An Investigation Into the Effect of Dust on Wheat Yield

Q1 Social Sciences
Naisbeh Zarei, Sharafat Ali, M. D. Kakhki, N. S. Froshani, P. R. Moghaddam, M. Sabouni
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引用次数: 0

Abstract

Different regions of Iran are influenced by dust storms since they are located in the arid and semi-arid zone and due to their plain structure, the penetration of different synoptic systems, and adjacency with desert and important dust centers. This research investigates the effect of dust sedimentation on the yield of irrigated and rainfed wheat in four neighbouring provinces and on wheat production in Iran (Khuzestan, Ilam, Kermanshah, and Lorestan). Data are for the crop years from 2011–2012 to 2018–2019. For higher accuracy, the research studies irrigated and rainfed wheat systems separately with the panel model of the Just–Pope function. In the Just–Pope stochastic function, the effects of inputs on two indices of mean yield and yield variance are studied simultaneously. Based on the results, the risk function of irrigated wheat is significantly influenced by the variables of machinery, labour, and dust at the 1% level and by the variables of water and precipitation at the 10% level. The most influential variable in this function is dust (3.03%). In the risk function of rainfed wheat, all variables have a significant impact on production fluctuations at the 1% level. The most influential factor is the temperature (0.86%). Furthermore, the results reveal that the variable of the number of dusty days is significant in the production of irrigated and rainfed wheat at the 15% and 1% levels, respectively. The effect of this variable on rainfed wheat is negative and 0.101%. In this regard, it is necessary to develop dust-specific projects in the agricultural sector and estimate the cost imposed by this phenomenon.
粉尘对小麦产量影响的研究
伊朗的不同地区都受到沙尘暴的影响,因为它们位于干旱和半干旱地区,并且由于其平原结构、不同天气系统的渗透以及与沙漠和重要的沙尘暴中心相邻。本研究调查了灰尘沉降对四个邻近省份(胡齐斯坦、伊拉姆、克尔曼沙和洛雷斯坦)灌溉和降雨小麦产量以及对伊朗小麦生产的影响。数据为2011-2012年至2018-2019年的作物年份。为了获得更高的精度,该研究使用Just–Pope函数的面板模型分别研究灌溉和雨养小麦系统。在Just–Pope随机函数中,同时研究了投入对平均收益率和收益方差两个指标的影响。根据研究结果,灌溉小麦的风险函数在1%的水平上受到机械、劳动力和灰尘变量的显著影响,在10%的水平上受水和降水变量的影响。在该函数中影响最大的变量是灰尘(3.03%)。在雨养小麦的风险函数中,所有变量对1%水平的产量波动都有显著影响。影响最大的因素是温度(0.86%)。此外,结果表明,在灌溉小麦和雨养小麦的生产中,沙尘天数的变化显著,分别为15%和1%。这一变量对雨养小麦的影响为负,为0.101%。在这方面,有必要在农业部门制定专门针对灰尘的项目,并估计这一现象造成的成本。
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来源期刊
Journal of Environmental Assessment Policy and Management
Journal of Environmental Assessment Policy and Management Social Sciences-Geography, Planning and Development
CiteScore
7.00
自引率
0.00%
发文量
18
期刊介绍: The Journal of Environmental Assessment Policy and Management is an interdisciplinary, peer reviewed, international journal covering policy and decision-making relating to environmental assessment (EA) in the broadest sense. Uniquely, its specific aim is to explore the horizontal interactions between assessment and aspects of environmental management (not just the vertical interactions within the broad field of impact assessment) and thereby to identify comprehensive approaches to environmental improvement involving both qualitative and quantitative information. As the concepts associated with sustainable development mature, links between environmental assessment and management systems become all the more essential.
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