Simulating the impact of elevated thermal condition on wet-season rice grown in Eastern India by different crop growth models

IF 1.6 4区 农林科学 Q2 AGRONOMY
S. Banerjee, R. Biswas, A. Mukherjee, A. Sattar
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引用次数: 0

Abstract

Elevated thermal condition caused by global warming is a threat to major crops grown in India as well as other Asian and tropical countries, as it negatively affects the crop phenology, growth, dry-matter production and yield. The present research work aims to assess the impact of elevated temperature on rice production using three crop growth simulation models, namely, DSSAT, WOFOST and InfoCrop. Field experimental data-set of rice for seven years was used for model calibration and validation. After validation, three models were used to predict the yield under 1, 2 and30C rise over normal maximum and minimum temperature. The models were also used to assess the thermal impact on leaf area indices (LAI) and crop duration. It was observed that the crop duration was shortened by almost 10 days for 30C enhancement over normal and the LAI was also reduced considerably. The wet-season rice yield may be reduced by 8.7% for 10C, 12.5% for20C and 21.1% for 30C increase of normal temperature. Use of combination of more than one crop models can predict the climate change impact on rice production more reliably.
利用不同作物生长模式模拟高温条件对印度东部旱季水稻生长的影响
全球变暖导致的温度升高对印度以及其他亚洲和热带国家的主要作物构成了威胁,因为它对作物物候、生长、干物质生产和产量产生了负面影响。本研究旨在利用DSSAT、WOFOST和InfoCrop三种作物生长模拟模型,评估温度升高对水稻生产的影响。采用7年水稻田间试验数据集对模型进行校正和验证。验证后,用3个模型分别预测了比正常最高和最低温度升高1℃、2℃和30℃时的产量。该模型还用于评估热对叶面积指数(LAI)和作物生育期的影响。结果表明,增温30℃使作物生育期比正常条件缩短了近10天,LAI也显著降低。常温升高10℃可使旱稻减产8.7%,20℃可减产12.5%,30℃可减产21.1%。使用多种作物模型的组合可以更可靠地预测气候变化对水稻生产的影响。
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来源期刊
CiteScore
2.10
自引率
8.30%
发文量
6
期刊介绍: Among the areas of specific interest of the journal there are: ecophysiology; phenology; plant growth, quality and quantity of production; plant pathology; entomology; welfare conditions of livestocks; soil physics and hydrology; micrometeorology; modeling, simulation and forecasting; remote sensing; territorial planning; geographical information systems and spatialization techniques; instrumentation to measure physical and biological quantities; data validation techniques, agroclimatology; agriculture scientific dissemination; support services for farmers.
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