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Development of a sampling plan for Myzus persicae (Hemiptera : Aphidoidea) and its predator Macrolophus costalis (Hemiptera : Miridae) on tobacco

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2005
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Authors
Athanassiou, CG
Kavallieratos, Nickolas G.
Tomanović, Željko
Tomanović, Snežana
Milutinović, M
Article (Published version)
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Abstract
A tobacco field in Greece was sampled during the 2001 and 2002 growing seasons to assess the seasonal trends in densities and spatial distributions of the aphid Myzus persicae (Sulzer) and its predatory mirid Macrolophus costalis (Fieber). On repeated occasions between June Oust after the transplantation) and September Oust before harvest), 20 tobacco leaves (10 from the upper and 10 from the lower plant part) were taken from randomly chosen plants. These leaves were sampled for aphids and mirids. In both years, the highest aphid densities were recorded during July and August, while aphid numbers were low in September. In contrast, the majority of M costalis individuals were found during September when aphid numbers were low. Significantly more M persieae individuals were found in the upper part of the plants, whereas significantly more M costalis individuals were found in the lower part of the plants. As indicated by Taylor's Power Law estimates, both species were aggregated in their ...spatial distributions among sampling units (leaves). Wilson and Room's model, based on the Taylor's estimates, was used to calculate the mean number of aphids and mirids, from the proportion of sampling units (leaves) that had gt 0 individuals of each species. This model provided a satisfactory fit of the data for both the aphid and the mirid. In addition, Wilson and Room's model was successfully used to predict the mean number of aphids and mirids in a series of samples that were carried out in the same area between June and September 2003 for model validation. Finally, equations are given for the calculation of precision in estimating the mean number of aphids or mirids per sampling unit, and the required sample size for a given level of precision.

Keywords:
Aphids / Myzus persicae / Miridae / Macrolophus costalis / tobacco / sampling / precision / sample size
Source:
European Journal of Entomology, 2005, 102, 3, 399-405
Publisher:
  • Czech Acad Sci, Inst Entomology, Ceske Budejovice

