scholarly journals Investigation of Input and Output Energy for Wheat Production: A Comprehensive Study for Tehsil Mailsi (Pakistan)

2020 ◽  
Vol 12 (17) ◽  
pp. 6884
Author(s):  
Muhammad N. Ashraf ◽  
Muhammad H. Mahmood ◽  
Muhammad Sultan ◽  
Narges Banaeian ◽  
Muhammad Usman ◽  
...  

The global increasing food demand can be met by efficient energy utilization in mechanized agricultural productions. In this study, input–output energy flow along with CO2 emissions for different wheat production cases (C-I to C-V) were investigated to identify the one that is most energy-efficient and environment-friendly case. Data and information about input and output sources were collected from farmers through questionnaires and face-to-face interviews. Input and output sources were converted into energy units by energy equivalents while CO2 emissions were calculated by emission equivalents. Data envelopment analysis (DEA) was conducted to compare technical efficiencies of the developed cases for optimization of inputs in inefficient cases. Results revealed that case C-Ⅴ (higher inputs, larger fields, the tendency of higher fertilizer application and tillage operations) has the highest energy inputs and outputs than the rest of the cases. Moreover, it possesses the lowest energy use efficiency and energy productivity. The highest CO2 emissions (1548 kg-CO2/ha) referred to C-Ⅴ while lowest emissions per ton of grain yield were determined in C-Ⅳ (higher electricity water pumping, moderate energy input). The grain yield increases directly with input energy in most of the cases, but it does not guarantee the highest values for energy indices. C-Ⅲ (moderate irrigations, educated farmers, various fertilizer applications) was found as an optimum case because of higher energy indices like energy use efficiency of 4.4 and energy productivity of 153.94 kg/GJ. Optimum input and better management practices may enhance energy proficiency and limit the traditionally uncontrolled CO2 emissions from wheat production. Therefore, the agricultural practices performed in C-Ⅲ are recommended for efficient cultivation of wheat in the studied area.

2016 ◽  
Vol 9 (1) ◽  
pp. 118 ◽  
Author(s):  
Khalil Allali ◽  
Boubaker Dhehibi ◽  
Shinan N. Kassam ◽  
Aden Aw-Hassan

<p>Energy use efficiency is a key requirement for sustainability in agricultural production, but often overlooked. The aim of this study was to quantify the amount and efficiency of energy consumed in the production of onions and potatoes in El Hajeb province of Morocco. These estimates are of significant importance in informing contemporary policy discourse related to energy subsidy reform in Morocco, and more specifically within an ongoing national strategy for ‘modernizing’ the agricultural sector under the ‘Green Morocco Plan’. Data were collected through the administration of a direct questionnaire with 60 farmers and analyzed using PLANETE. Our results indicate that total energy consumption in onion production is 107483 MJ ha<sup>-1</sup> with butane (79.5%) as the main source of direct energy. Chemical fertilizers (61.53%) and water for irrigation (30%) were main sources of indirect energy. Energy indices related to energy efficiency ratios, energy profitability and energy productivity were estimated at 0.78, -0.22 and 0.54 kg MJ<sup>-1</sup>, respectively. Total energy consumption in potato production was estimated at 74,270 MJ ha<sup>-1</sup>, with direct energy consumption of 28,521 MJ ha<sup>-1</sup> stemming from butane (70%) and diesel (19.14%) as primary sources. Indirect energy consumption was estimated at 45749 MJ ha<sup>-1</sup> and generated principally through the use of fertilizers (60%). Energy indices (efficiency, profitability and productivity) were estimated at 1.54, 0.54, and 0.45 kg MJ<sup>-1</sup>, respectively. GHG emissions were found to be 3.47 t CO<sub>2eq</sub> ha<sup>-1</sup> in the production of onions and 3.63 t CO<sub>2eq</sub> ha<sup>-1</sup> for potatoes. We find that within the study area, increases in the size of production plots are not necessarily consistent with increases in energy use efficiency.</p>


