The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Hassan Etesami - One of the best experts on this subject based on the ideXlab platform.
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vermicompost enriched with phosphate solubilizing bacteria provides plant with enough phosphorus in a Sequential Cropping under calcareous soil conditions
Journal of Cleaner Production, 2019Co-Authors: Faezeh Parastesh, Hossein Ali Alikhani, Hassan EtesamiAbstract:Abstract Aim of this study was to determine the direct and residual effects of the vermicompost enriched with the various phosphate–solubilizing bacteria (PSB) on improvement of phosphorus (P) uptake by tomato and wheat plant and consequently the growth of these plants on a low P calcareous soil in a Sequential Cropping under greenhouse conditions. The vermicompost enriched with effective PSB significantly increased the shoot P concentration of tomato plant (26–53%) and wheat plant (20–39%) treated with the vermicompost to an adequate level (>0.30%) in the range of P–fertilized plants by decreasing soil pH (0.4–0.6 units decrease in pH) and increasing soil available P, soil respiration rate, and activity of soil dehydrogenase and alkaline phosphatase. The PSB used in enriching the vermicompost had different effects on the measured parameters. Our findings highlight the importance of vermicompost enriched with effective PSB as a natural fertilizer in calcareous soils for vegetable and cereals cultivation, which can supply enough P for maintaining sustainable production without additional P inputs. The information on the availability of P following PSB enriched–vermicompost addition to soil may help in better management of P–fertilization in calcareous soils.
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Vermicompost enriched with phosphate–solubilizing bacteria provides plant with enough phosphorus in a Sequential Cropping under calcareous soil conditions
Journal of Cleaner Production, 2019Co-Authors: Faezeh Parastesh, Hossein Ali Alikhani, Hassan EtesamiAbstract:Abstract Aim of this study was to determine the direct and residual effects of the vermicompost enriched with the various phosphate–solubilizing bacteria (PSB) on improvement of phosphorus (P) uptake by tomato and wheat plant and consequently the growth of these plants on a low P calcareous soil in a Sequential Cropping under greenhouse conditions. The vermicompost enriched with effective PSB significantly increased the shoot P concentration of tomato plant (26–53%) and wheat plant (20–39%) treated with the vermicompost to an adequate level (>0.30%) in the range of P–fertilized plants by decreasing soil pH (0.4–0.6 units decrease in pH) and increasing soil available P, soil respiration rate, and activity of soil dehydrogenase and alkaline phosphatase. The PSB used in enriching the vermicompost had different effects on the measured parameters. Our findings highlight the importance of vermicompost enriched with effective PSB as a natural fertilizer in calcareous soils for vegetable and cereals cultivation, which can supply enough P for maintaining sustainable production without additional P inputs. The information on the availability of P following PSB enriched–vermicompost addition to soil may help in better management of P–fertilization in calcareous soils.
Camilla Mathison - One of the best experts on this subject based on the ideXlab platform.
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Developing a Sequential Cropping capability in the JULESvn5.2 land–surface model
Geoscientific Model Development Discussions, 2019Co-Authors: Camilla Mathison, Andrew J. Challinor, Chetan Deva, Pete Falloon, Sébastien Garrigues, Sophie Moulin, Karina Williams, Andy WiltshireAbstract:Abstract. Sequential Cropping (also known as multiple or double Cropping) is a common feature, particularly for tropical regions, where the crop seasons are largely dictated by the main wet season such as the Asian summer monsoon (ASM). The ASM provides the water resources for crops grown for the whole year, thereby influencing crop production outside the ASM period. Land surface models (LSMs) typically simulate a single crop per year, however, in order to understand how Sequential Cropping influences demand for resources, we need to simulate all of the crops grown within a year in a seamless way. In this paper we implement Sequential Cropping in a branch of the Joint UK Land Environment Simulator (JULES) and demonstrate its use at Avignon, a site that uses the Sequential Cropping system and provides over 15-years of continuous flux observations which we use to evaluate JULES with Sequential Cropping. In order to implement the method in future regional simulations where there may be large variations in growing conditions, we apply the same method to four locations in the North Indian states of Uttar Pradesh and Bihar to simulate the rice--wheat rotation and compare model yields to observations at these locations. JULES is able to simulate Sequential Cropping at Avignon and the four India locations, representing both crops within one growing season in each of the crop rotations presented. At Avignon the maxima of LAI, above ground biomass and canopy height occur at approximately the correct time for both crops. The magnitudes of biomass, especially for winter wheat, are underestimated and the leaf area index is overestimated. The JULES fluxes are a good fit to observations (r-values greater than 0.7), either using grasses to represent crops or the crop model, implying that both approaches represent the surface coverage correctly. For the India simulations, JULES successfully reproduces observed yields for the eastern locations, however yields are under estimated for the western locations. This development is a step forward in the ability of JULES to simulate crops in tropical regions, where this Cropping system is already prevalent, while also providing the opportunity to assess the potential for other regions to implement it as an adaptation to climate change.
