crops physiological state diagnostics. Precision Agriculture Wageningen. Netherlands; 2009. P. 81–89. DOI: 10.3920/978-90-8686-664-9.</mixed-citation><mixed-citation xml:lang="ru">Kanash E.V., Osipov Y.A. Optical signals of oxidative stressin crops physiological state diagnostics. Precision agriculture Wageningen. Netherlands, 2009. P. 81–89. DOI: 10.3920/978-90-8686-664-9.</mixed-citation></citation-alternatives></ref><ref id="B6"><label>6.</label><citation-alternatives><mixed-citation xml:lang="en">Yakushev V., Kanash E., Rusakov D., Blokhina S. Specific and non-specific changes in optical characteristics of spring wheat leaves under nitrogen and water deficiency. Advances in Animal Biosciences: Precision Agriculture. 2017;8(02):229–232. DOI: 10.1017/S204047001700053X.</mixed-citation><mixed-citation xml:lang="ru">Yakushev V., Kanash E., Rusakov D., Blokhina S. Specific and non-specific changes in optical characteristics of spring wheat leaves under nitrogen and water deficiency // Advances in Animal Biosciences: Precision Agriculture. 2017. Vol. 8 (02). P. 229–232. DOI: 10.1017/S204047001700053X.</mixed-citation></citation-alternatives></ref><ref id="B7"><label>7.</label><citation-alternatives><mixed-citation xml:lang="en">Yakushev V.P., Kanash E.V. Evaluation of wheat nitrogen status by colorimetric characteristics of crop canopy presented in digital images. Journal of Agricultural Informatics. 2016;7(1):65–74. DOI: 10.17700/JAI.2016.7.1.268.</mixed-citation><mixed-citation xml:lang="ru">Yakushev V.P., Kanash E.V. Evaluation of wheat nitrogen status by colorimetric characteristics of crop canopy presented in digital images // Journal of Agricultural Informatics. 2016. Vol. 7(1). P. 65–74. DOI: 10.17700/JAI.2016.7.1.268.</mixed-citation></citation-alternatives></ref><ref id="B8"><label>8.</label><citation-alternatives><mixed-citation xml:lang="en">Sims D.A., Gamon J.A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment. 2002;81(2/3):337–354. DOI: 10.1016/S0034-4257(02)00010-X.</mixed-citation><mixed-citation xml:lang="ru">Sims D.A., Gamon J.A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages // Remote Sensing of Environment. 2002. Vol. 81(2/3). P. 337–354. DOI: 10.1016/S0034-4257(02)00010-X.</mixed-citation></citation-alternatives></ref><ref id="B9"><label>9.</label><citation-alternatives><mixed-citation xml:lang="en">Merzlyak M.N., Solovchenko A.E., Smagin A.I., Gitelson A.A. Apple flavonols during fruit adaptation to solar radiation: spectral features and techniques for non-destructive assessment. Russian Journal of Plant Physiology. 2005;162(2):151–160. DOI: 10.1016/j.jplph.2004.07.002.</mixed-citation><mixed-citation xml:lang="ru">Merzlyak M.N., Solovchenko A.E., Smagin A.I., Gitelson A.A. Apple flavonols during fruit adaptation to solar radiation: spectral features and techniques for non-destructive assessment // Russian Journal of Plant Physiology. 2005. Vol. 162 (2). P. 151–160. DOI: 10.1016/j.jplph.2004.07.002.</mixed-citation></citation-alternatives></ref><ref id="B10"><label>10.</label><citation-alternatives><mixed-citation xml:lang="en">Penuelas J., Baret F., Filella I. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reﬂectance. Photosynthetica. 1995;31:221–230.</mixed-citation><mixed-citation xml:lang="ru">Penuelas J., Baret F., Filella I. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reﬂectance // Photosynthetica. 1995. Vol. 31 (2). P. 221–230.