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سنجشپايداري توليد گندم آبي در روشکشت رايزبد و روشهاي کشت مرسوم
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- Alternate Title:
Sustainability assessment of raised bed and conventional planters in irrigated wheat.
- Abstract:
Economic benefit, improving energy efficiency and compatibility with environment and water resources are crucial to create sustainability in the wheat production system and provide food security. This study was carried out in a randomized complete block design, comprising a raised bed planter and conventional method of ordinary planter and planter without furrower in four replications, in Pars Abad Moghan Agro-industrial Company, Ardabil province of Iran. Results showed that raised bed wheat cultivation has significantly increased energy use efficiency by up to 95, while reduced greenhouse gas emissions by up to 220 kgCO2 per hectare. In general, conventional tillage and planting methods, in addition to lower yield due to high inputs and water consumption, increase the emission of environmental pollutants. Among the Calculated values of impact sections in all three planting methods, the largest share was related to open freshwater aquatic ecotoxicity, human ecotoxicity, and Marine aquatic ecotoxicity caused by excess fertilizer and chemical inputs. Raised bed planters have significantly increased biological yield and energy use efficiency and decreased environmental impacts. In summary, economic, water consumption, energy and environmental indices were evaluated in three planters. Results of a comparison of environmental impacts, energy efficiency, net profit, harvest index, and water use productivity revealed that the priority of sustainable planters belongs to the raised bed planter, ordinary planter, and planter without furrower, respectively. [ABSTRACT FROM AUTHOR]
- Abstract:
Copyright of Journal of Researches in Mechanics of Agricultural Machinery is the property of Shahrekord University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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