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developing a Sequential Cropping capability in the julesvn5 2 land surface model
Geoscientific Model Development Discussions, 2019Co-Authors: Camilla Mathison, Andrew J. Challinor, Chetan Deva, Pete Falloon, Sébastien Garrigues, Sophie Moulin, Karina Williams, Andy WiltshireAbstract:Abstract. Sequential Cropping (also known as multiple or double Cropping) is a common feature, particularly for tropical regions, where the crop seasons are largely dictated by the main wet season such as the Asian summer monsoon (ASM). The ASM provides the water resources for crops grown for the whole year, thereby influencing crop production outside the ASM period. Land surface models (LSMs) typically simulate a single crop per year, however, in order to understand how Sequential Cropping influences demand for resources, we need to simulate all of the crops grown within a year in a seamless way. In this paper we implement Sequential Cropping in a branch of the Joint UK Land Environment Simulator (JULES) and demonstrate its use at Avignon, a site that uses the Sequential Cropping system and provides over 15-years of continuous flux observations which we use to evaluate JULES with Sequential Cropping. In order to implement the method in future regional simulations where there may be large variations in growing conditions, we apply the same method to four locations in the North Indian states of Uttar Pradesh and Bihar to simulate the rice--wheat rotation and compare model yields to observations at these locations. JULES is able to simulate Sequential Cropping at Avignon and the four India locations, representing both crops within one growing season in each of the crop rotations presented. At Avignon the maxima of LAI, above ground biomass and canopy height occur at approximately the correct time for both crops. The magnitudes of biomass, especially for winter wheat, are underestimated and the leaf area index is overestimated. The JULES fluxes are a good fit to observations (r-values greater than 0.7), either using grasses to represent crops or the crop model, implying that both approaches represent the surface coverage correctly. For the India simulations, JULES successfully reproduces observed yields for the eastern locations, however yields are under estimated for the western locations. This development is a step forward in the ability of JULES to simulate crops in tropical regions, where this Cropping system is already prevalent, while also providing the opportunity to assess the potential for other regions to implement it as an adaptation to climate change.
Andy Wiltshire - One of the best experts on this subject based on the ideXlab platform.
