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Spatial distribution and sequential sampling plans for Tuta absoluta (Lepidoptera: Gelechiidae) in greenhouse tomato crops
被引:47
|作者:
Cocco, Arturo
[1
]
Serra, Giuseppe
[2
]
Lentini, Andrea
[1
]
Deliperi, Salvatore
[1
]
Delrio, Gavino
[1
]
机构:
[1] Univ Sassari, Dept Agr, I-07100 Sassari, Italy
[2] CNR, Inst Ecosyst Study, Sassari, Italy
关键词:
tomato leafminer;
Taylor's power law;
Iwao's patchiness regression;
enumerative sampling;
binomial sampling;
resampling validation;
BIOLOGICAL-CONTROL;
MEYRICK;
POPULATIONS;
COLEOPTERA;
MANAGEMENT;
ACCURACY;
PINWORM;
D O I:
10.1002/ps.3931
中图分类号:
S3 [农学(农艺学)];
学科分类号:
0901 ;
摘要:
BACKGROUNDThe within- and between-plant distribution of the tomato leafminer, Tuta absoluta (Meyrick), was investigated in order to define action thresholds based on leaf infestation and to propose enumerative and binomial sequential sampling plans for pest management applications in protected crops. RESULTSThe pest spatial distribution was aggregated between plants, and median leaves were the most suitable sample to evaluate the pest density. Action thresholds of 36 and 48%, 43 and 56% and 60 and 73% infested leaves, corresponding to economic thresholds of 1 and 3% damaged fruits, were defined for tomato cultivars with big, medium and small fruits respectively. Green's method was a more suitable enumerative sampling plan as it required a lower sampling effort. Binomial sampling plans needed lower average sample sizes than enumerative plans to make a treatment decision, with probabilities of error of <0.10. CONCLUSIONSThe enumerative sampling plan required 87 or 343 leaves to estimate the population density in extensive or intensive ecological studies respectively. Binomial plans would be more practical and efficient for control purposes, needing average sample sizes of 17, 20 and 14 leaves to take a pest management decision in order to avoid fruit damage higher than 1% in cultivars with big, medium and small fruits respectively. (c) 2014 Society of Chemical Industry
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页码:1311 / 1323
页数:13
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