DOI: 10.14411/eje.2005.057

ISSN: 1210-5759

WoS: 000231353100010

Scopus: 2-s2.0-24044550726
[ Google Scholar ]
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9
URI
http://rimi.imi.bg.ac.rs/handle/123456789/128
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
Institut za medicinska istraživanja
TY  - JOUR
AU  - Athanassiou, CG
AU  - Kavallieratos, Nickolas G.
AU  - Tomanović, Željko
AU  - Tomanović, Snežana
AU  - Milutinović, M
PY  - 2005
UR  - http://rimi.imi.bg.ac.rs/handle/123456789/128
AB  - A tobacco field in Greece was sampled during the 2001 and 2002 growing seasons to assess the seasonal trends in densities and spatial distributions of the aphid Myzus persicae (Sulzer) and its predatory mirid Macrolophus costalis (Fieber). On repeated occasions between June Oust after the transplantation) and September Oust before harvest), 20 tobacco leaves (10 from the upper and 10 from the lower plant part) were taken from randomly chosen plants. These leaves were sampled for aphids and mirids. In both years, the highest aphid densities were recorded during July and August, while aphid numbers were low in September. In contrast, the majority of M costalis individuals were found during September when aphid numbers were low. Significantly more M persieae individuals were found in the upper part of the plants, whereas significantly more M costalis individuals were found in the lower part of the plants. As indicated by Taylor's Power Law estimates, both species were aggregated in their spatial distributions among sampling units (leaves). Wilson and Room's model, based on the Taylor's estimates, was used to calculate the mean number of aphids and mirids, from the proportion of sampling units (leaves) that had  gt  0 individuals of each species. This model provided a satisfactory fit of the data for both the aphid and the mirid. In addition, Wilson and Room's model was successfully used to predict the mean number of aphids and mirids in a series of samples that were carried out in the same area between June and September 2003 for model validation. Finally, equations are given for the calculation of precision in estimating the mean number of aphids or mirids per sampling unit, and the required sample size for a given level of precision.
PB  - Czech Acad Sci, Inst Entomology, Ceske Budejovice
T2  - European Journal of Entomology
T1  - Development of a sampling plan for Myzus persicae (Hemiptera : Aphidoidea) and its predator Macrolophus costalis (Hemiptera : Miridae) on tobacco
EP  - 405
IS  - 3
SP  - 399
VL  - 102
DO  - 10.14411/eje.2005.057
ER  - 
@article{
author = "Athanassiou, CG and Kavallieratos, Nickolas G. and Tomanović, Željko and Tomanović, Snežana and Milutinović, M",
year = "2005",
abstract = "A tobacco field in Greece was sampled during the 2001 and 2002 growing seasons to assess the seasonal trends in densities and spatial distributions of the aphid Myzus persicae (Sulzer) and its predatory mirid Macrolophus costalis (Fieber). On repeated occasions between June Oust after the transplantation) and September Oust before harvest), 20 tobacco leaves (10 from the upper and 10 from the lower plant part) were taken from randomly chosen plants. These leaves were sampled for aphids and mirids. In both years, the highest aphid densities were recorded during July and August, while aphid numbers were low in September. In contrast, the majority of M costalis individuals were found during September when aphid numbers were low. Significantly more M persieae individuals were found in the upper part of the plants, whereas significantly more M costalis individuals were found in the lower part of the plants. As indicated by Taylor's Power Law estimates, both species were aggregated in their spatial distributions among sampling units (leaves). Wilson and Room's model, based on the Taylor's estimates, was used to calculate the mean number of aphids and mirids, from the proportion of sampling units (leaves) that had  gt  0 individuals of each species. This model provided a satisfactory fit of the data for both the aphid and the mirid. In addition, Wilson and Room's model was successfully used to predict the mean number of aphids and mirids in a series of samples that were carried out in the same area between June and September 2003 for model validation. Finally, equations are given for the calculation of precision in estimating the mean number of aphids or mirids per sampling unit, and the required sample size for a given level of precision.",
publisher = "Czech Acad Sci, Inst Entomology, Ceske Budejovice",
journal = "European Journal of Entomology",
title = "Development of a sampling plan for Myzus persicae (Hemiptera : Aphidoidea) and its predator Macrolophus costalis (Hemiptera : Miridae) on tobacco",
pages = "405-399",
number = "3",
volume = "102",
doi = "10.14411/eje.2005.057"
}
Athanassiou, C., Kavallieratos, N. G., Tomanović, Ž., Tomanović, S.,& Milutinović, M.. (2005). Development of a sampling plan for Myzus persicae (Hemiptera : Aphidoidea) and its predator Macrolophus costalis (Hemiptera : Miridae) on tobacco. in European Journal of Entomology
Czech Acad Sci, Inst Entomology, Ceske Budejovice., 102(3), 399-405.
https://doi.org/10.14411/eje.2005.057
conv_1684
Athanassiou C, Kavallieratos NG, Tomanović Ž, Tomanović S, Milutinović M. Development of a sampling plan for Myzus persicae (Hemiptera : Aphidoidea) and its predator Macrolophus costalis (Hemiptera : Miridae) on tobacco. in European Journal of Entomology. 2005;102(3):399-405.
doi:10.14411/eje.2005.057
conv_1684 .
Athanassiou, CG, Kavallieratos, Nickolas G., Tomanović, Željko, Tomanović, Snežana, Milutinović, M, "Development of a sampling plan for Myzus persicae (Hemiptera : Aphidoidea) and its predator Macrolophus costalis (Hemiptera : Miridae) on tobacco" in European Journal of Entomology, 102, no. 3 (2005):399-405,
https://doi.org/10.14411/eje.2005.057 .,
conv_1684 .

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