Keywords
Altai Krai
bioclimatic potential
NDVI
MSAVI2
precision agriculture
How to Cite
Abstract
The biopotential productivity of agricultural land, along with the preservation of the biological diversity of adjacent landscapes through the development and implementation of high-tech agricultural technologies, is of critical concern in the current climatic changes and urbanization. The article reports the results of an integrated approach to the development of task maps for differentiated seeding and mineral fertilization using various tillage techniques (conventional subsurface tillage and no-till) in the experimental fields of two farms in the Altai Krai. The farms are located in the Aleiskaya soil and climate zone. The soils in the experimental fields showed a very low nitrate nitrogen content, which did not exceed 3.0 mg/kg of soil in the upper (0–10 cm) layer and 2.7 mg/kg of soil in the 10–20 cm layer. We revealed that one of the main indicators that affects soil fertility is the spatial differentiation of the humus content of humus and the main nutrients. Soil moisture was found to vary at different soil depths (11.4–25.3%), indicating a significant effect of soil fertility grades and autumn tillage techniques on moisture accumulation and distribution at different soil depths in spring, and consequently on the vegetation soil moisture regime and crop yield.
References
Afanasyev RA (2010) Methodology of field experiments on differentiated use of fertilizers in precision agriculture. Problems of Agrochemistry and Ecology 1: 38–44. [In Russian]
Belenkov AI, Tyumakov AYu, Umar S, Mokicheva DS (2013) Agrochemical and biological characteristics of soil fertility in the experimental plot of the precision agriculture center. Izvestiya of Timiryazev Agricultural Academy 3: 53–62. [In Russian]
Belenkov AI, Zhelezova SV, Berezovsky EV, Mazirov MA (2011) Elements of precision agriculture technology in the field experience of Russian State Agrarian University – Moscow Timiryazev Agricultural Academy. Izvestiya of Timiryazev Agricultural Academy 6: 90–100. [In Russian]
Burlakova LM, Rassypnov VA (1990) Soil fertility in the Altai region. Altai State Agrarian University Publishing House, Barnaul, 81 pp. [In Russian]
Chekmarev PA, Lukmanov AA (2011) Mastering elements of precision agriculture in practical agrochemistry of the Republic of Tatarstan. Achievements of Science and Technology of Agro-Industrial Complex 3: 3–4. [In Russian]
Cherepanov AS (2011) Vegetation indices. Geomatics 2: 98–102. [In Russian]
Eremin DI, Kibuk YuP (2017) Differentiated fertilization as an innovative approach to precision agriculture. Bulletin of Krasnodar State Agrarian University 8: 17–26. [In Russian]
Gao BC (1996) NDWI – A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space. Remote Sensing of Environment 58: 257–266. https://doi.org/10.1016/S0034-4257(96)00067-3
Gorbyleva AI, Vorobiev VB, Petrovsky EI (2016) Soil Science. INFRA-M, Moscow, 400 рp. [In Russian]
Kachinsky NA (1970) Physics of soil. Vysshaya Shkola, Moscow, 360 рp. [In Russian]
Kaufman YJ, Tanre D (1992) Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Transactions on Geoscience and Remote Sensing 30: 261–270. [Electronic resource] https://doi.org/10.1109/36.134076 (access date: 03.04.2023).
Kravtsov SL (2010) Estimation of the humidity of the earth’s surface using images of remote sensing of the Earth. Informatics 4(28): 27–35. [In Russian]
Kustarnikov IA, Gerasimov EV, Shmatko GG, Chapp IV (2013) Differentiated mineral fertilizations as an element of precision agriculture. Collection of scientific works. Sworld 15(4): 53–55. [In Russian]
Lobkov VT, Plygun SA (2012) Analysis of priorities for development of agriculture at current stage of scientific and technological progress. Russian Journal of Agricultural and Socio-Economic Sciences 2(2): 3–9. https://doi.org/10.18551/rjoas.2012-02.01 [In Russian]
Lyubchich VA, Popov SV, Bakirov FG, Dolmatov AP, Kuramshin MR (2012) Differentiated fertilization in precision agriculture. News of the Orenburg State Agrarian University 1(1): 73–75. [In Russian]
Matveenko DA (2012) Methodological approaches for implementation of differentiated nitrogen fertilization in spring wheat crops. Agrophysics 2(6): 16–23. [In Russian]
Ovcharova NV, Silantyeva MM, Belyaev VI, Gulyanov YuA, Sokolova LV, Plutalova TG, Botvich IYu, Emelyanov DV (2023) Application of methods and approaches of biologization of agriculture to assess soil fertility and potential yield in the steppe and forest-steppe zones of the Altai Territory. Bulletin of the Altai State Agrarian University 9(227): 5–13. https://doi.org/10.53083/1996-4277-2023-227-9-5-13 [In Russian]
Ovcharova NV, Silantieva MM, Zhukova EY, Sokolova LV, Elesova NV, Riabtsev VI, Zakrevskiy AK (2022) The state of agrocenosises and hayfield meadows in farm units of Prialeisk soil and climate zone (Altai Territory). Acta Biologica Sibirica 8: 733–748. https://doi.org/10.5281/zenodo.7750948
Pisman TI, Shevyrnogov AP, Larko AA, Botvich IYu, Emelyanov DV, Shpedt AA, Trubnikov YuN (2019) Information content of spectral vegetation indices for deciphering agricultural fields. Biophysics 64(4): 740–746. https://doi.org/10.1134/S0006350919040158 [In Russian]
Qi J, Chehbouni A, Huete AR, Kerr YH, Sorooshian S (1994) A modified soil adjusted vegetation index. Remote Sensing of Environment 48(2): 119–126. https://doi.org/10.1016/0034-4257(94)90134-1
Schellberg J, Hill MJ, Gerhards R, Rothmund M, Braun M (2008) Precision agriculture on grassland: Applications, perspectives and constraints. European Journal of Agronomy 29: 59–71. https://doi.org/10.1016/j.eja.2008.05.005
Shevyrnogov AP, Emelyanov DV, Malchikov NO, Demyanenko TN, Ivchenko VK, Botvich IYu (2021) Early forecasting of crop yields based on Dove satellite data (Planet Scope). Biophysics 66(6): 1164–1170. https://doi.org/10.1134/S0006350921060166 [In Russian]
Vadyunina AF, Korchagina ZA (1986) Methods for studying physical properties of soil. Agropromizdat, Moscow, 416 рp. [In Russian]
Vaudour E, Gomez C, Loiseau T, Baghdadi N, Loubet B, Arrouays D, Ali L, Lagacherie P (2019) The impact of acquisition date on the prediction performance of topsoil organic carbon from Sentinel-2 for croplands. Remote Sensing 11: 2143. https://doi.org/10.3390/rs11182143
Yakushev VP, Yakushev VV, Yakusheva LN, Bure VM (2009) Digital yield map as an information basis for precision fertilization. Agriculture 3: 16–19. [In Russian]
Acta Biologica Sibirica is a golden publisher, as we allow self-archiving, but most importantly we are fully transparent about your rights.
Authors may present and discuss their findings ahead of publication: at biological or scientific conferences, on preprint servers, in public databases, and in blogs, wikis, tweets, and other informal communication channels.
ABS allows authors to deposit manuscripts (currently under review or those for intended submission to ABS) in non-commercial, pre-print servers such as ArXiv.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).