Study of the dynamics of grass yield within the agricultural landscape based on long-term monitoring
https://doi.org/10.30766/2072-9081.2022.23.2.221-229
Abstract
Yield monitoring of a five-component grass stand in a breeding field within a moraine hill was carried out in 2003- 2018 in order to find patterns of its dynamics in the agrolandscape. The grass was used in the conditions of the Tver region without fertilizers in a single-cut mode in a field crossing all microlandscape positions of the hill (transcct) and divided into 30 plots. Annual data on productivity of grass mixture on each plot are presented in the form of: 1) absolute yield (specific hay yield); 2) relative yield (expressed as a percentage to maximum yield on a transect in a definite year). It was revealed that the yield of grasses is maximum in the central parts (≈ 6.5 t/ha) and minimal in the upper parts of the hillsides and at the top (≈ 5.2 t/ha). Time variability of yield depends on the geological structure of the soils ‒ increases with the transition from powerful binomials (≈ 40 %) to low-powerful ones (≈ 65 %). Correlation analysis showed that the transition to relative units (% of the yield) can significantly reduce the impact of climate on data variability. The maximum coincidence of temporal dynamics of different yield indicators is noted at the upper elevations ‒ here climatic conditions do not have a significant impact on the yield, as on slopes. Changes in the sum of the active temperatures have the greatest influence on the yield. Average indicators of correlation coefficients of yield and temperature sums are negative on the plots of soil distribution on powerful and medium-powerful binomials and positive on soils of low-powerful binomials. There has been found an inversely proportional dependence of the absolute yield of grasses on the sums of active temperatures in the pre-cut periods and in September and directly proportional in the second half of summer. Increasing the sum of temperatures contributes to a decrease in relative yields on sandy soils and optimizes the production process on loams and light loams. Dispersion analysis has shown that the main influence of temperatures on absolute yield is exerted by soil hydromorphism. The degree of impact of temperatures on relative yield depends on the nature of water exchange in the agrolandscape, the exposure of slopes (energy) and granulometric composition of soils. The results will make it possible to adapt measures for the placement of grass stands, regulation of water and thermal regimes of soils to farm conditions.
About the Authors
D. A. IvanovRussian Federation
DSc in Agricultural science, professor, corresponding member of the Russian Academy of Sciences, chief researcher,
Emmaus Village, 27, Kalininsky District, Tver Region, 170530
O. V. Karaseva
Russian Federation
PhD in Agricultural science, senior researcher,
Emmaus Village, 27, Kalininsky District, Tver Region, 170530
M. V. Rublyuk
Russian Federation
PhD in Agricultural science, senior researcher,
Emmaus Village, 27, Kalininsky District, Tver Region, 170530
O. N. Antsiferova
Russian Federation
PhD in Agricultural science, scientific secretary,
Emmaus Village, 27, Kalininsky District, Tver Region, 170530
References
1. Yakushev V. P., Yakushev V. V. Prospects for "smart agriculture" in Russia. Herald of the Russian Academy of Sciences. 2018;88(5):330-340. DOI: https://doi.org/10.1134/S1019331618040135
2. Ivanov D. A. Vidy dinamiki sostoyaniya meliorirovannykh agrolandshaftov. [Types of dynamics of the state of meliorated agrolandscapes]. Agrarnaya nauka Evro-Severo-Vostoka = Agricultural Science Euro-NorthEast. 2019;(4):14-18. (In Russ.). DOI: https://doi.org/10.30766/2072-9081.2018.65.4.04-18
3. Ivanova N. N., Kapsamun A. D., Ambrosimova N. N. Kormovaya i sredoobrazuyushchaya rol' pastbishchnykh travostoev v usloviyakh osushaemykh pochv Tsentral'nogo Nechernozem'ya. [Forage and environmentforming potential of pasture grasses on the drainage land of the Central Non-chernozem region]. Kormoproizvodstvo = Forage Production. 2019;(4):14-17. (In Russ.). URL: https://elibrary.ru/item.asp?id=37275406
4. Kiryushin V. I. Kontseptsiya razvitiya zemledeliya v Nechernozem'e. [The concept of the development of agriculture in the Non-Chernozem region]. Saint-Petersburg: OOO «Kvadro», 2020. 276 p.
5. Kiryushin V. I. The Management of Soil Fertility and Productivity of Agrocenoses in Adaptive-Landscape Farming Systems. Eurasian Soil Science. 2019;52(9):1137-1145. DOI: https://doi.org/10.1134/S1064229319070068
6. Ivanov A. I., Ivanova Zh. A., Tsyganova N. A. Vliyanie landshaftnykh usloviy na effektivnost' tochnoy sistemy udobreniya v zvene polevogo sevooborota. [Influence of landscape conditions on efficiency of precision fertilizer systemin crop rotation link]. Agrokhimiya. 2020;(2):69-76. (In Russ.). DOI: https://doi.org/10.31857/S0002188120020040
7. Heil K., Heinemann P., Schmidhalter U. Modeling the effects of soil variability, topography, and management on the yield of barley. Frontier in Environmental. 2018;6:146. DOI: https://doi.org/10.3389/fenvs.2018.00146
8. Komissarov M. A., Klik A. The impact of no-till, conservation, and conventional tillage systems on erosion and soil properties in Lower Austria. Eurasian soil science. 2020;53:503-511. DOI: https://doi.org/10.1134/S1064229320040079
9. Jesedullaev S. T., Noda N. B. Dinamika agrokhimicheskikh pokazateley dernovo-podzolistykh pochv v agrolandshaftakh Verkhnevolzh'ya i priemy vosproizvodstva ikh plodorodiya. [Dynamics of agrochemical indicators of sod-podzolic soils in agrolandscapes of the Upper Volga region and methods of reproduction of their fertility]. Zemledelie. 2020;(2):12-16. (In Russ.). DOI: https://doi.org/10.24411/0044-3913-2020-10203
10. Ivanov A. L., Shein E. V., Skvortsova E. B. Tomography of soil pores: from morphological characteristics to structural-functional assessment of pore space. Eurasian Soil Science. 2019;52(1):50-57. DOI: https://doi.org/10.1134/S106422931901006X
11. Bulgakov D. S., Rukhovich D. I., Shishkonakova E. A., Vil’chevskaya E. V. The application of soilagroclimatic index for assessing the agronomic potential of arable lands in the forest-step
Review
For citations:
Ivanov D.A., Karaseva O.V., Rublyuk M.V., Antsiferova O.N. Study of the dynamics of grass yield within the agricultural landscape based on long-term monitoring. Agricultural Science Euro-North-East. 2022;23(2):221-229. (In Russ.) https://doi.org/10.30766/2072-9081.2022.23.2.221-229