</mixed-citation></citation-alternatives></ref><ref id="B11"><label>11.</label><citation-alternatives><mixed-citation xml:lang="en">Gamon J., Penuelas J., Field C. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efﬁciency. Remote Sensing of Environment. 1992;41(1):35–44.</mixed-citation><mixed-citation xml:lang="ru">Gamon J., Penuelas J., Field C. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efﬁciency // Remote Sensing of Environment. 1992. Vol. 41 (1). P. 35–44.</mixed-citation></citation-alternatives></ref><ref id="B12"><label>12.</label><citation-alternatives><mixed-citation xml:lang="en">Rusakov D.V., Kanash E.V. Spectral characteristics of leaves diffuse reflection in conditions of soil drought: a study of soft spring wheat cultivars of different drought resistance. Plant Soil and Environment. 2022;68(3):137–145. DOI: 10.17221/483/2021-PSE.</mixed-citation><mixed-citation xml:lang="ru">Rusakov D.V., Kanash E.V. Spectral characteristics of leaves diffuse reflection in conditions of soil drought: a study of soft spring wheat cultivars of different drought resistance // Plant. Soil and Environment. 2022. Vol. 68. (3). P. 137–145. DOI: 10.17221/483/2021-PSE.</mixed-citation></citation-alternatives></ref><ref id="B13"><label>13.</label><citation-alternatives><mixed-citation xml:lang="en">Xu H., Ying Y. Application of infrared thermal imaging in the identiﬁcation of citrus on trees. Journal of Infrared and Millimeter Waves. 2004;23:353–356.</mixed-citation><mixed-citation xml:lang="ru">Xu H., Ying Y. Application of infrared thermal imaging in the identiﬁcation of citrus on trees // Journal of Infrared and Millimeter Waves. 2004. Vol. 23. P. 353–356.</mixed-citation></citation-alternatives></ref><ref id="B14"><label>14.</label><citation-alternatives><mixed-citation xml:lang="en">Möller M., Alchanatis V., Cohen Y., Meron M., Tsipris J., Ostrovsky V. Use of thermal and visible imagery for estimating crop water status of irrigated grapevine. Journal of Experimental Botany. 2007;58:827–838. DOI: 10.1093/jxb/erl115.</mixed-citation><mixed-citation xml:lang="ru">Möller M., Alchanatis V., Cohen Y., Meron M., Tsipris J., Ostrovsky V. Use of thermal and visible imagery for estimating crop water status of irrigated grapevine // Journal of Experimental Botany. 2007. Vol. 58. P. 827–838. DOI: 10.1093/jxb/erl115.</mixed-citation></citation-alternatives></ref><ref id="B15"><label>15.</label><citation-alternatives><mixed-citation xml:lang="en">Xu J., Lv Y., Liu X., Dalson T., Yang S., Wu J. Diagnosing Crop Water Stress of Rice using Infrared Thermal Imager under Water Deﬁcit Condition. International Journal of Agriculture and Biology. 2015;18:565–572. DOI: 10.17957/IJAB/15.0125.</mixed-citation><mixed-citation xml:lang="ru">Xu J., Lv Y., Liu X., Dalson T., Yang S., Wu J. Diagnosing Crop Water Stress of Rice using Infrared Thermal Imager under Water Deﬁcit Condition // International Journal of Agriculture and Biology. 2015. Vol. 18. P. 565–572. DOI: 10.17957/IJAB/15.0125.</mixed-citation></citation-alternatives></ref><ref id="B16"><label>16.</label><citation-alternatives><mixed-citation xml:lang="en">Ghazouani H., Capodici. F. Ciraolo G., Maltese A., Rallo G., Provenzano G. Potential of Thermal Images and Simulation Models to Assess Water and Salt Stress: Application to Potato Crop in Central Tunisia. Chemical Engineering Transactions. 2017;58:709–714. DOI: 10.3303/CET1758119.