Minimum cost acceptance sampling plans for grain control, with application to GMO detection

Kobilinsky, André; Bertheau, Yves

doi:10.1016/j.chemolab.2004.07.005

Cited by 40 publications

(20 citation statements)

References 5 publications

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“…But the batch size is very close to the one recommended by GIPSA in testing seeds for GMO which is 400 seeds [25].…”

Section: Application Of the Modelmentioning

confidence: 88%

“…However, the MSE of the estimate did not exhibit a simple kind of relationship between k and X. Example 3 In the control of GMO seeds in commercial seeds, Grain Inspection, Packers and Stockyards Administration (GIPSA) recommends acceptance sampling plans using control by attributes and has been adopted by several seed producers and grain exporters [25]. The sampling plan was designed such that the producer's and consumer's risks are minimized.…”

Section: Example 2 (Hypothetical Situation)mentioning

confidence: 99%

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Estimation of Proportion of a Trait by Batch Testing Model in a Quality Control Process

Wanyonyi¹

2015

AJTAS

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Batch testing involves testing items in a group rather than testing the items individually for resource saving purposes. Estimation of proportion of a trait of interest using batch testing model insulates individuals of a population against stigma. In this paper, an estimator of the unknown proportion of a trait in batch testing model based on a quality control process is constructed and its properties discussed. In quality control, a batch is rejected if constituent defective members are greater than l, the cut off value. It is observed that if l = 0, then the obvious batch testing strategy is obtained. Hence when l > 0, the batch testing strategy is generalized. The proposed model is superior to the existing models when the proportion of a trait is relatively high. The application of the model on Genetically Modified Organisms contamination is carried out.

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“…But the batch size is very close to the one recommended by GIPSA in testing seeds for GMO which is 400 seeds [25].…”

Section: Application Of the Modelmentioning

confidence: 88%

Section: Example 2 (Hypothetical Situation)mentioning

confidence: 99%

Estimation of Proportion of a Trait by Batch Testing Model in a Quality Control Process

Wanyonyi¹

2015

AJTAS

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“…The number of positive/negative results determines if the threshold is passed or not. This approach is commonly used for the categorisation of seed lots (Remund et al 2001;Kobilinsky and Bertheau 2005); however, its application is not straightforward because it requires the analyses of many replicates for each sample. Therefore, it is not indicated when multiple targets have to be investigated.…”

Section: Discussionmentioning

confidence: 99%

Semi-Quantification of GM Maize Using Ready-To-Use RTi-PCR Plates

et al. 2016

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European Union (EU) legislation foresees that food and feed are labelled for their genetically modified organism (GMO) content when the ingredients contain authorised GMOs in a proportion higher than 0.9 %. Non-authorised GMOs are not allowed on the EU market. Exception is made for feed materials containing traces of GM events lawfully placed on the market in non-EU countries and for which an authorisation is pending in the EU or expired: in these cases, a minimum required performance limit (MRPL) of 0.1 % is applied. Considering that the number of GMOs placed on the EU market is constantly growing, laboratories need to expand their capacity accordingly to be able to identify and, if necessary, quantify any GM material. To this purpose, our laboratory had previously developed a multi-target ready-touse system, also known as a pre-spotted plate (PSP), which allows the qualitative detection of up to 44 GM events in one single real-time (RTi) PCR experiment. Should any event be detected, the laboratory would proceed with its quantification. This study evaluates the possibility to use the data generated by the PSP system in a semi-quantitative manner, allowing a categorisation of the GM quantity in the sample. ΔCq values were calculated and modelled via linear regression to estimate limits indicating whether the GM content is (1) above, (2) below or (3) near a defined quantity and thus requires further quantification. Identifying the GM events present in a sample and simultaneously discriminating whether it needs or not further quantification would offer to testing laboratories a valuable gain in time and resources. Six maize GM events frequently found in food and feed were selected for this evaluation (Bt11, MON810, MON88017, MON89034, NK603 and TC1507). The feasibility of the approach was successfully verified in-house using spiked and proficiency test samples.

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“…The issues of the cost of real-time PCR based systems, which are the standard reference method for transgene detection, when used for routine field-based applications have been addressed in grain crops already through efficient sampling strategies [27][28][29] and through the development of other diagnostic tools such as semi-quantitative enzyme-linked immunosorbent assay (ELISA) (e.g., [29]) which have also been used to detect the presence of the CP4 EPSPS gene in GM bentgrass [30] and alfalfa [10], and through the use of plasmid DNA for the calibrated detection of specific transgenic events (e.g., [31,32]. More recently novel DNA amplification techniques such as recombinase polymerase amplification (RPA) for the rapid point-of-use screening of transgenic soybean seeds [33] have been developed.…”

Section: Detection Of Transgenes In Forages and Related Agricultural mentioning

confidence: 99%

Considerations for Managing Agricultural Co-Existence between Transgenic and Non-Transgenic Cultivars of Outcrossing Perennial Forage Plants in Dairy Pastures

Smith

Spangenberg

2016

Agronomy

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Many of the major forage species used in agriculture are outcrossing and rely on the exchange of pollen between individuals for reproduction; this includes the major species used for dairy production in grazing systems: perennial ryegrass (Lolium perenne L.) and white clover (Trifolium repens L.). Cultivars of these species have been co-existing since contrasting cultivars were developed using plant breeding, but the consequences and need for strategies to manage co-existence have been made more prominent with the advent of genetic modification. Recent technological developments have seen the experimental evaluation of genetically modified (GM) white clover and perennial ryegrass, although there is no current commercial growing of GM cultivars of these species. Co-existence frameworks already exist for two major cross-pollinated grain crops (canola and maize) in Europe, and for alfalfa (Medicago sativa L.) in the US, so many of the principles that the industry has developed for co-existence in these crops such as detection techniques, segregation, and agronomic management provide lessons and guidelines for outcrossing forage species, that are discussed in this paper.

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Minimum cost acceptance sampling plans for grain control, with application to GMO detection

Cited by 40 publications

References 5 publications

Estimation of Proportion of a Trait by Batch Testing Model in a Quality Control Process

Estimation of Proportion of a Trait by Batch Testing Model in a Quality Control Process

Semi-Quantification of GM Maize Using Ready-To-Use RTi-PCR Plates

Considerations for Managing Agricultural Co-Existence between Transgenic and Non-Transgenic Cultivars of Outcrossing Perennial Forage Plants in Dairy Pastures

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