N2O emissions in a long-term soil fertility experiment under maize–wheat cropping system in Northern India

Dhadli, H. S.; Brar, B. S.; Black, T. Andrew

doi:10.1016/j.geodrs.2016.02.003

Cited by 14 publications

(11 citation statements)

References 39 publications

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“…Such an outcome is mainly driven by high precipitation and high soil temperature, which is in agreement with Dhadli et al. (2016). These results suggest that soil N 2 O emissions from long‐term gravel mulching treatments should be one of the concerns.…”

Section: Discussionsupporting

confidence: 92%

“…The measurement of soil CO 2 emissions cannot provide a reliable estimate of the GHG effects. Thus, many studies have to calculate the net exchange of CO 2 equivalents of CH 4 and N 2 O as a modified net GWP (Dhadli et al., 2016; Meijide et al., 2017). Recent studies have suggested a decrease in the GWP under straw and plastic film mulching (Chen et al., 2017; Ma et al., 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Soils planted with crops emit GHGs throughout their production cycle, and the intensity of these emissions can be estimated by the GWP and the mean C footprint (CF) (Hwang et al., 2017). Many studies have calculated the net exchange of the CO 2 equivalents of CH 4 and N 2 O as a modified net GWP (Dhadli, Brar, & Black, 2016; Dubey & Lal., 2009; Liu et al., 2016). The CO 2 ‐C equivalent (CO 2 ‐C e ) emissions of crop production can be evaluated by estimating the GWP per ton of crop yield, referred to as the GHG intensity (GHGI).…”

Section: Introductionmentioning

confidence: 99%

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Greenhouse gas emissions and carbon footprint under gravel mulching on China's Loess Plateau

Wang

Zhang

et al. 2020

Agronomy Journal

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Gravel mulching technology has been widely verified as an effective solution to reduce evaporation and improve crop production on China's Loess Plateau, but its impacts on greenhouse gas (GHG) emissions have not been well documented. This study examined the quantification of the overall GHG emissions via estimating global warming potential (GWP), GHG intensity (GHGI), C footprint (CF), and C intensity (CI) with varying experimental treatments. A 2-yr consecutive wheat-maize rotation field experiment was conducted through monitoring GHG emissions using a closedchamber method with four treatments: CK (control with no mulching), WCK (CK plus 50 mm irrigation), GM (CK plus gravel mulching), and WGM (WCK plus GM).Compared with the CK, gravel mulching significantly decreased soil CO 2 emissions and increased soil CH 4 uptake over both cycles, although patterns of soil N 2 O emissions were controversial. Mixed effects of gravel mulching and irrigation significantly minimized the GWP over both cycles. Compared with the CK, annual GHGI in the WCK, GM, and WGM treatments dramatically decreased by 35.1, 53.7, and 55.9%, respectively, over Cycle 1 and by 16.7, 19.6, and 37.2%, respectively, over Cycle 2. The average CFs in the WCK, GM, and WGM treatments over both cycles were 4.4, 35.0, and 58.7% lower than in the CK, respectively. Gravel mulching had no significant effect on the CI during Cycle 1 but did have a significant effect during Cycle 2. Thus, gravel mulching is a recommended practice to mitigate GHG emissions and enhance the crop productivity on the Loess Plateau of China.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Greenhouse gas emissions and carbon footprint under gravel mulching on China's Loess Plateau

Wang

Zhang

et al. 2020

Agronomy Journal

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“…A part of urea is emitted to the air in gas form (NH 3 ), and the other parts are transformed into nitrate by nitrification bacteria (Wessen et al 2010). The improper use of urea results in many problems (Ye et al 2004), such as eutrophication of surface water (Glibert et al 2001), gaseous loss (Shan et al 2015), denitrification loss (Dhadli et al 2016), and nitrogen leaching. Thus, research on the mechanism of nitrogen transformation is highly significant.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the relative importance of soil moisture, nitrogen, and temperature on the urea hydrolysis rate

Tao

Sun

Guo

et al. 2017

Soil Science and Plant Nutrition

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Urea hydrolysis is a complicated process influenced by multiple factors. Most previous studies only examined the causative factors of the process without ranking these factors' relative importance quantitatively. In this work, the experimental analysis method, ANOVA method, and backpropagation (BP) neural network method were used to rank the effects of moisture content (W), nitrogen amount (F), and temperature (T) on the urea hydrolysis rate. A group of 22 artificial neural network structures with different numbers of neurons in the hidden layer (2 ≤ L ≤ 12), different initial connection weights, and different learning algorithms was trained and validated using the data set. The relative importance of the factors that affect urea hydrolysis was studied on the basis of information on the weight and threshold value. Results showed that the individual factors and the interaction between any two factors exerted an extremely significant effect (p < 0.01) on the hydrolysis rate, except for the interaction among the three factors. The ANOVA method achieved the importance ranking of T > for the hydrolysis rate. The incremental backpropagation-BP-K model with the topological structure of 3-6-1 expressed the relationship between the input variables and the output variable accurately. All of the methods indicated that the degree of influence of the factors on urea hydrolysis followed the descending order of T > F > W. Temperature was the key factor in the hydrolytic process. The results of the importance analysis of the three methods were consistent. ARTICLE HISTORY

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“…Generally, SOM is more with higher annual precipitation, lower annual temperature, higher clay content, and native vegetation compared to cultivated management, and conservation compared with plough tillage system (Chan et al, 2002;Sharma et al, 2013). In the African savannahs, farmers practiced shifting cultivation with a few years of cultivation followed by a longer fallow period to sustain soil fertility (Ruthenberg, 1971;Dhadli et al, 2016). Fallow affected production and ecological functions leading to improved nutrient availability and biodiversity (De Wolf et al, 2000;Liu et al, 2013).…”

mentioning

confidence: 99%

Cropping System Effects on Soil Monosaccharides in Western Burkina Faso

Ouattara

Sermé²,

Ouattara³

et al. 2017

JAS

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Labile pools of soil organic matter (SOM), including soil sugars, are important to the formation and stabilization of soil aggregates and to microbial activity and nutrient cycling. The effects of cropping systems at farm level in tropical areas on SOM labile pool dynamics have not been adequately studied and the results are sparse and inconsistent. The objective of this study was to determine the effects of soil management intensity on soil sugar monomers derived from plant debris or microbial activity in cotton (Gossypium herbaceum)-based cropping systems of western Burkina Faso. Thirty-three (33) plots were sampled at 0-15 cm soil depth considering field-fallow successions and tillage intensity. Two pentose (arabinose, xylose) and four hexose (glucose, galactose, mannose, glucosamine) monomers accounted for 2 to 18% of soil organic carbon (SOC) content. Total sugar content was significantly less with tillage, especially for the hexose monomeric sugars glucose and mannose, the latter of microbial origin. Soil mannose was 63 and 80% less after 10 years of cultivation, without and with annual ploughing respectively, compared with fallow conditions. Soil monosaccharide content was rapidly restored with fallow and soon approached the equilibrium level observed under old fallow lands. Therefore, the soil monosaccharides, in particular galactose and mannose from microbial synthesis are early indicators of changes in SOC.

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N2O emissions in a long-term soil fertility experiment under maize–wheat cropping system in Northern India

Cited by 14 publications

References 39 publications

Greenhouse gas emissions and carbon footprint under gravel mulching on China's Loess Plateau

Greenhouse gas emissions and carbon footprint under gravel mulching on China's Loess Plateau

Quantifying the relative importance of soil moisture, nitrogen, and temperature on the urea hydrolysis rate

Cropping System Effects on Soil Monosaccharides in Western Burkina Faso

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