Optimized tillage improves yield and energy efficiency while reducing carbon footprint in winter wheat-summer maize rotation systems

Sun, Jingwen; Zhen, Wang; Du, Yadan; Zhang, Erxin; Gan, H. H.; Sun, Dongfa; Niu, Wenquan

doi:10.1016/j.scitotenv.2022.153278

Cited by 23 publications

(10 citation statements)

References 48 publications

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“…At the national level, the average renewable and non-renewable energy usages are estimated as 11.39 GJ ha −1 (19% of total energy) and 48.14 GJ ha −1 (81%), respectively. This suggests that wheat production heavily relies on non-renewable energy in Iran, which is similar to the report by Yuan et al [26] and Sun et al [43] in China. In other words, chemical fertilizers, pesticides, electricity, machinery, and diesel fuel are used too much for wheat production.…”

Section: Energy Indices For Wheat Productionsupporting

confidence: 87%

“…ha −1 , where electricity (55.36%), fossil fuels (29.35%), and nitrogen fertilizer (11.86%) are the major contributors. In contrast, according to Wang et al [44] and Sun et al [43], fertilizers account for the largest share of greenhouse gas emissions from wheat production in China. The calculated GHG emissions in wheat-producing provinces vary between 1162.8 and 3953 kg CO 2 -eq.…”

Section: Carbon Footprint Of Wheat Productionmentioning

confidence: 93%

“…This means that the production of irrigated wheat in Iran is not an energy-efficient process. It is more energy-intensive than wheat cultivation in Bangladesh and China, for instance [38,43]. The NER is 0.95 for the production of irrigated wheat, indicating that the non-renewable energy used in wheat production is greater than the energy output produced.…”

Section: Energy Indices For Wheat Productionmentioning

confidence: 99%

“…The energy productivity indicates that the quantity of wheat produced per unit of energy input is low in all provinces of Iran-with the highest being 0.09 kg/MJ (in Ardabil, East Azerbaijan, and Golestan) and the lowest in Yazd at 0.03 kg MJ −1 . In other words, the quantity of wheat produced in the northern parts of Iran is thrice as much as what is produced in provinces such as Yazd, which combat aridity [43]. It follows that the specific energy (SE), which is the inverse of energy productivity (EP), is the highest in Yazd and the lowest in Ardabil, East Azerbaijan, and Golestan.…”

Section: Energy Indices For Wheat Productionmentioning

confidence: 99%

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A Cluster Analysis on the Energy Use Indicators and Carbon Footprint of Irrigated Wheat Cropping Systems

et al. 2022

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The objective of this study is to analyze the energy use efficiency and carbon footprint of irrigated wheat systems in different Iranian provinces. The authors resort to the k-means clustering technique to fulfil the said objective. The empirical results reveal that the average total input energy (59.5 GJ ha−1) is higher than the average energy output (45.82 GJ ha−1) from wheat production, resulting in an average energy efficiency of 0.77, thus rendering the production of irrigated wheat in Iran energy-inefficient on average. Among the thirty wheat-producing Iranian provinces considered in this analysis, only six—East Azerbaijan, Golestan, Ardabil, Kohgiluyeh and Boyer-Ahmad, Alborz, and West Azerbaijan—register an energy use efficiency greater than unity. The average total of greenhouse gas (GHG) emissions from irrigated wheat is 2243.54 kg CO2-eq ha−1 (with electricity and diesel fuel contributing 52.4% and 29.4%, respectively). The authors categorize the clusters into five groups ranging from sustainable to unsustainable. Five of the six provinces referred to earlier fall into the ‘sustainable’ category, with Bushehr being the sixth. The wheat production units in the ‘sustainable’ category can serve as a benchmark for the clusters in the other categories, which can move up the ladder of sustainability. The authors also recommend measures that policymakers can undertake to ensure the sustainable development of wheat production in Iran, fulfilling the social imperative of food self-sufficiency while truncating the environmental footprint and ensuring economic feasibility.

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Section: Energy Indices For Wheat Productionsupporting

confidence: 87%

Section: Carbon Footprint Of Wheat Productionmentioning

confidence: 93%

Section: Energy Indices For Wheat Productionmentioning

confidence: 99%

Section: Energy Indices For Wheat Productionmentioning

confidence: 99%

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A Cluster Analysis on the Energy Use Indicators and Carbon Footprint of Irrigated Wheat Cropping Systems