Author(s):  
Nawal Khamis Al-Mezeini ◽  
Abdulrahim M. Al-Ismaili ◽  
Said M. Tabook

Sustainable agricultural production could be assessed through energy-use efficiency (EUE). Thus, this paper aims to evaluate the EUE for cucumber greenhouse production in Oman. Data were obtained by interviewing farmers (face-to-face). Result indicated that total energy inputs (e.g. electricity, water, fertilizers and agrochemicals) and total energy output (cucumber yield) were 1159726.0 MJ ha-1 and 89942.9 MJ ha-1, respectively. The highest energy consuming input in the greenhouse production was electricity, consuming 88% of total energy input. This indicates that electricity had again the highest impact in cucumber greenhouse production and 99% of electricity goes for cooling the greenhouse. When all energy inputs were classified into its forms; direct (D) and indirect (ID), and renewable (R) and non-renewable (NR), the highest portion of total energy forms in greenhouse cucumber production was for D and NR energy. The EUE and energy productivity (EP) were found to be 0.07 and 0.10 kg MJ-1, respectively. Energy use in greenhouse cucumber production was inefficient and solar energy need to be implemented to improve cucumber greenhouse sustainability production.


2019 ◽  
Vol 17 (2) ◽  
pp. 81-102
Author(s):  
ابوالفضل ناصری ◽  
رامین نیکان فر

2013 ◽  
Vol 50 (3) ◽  
pp. 353-375 ◽  
Author(s):  
ANUP DAS ◽  
D. P. PATEL ◽  
G. C. MUNDA ◽  
G. I. RAMKRUSHNA ◽  
MANOJ KUMAR ◽  
...  

SUMMARYRice is the major staple food crop in the North Eastern Region of India (26.2 million hectare geographical area) and the region has a deficit of 1.40 million tones of rice, mainly due to low productivity (1.72 t ha−1). Field experiments were conducted for the first time to evaluate the new techniques of rice cultivation, viz. the system of rice intensification (SRI) and integrated crop management (ICM) along with conventional rice culture (CRC) for improving productivity, water and energy use efficiency during the rainy seasons of 2004–07 at the ICAR Research Complex for North Eastern Hill Region, Umiam, Meghalaya (950 m msl), India. Three stand establishment methods, viz. SRI, ICM and CRC in main plots, and five nutrient management practices, viz. recommended dose of fertilizers (RDF = 80:26:33 kg NPK ha−1), farmyard manure (FYM) 10 t ha−1, RDF + FYM 5 t ha−1, 50% RDF + FYM 10 t ha−1, and a control (no fertilizer and manure) in sub-plots, were tested in a split-plot design; only few meaningful interactions were found. Results showed a higher number of panicles per square metre under CRC and ICM compared with SRI. However, the number of panicles per hill, grains per panicle and the test weight remained higher in the SRI method. In terms of mean grain yield, ICM (4.86 t ha−1) and SRI (4.72 t ha) produced 12.8 and 9.6%, respectively, higher grain yield over CRC (4.3 t ha−1). Among the nutrient management practices, the application of RDF + FYM 5 t ha−1 (5.0 t ha−1) and 50% RDF + FYM 10 t ha−1 (4.87 t ha−1) not only produced higher grain yield of rice (23.8 and 20.5%, respectively, higher yield over control) but also maintained higher soil available N, P and organic carbon at harvest compared with other nutrient management practices. Photosynthesis rate and water use efficiency were found to be significantly (p < 0.05) higher under SRI, whereas the transpiration rate was higher under CRC. The ICM method recorded maximum net return and energy output to input ratio, which was followed by SRI and CRC. Therefore, the ICM method of rice cultivation would be the preferred option for the sub-tropical mid-hills of eastern Indian Himalayas.


