Author:
Ivanov D. А.,Karaseva O. V.,Rublyuk М. V.
Abstract
The paper presents the results of statistical processing of data from long-term monitoring of oat yields, both in clean crops and with sowing of perennial grasses. Studies were conducted in 1998-2021 on an agroecological transect within a polygon located on a moraine hill 4 km east of the city of Tver. In each of the 120 test points located on the transect, the correlation coefficient of oat yield from the average monthly temperature at different stages of phytocenosis life (May, June, July and August) was determined. Studies show that correlation analysis is a powerful statistical research tool adaptive reactions of plants to landscape and agroclimatic conditions, with the help of which it is possible to identify the features of the impact of temperatures on crop yields in various technological and landscape conditions. It was revealed that the average monthly temperatures do not have a significant impact on the yield of net oat crops - many correlation coefficients are not reliable. Growing oats together with grasses leads to an even greater reduction in the dependence of the crop on temperatures, which can be explained by better thermal and hydroregulation in complex crops. It is established that on the upper hypsometric elevations of the landscape with the most variegated soil cover in clean crops there is an inhibition of plants in June-July, and in complex phytocenoses these locations are most favorable for seedlings. It is concluded that the phytocenosis of oats with grass seeding has greater plasticity compared to its pure crops. It can be distributed in the agrolandscape almost everywhere, while clean crops are more rationally placed on the lower parts of the slopes and in depressions.
Publisher
The Russian Academy of Sciences
Cited by
1 articles.
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