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Simulation of resource-conserving technologies on productivity, income and greenhouse gas GHG emission in rice-wheat system

机译:稻麦系统生产力,收入和温室气体温室气体排放资源节约技术的模拟。

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The Rice-wheat (RW) cropping system is one of the major agricultural production systems in four Indo-Gangetic Plains (IGP) countries: India, Pakistan, Bangladesh and Nepal of South Asia covering about 32% of the total rice area and 42% of the total wheat area. The excessive utilization of natural resource bases and changing climate are leading to the negative yield trend and plateauing of Rice-wheat (RW) system productivity. The conservation agriculture based efficient and environmental friendly alternative tillage and crop establishment practices have been adopted by the farmers on large scale. A few tools have been evolved to simulate the different tillage and crop establishment. In the present study, InfoRCT (Information on Use of Resource Conserving Technologies), a excel based model integrating biophysical, agronomic, and socioeconomic data to establish input-output relationships related to water, fertilizer, labor, and biocide uses; greenhouse gas (GHG) emissions; biocide residue in soil; and Nitrogen (N) fluxes in the rice-wheat system has been validated for farmer participatory practices. The assessment showed that double no-till system increased the farmer’s income, whereas raised-bed systems decreased it compared with the conventional system. The InfoRCT simulated the yield, water-use, net income and biocide residue fairly well. The model has potential to provide assessments of various cultural practices under different scenarios of soil, climate, and crop management on a regional scale.
机译:稻麦(RW)种植系统是南亚印度,印度,巴基斯坦,孟加拉国和尼泊尔这四个印加恒牙平原(IGP)国家的主要农业生产系统之一,分别占水稻总面积的32%和42%小麦总面积的一半。自然资源基础的过度利用和不断变化的气候导致负产量趋势和稻麦系统生产力停滞。农民已大规模采用基于保护性农业的高效,环保的替代耕作和农作物种植方法。已经开发了一些工具来模拟不同的耕作和作物种植。在本研究中,InfoRCT(资源节约技术的使用信息)是一个基于excel的模型,该模型集成了生物物理,农艺学和社会经济数据,以建立与水,肥料,劳动力和杀生物剂使用有关的投入产出关系;温室气体排放;土壤中的杀菌剂残留;稻麦系统中的氮通量已经过农民参与实践的验证。评估显示,与传统系统相比,双重免耕系统增加了农民的收入,而加高床系统减少了农民的收入。 InfoRCT很好地模拟了产量,用水,净收入和杀生物剂残留。该模型有潜力在区域规模的土壤,气候和作物管理的不同情况下,对各种文化习俗进行评估。

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