2017
DOI: 10.3103/s1068367417020112
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Use of geoinformation and neurotechnology to assess and to forecast the humus content variations in the steppe soils

Abstract: Abstract-This paper reports the results obtained using the systemic basin approach, geoinformation, and neurotechnology for modeling and forecasting of the humus spatial inhomogeneity and content variations in the steppe and dry steppe zones (Kherson oblast, Ukraine). The general trend of such variations has been determined in the 0-40 cm layer for 42 years. The intensive use of irrigation and drainage activities in 1970-1989 resulted in a significant humus depletion by 0.36% on average (from 2.56% to 2.2%). T… Show more

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Cited by 5 publications
(4 citation statements)
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“…Dehumification of soils is explained by an increased mineralization of organic matter as a result of intensive treatment and imbalance of production and soil formation processes, insufficient intake of crop residues and organic fertilizers within the arable horizon, increase in the proportion of tilled crops, reduction in the proportion of perennial grasses in field crop rotations, dominating use of mineral fertilizers (especially their physiologically acid forms), insufficient use of crop residues as organic fertilizers, stubble burning, frequent burning of residual straw, water erosion, including irrigation erosion, and soil deflation, as well as the result of a long-lasting irrigation [LISETSKII et al 2017a]. Over the last 50 years, the intensification of negative degradation processes in the soil cover has resulted in the decrease of the humus content in steppe soils by 0.36% (from 2.56 to 2.20%).…”
Section: Resultsmentioning
confidence: 99%
“…Dehumification of soils is explained by an increased mineralization of organic matter as a result of intensive treatment and imbalance of production and soil formation processes, insufficient intake of crop residues and organic fertilizers within the arable horizon, increase in the proportion of tilled crops, reduction in the proportion of perennial grasses in field crop rotations, dominating use of mineral fertilizers (especially their physiologically acid forms), insufficient use of crop residues as organic fertilizers, stubble burning, frequent burning of residual straw, water erosion, including irrigation erosion, and soil deflation, as well as the result of a long-lasting irrigation [LISETSKII et al 2017a]. Over the last 50 years, the intensification of negative degradation processes in the soil cover has resulted in the decrease of the humus content in steppe soils by 0.36% (from 2.56 to 2.20%).…”
Section: Resultsmentioning
confidence: 99%
“…Встановлено склад кращих травостоїв, нагромадження ними рослинної маси та показники якості корму за різних груп осипаємості. Для різних злакових трав визначено строки настання збиральної стиглості як основи побудови лучних конвеєрів для поліпшення надходження високоякісної рослинної маси протягом сезону та більш раціонального використання трудових ресурсів і сінозбиральної техніки, створення кращих умов для заготівлі сіна за нестійкої погоди 6,7 .…”
Section: вступunclassified
“…Гілки в нижній частині волоті зібрані в мутовки по 6-7 (частіше по 5). Колоски довгі, багатоквіткові (5)(6)(7)(8)(9)(10)(11)(12).…”
Section: різновидність багаторічних злакових травunclassified
“…As a result of neuro-prognosis, it was established (LISETSKII et al, 2017) that in the soils of the dry Steppe zone, using existing agricultural technologies, the process of gradual dehumidification is predicted: on rainfed lands -by 0.01, on irrigated lands -by 0.03 percent per year and a reduction in the area of land, characterized by medium and high humus content. Lisetskii (2012) emphasized that the removal of humus and nutrients with washed away soil leads to a deterioration in its physical properties and a decrease in fertility, a decrease in crop productivity on eroded lands on average by 10-60%, and an increase in the cost of their irrigation and drainage.…”
Section: Independent Journal Of Management and Production (Ijmandp)mentioning
confidence: 99%