</mixed-citation><mixed-citation xml:lang="ru">Ghazouani H., Capodici F., Ciraolo G., Maltese A., Rallo G., Provenzano G. Potential of Thermal Images and Simulation Models to Assess Water and Salt Stress: Application to Potato Crop in Central Tunisia // Chemical Engineering Transactions. 2017. Vol. 58. P. 709–714. DOI: 10.3303/CET1758119.</mixed-citation></citation-alternatives></ref><ref id="B17"><label>17.</label><citation-alternatives><mixed-citation xml:lang="en">García-Tejero I.F., Rubio A.E., Viñuela I., Hernández A., Gutiérrez-Gordillo S., Rodríguez-Pleguezuelo C.R., Durá-n-Zuazo V.H. Thermal imaging at plant level to assess the crop-water status in almond trees (cv. Guara) under deﬁcit irrigation strategies. Agricultural Water Management. 2018;208:176–186. DOI: 10.1016/j.agwat.2018.06.002.</mixed-citation><mixed-citation xml:lang="ru">García-Tejero I.F., Rubio A.E., Viñuela I., Hernández A., Gutiérrez-Gordillo S., Rodríguez-Pleguezuelo C.R., Durá-n-Zuazo V.H. Thermal imaging at plant level to assess the crop-water status in almond trees (cv. Guara) under deﬁcit irrigation strategies // Agricultural Water Management. 2018. Vol. 208. P. 176–186. DOI: 10.1016/j.agwat.2018.06.002.</mixed-citation></citation-alternatives></ref><ref id="B18"><label>18.</label><citation-alternatives><mixed-citation xml:lang="en">Vieira G.H.S., Ferrarezi R.S. Use of Thermal Imaging to Assess Water Status in Citrus Plants in Greenhouses. Horticulturae. 2021;7(8):249. DOI: 10.3390/horticulturae7080249.</mixed-citation><mixed-citation xml:lang="ru">Vieira G.H.S., Ferrarezi R.S. Use of Thermal Imaging to Assess Water Status in Citrus Plants in Greenhouses // Horticulturae. 2021. Vol. 7 (8), 249. DOI: 10.3390/horticulturae7080249.</mixed-citation></citation-alternatives></ref><ref id="B19"><label>19.</label><citation-alternatives><mixed-citation xml:lang="en">Trentin R., Zolnier S., Ribeiro A., Steidle Neto A.J. Transpiration and leaf temperature of sugarcane under different matric potential values. Engenharia Agricola. 2011;31(6):1085–1095. DOI: 10.1590/s0100-69162011000600006.</mixed-citation><mixed-citation xml:lang="ru">Trentin R., Zolnier S., Ribeiro A., Steidle Neto A.J. Transpiration and leaf temperature of sugarcane under different matric potential values // Engenharia Agricola. 2011. Vol. 31 (6). P. 1085–1095. DOI: 10.1590/s0100-69162011000600006.</mixed-citation></citation-alternatives></ref><ref id="B20"><label>20.</label><citation-alternatives><mixed-citation xml:lang="en">Gardner B.R., Blad B.L., Watts D.G. Plant and air temperatures in differentially irrigated corn. Agricultural Meteorology. 1981;25:207–217.</mixed-citation><mixed-citation xml:lang="ru">Gardner B.R., Blad B.L., Watts D.G. Plant and air temperatures in differentially irrigated corn // Agricultural Meteorology. 1981. Vol. 25. P. 207–217.</mixed-citation></citation-alternatives></ref><ref id="B21"><label>21.</label><citation-alternatives><mixed-citation xml:lang="en">Jackson R.D. Canopy temperature and crop water stress. Advances in Irrigaton. 1982:43–85. DOI: 10.1016/b978-0-12-024301-3.50009-5.</mixed-citation><mixed-citation xml:lang="ru">Jackson R.D. Canopy temperature and crop water stress // Advancesin Irrigaton. 1982. P. 43–85. DOI: 10.1016/b978-0-12-024301-3.50009-5.</mixed-citation></citation-alternatives></ref><ref id="B22"><label>22.