Impact of organic nutrient management practices on yield, quality parameters, energy use efficiency and energy productivity of cotton

2015 ◽  
Vol 16 (1) ◽  
pp. 90
Author(s):  
Rudragouda F. Channagouda
Keyword(s):  
Energy Use ◽  
Management Practices ◽  
Nutrient Management ◽  
Quality Parameters ◽  
Energy Productivity ◽  
Energy Use Efficiency ◽  
Organic Nutrient ◽  
Use Efficiency ◽  
Yield Quality

scholarly journals IMPROVING PRODUCTIVITY, WATER AND ENERGY USE EFFICIENCY IN LOWLAND RICE (ORYZA SATIVA) THROUGH APPROPRIATE ESTABLISHMENT METHODS AND NUTRIENT MANAGEMENT PRACTICES IN THE MID-ALTITUDE OF NORTH-EAST INDIA

2013 ◽  
Vol 50 (3) ◽  
pp. 353-375 ◽  
Author(s):  
ANUP DAS ◽  
D. P. PATEL ◽  
G. C. MUNDA ◽  
G. I. RAMKRUSHNA ◽  
MANOJ KUMAR ◽  
...  
Keyword(s):  
Grain Yield ◽  
Energy Use ◽  
Management Practices ◽  
Nutrient Management ◽  
Rice Cultivation ◽  
Energy Output ◽  
Available N ◽  
Energy Use Efficiency ◽  
North Eastern ◽  
Use Efficiency

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.

scholarly journals Evaluation of Greenhouse Cucumber Production Sustainability in Terms of Energy Use Efficiency

2020 ◽  
Vol 24 ◽  
pp. 24
Author(s):  
Nawal Khamis Al-Mezeini ◽  
Abdulrahim M. Al-Ismaili ◽  
Said M. Tabook
Keyword(s):  
Total Energy ◽  
Energy Use ◽  
Energy Output ◽  
Energy Productivity ◽  
Greenhouse Production ◽  
Energy Use Efficiency ◽  
Energy Inputs ◽  
Energy Consuming ◽  
Greenhouse Cucumber ◽  
Use Efficiency

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.

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 ◽  
...  
Keyword(s):  
Grain Yield ◽  
Co2 Emissions ◽  
Energy Use ◽  
Output Energy ◽  
Energy Productivity ◽  
Energy Use Efficiency ◽  
Wheat Production ◽  
Input And Output ◽  
Energy Indices ◽  
Use Efficiency

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.

scholarly journals Assessment of Energy Budgeting and Its Indicator for Sustainable Nutrient and Weed Management in a Rice-Maize-Green Gram Cropping System

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 166
Author(s):  
Dibakar Ghosh ◽  
Koushik Brahmachari ◽  
Anupam Das ◽  
Mohamed M. Hassan ◽  
Pijush Kanti Mukherjee ◽  
...  
Keyword(s):  
Weed Management ◽  
Production System ◽  
Energy Use ◽  
Nutrient Management ◽  
Farmyard Manure ◽  
Green Gram ◽  
Additional Advantage ◽  
Energy Use Efficiency ◽  
Neem Cake ◽  
Use Efficiency

Sustainability and climate change are the two major challenges to the agricultural production system. The trade-off between them is essential for higher profitability. The energy assessment is essential for judging the sustainability and vulnerability of a production system. Besides, nutrient management and weed management are equally imperative to sustainability. Thus, the present study was executed to assess the energy balance, key energy indicators and profitability of rice–maize–green gram system under different nutrient and weed management practices. Application of Brassicaceous seed meal (BSM) along with mineral fertilizer attributed the highest rice (5.62 t ha−1) and maize (6.48 t ha−1) yield which was 11.6%, 8.3% and 3.7% in maize and 10.0%, 6.2% and 8.7% in rice for the conjoint application with vermicompost, farmyard manure (FYM) and neem cake, respectively. Moreover, BSM recorded the highest net energy gain, energy use efficiency and energy efficiency ratio and the lowest specific energy in all the crops. Application of pre-emergence herbicides followed by hoeing was found to be best in all respects including yield, profitability, energy use efficiency, energy effectiveness, etc. The appropriate combination of integrated nutrient management with BSM and pre-emergence herbicide application followed by hoeing provided an additional advantage not only in terms of yield but also an efficient use of energy, profitability and environmental safety. BSM and neem cake could be the alternative organic manure in the integrated nutrient-cum-weed management module and they could be able to compensate the paucity of FYM and vermicompost in the country.

