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Effect of variousenergy inputs on Energy requirement for Wheat Production in Agro-Climatic Region (Kamore plateau and Satpura Hill), M.P. India. R.S. Yadav*, N.K.Khandelwal** * M.Tech student and ** Associate Professor,Deptt.of Farm Machinery and Power Engineering, College of Agricultural Engineering, JNKVV, Jabalpur (M.P.) ABSTRACT Energy in agriculture is important in terms of crop production and agro processing for value adding. The energy requirement in various facets of agriculture varies considerably due to variation in the technology level adopted by the farmers and also because of the diverse agro-climatic conditions. The increased use of inputs such as fertilizer, irrigation water, diesel, plant protection chemicals, electricity etc. demands more energy in the form of human, animal and machinery. The aims of this study were to determine direct input energy and indirect energy in Kamore plateau and Satpura HillRegion,which belongs to wheat-rice zone of Madhya Pradesh, to investigate the efficiency of energy consumption. Data were collected from 120 farmer of Agro-Climatic Region by using a face to face questionnaire method. The results revealed that wheat production in year of 2010-11 consumed a total of 14345MJ/ha of which chemical fertilizer, diesel fuel and electric energy consumption was 31.1%, 20.5% and 24.2%, respectively. Direct and Indirect energy were 49.6% and 50.4% respectively. Output Energy was 56595 MJ/ha. Output input energy ratio and specific energy of production and productivity were 3.9, 3.7 MJ/kg and 0.27 kg/mj, respectively. The use of commercial source is too high as compared to non-commercial energy sources. Commercial sources contributed about 93.4 per cent of total energy (14345 MJ/ha).On the basis of linear programming the prediction of energy requirement for different levels of yield reveals that there exist a significant scope to enhance wheat productivity through increased use of input energy through fertilizer and machinery. This is mainly due to the reason that still agricultural farms of Madhya Pradesh are applying 50-75% of recommendation of fertilizer and machinery use. Keyword: Wheat, Energy ratio, Specific Energy, Yield, Productivity. 1. Introduction Energy has an influencing role in the development of key sectors of economic importance such as industry, transport and agriculture. This has motivated many researchers to focus their research onenergy management. Energy has been a key input of agriculture since the age of subsistence agriculture. It is an established fact worldwide that agricultural production is positively correlated withenergy input (Singh, 1999). Agriculture is both a producer and consumer of energy. It uses large quantities of locally available noncommercial energy, such as seed, manure and animate energy, as well as commercial energies, directlyand indirectly, in the form of diesel, electricity, fertilizer, plant protection, chemical, irrigation water, machinery etc. Efficient use of these energies helps to achieve increased production and productivity and contributes to the profitability and competitiveness ofagriculture sustainability in rural living (Singh et al., 2002). Energy use in agriculture has beenincreasing in response to increasing population, limited supply of arable land, and a desire for higherstandards of living (Kizilaslan, 2009). The increased use of inputs such as fertilizer, irrigation water, diesel, plant protection chemicals, electricity etc. demands more energy in the form of human, animal and machinery. The commercial energy used in agriculture increased nearly six fold with growth rate of 11.8% between1980-81 to, but the share of agriculture in total energy consumption in the country increased 2.3 to 5.2% during the same period (Surendra Singh, 2002). About 57% of the Indian population depends upon agriculture. The animate power contributed 92 percent of the total farm power in 1960-61 and mechanical and electrical together contributed only 8 percent. However the contribution of animate power came down to only 19 percent in 1999-(Singh. 2005).A study on energy consumption pattern in transplanted paddy cultivation. They reported that, irrigated farms consumed 57 to 201% more energy mainly through electricity, fertilizer, and diesel as compare to rain fed farms and resulted in to 20.4 to 67.3% higher crop productivity. Operational energy use was 40 to 50% of the total energy usage. Irrigation was the most energy consuming operation in irrigated farms followed by tillage, harvesting, threshing and transplanting. 531 P a g e

