Determination of fuel consumption and indirect factors affecting it in wheat production in Canterbury, New Zealand

Safa, Majeed; Samarasinghe, Sandhya; Mohssen, Magdy A. W.

doi:10.1016/j.energy.2010.07.015

Cited by 41 publications

(19 citation statements)

References 14 publications

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“…Most FCIs increase with smaller field plot sizes but not always. For wheat production in New Zealand, where farms are clearly larger, grain yield are higher, and average tractor power seems comparable, an estimated average of 65.3 L/ha was found with slightly lower (64.9 L/ha) values on irrigated land and slightly higher values (66 L/ha) on dry farm land [27,28]. Fuel consumption data for ploughing (29.6 L/ha) and harvesting (18 L/ha) are very similar to those of Belgium.…”

Section: Comparison With Other Researchmentioning

confidence: 92%

“…Basically, these data are only valid in specific areas or situations (see also Ref. [28]). Similarly, the validity of computation methods that suppose full load of the engine, which is seldom the case in practice [11,22], is also restricted.…”

Section: Comparison With Other Researchmentioning

confidence: 99%

“…In general, ploughing and harvesting of tubers or roots are energy-intensive operations due to working the soil. Especially tillage appears to be the most energyconsuming process in plant cultivation [8,11,25,28,30] and has been studied in detail by Refs. [4,20].…”

Section: Share Of Agricultural Subsectorsmentioning

confidence: 99%

“…Examples are energy studies by Refs. [4,5,10,26,28]; with correction for soil type by Refs. [7,8]; with correction for yield, manure type and quantity, and field distance by Ref.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A fuel consumption model for off-road use of mobile machinery in agriculture

linden¹,

Herman²

2014

Energy

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Section: Comparison With Other Researchmentioning

confidence: 92%

Section: Comparison With Other Researchmentioning

confidence: 99%

Section: Share Of Agricultural Subsectorsmentioning

confidence: 99%

“…Examples are energy studies by Refs. [4,5,10,26,28]; with correction for soil type by Refs. [7,8]; with correction for yield, manure type and quantity, and field distance by Ref.…”

Section: Introductionmentioning

confidence: 99%

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A fuel consumption model for off-road use of mobile machinery in agriculture

linden¹,

Herman²

2014

Energy

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“…Rajabi et al (2013) reported the amount of GHG emissions from nitrogen, phosphorus, and potassium fertilizers to produce wheat in Gorgan as 97, 67, and 64 kg, respectively, equivalent to CO 2 -carbon per ha. Safa et al (2011a) reported that GHG emissions from chemical fertilizers in wheat production in New Zealand were 52% and equal to 539 kg equivalent to CO 2 per ha, of which 48% was related to the nitrogen fertilizers. In all fields studied in this work, the average GHG emissions from the consumption of fuel were 983 kg CO 2 per ha of global warming, of which 678 kg/ha was related to the irrigation, while tillage and spraying operations standing in the next ranks (Fig.…”

Section: Greenhouse Gas Emissionsmentioning

confidence: 99%

Co2 Emission and GWP of Energy Consumption in the Cotton Production in Golestan Province of Iran

Arefi¹

2018

Appl. Ecol. Env. Res.

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Abstract. Careful choosing of appropriate methods in farming operations reduces fuel consumption, energy, and Greenhouse Gas (GHG) emissions in agricultural production. The present study was conducted to investigate the input and output energies and GHG emissions in cotton production in Golestan Province of Iran and the cities of Ali Abad Katool and Aqqala. For this purpose, agricultural operations were randomly selected from 100 farms for the years 2014 and 2015 and the related data on all farms were recorded. Various inputs and comprehensive information at every phase from planting to harvesting were collected, recorded, and processed and then extracted from multiple sources for each equivalence operation during different crop operations for cotton production using a conversion ratio of energy and GHG emissions. Afterward, the energy and GHG emissions for each input and operation were calculated. According to the obtained results, the mean power output was 154 GJ per ha, which is approximately six times of the average input energy (26 GJ/ha). The output and input energies for cotton production were 49 to 243 and 15 to 43 GJ/ha, respectively. Moreover, Global Warming Potential (GWP) of various activities in the cotton fields varied between 741 up to 7790 kg CO 2 equivalent per ha. The maximum GHG emissions were related to fertilizers with manure and fuel ranked in the next orders. The comparison between input energy and GWP revealed their direct relation in cotton production farms. Irrigation, feeding, and preparation operations had the highest fuel consumption and led to an increase in GHG release. Based on these results, it can be concluded that energy consumption and GHG emissions can be reduced by lowering fuel consumption and using chemical fertilizers.

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Conservation Agriculture in Australia and New Zealand

Ward

Siddique

2014

Conservation Agriculture

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Determination of fuel consumption and indirect factors affecting it in wheat production in Canterbury, New Zealand

Cited by 41 publications

References 14 publications

A fuel consumption model for off-road use of mobile machinery in agriculture

A fuel consumption model for off-road use of mobile machinery in agriculture

Co2 Emission and GWP of Energy Consumption in the Cotton Production in Golestan Province of Iran

Conservation Agriculture in Australia and New Zealand

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