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<p>Based on energy source inputs, the modelling and geospatial mappings analysis of the wheat cultivated with resource conservation technology in combine-harvested paddy fields are investigated. The study was conducted in Moga I (B1), Moga II (B2), Kot-Ise-Khan (B3), Nihal Singh Wala (B4), and Bagha Purana (B5) blocks of district Moga, Punjab, India. From each block three farmer fields were selected to carry out the investigation. The Cobb-Douglas production function (CDPF) and the marginal physical productivity (MPP) approach were used in the investigation. Model I included direct and indirect energy, whereas Model II included renewable and non-renewable energies. The share of direct and non-renewable energy was more than that of indirect and renewable energy. Both models had an increasing return to scale, and model I indicates more sensitivity toward indirect energy sources with more MPP value than direct sources. In contrast, model II indicates more sensitivity towards non-renewable energy sources, which have more MPP value than renewable energy. The regression coefficients (<i>R</i><sup>2</sup>) of models I and II were 0.76 and 0.67, respectively. The maximum energy use efficiency, energy efficiency ratio, energy productivity, net energy gain, and minimum specific energy were 6.69, 4.25, 0.289&#xa0;kg MJ<sup>-1</sup>, 105031.7&#xa0;MJ ha<sup>-1</sup>, and 3.45&#xa0;MJ kg<sup>-1</sup>. A geospatial thematic mapping of the energy expenditure and gain was carried out to analyze the energy distribution. The findings of this study are useful for estimating yields, maximizing energy inputs to increase production, besides avoiding straw burning and pollution, lessening greenhouse gas (GHG) emissions and ensuring timely seeding.</p>

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Energy Input–Output Analysis of Wheat Cultivated with Environment Conservation Technology: Modeling and Geospatial Mapping

  • 期刊论文

  • 发表日期：

    2025年12月17日

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  • Ankit Sharma,
  • Amandeep Singh Brar,
  • Snehasish Saha,
  • Mantu Das

摘要

Based on energy source inputs, the modelling and geospatial mappings analysis of the wheat cultivated with resource conservation technology in combine-harvested paddy fields are investigated. The study was conducted in Moga I (B1), Moga II (B2), Kot-Ise-Khan (B3), Nihal Singh Wala (B4), and Bagha Purana (B5) blocks of district Moga, Punjab, India. From each block three farmer fields were selected to carry out the investigation. The Cobb-Douglas production function (CDPF) and the marginal physical productivity (MPP) approach were used in the investigation. Model I included direct and indirect energy, whereas Model II included renewable and non-renewable energies. The share of direct and non-renewable energy was more than that of indirect and renewable energy. Both models had an increasing return to scale, and model I indicates more sensitivity toward indirect energy sources with more MPP value than direct sources. In contrast, model II indicates more sensitivity towards non-renewable energy sources, which have more MPP value than renewable energy. The regression coefficients (R2) of models I and II were 0.76 and 0.67, respectively. The maximum energy use efficiency, energy efficiency ratio, energy productivity, net energy gain, and minimum specific energy were 6.69, 4.25, 0.289 kg MJ-1, 105031.7 MJ ha-1, and 3.45 MJ kg-1. A geospatial thematic mapping of the energy expenditure and gain was carried out to analyze the energy distribution. The findings of this study are useful for estimating yields, maximizing energy inputs to increase production, besides avoiding straw burning and pollution, lessening greenhouse gas (GHG) emissions and ensuring timely seeding.