Author(s):  
Dasharath Prasad ◽  
Vijay Prakash ◽  
S.K. Bairwa ◽  
P.S. Chauhan

Background: Early duration pigeonpea genotypes a boon as the crop needs a very little amount of inputs, survives well even under available water conditions because of its Bio-tillage in nature. There are many causes of low productivity of pigeonpea, using long duration genotypes, using convention varieties, non monitored input like sowing date and management practice and short duration genotypes play a very important role in productivity as well as production in Rajasthan. Methods: A two-year field experiment was conducted at the Agricultural Research Station, Sriganganagar Rajasthan, during the Kharif season of the year 2018 and 2019. The experiment is laidout with a split plot design with thrice replication, in the main plot four dates of sowing allotted viz: D1: 25th May, D2: 10th June, D3: 25th June and D4: 10th July and in subplot five genotypes allotted viz: V1: UPAS-120, V2: ASJ-105, V3: Pant- 291, V4: PUSA- 992, V5: ICPL- 88039. Result: Field experiments resulted, the Sowing date D2: 10th June (1451 kg ha-1), is best suitable as compared to others in terms of yields, its attributes and B:C ratio both the years. In the short duration varieties V4: PUSA-992 (1586 kg ha-1) superior to others. In respect of different sowings dates the energy budgeting viz: energy use efficiency varies from D1: 25th May (9.80) and (5.99) to D4: 10th July (8.14) and (4.95), energy productivity (kg MJ-1) varies from D1: 25th May (0.164) and (0.104) to D4: 10th July (0.126) and (0.078) in both the years. In respective of genotypes the higher energy use efficiency found in V4: PUSA-992 (10.34), (6.56), energy productivity in V4: PUSA-992 (0.171 kg MJ-1), (0.111 kg MJ-1) which was superior with others in all aspect in both the years respectively.


2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Donghai Zhou ◽  
Binxia Chen ◽  
Jiahui Li ◽  
Yuanying Jiang

This paper analyzes the time-varying impacts of Chinaʼs economic growth, energy efficiency, and industrial development on carbon dioxide (CO2) emissions from 1970 to 2019. First, we examined and found that there are two significant structural changes in the CO2 sequence over the years, and there was a significant nonlinear relationship among the four. The first nonlinear structural model constructed is the TVP regression model. According to the Bayesian model comparison criterion, TVP-SV-VAR was selected as the second constructed model from four types of VAR models containing nonlinear structures. The results show that the conduction intensity value of energy use efficiency to CO2 emissions has increased year by year, from 0.45 in 1971 to 0.97 in 2019. The short-term transmission mechanism of energy use efficiency to carbon emissions is the most significant. The conduction intensity of Chinaʼs economic growth on CO2 emissions increases year by year. Chinaʼs economic growth plays a major role in long-term CO2 emission reduction. The impact of industrial development on CO2 emissions reached a peak of 0.34 in 1977, and the intensity of the impact has basically stabilized at 0.26.


2014 ◽  
Vol 23 (3) ◽  
pp. 220-235 ◽  
Author(s):  
Timo Kaukoranta ◽  
Juha Näkkilä ◽  
Liisa Särkkä ◽  
Kari Jokinen

Effects of supplemental lighting, semi-closed greenhouse and split-root fertigation on weekly to seasonal heat and electricity use and CO2 emissions in cucumber growing were estimated in Finland. With moderate lighting (170 W m-2 above rows, 60 W m-2 inter-row) in a ventilated greenhouse, seasonal electricity and heat use (MJ kg-1 cucumber) were 20–50 and 10–25, 17–30 and 3–8, 38–55 and 10–18 in spring, summer and autumn to mid-winter, respectively. In summer, a semi-closed greenhouse improved energy use efficiency by 20–30% and split-root fertigation by 0–15%. Raising light intensity and applying inter- row lighting allowed higher yields in autumn to mid-winter without affecting electricity use efficiency. In other seasons, increasing the lighting decreased the efficiency. The emissions largely resulted from electricity use. Direct emissions (kg CO2-eq kg-1) based on propane and electricity from the national grid were 2.5, 1.5 and 3.3 in spring, summer and autumn to mid-winter, respectively. Efficiency of using solar and supplemental PAR was markedly lower in summer than in other seasons. The results provide profile of energy use and emissions and point to ways to reduce them.


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