et al. 2022

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“…Suitable conditions and appropriate adoption ratio will promote their ecological effects ( Gao et al., 2018 ; Zhang et al., 2020 ; He et al., 2021 ), while mismatched conditions and excessive application will have a negative impact on the environment ( Zhao et al., 2018 ; Wang et al., 2020a ; Min et al., 2021 ; He et al., 2021 ). The application conditions ( Yang et al, 2019 ; CPGPRC, 2007 ; Duan et al, 2022a ; Yin et al, 2016 ; Tian et al, 2019 ; Zhao et al, 2020 ; Wang, 2021 ; Chen et al, 2022 ; Zhuang et al, 2019 ), ecological effects ( CPGPRC, 2007 ; Shao et al, 2016 ; Wang et al, 2015 ; Wang et al, 2020a ; Chen et al, 2020 ; Karayel, 2009 ; Li et al,2015 ; Chaudhary et al, 2021 ; Keshavarz Afshar and Dekamin, 2022 ; Zhang et al, 2022 ; Sun et al, 2018 ; Hu et al, 2022 ; Zhu et al, 2021 ; Zhong et al, 2021 ; Wu et al, 2021 ; Gaihre et al, 2015 ; Miah et al, 2016 ; Man et al, 2014 ; Wang et al, 2020b ; Zhuang et al, 2019 ) and negative impacts ( Baumhardt et al, 2008 ; Ding et al, 2018 ; CPGPRC, 2007 ; Chen et al, 2022 ; Rahim et al, 2021 ; Peixoto et al, 2020 ; Sun et al, 2022 ; Pisante et al, 2014 ; Wang et al, 2021b ; Wang et al, 2021a ; Li et al, 2018 ; Hu et al, 2022 ; Yang et al, 2020 ; Zhao et al, 2021 ; Xia et al, 2022 ; Zhuang et al, 2019 ; Wang et al, 2022 ) of each green technology are shown ...…”

Section: Methodsmentioning

confidence: 99%

Threshold effects of green technology application on sustainable grain production: Evidence from China

Lin

2023

Front. Plant Sci.

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Sustainable production is considered as an important approach to solve the dilemma of food insecurity. Green technologies have made contributions to improving food production and reducing environmental pollution. Studying the effects of green technologies on sustainable food production has great significance. The paper started with the influence mechanism of green technology application on the green total factor productivity of grain (GTFPG). With the GTFPG, green technology efficiency change of grain (GECG) and green technical progress change of grain (GTCG) measured, threshold models were constructed to explore the nonlinear impacts of various green technologies on GTFPG and the influence paths. Results indicated that the differences of GTFPG among provinces in China were decreased mainly due to the changes of GTCG, while the regional differences of GECG remained small. The impacts of green technologies had threshold effects that depended on the ecological effects of green technologies in different application stages, and were significantly different in the major and non-major grain producing areas. Meanwhile, significant differences existed in the influence paths of green technologies. In the major grain producing areas, green technologies were more likely to improve GTFPG through the GTCG path; while in the non-major grain producing areas, the GECG path and the GTCG path were both important to improve GTFPG. The differences of green technologies’ threshold effects and influence paths in the major and non-major grain producing areas were caused by regional technology preference, resource endowment and technology compatibility. This study emphasizes that the development of green technologies should fully consider the resource endowment and economic development of different regions, as well as the applicability and adoption rate of green technologies.

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Sustainable production of bread wheat using laser land levelling and sowing methods as potent regulators of carbon sequestration, fuel consumption and water use in the arid environment of Bahawalpur, Pakistan

Shahid

Saleem

et al. 2023

Irrigation and Drainage

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Excessive use of water in wheat is associated with high fuel consumption and the emission of carbon dioxide into the environment. This study was conducted with the objectives to decrease water use and the associated fuel consumption and carbon dioxide emissions and to improve the productivity of wheat on a sustainable basis using LASER levelling and sowing methods as potent modulators of these adversities. The experiment was conducted in the research area of the Agronomic Research Station Bahawalpur over 3 years using a split‐plot experimental design and four replications. Treatments contained LASER levelling in the main plot (L0 = no LASER levelling, L1 = LASER levelling) and sowing methods in split plots (S1 = broadcast, S2 = ridge sowing and S3 = drill sowing). Less water use, fuel consumption and emission of carbon dioxide were quantified under ‘LASER levelling’ and under ‘ridge sowing’ compared to other treatments. Regarding wheat crop productivity, the same treatment combination (LASER levelling and ridge sowing) resulted in more fertile tillers, grains per spike, 1000‐grain weight and grain yield. Therefore, we concluded that ‘LASER levelling’ and ‘ridge sowing’ have the potential to reduce the cost involved and environmental pollution (by reducing fuel consumption) and improve water use efficiency, grain yield and yield components of wheat compared to other treatments. Moreover, strong negative associations of water use, fuel consumption and carbon dioxide emissions with the grain yield of wheat were recorded.

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Optimized tillage improves yield and energy efficiency while reducing carbon footprint in winter wheat-summer maize rotation systems

Cited by 23 publications

References 48 publications

A Cluster Analysis on the Energy Use Indicators and Carbon Footprint of Irrigated Wheat Cropping Systems

A Cluster Analysis on the Energy Use Indicators and Carbon Footprint of Irrigated Wheat Cropping Systems

Threshold effects of green technology application on sustainable grain production: Evidence from China

Sustainable production of bread wheat using laser land levelling and sowing methods as potent regulators of carbon sequestration, fuel consumption and water use in the arid environment of Bahawalpur, Pakistan

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