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印度贾坎德邦吉里迪赫地区采用地统计学方法的空间分布及风险区域评估

Spatial distribution and risk area assessment of using geostatistical approaches in Giridih district of Jharkhand, India.

作者信息

Mondal Sandip, Khan Matiyar Rahaman, Mukherjee Abhishek

机构信息

Indian Statistical Institute, Giridih, Jharkhand, 815301, India.

Indian Agricultural Research Institute, Pusa, New Delhi, 110012,  India.

出版信息

J Nematol. 2020;52:1-16. doi: 10.21307/jofnem-2020-033.

DOI:10.21307/jofnem-2020-033
PMID:32323933
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7266040/
Abstract

Distributed widely across the rice growing regions of India, the rice leaf and bud nematode ( Christie 1942) can cause substantial yield loss in rice. Whitening of leaf tips is the characteristics damage symptom of this nematode and therefore it is popularly referred to as the rice white tip nematode (RWTN). While information on the damage severity of RWTN is available from others parts of the country, to date, no information is available from the state of Jharkhand. In order to generate a detailed information on spatial distribution of this nematode and to identify infestation hotspots, extensive field sampling was conducted across the Giridih district of Jharkhand. In total, 163 samples with each sample consisting of 30 randomly chosen panicles from three nearby rice fields were collected across the district. Moran's I spatial autocorrelation test confirmed the presence of significant spatial clustering among the sampling locations. Optimized hotspot analysis found the presence of one significant hotspot in Dumri block and cold spots in adjoining areas of Gawan, Tisri, and Dhanwar blocks. Spatial interpolation techniques like inverse distance weighting (IDW) and ordinary kriging (OK) were employed to predict the population density at unsampled locations. Both IDW and OK resulted into generation of similar kind of maps where population density was found to be higher in Dumri, Giridih, Bengabad and some other pockets of the district. Finally, indicator kriging approach was employed which resulted into identifying both risk and nematode free areas. In risk areas, where the probability of the population density exceeding the economic threshold limit is high, immediate quarantine measures should be taken to prevent further dissemination of contaminated seeds. Our study provided a scientifically based decision method to devise preventive and curative protection measures against , a neglected pest of quarantine significance of rice in India. Distributed widely across the rice growing regions of India, the rice leaf and bud nematode ( Christie 1942) can cause substantial yield loss in rice. Whitening of leaf tips is the characteristics damage symptom of this nematode and therefore it is popularly referred to as the rice white tip nematode (RWTN). While information on the damage severity of RWTN is available from others parts of the country, to date, no information is available from the state of Jharkhand. In order to generate a detailed information on spatial distribution of this nematode and to identify infestation hotspots, extensive field sampling was conducted across the Giridih district of Jharkhand. In total, 163 samples with each sample consisting of 30 randomly chosen panicles from three nearby rice fields were collected across the district. Moran’s I spatial autocorrelation test confirmed the presence of significant spatial clustering among the sampling locations. Optimized hotspot analysis found the presence of one significant hotspot in Dumri block and cold spots in adjoining areas of Gawan, Tisri, and Dhanwar blocks. Spatial interpolation techniques like inverse distance weighting (IDW) and ordinary kriging (OK) were employed to predict the population density at unsampled locations. Both IDW and OK resulted into generation of similar kind of maps where population density was found to be higher in Dumri, Giridih, Bengabad and some other pockets of the district. Finally, indicator kriging approach was employed which resulted into identifying both risk and nematode free areas. In risk areas, where the probability of the population density exceeding the economic threshold limit is high, immediate quarantine measures should be taken to prevent further dissemination of contaminated seeds. Our study provided a scientifically based decision method to devise preventive and curative protection measures against , a neglected pest of quarantine significance of rice in India.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/a0cbccf3db10/jofnem-52-033-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/1bec0da4cc68/jofnem-52-033-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/cce88f8a01bf/jofnem-52-033-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/4e7b625292b1/jofnem-52-033-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/a35d083d735e/jofnem-52-033-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/1220a84b209e/jofnem-52-033-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/2d1e107fa37f/jofnem-52-033-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/b86d9d4c7bb1/jofnem-52-033-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/0041c288a451/jofnem-52-033-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/1115f47e19c4/jofnem-52-033-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/2cca87c16719/jofnem-52-033-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/a0cbccf3db10/jofnem-52-033-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/1bec0da4cc68/jofnem-52-033-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/cce88f8a01bf/jofnem-52-033-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/4e7b625292b1/jofnem-52-033-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/a35d083d735e/jofnem-52-033-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/1220a84b209e/jofnem-52-033-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/2d1e107fa37f/jofnem-52-033-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/b86d9d4c7bb1/jofnem-52-033-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/0041c288a451/jofnem-52-033-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/1115f47e19c4/jofnem-52-033-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/2cca87c16719/jofnem-52-033-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/7266040/a0cbccf3db10/jofnem-52-033-g011.jpg
摘要

