Impact of Irrigation Erosion on the Agrochemical Properties of Mountain-brown Soils and the Productivity of Cereals and Legumes

The cultivation of perennial grasses in mountainous areas protects the slopes from erosion and provides animals with good food. According to the results of the studies, it was determined that the restoration of fertility and the ecological balance of erosional lands and the implementation of soil and agrotechnical measures is of great importance for increasing yields. Thanks to the application of these measures, as a result of the improvement of the water-physical properties of the affected lands, runoff of surface waters is prevented. Perennial grasses accumulate the nitrogen atmosphere of legumes, enrich the soil with organic substances, accelerate the formation of a water-resistant granular-fuel structure and improve its water-physical properties, which in turn contributes to the rapid assimilation of minerals.

THE IMPORTANCE OF SOIL FACTORS FOR CROPS IN AGRICULTURE

This article presents the high yields of crops due to the improvement of the factors and propertiesof soil that are necessary for plants. This is due to the fact that the application of organic fertilizers, ie composts, at 20 t/ha, the agrophysical and agrochemical properties of the soil are optimal, water, air, heat and nutrient regimesof the soil are improved at the level of plant demand. In this process, the growth, development and high yields of crops are ensured. KEYWORDS: Agriculture, soil productivity, agrophysical properties, agrochemical properties, fertilizers, nutrients, moisture, soil fertility.

Change in the agrochemical properties of soils and the productivity of the wheel under the influence of electromagnetic waves

In recent years, in the world, the anthropogenic impact on the soil, entailing various changes in its properties, is becoming more severe. Especially it is necessary to note the lands located on the boundaries of the protection zones of linear objects. This article studies the agrochemistry of soils that are under zones and linear protection objects and the effect of electric waves on wheat productivity. Overhead power lines have a negative impact on the environment, in particular on its ecological, social, and economic systems due to the high intensity of the electromagnetic field around the lead wires. High-voltage power lines do not significantly affect the content of humus and nutrients.

Assimilation dynamics of saline soil areas by cultivating biomeliorant herbal plant in the lower Amudarya region

5 types of herbal plants (Herbal Chamomile, Herbal Clove, Dyed Royan, Peppermint, Liquorice) were developed for growth and development, productivity and primary agro-technics of their cultivation in the saline soils of Khorezm region. Bio-ecological and bio-melioration properties of salt-tolerant herbal plants as assimilators in the process of assimilation of saline soils were studied. The adaptor-genetic potential of the selected herbal plants as a plant that assimilates in moderately and strongly saline soils was determined. The agrochemical properties of the soil and its mechanism have been developed in the process of bio-melioration carried out using the cultivation of assimilating herbal plants.

Spatial Prediction of Agrochemical Properties on the Scale of a Single Field Using Machine Learning Methods Based on Remote Sensing Data

Creating accurate digital maps of the agrochemical properties of soils on a field scale with a limited data set is a problem that slows down the introduction of precision farming. The use of machine learning methods based on the use of direct and indirect predictors of spatial changes in the agrochemical properties of soils is promising. Spectral indicators of open soil based on remote sensing data, as well as soil properties, were used to create digital maps of available forms of nitrogen, phosphorus, and potassium. It was shown that machine learning methods based on support vectors (SVMr) and random forest (RF) using spectral reflectance data are similarly accurate at spatial prediction. An acceptable prediction was obtained for available nitrogen and available potassium; the variability of available phosphorus was modeled less accurately. The coefficient of determination (R2) of the best model for nitrogen is R2SVMr = 0.90 (Landsat 8 OLI) and R2SVMr = 0.79 (Sentinel 2), for potassium—R2SVMr = 0.82 (Landsat 8 OLI) and R2SVMr = 0.77 (Sentinel 2), for phosphorus—R2SVMr = 0.68 (Landsat 8 OLI), R2SVMr = 0.64 (Sentinel 2). The models based on remote sensing data were refined when soil organic matter (SOC) and fractions of texture (Silt, Clay) were included as predictors. The SVMr models were the most accurate. For Landsat 8 OLI, the SVMr model has a R2 value: nitrogen—R2 = 0.95, potassium—R2 = 0.89 and phosphorus—R2 = 0.65. Based on Sentinel 2, nitrogen—R2 = 0.92, potassium—R2 = 0.88, phosphorus—R2 = 0.72. The spatial prediction of nitrogen content is influenced by SOC, potassium—by SOC and texture, phosphorus—by texture. The validation of the final models was carried out on an independent sample on soils from a chernozem zone. For nitrogen based on Landsat 8 OLI R2 = 0.88, for potassium R2 = 0.65, and for phosphorus R2 = 0.31. Based on Sentinel 2, for nitrogen R2 = 0.85, for potassium R2 = 0.62, and for phosphorus R2 = 0.71. The inclusion of SOC and texture in remote sensing-based machine learning models makes it possible to improve the spatial prediction of nitrogen, phosphorus and potassium availability of soils in chernozem zones and can potentially be widely used to create digital agrochemical maps on the scale of a single field.

Influence of Method, Duration and Norms of Application of Logon Minefield Bentonite Mud on the Amount of Nutrients in the Soil

The article discusses the impact of the application of bentonite sludge from the Logan deposit in different methods, terms and standards on the nutrients in the soil in the conditions of meadow saline, moderately saline soils of Central Fergana.As a result of application of Logan bentonite mud under autumn plowing at the rate of 1.5-3.0 t / ha per year, in three years in the driving layer of the soil humus 0.003-0.007%, total nitrogen 0.002-0.006%, phosphorus 0.005-0.015%, potassium 0.012-0.030 % increase and reports of improved agrochemical properties

Chicken droppings influence on sod-podzolic soil fertility change studying experience

The aim of the research was to study the effect of fresh chicken droppings on the dynamics of the physical-chemical and agrochemical properties of sod-podzolic soil and the yield of grain crops. In the sod-podzolic light loamy soil of the Yaroslavl region in the layer of 0-0.20 m in May, fresh chicken droppings were embedded at the dose of 120 t/ha. By autumn, in the 0-0.40 m layer of pHKc1 increased from 4.53-4.99 to 5.38-7.09, the content of mobile phosphorus and exchangeable potassium increased by 2.0-2.4 times, nitrate and ammonium nitrogen - 3-5 times. The content of nitrates in the soil has exceeded the Maximum Allowable Concentration level. The grain yield of the spring wheat studied varieties, triticale and barley varied from 6.7 to 9.5 t/ha, chaffy oats - from 5.7 to 5.9, hulless oats - from 4.4 to 4.6 t/ha. At the beginning of the growing season of crops in the 0-0.40 m layer, the stocks of nitrate nitrogen were close to the stocks of the autumn observation period of 2019, and ammonium nitrogen decreased by 285 kg/ha.

The effect of organic fertilizers on the physico-chemical and agrochemical properties of sod-podzolic soils

Studies of the effect of litter chicken manure applied in doses of 500-1000 t/ha showed a significant increase in the humus content in soils up to 2.8-5.2%, led to an increase in the content of thermophilic microflora in soils up to 12 · 105 CFU/ g, to an increase in the content of mobile phosphates up to 1200 mg/kg. However, the content of mobile forms of heavy metals (Pb, Zn, Cu, Ni) also increased. The increase in humus content in soils positively correlated with the content of mobile phosphates (r up to 0.5). Keywords: SOD-PODZOLIC SOIL, FERTILIZERS, CHICKEN MANURE, AGROCHEMICAL AND PHYSICO-CHEMICAL SOIL PROPERTIES