Wind erosion and PM10 emission affected by tillage systems in the world's driest rainfed wheat region

Singh, Prabhakar; Sharratt, Brenton; Schillinger, William F.

doi:10.1016/j.still.2012.06.009

Cited by 72 publications

(38 citation statements)

References 28 publications

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“…Reduced or NT and surface applied residues directly reduce erosion by minimizing the time that the soil is bare and exposed to wind, rainfall and runoff. CA and NT can reduce wind erosion due to the larger proportion of dry aggregates, less wind erodible fraction and greater crop residue cover of the soil surface (Singh et al, 2012;Verhulst et al, 2010). CA can also indirectly reduce erosion by water through the effects on soil properties and processes that increase water infiltration and reduce runoff.…”

Section: Soil Physical Properties and Ecosystem Services: Water Infilmentioning

confidence: 99%

Conservation agriculture and ecosystem services: An overview

Palm

Blanco‐Canqui

DeClerck

et al. 2014

Agriculture, Ecosystems & Environment

731

407

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Section: Soil Physical Properties and Ecosystem Services: Water Infilmentioning

confidence: 99%

Conservation agriculture and ecosystem services: An overview

Palm

Blanco‐Canqui

DeClerck

et al. 2014

Agriculture, Ecosystems & Environment

731

407

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“…In the summer-dominate precipitation region of the North American Great Plains, soil conservation practices have enabled crop intensification through fallow replacement (Lafond et al, 1992;Anderson et al, 2003), which has increased opportunities to diversify crops (Halvorson et al, 1999;Zentner et al, 2002b;Tanaka et al, 2005;Roberts and Johnston, 2007), enhance N and water use efficiencies (Pikul et al, 2012). In addition to conserving soil water, the reduction or elimination of tillage is a strategy to combat water and wind erosion (Singh et al, 2012;Williams et al, 2014) in combination with continuous annual cropping (Thorne et al, 2003;Feng et al, 2011). Heterogeneous topography also challenges nutrient management due to significant variability in plant-soil-nutrient interactions and crop performance (Fiez et al, 1994(Fiez et al, , 1995 with opportunities for site specific N fertilizer management to mitigate differences in water and N use efficiencies across the landscape (Miao et al, 2011).…”

mentioning

confidence: 99%

Impact of Climate Change Adaptation Strategies on Winter Wheat and Cropping System Performance across Precipitation Gradients in the Inland Pacific Northwest, USA

Maaz

Schillinger

Machado

et al. 2017

Front. Environ. Sci.

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Ecological instability and low resource use efficiencies are concerns for the long-term productivity of conventional cereal monoculture systems, particularly those threatened by projected climate change. Crop intensification, diversification, reduced tillage, and variable N management are among strategies proposed to mitigate and adapt to climate shifts in the inland Pacific Northwest (iPNW). Our objectives were to assess these strategies across iPNW agroecological zones and time for their impacts on (1) winter wheat (WW) (Triticum aestivum L.) productivity, (2) crop sequence productivity, and (3) N fertilizer use efficiency. Region-wide analysis indicated that WW yields increased with increasing annual precipitation, prior to maximizing at 520 mm yr −1 and subsequently declining when annual precipitation was not adjusted for available soil water holding capacity. While fallow periods were effective at mitigating low nitrogen (N) fertilization efficiencies under low precipitation, efficiencies declined as annual precipitation exceeded 500 mm yr −1 . Variability in the response of WW yields to annual precipitation and N fertilization among locations and within sites supports precision N management implementation across the region. In years receiving <350 mm precipitation yr −1 , WW yields declined when preceded by crops rather than summer fallow. Nevertheless, WW yields were greater when preceded by pulses and oilseeds rather than wheat across a range of yield potentials, and when under conservation tillage practices at low yield potentials. Despite the yield penalty associated with eliminating fallow prior to WW, cropping system level productivity was not affected by intensification, diversification, or conservation tillage. However, increased fertilizer N inputs, lower fertilizer N use efficiencies, and more yield variance may offset and limit the economic feasibility of intensified and diversified cropping systems.

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“…The sediment and PM 10 (particulate matter ≤10 mm in aerodynamic diameter) losses were increased by both the primary spring tillage and sowing operations. The conventional tillage fallow with a tandem disk indicated to have the highest sediment and PM 10 losses, while no-tillage fallow indicated to have the lowest losses (Singh et al, 2012).…”

Section: Introductionmentioning

confidence: 89%

Measurements and modelling of wind erosion rate in different tillage practices using a portable wind erosion tunnel

Çarman

Marakoğlu

Taner

et al. 2016

Zemdirbyste-Agriculture

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Artificial intelligence systems are widely accepted as a technology providing an alternative method to solve complex and ill-defined problems. Artificial neural network (ANN) is a technique with a flexible mathematical structure, which is capable of identifying a complex nonlinear relationship between the input and output data. The objective of this study was to investigate the relationship between dust concentration and wind erosion rate, and to illustrate how ANN might play an important role in the prediction of wind erosion rate. Data were recorded via field experiments by using a portable field wind tunnel. The experiments were carried out for eight different tillage applications that include the conventional, six different reduced tillage and the direct seeding practices. Particulate matter (PM) concentration generally decreased with a decrease in number or intensity of tillage operations. Direct seeding resulted in the lowest PM 10 concentration. After tillage applications, wind erosion rate varied between 113 and 1365 g m -2 h -1 . Results showed that wind erosion rate was lower in direct seeding than in conventional and reduced tillage applications. In this paper, a sophisticated intelligent model, based on a 1-(8-5)-1 ANN model with a back-propagation learning algorithm, was developed to predict the changes in the wind erosion rate due to dust concentration occurring during tillage. In addition, the prediction of the model was made according to traditional methods of wind erosion rate by using the programme Statistica, version 5. The verification of the proposed model was carried out by applying various numerical error criteria. The ANN model consistently provided better predictions compared with the nonlinear regression-based model. The relative error of the predicted values was found to be less than the acceptable limits (10%). Based on the results of this study, ANN appears to be a promising technique for predicting wind erosion rate.

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Wind erosion and PM10 emission affected by tillage systems in the world's driest rainfed wheat region

Cited by 72 publications

References 28 publications

Conservation agriculture and ecosystem services: An overview

Conservation agriculture and ecosystem services: An overview

Impact of Climate Change Adaptation Strategies on Winter Wheat and Cropping System Performance across Precipitation Gradients in the Inland Pacific Northwest, USA

Measurements and modelling of wind erosion rate in different tillage practices using a portable wind erosion tunnel

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