scholarly journals Kinetic modeling indicates changes in the soil quality of agroecosystems in the Brazilian Cerrado

2021 ◽  
pp. e00472
Author(s):  
Leciana de Menezes Sousa Zago ◽  
Márcia Thaís de Melo Carvalho ◽  
Elisa Flávia Luiz Cardoso Bailão ◽  
Luciane Madureira de Almeida ◽  
Samantha Salomão Caramori
2020 ◽  
Vol 12 (2) ◽  
pp. 387-398
Author(s):  
Sylvia O. OGOANAH ◽  
Uzoamaka N. NGWOKE ◽  
Edokpolor O. OHANMU ◽  
Pascal C. OKOYE ◽  
Beckley IKHAJIAGBE

The study investigated the enhancement of soil quality of an oil-polluted ultisol using livestock wastes. Top soil (0 - 10 cm) was obtained as a pooled sample and polluted with spent lubricating oil at 10% w/w. The soil was subsequently amended with sun-dried goat (GT), rabbit (RB), and poultry (PG) dung at 10% w/w on dry weight basis both in singles, double-mixed, and triple-mixed combinations. Twelve weeks after treatment application, results showed that there was a 93.9% decrease (p<0.05) in bacterial colony count in the oil-polluted soil compared to the control. Penicillium notatum and Aspergillus niger as well as Bacillus sp. and Proteus sp. were the prominent fungal and bacterial species identified respectively. The most abundant plant in the soil seed bank was Panicum maximum with 10.4% abundance and this showed possible involvement of the plant in remediation of oil-pollution. The total hydrocarbon content of the oil-polluted soil was 9984.0 mg/kg, compared to 3170.6 mg/kg when amended with RB+GT, implying 76.77% remediation efficiency. Among several trials employed in this study, the combination of rabbit and goat wastes proved to be more effective in reducing the total hydrocarbon content of oil-polluted soil and therefore, is recommended as a potential candidate for application in the bioremediation of such soil.


PLoS ONE ◽  
2010 ◽  
Vol 5 (9) ◽  
pp. e12346 ◽  
Author(s):  
John P. Reganold ◽  
Preston K. Andrews ◽  
Jennifer R. Reeve ◽  
Lynne Carpenter-Boggs ◽  
Christopher W. Schadt ◽  
...  
Keyword(s):  

Author(s):  
Maria Eugenia Araujo Silva Oliveira ◽  
Thais de Oliveira Alves ◽  
Luiz Carlos Gutkoski ◽  
Martha Zavariz de Miranda ◽  
Mariana Simões Larraz Ferreira ◽  
...  

Author(s):  
Sushri Shainee Singh ◽  
Narendra Swaroop ◽  
Tarence Thomas
Keyword(s):  

2020 ◽  
pp. 31-67
Author(s):  
V. S. Stolbovoy ◽  
A. M. Grebennikov

The study presents three groups of Soil Quality Indicators (SQI) of arable lands in the Russian Federation, such as agroclimate conditions, soil parameters and negative soil characteristics. The selection of SQI meets the requirements of the crop growth model for calculating the standard crop yield. The application of SQI in the Grain Equivalent Model allows ranking quality of the soils of agricultural lands in the country. The share of the best quality Chernozems with the standard yield of grain crops exceeding 4 t/ha is about 10%. At the same time, arable Chernozems occupy nearly 66% of total area of agricultural lands. More than 74% of the arable lands including podzolized and leached Chernozems in the northern part and Chernozems southern in the southern part of the agricultural zone are characterized by medium quality with the standard yield of grain crops 2-4 t/ha. About 10% of the arable land occupied by Chestnut solonetzic and saline soils are of poorer quality with the standard yield of grain crops less than 1 t/ha. The proposed indicators are included in the government programs for valuating and monitoring the quality of agricultural lands. The universal validity of indicators is a basis for the development of a new generation of standards for the protection and rational use of soils based on modern digital technologies and GIS approaches.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yun Teng ◽  
Boyuan Pang ◽  
Xiangyu Guo

PurposeThe authors are committed to providing the Chinese government with a foundation for making decisions that will protect black land and ensure long-term agricultural development.Design/methodology/approachUsing the grounded theory approach, this study investigates the influencing factors affecting the quality of black land in Northeast China and proposes a hypothetical model for the mechanism of the influencing factors on the quality of black land in Northeast China.FindingsThe factors influencing the quality of black land include not only soil quality, ecological quality and environmental quality, but also economic quality and management quality, and can be classified into five categories. There are complex influence relationships between various factors and black land quality, with soil quality, ecological quality, environmental quality and management quality having a positive influence on economic quality. Soil quality, ecological quality and environmental quality are all improved as a result of good management. Black land quality is influenced positively by environmental quality, economic quality and management quality.Research limitations/implicationsThe quality of black land is a major concern in terms of food production and long-term agricultural development. The black land in Northeast China was chosen as the subject of this study, and the research findings have some limitations. The next step will be to expand from studying the black land in Northeast China to the black land worldwide.Originality/valueIn Northeast China, the quality of the five dimensions of black land must be improved in a coordinated and consistent manner.


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