scholarly journals Nutrient management practices for improved crop and water productivity, grain quality and energy productivity of promising rice cultivars in Eastern Himalayas

2021 ◽  
Vol 42 (2) ◽  
pp. 309-318
Author(s):  
M.N. Harish ◽  
◽  
A.K. Choudhary ◽  
Y.V. Singh ◽  
V. Pooniya ◽  
...  
Keyword(s):  
Grain Quality ◽  
Management Practices ◽  
Rock Phosphate ◽  
Nutrient Management ◽  
Water Productivity ◽  
Integrated Nutrient Management ◽  
Energy Productivity ◽  
Rice Varieties ◽  
Eastern Himalayas ◽  
Use Efficiency

Aim: To assess the influence of nutrient management practices on crop and water productivity, grain quality, energy productivity and profitability in promising rice genotypes of Eastern Himalayas. Methodology: An experiment was conducted at ‘Lowland Research Block’ of ICAR–RC–NEHR, Barapani, Meghalaya to assess the influence of different nutrient management practices [Organic nutrient management (through FYM + remaining P through rock phosphate); integrated nutrient management (INM) (50% NPK through fertilizers + 50% N through FYM + remaining P through rock phosphate); inorganic nutrient management (fertilizers); and absolute control] and rice varieties [Shahsarang–1, Lumpnah and Megha semi-aromatic–2] on productivity, quality, energetic and profitability replicated thrice in a split-plot design. Results: Rice grain yield was significantly higher in INM practice (4.18 t ha-1) followed by inorganic (4.02 t ha-1) and organic practice (3.74 t ha-1). INM practice exhibited highest hulling (68.6%), milling (59.9%), head-rice recovery (53.6%), protein content (7.56%) and protein yield (329 kg ha-1) followed by inorganic, organic practice and control, respectively. However, gross and net returns and B: C ratio were significantly greater in inorganic practice followed by INM practice. Highest TWUE (3.17 kg ha-1 mm-1), water productivity (47.6 INR ha-1 mm-1), energy output (140342 MJ ha-1) as well as net energy (130813 MJ ha-1) were recorded in INM practice. Interpretation: INM practice and rice variety ‘Shahsarang–1’ can be recommended to farmers for enhancing the rice productivity, profitability, resource-use efficiency and soil health in eastern Himalayan region of India. Key words: Energetics, Grain quality, Integrated nutrient management, Rice varieties, Water-use efficiency

scholarly journals Energy and Economic Budgeting of Pigeonpea Genotypes (Cajanus cajan L.) at Various Sowing Dates

2021 ◽  
Author(s):  
Dasharath Prasad ◽  
Vijay Prakash ◽  
S.K. Bairwa ◽  
P.S. Chauhan
Keyword(s):  
Short Duration ◽  
Energy Use ◽  
Field Experiments ◽  
Agricultural Research ◽  
Management Practice ◽  
Sowing Date ◽  
Research Station ◽  
Energy Productivity ◽  
Energy Use Efficiency ◽  
Use Efficiency

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.

Energy Use Efficiency of Conventional versus Conservation Management Practices for Irrigated Potato Production in Southern Alberta

2016 ◽  
Vol 94 (2) ◽  
pp. 105-119 ◽  
Author(s):  
Mohammad Khakbazan ◽  
Francis J. Larney ◽  
Jianzhong Huang ◽  
Ramona Mohr ◽  
Drusilla C. Pearson ◽  
...  
Keyword(s):  
Energy Use ◽  
Management Practices ◽  
Conservation Management ◽  
Potato Production ◽  
Energy Use Efficiency ◽  
Southern Alberta ◽  
Use Efficiency
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