印度安得拉邦两区热胁迫对水稻生产影响的空间评价

T. Setiyono, M. Barbieri, P. Prasadini, A. Maunahan, L. Gatti
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引用次数: 3

摘要

生理研究已经提供了水稻热致小穗不育的明确证据,这可能导致显著的产量下降。然而,在农民的田间,特别是在大面积的情况下,很难评估这种产量损失。遥感和作物建模等最先进的技术可以为评估一个空间区域内水稻热致产量损失提供解决方案。遥感技术,特别是合成孔径雷达(SAR),可以提供水稻生长季节开始的空间探测。这些信息与时间序列温度数据相结合,可以吸收到作物模拟模型中,该模型可以对特定地理区域的任何热致产量损失进行全面评估。在本文中,我们展示了如何使用SAR来评估2017年旱季印度安得拉邦两个地区的水稻热胁迫的影响。累积的数据表明,Nellore和West Godavari地区分别有53,623公顷和21,436公顷的稻田因高温胁迫而减产。由于水稻生殖期气温上升趋势明显,耐洛尔地区的水稻产量和产量损失较大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Assessment of Heat Stress Impact on Rice Production in Two Districts of Andhra Pradesh, India
Physiological studies have provided clear evidence of heat-induced spikelet sterility in rice, which can cause significant yield reductions. However, it is rather difficult to evaluate such yield losses in real world situations in farmers’ fields, especially across large areas. State-of-the-art technologies, such as remote sensing and crop modeling, can offer solutions for evaluating the heat-induced yield penalty in rice across a spatial area. Remote-sensing technologies, especially Synthetic Aperture Radar (SAR), can provide spatial detection of the start of the rice-growing season. This information, combined with time-series temperature data, can be assimilated into a crop simulation model, which can provide a thorough assessment of any heat-induced yield penalty over a specific geographic region. In this paper, we demonstrate how SAR can be used to assess the effects of heat stress in rice in two districts of Andhra Pradesh, India, during the 2017 rabi (dry) season. The accumulated data suggest that 53,623 and 21,436 ha of rice fields in Nellore and West Godavari districts, respectively, had yield losses due to heat stress. Rice fields in Nellore suffered higher yield and production losses due to heat stress because of steeper trend of increasing temperatures during the rice plants’ reproductive stage.
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