scholarly journals Long-term incorporation of manure with chemical fertilizers reduced total nitrogen loss in rain-fed cropping systems

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Yinghua Duan ◽  
Minggang Xu ◽  
Suduan Gao ◽  
Hua Liu ◽  
Shaomin Huang ◽  
...  
Keyword(s):  
Total Nitrogen ◽  
Cropping Systems ◽  
Nitrogen Loss ◽  
Chemical Fertilizers ◽  
Total Nitrogen Loss

Driving forces and future trends on total nitrogen loss of planting in China

2020 ◽  
Vol 267 ◽  
pp. 115660
Author(s):  
Liu Liyuan ◽  
Zheng Xiangqun ◽  
Peng Chengfeng ◽  
Li Junyi ◽  
Xu Yan
Keyword(s):  
Total Nitrogen ◽  
Driving Forces ◽  
Nitrogen Loss ◽  
Future Trends ◽  
Total Nitrogen Loss

Slope length effects on processes of total nitrogen loss under simulated rainfall

CATENA ◽  
2016 ◽  
Vol 139 ◽  
pp. 73-81 ◽  
Author(s):  
Weimin Xing ◽  
Peiling Yang ◽  
Shumei Ren ◽  
Chang Ao ◽  
Xu Li ◽  
...  
Keyword(s):  
Total Nitrogen ◽  
Nitrogen Loss ◽  
Simulated Rainfall ◽  
Slope Length ◽  
Total Nitrogen Loss ◽  
Length Effects

scholarly journals KEHILANGAN NITROGEN PADA SISTEM USAHATANI JAGUNG MANIS DI LAHAN GAMBUT KALIMANTAN TENGAH (Nitrogen Lost on Sweet Corn Of Peatland Farming System in Central Kalimantan)

AgriPeat ◽  
2019 ◽  
Vol 19 (01) ◽  
pp. 51-58
Author(s):  
Administrator Journal
Keyword(s):  
Total Nitrogen ◽  
Agricultural Land ◽  
Sweet Corn ◽  
Nitrogen Loss ◽  
Peat Soil ◽  
Farming System ◽  
Chicken Manure ◽  
Cow Dung ◽  
Total Nitrogen Loss ◽  
Npk Fertilizer

ABSTRACTApplication of fertilizer can increase nitrogen loss in agricultural land in the form of leaching andvolatilization. Research carried out on peat soil, done two times planting. First in the dry season totransition with nitrogen input from urea fertilizer, cow dung manure and from rainfall. Both areimplemented in the month of transition to the rainy season with nutrient input from nitrogen derivedfrom pearl NPK fertilizer, chicken manure and rainfall. Nitrogen washing is obtained frompercolation water which is accommodated by lysimeter. The volume of percolation water measuredat plant age 15, 30, 45 HST and at harvest, N content in laboratory analysis. The purpose of thisresearch is to know total nitrogen loss and efficiency level of sweet corn farming system inpeatland. Nitrogen washing in the first study was 2.28 kg N ha-1 or 2.49% and in the second studywas 8.95 kg N ha-1 or 13.65%. The other estimated loss of volatilization in the first study was 12.80Kg N ha-1 or 13.97% and in the second study it was 6.76 Kg N ha-1 or 10.31%. Average lossestimated volatilization of 9.78 kg N ha-1 or 12.45% Total nitrogen loss of 19.60%, so that sweetcorn farming system on peatlands in Kalampangan Urban Palangkaraya is classified as inefficientKeywords: Nitrogen, Sweet Corn, Peat Land

KINEROS2-based simulation of total nitrogen loss on slopes under rainfall events

CATENA ◽  
2019 ◽  
Vol 177 ◽  
pp. 13-21 ◽  
Author(s):  
Miaoying An ◽  
Yuguo Han ◽  
Lei Xu ◽  
Xiuru Wang ◽  
Chang Ao ◽  
...  
Keyword(s):  
Total Nitrogen ◽  
Nitrogen Loss ◽  
Rainfall Events ◽  
Total Nitrogen Loss

scholarly journals Forecasting N2O emission and nitrogen loss from swine manure composting based on BP neural network

2019 ◽  
Vol 277 ◽  
pp. 01010
Author(s):  
Haotian Chen ◽  
Shaoze Sun ◽  
Baoli Zhang
Keyword(s):  
Neural Network ◽  
Greenhouse Gas ◽  
Total Nitrogen ◽  
Bp Neural Network ◽  
Greenhouse Gas Emission ◽  
Nitrogen Loss ◽  
Swine Manure ◽  
Gas Emission ◽  
Total Nitrogen Loss ◽  
The Mean

