Evaluating a Risk-Based Sampling Inspection Programme on Mexican Produce Imported on Trucks to the United States of America

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This preprint evaluates a risk-based sampling (RBS) inspection programme with dynamic inspection frequencies for Mexican produce imported by truck through U.S. land border ports, covering avocado, celery, papaya, and broccoli+cauliflower, with some commodities managed by region (Texas vs. Arizona/California). Using a real-world trial from September 2018 to December 2020, the authors compared pest action rates, inspection rates, and leakage rates (acceptance of infested lots) before vs. during the RBS period, and estimated monthly time savings. Mean pest action rates were unchanged for three commodity-region combinations but increased significantly in three of the other four; inspection rates were very low for avocado and papaya and more variable for celery and broccoli+cauliflower, while leakage rates remained universally low (up to 0.7%). A major limitation stated is that this is a preprint not peer reviewed by a journal, and mean annual total inspection times increased by 21% for celery due to hypergeometric sampling effects despite overall 28% time savings across commodities. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract We evaluated a risk-based sampling (RBS) inspection programme in a real-world trial with dynamic inspection frequencies on Mexican produce imported by truck through land border ports. The commodities were avocado, celery, papaya, and broccoli+cauliflower (combined). Some commodities were managed by region (Texas, or Arizona/California). Results were from September, 2018, to December, 2020, with trial lengths of either 27 (avocado and celery) or 19 months (others). Pest action rates, inspection rates, and leakage rates (acceptance of infested lots) were compared before and during the trial, and we estimated monthly time savings with RBS. Mean action rates were unchanged for three commodity-region combinations but increased significantly in three of the other four combinations. Inspection rates were consistently very low for avocado and papaya but were more variable for broccoli+cauliflower and celery. Estimated leakage rates were similar before and during the trial but were universally low (0.7 percent at most). Mean annual total inspection times increased by 21 percent for celery because reductions did not offset increases due to hypergeometric sampling, but over all commodities RBS gave 28 percent savings. This reduced-frequency RBS programme seemed well suited to broader application to improve the efficiency and effectiveness of agricultural safeguarding for imported fruits and vegetables.
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Evaluating a Risk-Based Sampling Inspection Programme on Mexican Produce Imported on Trucks to the United States of America | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Evaluating a Risk-Based Sampling Inspection Programme on Mexican Produce Imported on Trucks to the United States of America Barney Caton, Scott Blackwood, Bruce Cheong, Ernie Hain, Darlene Judd, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6975800/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract We evaluated a risk-based sampling (RBS) inspection programme in a real-world trial with dynamic inspection frequencies on Mexican produce imported by truck through land border ports. The commodities were avocado, celery, papaya, and broccoli+cauliflower (combined). Some commodities were managed by region (Texas, or Arizona/California). Results were from September, 2018, to December, 2020, with trial lengths of either 27 (avocado and celery) or 19 months (others). Pest action rates, inspection rates, and leakage rates (acceptance of infested lots) were compared before and during the trial, and we estimated monthly time savings with RBS. Mean action rates were unchanged for three commodity-region combinations but increased significantly in three of the other four combinations. Inspection rates were consistently very low for avocado and papaya but were more variable for broccoli+cauliflower and celery. Estimated leakage rates were similar before and during the trial but were universally low (0.7 percent at most). Mean annual total inspection times increased by 21 percent for celery because reductions did not offset increases due to hypergeometric sampling, but over all commodities RBS gave 28 percent savings. This reduced-frequency RBS programme seemed well suited to broader application to improve the efficiency and effectiveness of agricultural safeguarding for imported fruits and vegetables. Applied Statistics Other Public Policy invasive pests Introduction Pathway Skip-lot sampling Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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