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Developing a Sequential Cropping capability in the JULESvn5.2 land–surface model
Geoscientific Model Development Discussions, 2019Co-Authors: Camilla Mathison, Andrew J. Challinor, Chetan Deva, Pete Falloon, Sébastien Garrigues, Sophie Moulin, Karina Williams, Andy WiltshireAbstract:Abstract. Sequential Cropping (also known as multiple or double Cropping) is a common feature, particularly for tropical regions, where the crop seasons are largely dictated by the main wet season such as the Asian summer monsoon (ASM). The ASM provides the water resources for crops grown for the whole year, thereby influencing crop production outside the ASM period. Land surface models (LSMs) typically simulate a single crop per year, however, in order to understand how Sequential Cropping influences demand for resources, we need to simulate all of the crops grown within a year in a seamless way. In this paper we implement Sequential Cropping in a branch of the Joint UK Land Environment Simulator (JULES) and demonstrate its use at Avignon, a site that uses the Sequential Cropping system and provides over 15-years of continuous flux observations which we use to evaluate JULES with Sequential Cropping. In order to implement the method in future regional simulations where there may be large variations in growing conditions, we apply the same method to four locations in the North Indian states of Uttar Pradesh and Bihar to simulate the rice--wheat rotation and compare model yields to observations at these locations. JULES is able to simulate Sequential Cropping at Avignon and the four India locations, representing both crops within one growing season in each of the crop rotations presented. At Avignon the maxima of LAI, above ground biomass and canopy height occur at approximately the correct time for both crops. The magnitudes of biomass, especially for winter wheat, are underestimated and the leaf area index is overestimated. The JULES fluxes are a good fit to observations (r-values greater than 0.7), either using grasses to represent crops or the crop model, implying that both approaches represent the surface coverage correctly. For the India simulations, JULES successfully reproduces observed yields for the eastern locations, however yields are under estimated for the western locations. This development is a step forward in the ability of JULES to simulate crops in tropical regions, where this Cropping system is already prevalent, while also providing the opportunity to assess the potential for other regions to implement it as an adaptation to climate change.
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developing a Sequential Cropping capability in the julesvn5 2 land surface model
Geoscientific Model Development Discussions, 2019Co-Authors: Camilla Mathison, Andrew J. Challinor, Chetan Deva, Pete Falloon, Sébastien Garrigues, Sophie Moulin, Karina Williams, Andy WiltshireAbstract:Abstract. Sequential Cropping (also known as multiple or double Cropping) is a common feature, particularly for tropical regions, where the crop seasons are largely dictated by the main wet season such as the Asian summer monsoon (ASM). The ASM provides the water resources for crops grown for the whole year, thereby influencing crop production outside the ASM period. Land surface models (LSMs) typically simulate a single crop per year, however, in order to understand how Sequential Cropping influences demand for resources, we need to simulate all of the crops grown within a year in a seamless way. In this paper we implement Sequential Cropping in a branch of the Joint UK Land Environment Simulator (JULES) and demonstrate its use at Avignon, a site that uses the Sequential Cropping system and provides over 15-years of continuous flux observations which we use to evaluate JULES with Sequential Cropping. In order to implement the method in future regional simulations where there may be large variations in growing conditions, we apply the same method to four locations in the North Indian states of Uttar Pradesh and Bihar to simulate the rice--wheat rotation and compare model yields to observations at these locations. JULES is able to simulate Sequential Cropping at Avignon and the four India locations, representing both crops within one growing season in each of the crop rotations presented. At Avignon the maxima of LAI, above ground biomass and canopy height occur at approximately the correct time for both crops. The magnitudes of biomass, especially for winter wheat, are underestimated and the leaf area index is overestimated. The JULES fluxes are a good fit to observations (r-values greater than 0.7), either using grasses to represent crops or the crop model, implying that both approaches represent the surface coverage correctly. For the India simulations, JULES successfully reproduces observed yields for the eastern locations, however yields are under estimated for the western locations. This development is a step forward in the ability of JULES to simulate crops in tropical regions, where this Cropping system is already prevalent, while also providing the opportunity to assess the potential for other regions to implement it as an adaptation to climate change.
Faezeh Parastesh - One of the best experts on this subject based on the ideXlab platform.