稻叶芽线虫(克里斯蒂,1942年)广泛分布于印度的水稻种植区,可导致水稻大幅减产。叶尖变白是这种线虫典型的损害症状,因此它通常被称为水稻白尖线虫(RWTN)。虽然该国其他地区有关于水稻白尖线虫损害严重程度的信息,但迄今为止,贾坎德邦尚无相关信息。为了获取有关这种线虫空间分布的详细信息并确定侵染热点,在贾坎德邦的吉里迪赫区进行了广泛的田间采样。该地区总共采集了163个样本,每个样本由从附近三块稻田中随机选取的30个稻穗组成。莫兰指数空间自相关检验证实了采样地点之间存在显著的空间聚集。优化的热点分析发现杜姆里街区有一个显著热点,而加万、蒂斯里和丹瓦尔街区的毗邻地区有冷点。采用了反距离加权法(IDW)和普通克里金法(OK)等空间插值技术来预测未采样地点的种群密度。IDW和OK都生成了类似的地图,发现杜姆里、吉里迪赫、本加巴德和该地区其他一些区域的种群密度较高。最后,采用指示克里金法确定了风险区和无线虫区。在种群密度超过经济阈值限制概率较高的风险区,应立即采取检疫措施,防止受污染种子的进一步传播。我们的研究提供了一种基于科学的决策方法,以制定针对印度一种被忽视的具有检疫重要性的水稻害虫的预防和治疗保护措施。稻叶芽线虫(克里斯蒂,1942年)广泛分布于印度的水稻种植区,可导致水稻大幅减产。叶尖变白是这种线虫典型的损害症状,因此它通常被称为水稻白尖线虫(RWTN)。虽然该国其他地区有关于水稻白尖线虫损害严重程度的信息,但迄今为止,贾坎德邦尚无相关信息。为了获取有关这种线虫空间分布的详细信息并确定侵染热点,在贾坎德邦的吉里迪赫区进行了广泛的田间采样。该地区总共采集了163个样本,每个样本由从附近三块稻田中随机选取的30个稻穗组成。莫兰指数空间自相关检验证实了采样地点之间存在显著的空间聚集。优化的热点分析发现杜姆里街区有一个显著热点,而加万、蒂斯里和丹瓦尔街区的毗邻地区有冷点。采用了反距离加权法(IDW)和普通克里金法(OK)等空间插值技术来预测未采样地点的种群密度。IDW和OK都生成了类似的地图,发现杜姆里、吉里迪赫、本加巴德和该地区其他一些区域的种群密度较高。最后,采用指示克里金法确定了风险区和无线虫区。在种群密度超过经济阈值限制概率较高的风险区,应立即采取检疫措施,防止受污染种子的进一步传播。我们的研究提供了一种基于科学的决策方法,以制定针对印度一种被忽视的具有检疫重要性的水稻害虫的预防和治疗保护措施。

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Observations on the Foliar Nematode, Aphelenchoides besseyi, Infecting Tuberose and Rice in India.关于侵染印度晚香玉和水稻的叶部线虫——贝西滑刃线虫的观察报告
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