Model-Based Tolerance Intervals Derived from Cumulative Historical Composition Data: Application for Substantial Equivalence Assessment of a Genetically Modified Crop
Compositional analysis is a requisite component of the substantial equivalence framework utilized to assess genetically modified (GM) crop safety. Statistical differences in composition data between GM and non-GM crops require a context in which to determine biological relevance. This context is pro...
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| Veröffentlicht in: | Journal of agricultural and food chemistry 2014-10, Vol.62 (40), p.9916-9926 |
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| container_end_page | 9926 |
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| container_issue | 40 |
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| container_title | Journal of agricultural and food chemistry |
| container_volume | 62 |
| creator | Hong, Bonnie Fisher, Tracey L Sult, Theresa S Maxwell, Carl A Mickelson, James A Kishino, Hirohisa Locke, Mary E. H |
| description | Compositional analysis is a requisite component of the substantial equivalence framework utilized to assess genetically modified (GM) crop safety. Statistical differences in composition data between GM and non-GM crops require a context in which to determine biological relevance. This context is provided by surveying the natural variation of key nutrient and antinutrient levels within the crop population with a history of safe use. Data accumulated from various genotypes with a history of safe use cultivated in relevant commercial crop-growing environments over multiple seasons are discussed as the appropriate data representative of this natural variation. A model-based parametric tolerance interval approach, which accounts for the correlated and unbalanced data structure of cumulative historical data collected from multisite field studies conducted over multiple seasons, is presented. This paper promotes the application of this tolerance interval approach to generate reference ranges for evaluation of the biological relevance of statistical differences identified during substantial equivalence assessment of a GM crop. |
| doi_str_mv | 10.1021/jf502158q |
| format | Article |
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A model-based parametric tolerance interval approach, which accounts for the correlated and unbalanced data structure of cumulative historical data collected from multisite field studies conducted over multiple seasons, is presented. This paper promotes the application of this tolerance interval approach to generate reference ranges for evaluation of the biological relevance of statistical differences identified during substantial equivalence assessment of a GM crop.</description><subject>Argentina</subject><subject>Canada</subject><subject>Chile</subject><subject>Crops, Agricultural</subject><subject>Data Interpretation, Statistical</subject><subject>Food Safety</subject><subject>Linear Models</subject><subject>Models, Theoretical</subject><subject>Plants, Genetically Modified</subject><subject>Seeds - chemistry</subject><subject>Seeds - genetics</subject><subject>Soil</subject><subject>United States</subject><subject>Zea mays</subject><issn>0021-8561</issn><issn>1520-5118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>N~.</sourceid><sourceid>EIF</sourceid><recordid>eNptkc1u2zAQhImiQeKmOfQFCl4KtAelpGjqpzdX-TPgoockZ4GilgANSpS5VIC8UJ4zdJzklNMAsx9mdzGEfOPsnLOc_94amURWu09kwWXOMsl59ZksWHKzShb8hHxB3DLGKlmyY3KSJ6hiolqQp3--B5f9VQg9vfMOgho10PUYITwoh_QCgn1IMxP8QJt5mJ2KyaA3FqMPVitHGz9MHm20fqQXKqo_dDVNLo1eHOMDvZ07jGqMNtGXu9mmZNivWSEC4gBjpN5QRa9hhLjPdI80HWaNTZub4Kev5Mika-DsVU_J_dXlXXOTbf5fr5vVJlNLXsRM9IXSGsBIsTTLousKyXgtDXSyL3MmQAtQOhey1iCULIXJa72saq5ZCbXsxCn5ecidgt_NgLEdLGpwTo3gZ2x5wWrJyqIsEvrrgOrgEQOYdgp2UOGx5azd19K-15LY76-xczdA_06-9ZCAHwdAaWy3fg5j-vKDoGcPO5eN</recordid><startdate>20141008</startdate><enddate>20141008</enddate><creator>Hong, Bonnie</creator><creator>Fisher, Tracey L</creator><creator>Sult, Theresa S</creator><creator>Maxwell, Carl A</creator><creator>Mickelson, James A</creator><creator>Kishino, Hirohisa</creator><creator>Locke, Mary E. 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| ispartof | Journal of agricultural and food chemistry, 2014-10, Vol.62 (40), p.9916-9926 |
| issn | 0021-8561 1520-5118 |
| language | eng |
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| source | MEDLINE; American Chemical Society Journals |
| subjects | Argentina Canada Chile Crops, Agricultural Data Interpretation, Statistical Food Safety Linear Models Models, Theoretical Plants, Genetically Modified Seeds - chemistry Seeds - genetics Soil United States Zea mays |
| title | Model-Based Tolerance Intervals Derived from Cumulative Historical Composition Data: Application for Substantial Equivalence Assessment of a Genetically Modified Crop |
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