Аннотация
The steppe zone is characterized by high dynamism of environmental conditions including sharp climatic fluctuations that affect both the possibilities of agriculture and the state of steppe landscapes. Further development of agriculture without taking into account changing climatic and environmental factors increases risks both for steppe ecosystems and for the sustainability of agriculture. The field production of the agro-climatic zones of the Altai Territory is characterized by the high variability of gross yields associated with the dynamics of precipitation, air temperature, and soil fertility. Under the current conditions, the analysis of the temporal and spatial dynamics of bioclimatic potential is of high practical importance for the development and implementation of adaptive agricultural technologies. A retrospective analysis was carried out and a modern bio-climatic characteristic of model territories representing various agroecological zones was compiled for this purpose. The object of research was data on average daily, average monthly, and average annual air temperatures, the level of precipitation, the water vapor pressure, and relative humidity. Statistical processing of analytical data was carried out in Excel. Calculations revealed significant temporal and spatial dynamics of the BCP. Spatially, it is characterized by a significant decrease in a north-western orientation. The lowest average values, 1.71-1.81 units, were observed in the Kulunda and Rubtsovskaya agroecological zones, with a coefficient of variation of more than 20.0%. The Zarinskaya and Aleyskaya agroecological zones were characterized by the highest values of BCP, and the Predgornaya zone presented maximum values of BCP, at the level of 2.70 units with high stability. Temporally, the BCP of the Zarinskaya, Kulunda, and Priobskaya agroclimatic zones is characterized by a negative trend; in other zones, its almost zero balance is noted. A sufficiently expressed difference in the BCP of various agroecological zones has an impact on the realization of the biological potential of cultivated crops. Analysis of the level of development of the vegetative mass of spring wheat by determining NDVI confirmed this assumption. For a systematic assessment of the influence of climatic and anthropogenic factors on the production process of field crops and the development of measures for the rational use of agricultural landscapes, it is advisable to determine the potential yield according to the BCP, determine the degree of its implementation in the economic harvest and justify techniques for leveling limiting factors in agrotechnology of individual agroecological zones.
Литература
Antonov S А (2018) Analysis of the dynamics of the climatically determined amount of black fallow in the Stavropol Krai. Science News in APC 1(10): 5-8. https://doi.org/10.25930/2218-855x-1-10–511
Arisnabarreta S, Miralles D (2015) Grain number determination under contrasting radiation and nitrogen conditions in 2-row and 6-row barleys. Crop and Pasture Science 66(5): 456-465. https://doi.org/10.1071/CP14208
Chernova O V, Alyabina I O, Bezuglova O S, Litvinov Yu A (2020) The current state of the humus content of arable chernozems of the true steppes (the example of the Rostov region, Russia). South of Russia: ecology, development 15(4): 99-113. https://doi.org/10.18470/1992‐1098‐2020‐4‐99‐113 [in Russian]
Gulyanov Yu A (2019) Monitoring of the phytometric indications using innovative crop scanning methods. Taurida Herald of the Agrarian Sciences 3(19): 64-76 https://elibrary.ru/item.asp?id=41445755 [in Russian]
Gulyanov Yu A, Dosov D Z, Umarova S A (2010) Efficiency of using bioclimatic resources in winter wheat cultivation in Orenburg region. Izvestia Orenburg State Agrarian University 2(26): 48-50 https://www.elibrary.ru/item.asp?id=14999481 [in Russian]
EMISS State statistics / Crop yield (per harvested area) (2022) [Digital source] Available at: http://www.fedstat.ru/indicator/31533 (accessed 22.05.2022)
Guo S, Zhang Z, Guo E, Fu Z, Gong J, Yang X (2022) Historical and projected impacts of climate change and technology on soybean yield in China. Agricultural Systems 203: 103522
Karataev M, Clarke M, Salnikov V, Bekseitova R, Nizamova M (2022) Monitoring climate change, drought conditions and wheat production in Eurasia: the case study of Kazakhstan. Heliyon 8(1): e08660. https://doi.org/10.1016/j.heliyon.2021.e08660
Khripunov A I, Obshchiya E N, Galushko N A (2021) Soil drifting in the conditions of slope lands. Proceedings of Gorsky State Agrarian University 58(2): 38-43. https://www.elibrary.ru/item.asp?id=46221688 [in Russian]
Kincharov A I, Taranova T Yu, Dyomina E A (2020) Specific reaction of spring soft wheat varieties to weather conditions. Bulliten KrasSAU 9(162): 61-68. https://doi.org10.36718/1819-4036-2020-9-61-68 [in Russian]
Kiryushin V I (1993) The concept of adaptive landscape farming. – Pushchino: Pushchinsky Scientific Center. – 236 p.