Madhya Pradesh is the largest state having geographical area 31 million hectares along with the cropping intensity of 117.5% which is below national average 135% with the net sowing area of 19million hectare. Agriculture contributes 44% to the state economy. Multiple cropping schemes in Madhya Pradesh were possible through the extension of irrigation facility (32% in 2002), and introduction of farm equipment such as tractors, seed drills, multi crop threshers and combine (custom hiring). The tendency of farmers to utilize more energy to get higher productivity resulted in to higher farm power availability, which enhanced from 0.64 kw/ha in 1998 to 1.0 kw/ha in 2005. The aims of this study were to determine direct input energy and indirect energy in Kamore plateau and Satpura Hill Region which belongs to wheat-rice zone of Madhya Pradesh, to investigate the efficiency of energy consumption. 2. Materials and Method Data were collected from 120 farmers of different village of Kamore plateau and Satpura Hill Region of Madhya Pradesh by using a face to face questionnaire in December to April 2010-11. The simple random sampling method was used to determine survey volume (Kizilaslan, 2009). N = In the formula, the below signs and letters represent: n is the required sample size, s is the standard deviation, t is the t value at 95% confidence limit (1.96), N is the number of holding in target population and d is the acceptable error (permissible error 5%).Farmers were randomly selected and contacted with the help of Gram- Pradhan. After collecting preliminary information s related to their inventory, irrigation sources and type of farming system. It was tried that maximum farmers are contacted to have required information in present Performa. The farmers were classified as marginal, small, medium-sized and large farmers on the basis of their land holding as: 1. Marginal farmers (< 1.0 ha) 2. Small farmers (1.0-2.0 ha) 3. Medium farmers (2.0-4.0 ha) 4. Large farmers (> 4.0 ha) The criteria were adopted in conformity with the usual practice as recommended by Mittal and Dhawan (1988). Crop yield: The crop yield was also recorded by interviewing the farmers of the selected villages. Information like harvested crop and threshed crop in terms of weight was recorded in the pre-tested questionnaires. Calculation of Energy Energy from Direct Sources: DE = HLH x 1.96 + BPH x10.10+ FC x 56.31 + EC x 11.93. (1) Where, DE = Direct Energy, (MJ) HLH = Human labor hours used, (h/ha) BP = Bullock pair hours used, (h/ha) FC = Fuel consumption, (l/ha) EC = Electricity consumption, (kwh/ha) Source: Research digest on energy requirement in agriculture sector, CAE, PAU, Ludhiana (1985) Energy from Indirect Sources: IE = (C x WM x HUM x OA) + FYM X 0.3 MJ/kg + S x 14.7 MJ/kg + Ch. x 120 MJ/l x fertilizer (N X 60.0 X P X 11.1 X K x 6.7) (2) Where IE = indirect energy input from machinery, (MJ) C = energy coefficient, (MJ/Kg) WM = Weight of machinery used per hour, (Kg) HUM = hours use of machinery, (h) OA = operational area (ha) FYM = farm Yard Manure, (Kg/ha) S = seed, (Kg/ha) Source: Research digest on energy requirement in agriculture sector, CAE, PAU, Ludhiana (1985) Total energy: TE = DE + IE Where, DE = Direct Energy, MJ IE = Indirect Energy, MJ Based on theenergy equivalents(pansar and bhatnagar, 1987 ) of the inputs and output output input energy ratio, energy productivity, specific and energy net energy gain were calculated (Singh, 2002; Mohammadi et al., 2008; Sartori et al., 2005; Demircan et al., 2006. Availability of power: The inventory of hired (permanent and temporary) and family labour, draught animals (including all animals used for draught purpose carrying out agricultural operations), all power units including mobile (tractors) and stationary (diesel/gasoline engines and electric motors) were taken... (3) 532 P a g e

R.S. Yadav, N.K.Khandelwal / International Journal of Engineering Research and Applications to MS- EXCEL worksheet for further analysis work. The individual farmer-wise following information were used.... (4) Operation wise energy requirement (MJ/ha). Source wise energy use by farmers (MJ/ha). (5) Crop yield (Kg/ha). Energy input through indirect sources. Cropyield: The crop yield was also recorded by interviewing the farmers of the selected villages. Information like harvested crop and threshed crop in terms of weight was recorded in the pretested questionnaires. Computerization of data: The primary data were computerized as per requirement of FORTRAN Programme available with energy requirement scheme. The data of wheat crop and inventory was subsequently pooled for further processing. Processing of computerized data: FORTRAN Program available with energy scheme was used for processing of data. The collected raw data were coded to in required format (MS DOS) and processed by using different programmes to being to in usable tabular form. These processed data in FORTRAN then translated Table 3.1.Operation wise energy use pattern (MJ/ha) for wheat crop. Energy input through direct sources. 3. RESULTS AND DISCUSSIONS Operation wise energy use pattern: Table 3.1 shows that the operation wise energy requirement during 2010-11 varied from 7737-10320 MJ/ha with mean value of 9318 MJ/ha,therewas significant difference in the energy utilization amongst all the category of farmers was observed in performing all the operations for wheat cultivation. Table 3.1 indicates that irrigation was the highest energy consuming operation and consumed (3670 MJ/ha) followed by seedbed preparation (2038MJ/ha), harvesting and threshing (1752 MJ/ha) and transportation (800MJ/ha) for wheat crop production in 2010-11. Field operations MF SF MSF LF Wt.avg. Seedbed Preparation Sowing Irrigation Harvesting Threshing Transportation 1619 992 3229 409 1098 390 2243 1071 4003 522 1119 796 2137 1054 3481 504 1340 979 2156 1114 3968 572 1442 1068 2038 1058 3670 502 1250 800 Total energy (MJ/ha) 7737 9754 9495 10320 9318 The effect of operation wise on wheat can be related by linear equation.relationship between operation wise energy use and yield for wheat cultivation. 3800 3600 3400 3200 2800 2600 2400 2200 y = -0.000x 2 + 1.559x + 439.5 R² = 0.745 Yield (kg/ha) 1000 Seedbed Preparation(MJ/ha) Poly. (Yield (kg/ha) ) Fig.3.1 relation between seedbed preparation energy and yield of wheat crop. 4500 1500 y = 3.327x - 220.6 R² = 0.728 500 700 900 1100 1300 Sowing (MJ/ha) Yield (kg/ha) Fig.3.2 relation between sowing energy and yield of wheat crop. 533 P a g e

