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中国三个不同尺度稻瘟病的空间分析。

Spatial Analysis of Rice Blast in China at Three Different Scales.

机构信息

First, second, fourth, fifth, and sixth authors: Department of Plant Pathology, China Agricultural University, Beijing, 100193, China; and third author: National Agricultural Technology Extension and Service Center, Ministry of Agriculture of the People's Republic of China, Beijing, 100125, China.

出版信息

Phytopathology. 2018 Nov;108(11):1276-1286. doi: 10.1094/PHYTO-01-18-0006-R. Epub 2018 Oct 2.

Abstract

In this study, spatial analyses were conducted at three different scales to better understand the epidemiology of rice blast, a major rice disease caused by Magnaporthe oryzae. At the regional scale, across the major rice production regions in China, rice blast incidence was monitored on 101 dates at 193 stations from 10 June to 10 September during 2009 to 2014, and surveyed in 143 fields in September 2016; at the county scale, three surveys were done covering one to five counties in 2015 to 2016; and, at the field scale, blast was evaluated in six fields in 2015 to 2016. Spatial cluster and hot spot analyses were conducted in the geographic information system on the geographical pattern of the disease at regional scale, and geostatistical analysis was performed at all three scales. Cluster and hot spot analyses revealed that high-disease areas were clustered in mountainous areas in China. Geostatistical analyses detected spatial dependence of blast incidence with influence ranges of 399 to 1,080 km at regional scale and 5 to 10 m at field scale but not at county scale. The spatial patterns at different scales might be determined by inherent properties of rice blast and environmental driving forces, and findings from this study provide helpful information to sampling and management of rice blast.

摘要

在这项研究中,我们在三个不同的尺度上进行了空间分析,以更好地了解稻瘟病的流行病学,稻瘟病是由稻瘟病菌引起的一种主要的水稻病害。在区域尺度上,跨越中国主要的水稻产区,我们在 2009 年至 2014 年期间的 6 月 10 日至 9 月 10 日期间,在 193 个站点的 101 个日期监测了稻瘟病的发病率,在 2016 年 9 月调查了 143 个田地;在县级尺度上,在 2015 年至 2016 年期间进行了三次调查,涵盖了一个至五个县;在田间尺度上,在 2015 年至 2016 年期间,在六个田块中评估了稻瘟病。在地理信息系统中对疾病的地理格局进行了空间聚类和热点分析,并在所有三个尺度上进行了地统计学分析。聚类和热点分析显示,高疾病地区集中在中国的山区。地统计学分析检测到稻瘟病发病率的空间依赖性,在区域尺度上的影响范围为 399 至 1080 公里,在田间尺度上的影响范围为 5 至 10 米,但在县级尺度上没有。不同尺度的空间格局可能由稻瘟病的固有特性和环境驱动力决定,本研究的结果为稻瘟病的抽样和管理提供了有价值的信息。

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