Kiryushin V I (2000) Ecologization of agriculture and technological policy. - M.: Publishing House of the TAA. - 473 p.
Koshelev B S, Petsevich V V (2015) Influence of an environment on labor productivity in grain production of the Omsk region. The economy of agriculture in Russia 12: 55-59. https://www.elibrary.ru/item.asp?id=25137987 [in Russian]
Pavlova V N, Karachenkova A A (2020) Assessment of changes in climate-based productive of summer wheat in the main regions of its cultivation in Russia. Fundamental and applied climatology 4: 68-87. https://doi.org/10.21513/2410-8758-2020-4-68-87 [in Russian]
Perfileva N I, Korolyova L F (2015) Improvement of tillage systems in arid zone.Izvestiya of the Kabardino-Balkarian State Agrarian University named after V.M. Kokov 3(9): 33-37. https://www.elibrary.ru/item.asp?id=48028175 [in Russian]
Precipitation and air temperature (2022) [Digital source] Available at: http://aisori-m.meteo.ru/waisori/select.xhtml (accessed 10.08.2022)
Rassypnov V A (2012) Agro-ecological zoning based on soil evaluation. Bulletin of Altai state agricultural university 21(98): 039-041 https://www.elibrary.ru/item.asp?id=18725846 [in Russian]
Rusanov A M (2022) Natural rehabilitation of degraded steppe chernozems in the Volga-Ural interfluve area. Geography and natural resources 43(3): 4651. https://www.elibrary.ru/item.asp?id=49396371 [in Russian]
Schierhorn F, Hofmann M, Adrian I, Bobojonov I, Muller D (2020) Spatially varying impacts of climate change on wheat and barley yields in Kazakhstan. Journal of Arid Environments 178: 104164. https://doi.org/10.1016/j.jaridenv.2020.104164
Selyaninov G T (1928) On the agricultural assessment of climate. Proceedings on agricultural meteorology 20: 165-177. https://rusneb.ru/catalog/000934_000046_RuPRLIB-12013198_122259/ [in Russian]
Shashko D I (1985) Taking into account the bioclimatic potential. Agriculture 4: 19-26. [in Russian]
Sieling K, Kage H (2022) Winter barley grown in a long-term field trial with a large variation in N supply: Grain yield, Yield components, protein concentration and their trends. European Journal of Agronomy 136: 126505. https://doi.org/10.1016/j.eja.2022.126505
Siptits S O (2018) Conceptual provisions on adaptation of regional agri-food systems to long-term climate change. Economy labor management in agriculture 4: 17-22. https://doi.org/10.33938/184-17 [in Russian]
Sokolova L V, Belyayev V I (2017) Forecasting model of spring soft wheat yield in temperate arid forest-outlier steppe of the Altai region. Bulletin of Altai state agricultural university 12(158): 54-57. https://cyberleninka.ru/article/n/model-prognozirovaniya-urozhaynosti-yarovoy-myagkoy-pshenitsy-v-umerenno-zasushlivoy-kolochnoy-stepi-altayskogo-kraya/viewer [in Russian]
Tatarintsev L M, Tatarintsev V L, latysheva O A, Nikulin A A (2016) Vestnik of the Altai State Agrarian University 4(138): 76-82. https://www.elibrary.ru/item.asp?id=25895004 [in Russian]
Tikhonov V E (2000) Bioclimatic potential, its use and sustainability of grain production in the Southern Urals. Science to agriculture: Proceedings of the International Conference on increasing the sustainability of agricultural production, Orenburg, September 29-30, 1998. Orenburg: Publishing House of the Orenburg Research Agricaltural Institute, 2000. pp. 26-36. [in Russian]
Vasilyev Yu I, Belyakov A M, Nazarova M V (2020) Modeling of conection of crop yields of Volgograd region and precipitation in may and june. Izvestia of the Lower Volga Agro-University Complex 2(58): 39-45. https://doi.org10.32786/2071-9485-2020-02-03 [in Russian]
Wang T, Li N, Li Y, Lin H, Yao N, Chen X, Liu D, Yu Q, Feng H (2022) Impact of climate variability on grain yields of spring and summer maize. Computers and Electronics in Agriculture 199:107101. https://doi.org/10.1016/j.compag.2022.107101
Weather and climate (2022) [Digital source] Available at: http://www.pogodaiklimat.ru/history.php (аccessed 10.03.2022 – 10.08.2022)
Zhukov A V, Polevoy A N, Vitchenko A N, Danielov S A (1989) Mathematical models for assessing agro-climatic resources - L.: Hydrometeoizdat. pp. 11-26. [in Russian]
Zhurina L L, Losev A P (2012) Agrometeorology. -St. Petersburg: LLC "Quadro", 2012. – 368 p. [in Russian]
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