Nitrogen loss and greenhouse gas emission during compost will cause secondary pollution and waste nutrients. To address this issue, a predictive model was set up to obtain a clear knowledge of the N2O emission and nitrogen loss from swine manure composting. This paper collected 68 group data from 11 published papers about pig manure composting N2O emission and total nitrogen loss. Select 4 indexes were taken as predicted indexes include aeration rate, moisture content, C/N, and the amount of superphosphate to establish a BP neural network for forecasting the N2O emission and total nitrogen loss from composting. The analyses show that the mean error of N2O emission forecasting model is 1.17; the value of MAPE is 138.85%. As for nitrogen loss, the mean error is 24.72 and the mean absolute percentage error is 11.06%. Compare to the traditional linear regression, the BP neural network model has good accuracy on forecasting N2O emission and TN loss from manure composting. BP neural network has considerable application prospect in forecast nitrogen loss and greenhouse gas emission from composting.

scholarly journals Different Effects of Thermophilic Microbiological Inoculation With and Without Biochar on Physicochemical Characteristics and Bacterial Communities in Pig Manure Composting

2021 ◽  
Vol 12 ◽  
Author(s):  
Likun Sun ◽  
Min Long ◽  
Jianshu Li ◽  
Renfei Wu ◽  
Lin Ma ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Total Organic Carbon ◽  
Total Nitrogen ◽  
Bacterial Communities ◽  
Nitrogen Loss ◽  
Physicochemical Characteristics ◽  
Ammonium Nitrogen ◽  
Pig Manure ◽  
Bacterial Phyla ◽  
Total Nitrogen Loss

This study evaluated the effects of thermophilic microbiological inoculation alone (TA) and integrated with biochar (TB) on the physicochemical characteristics and bacterial communities in pig manure (PM) composting with wheat straw. Both TA and TB accelerated the rate of temperature increase during the PM composting. TA significantly reduced total nitrogen loss by 18.03% as opposed to TB which significantly accelerated total organic carbon degradation by 12.21% compared with the control. Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria were the major phyla in composting. Variation of the relative abundance of genera depended on the composting period and treatment. The genera Lactobacillus (26.88–46.71%) and Clostridium_sensu_stricto (9.03–31.69%) occupied a superior position in the temperature rise stage, and Bacillus (30.90–36.19%) was outstanding in the cooling stage. Temperature, total nitrogen (TN), and ammonium nitrogen significantly influenced the bacterial phyla composition. TN, water content, and nitrite nitrogen were the main drivers of the bacterial community genera. Furthermore, our results demonstrated that microbiological consortia were resistant to high temperatures and could fix nitrogen for enriched Pseudomonas; however, when interacted with biochar, total organic carbon (TOC) degradation was accelerated for higher bacterial richness and diversity as well as overrepresented Corynebacterium.

Soil erosion processes and nutrient loss. II. The effect of surface contact cover and erosion processes on enrichment ratio and nitrogen loss in eroded sediment

Soil Research ◽  
1990 ◽  
Vol 28 (4) ◽  
pp. 641 ◽  
Author(s):  
RG Palis ◽  
G Okwach ◽  
CW Rose ◽  
PG Saffigna
Keyword(s):  
Total Nitrogen ◽  
Settling Velocity ◽  
Nitrogen Loss ◽  
Nutrient Loss ◽  
Enrichment Ratio ◽  
Simulated Rainfall ◽  
Erosion Process ◽  
Erosion Processes ◽  
Surface Contact ◽  
Total Nitrogen Loss

Thirty-five erosion experiments, involving four levels of surface contact cover by corn stalks and corn leaves (the latter represented by flat metal sheets) on three slopes, were carried out under simulated rainfall to investigate the effect of fractional surface contact cover and type on the loss and enrichment ratio (ER) of nitrogen in eroded sediment. All experiments were in a tilting flume of the simulated rainfall facility with a sandy clay loam soil. Experiments with rainfall detachment as the only erosion process were conducted on a low slope of 0.1%, to prevent entrainment occurring. The simulated rainfall rate was 100 mm h-1, and sediment samples were collected at the flume exit for up to 40 min. In experiments with entrainment as the only erosion process, clear water was applied as runon at the top of the flume. A stream power of 0 33 W m-2 was used and maintained with entrainment alone and in experiments with rainfall and runon combined for both 3 and 6% slopes. Sediment samples were fractionated through a series of sieves and total nitrogen was analysed for each size range to give the enrichment ratio (ER). The aggregate size or settling velocity characteristics, enrichment ratio (ER), and total nitrogen loss of the eroded sediment varied considerably with slope and cover types for the different erosion experiments. As cover by corn stalks increased, the settling velocity characteristics of eroded sediment became finer; the degree of this fineness was greater than when simulated leaves provided the same cover. For the rainfall detachment alone experiments, values of ER were greater than unity for both cover types and slopes, and greater than values for all other experiments. For the combined rainfall and runon experiments, ER was higher for corn stalks than simulated leaves. For experiments with entrainment alone, values of ER were close to unity for both cover types and slope, even by the early sampling time of 0.6 min. It may be concluded that the effectiveness of cover in reducing nutrient loss lies in reducing sediment loss, not in reducing ER. When rainfall detachment and entrainment were applied together, sediment concentration and total nitrogen loss were substantially increased over the sum of the contribution of rainfall detachment and entrainment acting alone. This finding indicates synergism in nutrient loss between these two erosion processes.

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