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vermicompost enriched with phosphate solubilizing bacteria provides plant with enough phosphorus in a Sequential Cropping under calcareous soil conditions
Journal of Cleaner Production, 2019Co-Authors: Faezeh Parastesh, Hossein Ali Alikhani, Hassan EtesamiAbstract:Abstract Aim of this study was to determine the direct and residual effects of the vermicompost enriched with the various phosphate–solubilizing bacteria (PSB) on improvement of phosphorus (P) uptake by tomato and wheat plant and consequently the growth of these plants on a low P calcareous soil in a Sequential Cropping under greenhouse conditions. The vermicompost enriched with effective PSB significantly increased the shoot P concentration of tomato plant (26–53%) and wheat plant (20–39%) treated with the vermicompost to an adequate level (>0.30%) in the range of P–fertilized plants by decreasing soil pH (0.4–0.6 units decrease in pH) and increasing soil available P, soil respiration rate, and activity of soil dehydrogenase and alkaline phosphatase. The PSB used in enriching the vermicompost had different effects on the measured parameters. Our findings highlight the importance of vermicompost enriched with effective PSB as a natural fertilizer in calcareous soils for vegetable and cereals cultivation, which can supply enough P for maintaining sustainable production without additional P inputs. The information on the availability of P following PSB enriched–vermicompost addition to soil may help in better management of P–fertilization in calcareous soils.
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Vermicompost enriched with phosphate–solubilizing bacteria provides plant with enough phosphorus in a Sequential Cropping under calcareous soil conditions
Journal of Cleaner Production, 2019Co-Authors: Faezeh Parastesh, Hossein Ali Alikhani, Hassan EtesamiAbstract:Abstract Aim of this study was to determine the direct and residual effects of the vermicompost enriched with the various phosphate–solubilizing bacteria (PSB) on improvement of phosphorus (P) uptake by tomato and wheat plant and consequently the growth of these plants on a low P calcareous soil in a Sequential Cropping under greenhouse conditions. The vermicompost enriched with effective PSB significantly increased the shoot P concentration of tomato plant (26–53%) and wheat plant (20–39%) treated with the vermicompost to an adequate level (>0.30%) in the range of P–fertilized plants by decreasing soil pH (0.4–0.6 units decrease in pH) and increasing soil available P, soil respiration rate, and activity of soil dehydrogenase and alkaline phosphatase. The PSB used in enriching the vermicompost had different effects on the measured parameters. Our findings highlight the importance of vermicompost enriched with effective PSB as a natural fertilizer in calcareous soils for vegetable and cereals cultivation, which can supply enough P for maintaining sustainable production without additional P inputs. The information on the availability of P following PSB enriched–vermicompost addition to soil may help in better management of P–fertilization in calcareous soils.
Axel Garcia Y Garcia - One of the best experts on this subject based on the ideXlab platform.
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relay and Sequential Cropping corn with winter oilseed crops in northern climates
Nutrient Cycling in Agroecosystems, 2020Co-Authors: Scott M Wells, Axel Garcia Y GarciaAbstract:Winter oilseed crops camelina [Camelina sativa (L.) Crantz] and field pennycress (Thlaspi arvense L.) are potential candidates for diversifying the corn–soybean rotation in the upper Midwest U.S.; however, little is known about their performance in double Cropping with corn. A 2-year study of relay- and Sequential-Cropping corn with winter camelina and field pennycress was conducted to evaluate such a strategy. Cropping systems did not affect the biomass and grain yield of winter oilseed crops. Overall, biomass, N uptake, and grain yield of winter camelina were, respectively, 3.1, 2.5, and 2.3 fold higher than field pennycress. Over the 2-year study, grain yield of corn in relay was decreased by 18.5% compared to its control; corresponding to 18 and 19% reduction when relayed with winter camelina and field pennycress, respectively. Relative to mono-crop, total grain yield (corn + oilseed crop) and net income of corn in relay with winter camelina decreased 12.9 and 22.9%, respectively, while total grain yield and net income of corn in relay with field pennycress decreased 16.7 and 40.1%, respectively. Over the 2-year study, grain yield of Sequential corn increased 13.9% compared to its control; corresponding to 16 and 12% increase following winter camelina and field pennycress, respectively. Sequential Cropping maintained or increased total grain yield and net income compared to its control. Our results support winter oilseed crops as candidates to diversify the corn–soybean rotation in northern climates; however, the development of technologies aiming at maximizing grain yield and economic value in double Cropping is needed.