</label><citation-alternatives><mixed-citation xml:lang="en">Testi L., Goldhamer D.A., Iniesta F., Salinas M. Crop water stress index is a sensitive water stress indicator in pistachio trees. Irrigation Science. 2008;26:395–405. DOI: 10.1007/s00271-008-0104-5.</mixed-citation><mixed-citation xml:lang="ru">Testi L., Goldhamer D.A., Iniesta F., Salinas M. Crop water stress index is a sensitive water stress indicator in pistachio trees // Irrigation Science. 2008. Vol. 26. 395–405. DOI: 10.1007/s00271-008-0104-5.</mixed-citation></citation-alternatives></ref><ref id="B23"><label>23.</label><citation-alternatives><mixed-citation xml:lang="en">Grant O.M., Tronina L., Jones H.G., Chaves M.M. Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes. Journal of Experimental Botany. 2007;58:815–825. DOI: 10.1093/jxb/erl153.</mixed-citation><mixed-citation xml:lang="ru">Grant O.M., Tronina L., Jones H.G., Chaves M.M. Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes // Journal of Experimental Botany. 2007. Vol. 58. P. 815–825. DOI: 10.1093/jxb/erl153.</mixed-citation></citation-alternatives></ref><ref id="B24"><label>24.</label><citation-alternatives><mixed-citation xml:lang="en">Reynolds M.P., Dreccer F., Trethowan R. Drought-adaptive traits derived from wheat wild relatives and landraces. Journal of Experimental Botany. 2007;58:177–186. DOI: 10.1093/jxb/erl250.</mixed-citation><mixed-citation xml:lang="ru">Reynolds M.P., Dreccer F., Trethowan R. Drought-adaptive traits derived from wheat wild relatives and landraces // Journal of Experimental Botany. 2007. Vol. 58. P. 177–186. DOI: 10.1093/jxb/erl250.</mixed-citation></citation-alternatives></ref><ref id="B25"><label>25.</label><citation-alternatives><mixed-citation xml:lang="en">Leinonen N., Jones H.G. Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress. Journal of Experimental Botany. 2004;55(401):1423–1431. DOI: 10.1093/JXB/ERH146.</mixed-citation><mixed-citation xml:lang="ru">Leinonen N., Jones H.G. Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress // Journal of Experimental Botany. 2004. Vol. 55, No. 401. P. 1423–1431. DOI: 10.1093/JXB/ERH146.</mixed-citation></citation-alternatives></ref><ref id="B26"><label>26.</label><citation-alternatives><mixed-citation xml:lang="en">Araus J.L., Slafer G.A., Reynolds M.P., Royo C. Plant Breeding and Drought in C3 Cereals: What Should We Breed For? Annals of Botany. 2002;89:925–940. DOI: 10.1093/AOB/MCF049.</mixed-citation><mixed-citation xml:lang="ru">Araus J.L., Slafer G.A., Reynolds M.P., Royo C. Plant Breeding and Drought in C3 Cereals: What Should We Breed For? // Annals of Botany. 2002. Vol. 89. P. 925–940. DOI: 10.1093/AOB/MCF049.</mixed-citation></citation-alternatives></ref><ref id="B27"><label>27.</label><citation-alternatives><mixed-citation xml:lang="en">Chesnokov Y.V., Kanash E.V., Mirskaya G.V., Kocherina N.V., Rusakov D.V., Lohwasser U., Börner A. QTL mapping of diffuse reﬂectance indices of leaves in hexaploid bread wheat (Triticum aestivum L.). Russian Journal of Plant Physiology. 2019;66:77–86. DOI: 10.1134/S1021443719010047.</mixed-citation><mixed-citation xml:lang="ru">Chesnokov Y.V., Kanash E.V., Mirskaya G.V., Kocherina N.V., Rusakov D.V., Lohwasser U., Börner A. QTL mapping of diffuse reﬂectance indices of leaves in hexaploid bread wheat (Triticum aestivum L.) // Russian Journal of Plant Physiology. 2019. Vol. 66. P. 77–86. DOI: 10.1134/S1021443719010047.</mixed-citation></citation-alternatives></ref></ref-list></back></article>
