Study on the spatial distribution and sampling technique of Grapholitha funebrana

doi:10.6048/j.issn.1001-4330.2024.07.025

Abstract

Abstract:

【Objective】To clarify the spatial distribution patterns and sampling techniques of Grapholitha funebrana Treitscheke larvae in orchards, so as to provide theoretical basis for scientific control, investigation and sampling of the insect.【Methods】The spatial distribution pattern and sampling technique were studied by means of aggregation index method, Iwao regression analysis, Taylor's power law and Iwao optimal sampling model.【Results】The spatial distribution pattern of larva was related to population density. With the increase of population density, the spatial distribution of larva changed from uniform distribution to aggregation distribution. The distribution of larva was uniform distribution when the rate of caries was 0.22%, and the distribution of larva was aggregatived when the rate of caries was 1.67%-10.10%. The causes of aggregation were caused by their living habits and environmental conditions. The optimum sampling number under different population densities and allowable errors was determined.【Conclusion】With the increase of population density, the spatial distribution of larva larvae changes from uniform distribution to aggregation distribution. For the orchards with aggregation distribution (fruit decay rate >1.67%), it is important to control the plant or the parts with serious damage, which is the key measure to effectively control the spread and damage of G. funebrana.

Key words: Grapholitha funebrana; orchard; spatial distribution; sampling technique

摘要：

【目的】研究李小食心虫(Grapholitha funebrana Treitscheke)幼虫在果园的空间分布,为李小食心虫的科学防控及确定最适抽样数提供理论依据。【方法】采用聚集指标法、Iwao回归分析、Taylor幂法则和Iwao最适抽样模型等方法,研究李小食心虫空间分布规律及确定其最佳抽样数。【结果】李小食心虫幼虫空间分布型与种群密度有关,在调查范围内(蛀果率在0.22%~10.10%),随着种群密度的增加其空间由均匀分布向聚集分布转变,蛀果率在0.22%时为均匀分布,蛀果率在1.67%~10.10%时为聚集分布,该变化是其生活习性和环境条件所引起的;确定了不同种群密度和允许误差下的最适抽样数。【结论】随着李小食心虫幼虫种群密度的增加其空间分布亦由均匀分布向聚集分布转变;对于李小食心虫聚集分布的果园(蛀果率>1.67%的果园),应重点防治为害严重株或部位,有效控制该虫的扩散。

关键词: 李小食心虫, 果园, 空间分布, 抽样技术

CLC Number:

LIU Yuping, XU Bingqiang, SONG Bo, LI Haiqiang, CHEN Haoyu, HAO Jingzhe, ZHU Xiaofeng, REN Jinlong. Study on the spatial distribution and sampling technique of Grapholitha funebrana[J]. Xinjiang Agricultural Sciences, 2024, 61(7): 1772-1777.

刘雨萍, 徐兵强, 宋博, 李海强, 陈浩宇, 郝敬喆, 朱晓锋, 任金龙. 李小食心虫在果园的空间分布变化及其最适抽样数的分析[J]. 新疆农业科学, 2024, 61(7): 1772-1777.

Figures/Tables 4

Tab.1 Determination of larval aggregation index of G.funebrana

样地 Sample orchard	$\bar{X}$	S²	C	I	C_A	K	$\overset{*}{M}$	$\overset{*}{M}$ / $\bar{X}$	I_δ	空间分布型 Spatial distribution type
1	0.22	0.07	0.29	-0.71	-3.18	-0.31	-0.48	-2.18	-3.49	均匀分布
2	1.67	2.98	1.78	0.78	0.47	2.14	2.45	1.47	1.55	聚集分布
3	6.42	18.68	2.91	1.91	0.30	3.37	8.33	1.30	1.31	聚集分布
4	10.10	17.98	1.78	0.78	0.08	12.94	10.88	1.08	1.09	聚集分布

Tab.1 Determination of larval aggregation index of G.funebrana

样地 Sample orchard	$\bar{X}$	S²	C	I	C_A	K	$\overset{*}{M}$	$\overset{*}{M}$ / $\bar{X}$	I_δ	空间分布型 Spatial distribution type
1	0.22	0.07	0.29	-0.71	-3.18	-0.31	-0.48	-2.18	-3.49	均匀分布
2	1.67	2.98	1.78	0.78	0.47	2.14	2.45	1.47	1.55	聚集分布
3	6.42	18.68	2.91	1.91	0.30	3.37	8.33	1.30	1.31	聚集分布
4	10.10	17.98	1.78	0.78	0.08	12.94	10.88	1.08	1.09	聚集分布

