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Sampling Error in Relation to Cyst Nematode Population Density Estimation in Small Field Plots

Overview of attention for article published in Journal of Nematology, July 2017
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Title
Sampling Error in Relation to Cyst Nematode Population Density Estimation in Small Field Plots
Published in
Journal of Nematology, July 2017
DOI 10.21307/jofnem-2017-059
Pubmed ID
Authors

Vesna Zˇupunski, Radivoje Jevtic’, Vesna Spasic’ Jokic’, Ljubica Zˇupunski, Mirjana Lalosˇevic’, Mihajlo C’iric’, Zˇivko C’ Urcic

Abstract

Cyst nematodes are serious plant-parasitic pests which could cause severe yield losses and extensive damage. Since there is still very little information about error of population density estimation in small field plots, this study contributes to the broad issue of population density assessment. It was shown that there was no significant difference between cyst counts of five or seven bulk samples taken per each 1-m(2) plot, if average cyst count per examined plot exceeds 75 cysts per 100 g of soil. Goodness of fit of data to probability distribution tested with χ(2) test confirmed a negative binomial distribution of cyst counts for 21 out of 23 plots. The recommended measure of sampling precision of 17% expressed through coefficient of variation (cv) was achieved if the plots of 1 m(2) contaminated with more than 90 cysts per 100 g of soil were sampled with 10-core bulk samples taken in five repetitions. If plots were contaminated with less than 75 cysts per 100 g of soil, 10-core bulk samples taken in seven repetitions gave cv higher than 23%. This study indicates that more attention should be paid on estimation of sampling error in experimental field plots to ensure more reliable estimation of population density of cyst nematodes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Researcher 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Business, Management and Accounting 1 20%
Immunology and Microbiology 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2017.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Journal of Nematology
#204
of 392 outputs
Outputs of similar age
#209,280
of 326,540 outputs
Outputs of similar age from Journal of Nematology
#11
of 30 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 392 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.