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20250216194311.0 |
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tu |
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231224s2014 xx ||||| 00| ||eng c |
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|a pubmed25n0788.xml
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|a (NLM)24643451
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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 Liu, Zheng
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Statistical and Economic Techniques for Site-specific Nematode Management
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| 264 |
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1 |
|c 2014
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 19.03.2014
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|a Date Revised 18.03.2024
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Recent advances in precision agriculture technologies and spatial statistics allow realistic, site-specific estimation of nematode damage to field crops and provide a platform for the site-specific delivery of nematicides within individual fields. This paper reviews the spatial statistical techniques that model correlations among neighboring observations and develop a spatial economic analysis to determine the potential of site-specific nematicide application. The spatial econometric methodology applied in the context of site-specific crop yield response contributes to closing the gap between data analysis and realistic site-specific nematicide recommendations and helps to provide a practical method of site-specifically controlling nematodes
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| 650 |
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4 |
|a Journal Article
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| 650 |
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4 |
|a nematode management
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| 650 |
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4 |
|a precision agriculture
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| 650 |
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4 |
|a site-specific techniques
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| 650 |
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4 |
|a spatial autocorrelation
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| 650 |
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4 |
|a spatial econometrics
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| 650 |
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4 |
|a yield response function
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| 700 |
1 |
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|a Griffin, Terry
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kirkpatrick, Terrence L
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Journal of nematology
|d 1969
|g 46(2014), 1 vom: 04. März, Seite 12-7
|w (DE-627)NLM098196421
|x 0022-300X
|7 nnns
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| 773 |
1 |
8 |
|g volume:46
|g year:2014
|g number:1
|g day:04
|g month:03
|g pages:12-7
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|a AR
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| 952 |
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|d 46
|j 2014
|e 1
|b 04
|c 03
|h 12-7
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