Tab.2 Regression analysis model population of larvae of G.funebrana

模型 Model	方位 Direction	回归方程 Regressive equation	相关系数 Related coefficient	空间分布型 Spatial distribution type	蛀果率 (%)
Iwao回归方程 Iwao regressive equation $\overset{*}{M}$ =α+β $\bar{X}$	全株	$\overset{*}{M}$ =1.09 + 1.01 $\bar{X}$	R² = 0.98	聚集分布	1.67~10.10
	东	$\overset{*}{M}$ =1.11+ 1.55 $\bar{X}$	R² = 0.99	聚集分布	0.30~9.99
	西	$\overset{*}{M}$ =2.58 + 1.32 $\bar{X}$	R² = 0.72	聚集分布	0.29~10.93
	南	$\overset{*}{M}$ =1.06 +1.17 $\bar{X}$	R² = 0.98	聚集分布	0.24~7.02
	北	$\overset{*}{M}$ =1.88 + 1.07 $\bar{X}$	R² = 0.90	聚集分布	1.99~9.60
	中	$\overset{*}{M}$ =0.83 + 1.26 $\bar{X}$	R² = 0.99	聚集分布	0.32~9.78
	上	$\overset{*}{M}$ =0.07 + 1.23 $\bar{X}$	R² = 0.99	聚集分布	0.96~9.25
Tatlor 回归方程 Tatlor regressive equation $l o g s^{2} = l o g a + b l o g \bar{X}$	全株	lgs²=0.27 + 1.08 lg $\bar{X}$	R² = 0.93	聚集分布
	东	lgs² =0.43 +1.13 lg $\bar{X}$	R² = 0.99	聚集分布
	西	lgs² =0.50 + 1.30 lg $\bar{X}$	R² = 0.94	聚集分布	同上
	南	lgs² = 0.36 + 1.2 lg $\bar{X}$	R² = 0.99	聚集分布
	北	lgs² = 0.32 + 1.25 lg $\bar{X}$	R² = 0.88	聚集分布
	中	lgs² = 0.32 + 1.31 lg $\bar{X}$	R² = 0.99	聚集分布
	上	lgs² = 0.10 + 1.40 lg $\bar{X}$	R² = 0.99	聚集分布

Tab.2 Regression analysis model population of larvae of G.funebrana

模型 Model	方位 Direction	回归方程 Regressive equation	相关系数 Related coefficient	空间分布型 Spatial distribution type	蛀果率 (%)
Iwao回归方程 Iwao regressive equation $\overset{*}{M}$ =α+β $\bar{X}$	全株	$\overset{*}{M}$ =1.09 + 1.01 $\bar{X}$	R² = 0.98	聚集分布	1.67~10.10
	东	$\overset{*}{M}$ =1.11+ 1.55 $\bar{X}$	R² = 0.99	聚集分布	0.30~9.99
	西	$\overset{*}{M}$ =2.58 + 1.32 $\bar{X}$	R² = 0.72	聚集分布	0.29~10.93
	南	$\overset{*}{M}$ =1.06 +1.17 $\bar{X}$	R² = 0.98	聚集分布	0.24~7.02
	北	$\overset{*}{M}$ =1.88 + 1.07 $\bar{X}$	R² = 0.90	聚集分布	1.99~9.60
	中	$\overset{*}{M}$ =0.83 + 1.26 $\bar{X}$	R² = 0.99	聚集分布	0.32~9.78
	上	$\overset{*}{M}$ =0.07 + 1.23 $\bar{X}$	R² = 0.99	聚集分布	0.96~9.25
Tatlor 回归方程 Tatlor regressive equation $l o g s^{2} = l o g a + b l o g \bar{X}$	全株	lgs²=0.27 + 1.08 lg $\bar{X}$	R² = 0.93	聚集分布
	东	lgs² =0.43 +1.13 lg $\bar{X}$	R² = 0.99	聚集分布
	西	lgs² =0.50 + 1.30 lg $\bar{X}$	R² = 0.94	聚集分布	同上
	南	lgs² = 0.36 + 1.2 lg $\bar{X}$	R² = 0.99	聚集分布
	北	lgs² = 0.32 + 1.25 lg $\bar{X}$	R² = 0.88	聚集分布
	中	lgs² = 0.32 + 1.31 lg $\bar{X}$	R² = 0.99	聚集分布
	上	lgs² = 0.10 + 1.40 lg $\bar{X}$	R² = 0.99	聚集分布

Tab.3 Mean larval aggregation of G.funebrana

样地/λ Plot /λ	全株 Whole plant	东 East	西 West	南 South	北 North	中 Middle	上 Up	下 Down
1	/	/	/	/	/	11.07	/	/
2	3.71	6.54	4.85	3.93	4.34	1.37	1.82	5.37
3	12.01	15.93	20.08	13.24	11.46	9.68	10.36	15.58
4	14.69	17.85	19.54	/	16.63	19.67	16.91	12.9

Tab.4 Optimal sampling size (strain) for the investigation of larvae of G.funebrana

允许误差(D) Allowable error(D)	蛀果率Rate of infested fruits (%)
允许误差(D) Allowable error(D)	1	2	3	4	5	6	7	8	9	10
0.1	210	106	71	53	43	36	31	27	24	22
0.2	53	26	18	13	11	9	8	7	6	5
0.3	23	12	8	6	5	4	3	3	3	2

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