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231223s1991 xx ||||| 00| ||eng c |
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|a pubmed25n0624.xml
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|a (DE-627)NLM187053421
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|a (NLM)19283095
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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100 |
1 |
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|a McSorley, R
|e verfasserin
|4 aut
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|a Determining consistency of spatial dispersion of nematodes in small plots
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|c 1991
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 14.07.2011
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|a Date Revised 20.10.2021
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a Nematode population densities in field plots were estimated by collecting samples consisting of 12 soil cores. Plots encompassed a variety of plant hosts and sampling dates, and provided data on the population densities of seven species of plant-parasitic nematodes. Three separate samples were collected per plot on each sampling date to obtain estimates of the mean and variance of numbers for each species. For each nematode species, these estimates were used to derive the Taylor's Power Law regression over plots having identical hosts and sampling dates. For some nematode species, comparisons of regression equations among different sampling dates on the same host revealed similarities in values of a and b from Taylor's Power Law. Parameters of Taylor's Power Law relationships were used to develop sampling plans and to obtain estimates of sample precision. Precision estimates from specific and general sampling plans are illustrated for Belonolaimus longicaudatus
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|a Journal Article
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|a Taylor's Power Law
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|a population estimation
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|a sample precision
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|a sampling
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|a spatial dispersion
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|a Dickson, D W
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of nematology
|d 1969
|g 23(1991), 1 vom: 15. Jan., Seite 65-72
|w (DE-627)NLM098196421
|x 0022-300X
|7 nnas
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773 |
1 |
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|g volume:23
|g year:1991
|g number:1
|g day:15
|g month:01
|g pages:65-72
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|a GBV_USEFLAG_A
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|a SYSFLAG_A
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|a GBV_NLM
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|a GBV_ILN_350
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|a AR
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|d 23
|j 1991
|e 1
|b 15
|c 01
|h 65-72
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