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Crop Calendar Shift as a Climate Change Adaptation Solution for Cassava Cultivation Area of Binh Thuan Province, Vietnam

机译:作物日历转移作为越南宾馆镇木薯栽培区的气候变化适应解决方案

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Background and Objective: Binh Thuan Province is one of the large cassava cultivation areas in Vietnam. However, in recent years the cassava crops are facing the increased risks of irrigation water shortage due to drought and abnormal change of rainfall under the impacts of climate variability (ICV), leading to reduce crop yield. The study was, therefore, conducted to define a suitable period for planting cassava crops in Binh Thuan Province, Vietnam to reduce the negative impacts of weather factors. Materials and Methods: The study was conducted using the AquaCrop model to predict the cassava yield corresponding to different crop calendars to define the suitable planting period. The model performance was appraised through the calibration and validation process with the index of agreement (d), correlation coefficient (r) up to 0.80 and RMSE lower than 0.40. Results: The results carry out that the cassava yield can be reached 48.18 t hasup?/supsup1/sup if the crop calendar (CC) is early shifted from 14-21 days compared with the current crop calendar (CCC) for spring crop while an increase of approximately 5.16% can be achieved if the CC is delayed from 7-14 days for summer crop season. The results stated that the proposed model is suitable for defining the CC based on its simulated biomass and cassava yield. Conclusion: The study indicated that rainfall plays an important role in the planting calendar of cassava crops. Through, it is also confirmed that planting calendars of cassava crops is not appropriate for current weather conditions.
机译:背景和目的:宾馆龙省是越南的大型木薯栽培区之一。然而,近年来,木薯作物面临着由于气候变异性(ICV)的影响而导致降雨的干旱和暴露异常变化导致的灌溉水资源不足的风险增加,导致减少作物产量。因此,该研究进行了定义越南佛源省的种植木薯作物的合适时期,以减少天气因素的负面影响。材料和方法:使用Aquacrop模型进行该研究,以预测与不同作物日历相对应的木薯产量,以确定合适的种植期。通过校准和验证过程评估模型性能,具有协议指数(d),相关系数(r)高达0.80,RMSE低于0.40。结果:结果表明,如果作物日历(CC)从14-21天开始迁移,则可以达到48.18 t ha 1 1 1 。当CC从7-14天延迟夏季作物季节时,春季作物的当前作物日历(CCC)可以实现约5.16%。结果表明,所提出的模型适用于根据其模拟生物质和木薯产量定义CC。结论:该研究表明,降雨在木薯作物的种植日历中起着重要作用。通过,也证实了木薯作物的种植日历不适用于目前的天气条件。

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