Source wise energy use pattern Table 3.2 shows that the total energy input from different source was 14345 MJ/ha. The variation among the total energy input on the different categories of farmers was 13306-15787 MJ/ha. Electricity and diesel contributed 24 percent and 20 percent of total energy in 2010-11. Electricity was used for irrigation and threshing whereas diesel was used mainly for tillage. The energy inflow through electricity was 3477 MJ/ha followed by diesel 2939 MJ/ha. Among the indirect source of energy the fertilizers supplied maximum (4468MJ/ha). Table 3.2 Source wise energy use pattern (MJ/ha) for wheat crop production. Source of energy MF SF MSF LF Wt.Avg. Human Animal Diesel Electric Seeds Fertilizer Machinery 684 25 2593 3158 1997 4232 617 692 15 2631 3282 2113 4582 573 718 0. 2853 3501 2287 4424 618 678 0 3682 3969 2179 4632 647 693 10 2939 3477 2144 4468 614 Total energy (MJ/ha) 13306 13888 14401 15787 14345 Table 3.3 Average energy use pattern and productivity. Parameters (MJ/ha) MF SF MSF LF Wt. Avg. Direct energy Indirect energy Renewable energy Non- renewable energy Commercial energy Non- commercial energy Productivity (kg/mj) Energy ratio 6441 6846 2687 11737 13734 690 0.26 3105 3.43 6612 7268 2812 11068 13151 699 0.28 3864 4.10 7072 7332 3005 11399 13686 718 0.28 4086 4.17 8349 7461 2877 2930 5109 698 0.28 4345 4.04 7118 7227 2845 9283 11420 701 0.27 3850 3.90 534 P a g e

Yield (Kg/ha) R.S. Yadav, N.K.Khandelwal / International Journal of Engineering Research and Applications The effect of source wise on wheat can be related by linear equation.relationship between source wise energy use and yield for wheat cultivation. 4500 1500 y = 0.399x + 1685. R² = 0.622 1500 4500 5500 6500 Diesel Energy (MJ/ha) Yield (kg/ha) Linear (Yield (kg/ha) ) Fig.3.4 relation between diesel energy and yield y = 0.724x - 61.26 R² = 0.830 y = 0.300x - 1661. R² = 0.885 4500 5000 5500 Linear (Yield (kg/ha)) Fertilizer Energy (MJ/ha) Fig.3.6 relation between fertilizer energy and yield of wheat crop. 1 15500 17000 18500 Total Energy (MJ/ha) Linear (Yield (kg/ha)) Fig.3.7 relation between total energy and yield of wheat crop. s CONCLUSION In this study, energy consumption for input and output energies in wheat production was investigated in Kamore plateau and Satpura Hill Region of Madhya Pradesh. Data were collected from 120 farmers which were selected based on random sampling method. Total energy consumption in wheat production was 14345 MJ/ha of which chemical fertilizer, diesel fuel and electric energy consumption was 31.1%, 20.5% and 24.2%, respectively. Direct and Indirect energy were 49.6% and 50.4% respectively. Output Energy was 56595 MJ/ha. Output input energy ratio and specific energy of production and productivity were 3.9, 3.7 MJ/kg and 0.27 kg/mj, respectively. The use of commercial source is too high as compared to non-commercial energy sources. Commercial sources contributed about 97% per cent of total energy (14345 MJ/ha).Nonrenewable energy was 82.1% total input energy that concluded that wheat production needs to improve the efficiency of energy consumption in production and to employ renewable energy. On the basis of linear programming the prediction of energy requirement for different levels of yield reveals that there exist a significant scope to enhance wheat productivity through increased use of input energy through fertilizer and machinery. REFRENCES [1]. Adhoo (1981) energy use pattern for different sizes farms and crops under varying lands of resource inputs in wardha district of Maharastra state. [2]. Canakci, M., Topakci, I., Akinci, A., Ozmerzi, (2005), Energy use pattern of some field crops and vegetable production for Antalya Region, Turkey, Energy Conversion and Management (46): 655 666. [3]. Dhawan, K.C. and Mittal, J.P. 1991.Role of fertilizers in increasing yield of various crops in India.Economic Affairs Calcutta.39 (2): 92-99. 535 P a g e

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