Titlebook: Global Agricultural Production: Resilience to Climate Change; Mukhtar Ahmed Book 2022 The Editor(s) (if applicable) and The Author(s), und

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A Multiregional Economic Comparison,ty firm data is needed to assess the damages on food security to suggest appropriate adaptive measures. This chapter gives an overview about the climate change, agricultural productivity, and food security. It firstly provides detailed information about agricultural sector contributions to the clima

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reducing soil organic carbon, which is the blood of the soil. Furthermore, rise in temperature is causing changes in soil moisture. In addition, elevated concentration of carbon dioxide (CO.) could cause higher activity of soil microbes, thus breaking SOM at a faster rate and releasing more CO.. Si

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https://doi.org/10.1007/978-1-349-00336-5e grown on large scale in the arid and semi-arid tropics. Grain legumes provide great services to the ecosystem by fixing atmospheric nitrogen (N) through bacteria in root nodules, a process called biological N fixation (N-fixing symbiosis). Hence, legume can help to minimize emissions of greenhouse

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How the SELF Controls Its BRAIN to global climate change. Rice being the second largest cultivated food crop around the world is also a leading anthropogenic source of GHG emissions from agriculture sector. It accounts for 18% CH. and 11% N.O emissions of the total agricultural GHG additions. In the face of rising population, ric

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Categories of Exchange Differencesute, flax, agave, sisal, manila fiber, and ramie are being grown on 34.2?million?hectares with the annual production of 29.5?million?tonnes. The cotton is the leading fiber crop which shares more than 90% area and 80% production across the world. Despite the importance of the other fiber crops, most

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https://doi.org/10.1007/978-1-349-13355-0ing mission. With modern climate-resilient cultivars and optimized management practices, agronomists are trying to provide solutions to optimize the demand and supply balance in the food system. Crop simulation models play a vital role in assessing cultivar’s performances with extrapolated condition

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