枣锈病空间分布及抽样技术研究  

Spatial Distribution Pattern and Sampling Technique of Jujube Rust

作　　者：高荣 贾艳梅 刘冬林 柴红烨 高天健 赵学庆 呼志荣 Gao Rong;Jia Yanmei;Liu Donglin;Chai Hongye;Gao Tianjian;Zhao Xueqing;Hu Zhirong(Shaanxi Academy of Forestry Sciences,Xi’an 710082,China;Northwest Agriculture and Forestry University,Yangling 712100,China)

机构地区：[1]陕西省林业科学院,陕西西安710082 [2]西北农林科技大学,陕西杨凌712100

出　　处：《山西林业科技》2024年第4期36-38,共3页Shanxi Forestry Science and Technology

基　　金：中央财政林业有害生物防治项目(2021)。

摘　　要：在陕西省林业科学院试验基地内开展野外调查,采用聚集度指标法、Iwao M*-m回归模型以及兰星平La-m模型,研究枣锈病的空间分布情况,并建立最适理论抽样数模型。结果表明,在调查区内,枣锈病发病个体之间相互排斥,呈均匀分布的格局。此外,枣锈病抽样数与病害等级均值关系密切,在误差值一定的情况下,随着病害等级均值的增加,抽样数减少;如果病害等级相同,理论抽样数减少的同时其误差值会随之增加。A field survey was carried out within the experimental base of Shaanxi Academy of Forestry Sciences to study the spatial distribution of Jujube Rust using the aggregation index method,the Iwao M*-m regression model and the Lansingping La-m model,and an optimal theoretical sampling number model was established.The results showed that within the investigation area,individuals with Jujube Rust were mutually exclusive from each other and showed a uniform distribution pattern.In addition,the sampling number of date rust was closely related to the mean value of the disease class,and the sampling number decreased with the increase of the mean value of the disease class under a certain error value.When the disease class was the same,the theoretical sampling number decreased and the error value increased at the same time.

关 键 词：枣锈病 聚集指数 空间分布 抽样模型 

分 类 号：S665.1[农业科学—果树学]