干旱区生态环境知识资源中心(Arid): 新疆荒漠绿洲稻区稻水象甲幼虫、蛹的空间分布型及抽样技术

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	新疆荒漠绿洲稻区稻水象甲幼虫、蛹的空间分布型及抽样技术
其他题名	Spatial Distribution Pattern and Sampling Technique for Larvae and Pupa of Rice Water Weevil in Ecological Regions of Oasis in Xinjiang
	王小武 1; 丁新华 1; 吐尔逊 1; 付开赟 1; 何江 1; 李广阔 1; 高海峰 1; 白微微 1; 郭文超 2
来源期刊	西北农业学报
ISSN	1004-1389
出版年	2017
卷号	26 期号:9 页码:1385-1394
中文摘要	旨在探明新疆荒漠绿洲稻区特殊生境下稻水象甲的空间分布格局及抽样技术,为该虫情预测预报及田间有效监测提供科学依据。应用扩散系数进行t检验,以丛生指数Moore I、平均拥挤度m、聚集度指数m/m、C_A指标、聚集强度K及扩散指数I_Q等6种聚集度指标相互印证,用Iwao回归、Taylor幂法则、聚集均数(lambda)及U检验,对稻水象甲幼虫、蛹两种不同虫态下种群空间格局及抽样技术进行研究。2种虫态下稻水象甲均呈密度依赖型聚集分布,m*-m回归表明;其空间分布的基本成分均是稻水象甲个体群,但幼虫个体间相互排斥,蛹相互吸引。Taylor幂法则分析表明:均值与聚集度呈显著正相关;聚集均数(lambda)分析表明:稻水象甲幼虫、蛹的聚集均是由其本身的聚集行为与环境共同影响所致,且蛹的聚集程度高于幼虫。此外,用Iwao回归法,建立最适理论抽样模型:N=(t/D)~2[(alpha+1)/m+beta-1)],计算出在不同密度(m)下稻水象甲幼虫和蛹的理论抽样数,随着幼虫、蛹密度的增大,所需抽样数逐渐减少,m_0取平均每穴幼虫数为12头时,两种虫态序贯抽样公式依次为T_1(n),T_0(n)=12n18.527 0n、T_1(n),T_0(n)=12n22.200 9n,经U检验,稻水象甲两种虫态各抽样方法均可靠,田间最适抽样方法幼虫为"Z"字形取样法(0.140),蛹则为大5点取样法(0.177)。综上,两种虫态下稻水象甲均为聚集分布,且蛹的聚集程度高于幼虫的聚集强度,其聚集原因均是由其本身的聚集行为与环境共同影响所致,在大田抽样中,幼虫、蛹的最适抽样依次为"Z"字形取样法和大5点取样法。
英文摘要	Spatial distribution patterns and sampling technique of rice water weevil(RWW), Lissorhoptrus oryzophilus Kuschel in special habitat region of Xinjiang desert oasis was studied, the results provide a theoretical basis for pest forecast and effective monitoring. By crosschecking 6 aggregation indices: t-test, Moore I, Mean Crowding m, Contag m/m,Cassie indecx C_A, Negitive binomial distribution K and difussion index I_Q, and using Iwao’s regression methods,Taylor’s power principle,aggregation average(lambda) and U-test, spatial distribution patterns and sample method of rice water weevil larvae and pupa in different insect instar were investigated. It indicated that the L.oryzophilus had an aggregated spatial pattern with density dependence. m*-m regression showed that the distribution patterns of rice water weevil was grouped by individuals, the larvae repelled each other but pupae attracted. Taylor’s power principle indicated that mean and aggregation degree was significantly positively related; aggregation average (lambda) showed that aggression behavaor was caused by both RWW’s congregation habit and environmental factors, and the index of pupae was higher than that of larvae. In addition, the optimal theoretical sampling model was established by Iwao’s regression methods:N=(t/D)2[(alpha+1)/m+beta-1)], and theoretical sampling numbers of larvae and pupae under different densities (m) RWW were caculated. The results depicated that the sampling number was gradually reduced along with the increase of the density of larva and pupa. When control threshold of larvae and pupae was 12 per plant, the sequential sampling formula with 2 different insect states were T_1(n),T_0(n)=12n18.527 0n and T_1(n),T_0(n)=12n22.200 9n. The sampling methods of RWW were reliable to check by using U test. The optimal sampling method in the field was"Z" pattern sampling method (0.140), for larvae and great five plots sampling method for pupae(0.177).Above all, the RWW had an aggregated spatial pattern under two different insect states,and aggregation intensity of pupae was higher than that of larvae. The aggregation was caused by both congregation habit of RWW and environmental factors. The optimal sampling method of larvae and pupae was Z pattern sampling method and great five plots sampling method.
中文关键词	稻水象甲 ; 荒漠绿洲 ; 空间分布型 ; t检验 ; 抽样技术
英文关键词	Lissorhoptrus oryzophilus Kuschel Desert oasis Spatial distribution patterns t-text Sampling technique
语种	中文
国家	中国
收录类别	CSCD
WOS类目	AGRICULTURE MULTIDISCIPLINARY
WOS研究方向	Agriculture
CSCD记录号	CSCD:6080761
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/236809
作者单位	1.新疆农业科学院植物保护研究所, 农业部西北荒漠绿洲作物有害生物综合治理重点实验室, 乌鲁木齐, 新疆 830091, 中国; 2.新疆农业科学院微生物应用研究所, 乌鲁木齐, 新疆 830091, 中国
推荐引用方式 GB/T 7714	王小武,丁新华,吐尔逊,等. 新疆荒漠绿洲稻区稻水象甲幼虫、蛹的空间分布型及抽样技术[J],2017,26(9):1385-1394.
APA	王小武.,丁新华.,吐尔逊.,付开赟.,何江.,...&郭文超.(2017).新疆荒漠绿洲稻区稻水象甲幼虫、蛹的空间分布型及抽样技术.西北农业学报,26(9),1385-1394.
MLA	王小武,et al."新疆荒漠绿洲稻区稻水象甲幼虫、蛹的空间分布型及抽样技术".西北农业学报 26.9(2017):1385-1394.