Science - USA (2022-04-08)

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INSIGHTS | POLICY FORUM

GRAPHIC: K. FRANKLIN/

SCIENCE

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The USDA should establish a rigorous veri-
fication system to ensure that RWA claims
are truthful and accurate, or they should
cease approving these labels. For meaning-
ful verification, the USDA should conduct
or require continuous, on-site empirical test-
ing for antibiotics on a meaningful number
of animals from every lot delivered for pro-
cessing. For testing to be effective, the USDA
must move beyond maximum residue levels
and use sensitive, real-time technologies that
identify animals that have been treated with
antibiotics. Lots testing positive should be re-
routed and sold on the conventional market.
Positive lots should be tracked and published
on a public ledger. Repeat offenders should
be excluded from supplying animals for RWA
programs until they can demonstrate that
they have taken meaningful steps to elimi-
nate undisclosed antibiotic use.
To ensure that animal welfare is not pit-
ted against the financial welfare of produc-
ers, the USDA must eliminate the financial
disincentives for treating sick animals. We
recommend that the USDA create a fund
to compensate RWA producers for lost pre-
miums if they are periodically forced to ad-
minister antibiotics and segregate animals
from the RWA market. To offset expenses
of robust verification and animal-welfare
compensation, we recommend that the
USDA implement a RWA label user fee. This
should help ensure that these new costs are
passed to RWA producers, retailers, and

consumers of RWA products rather than
placing the burden on the general public.
Until the USDA acts, additional studies
such as ours could weaken confidence in
the RWA labels and decrease consumers’
willingness to pay for these products. Re-
tailers can limit these undesirable outcomes
by taking responsibility for the integrity of
the food they sell and implement a robust,
industry-wide standard that incorporates
empirical testing, strict enforcement, and
transparent administration.
Growing demand for RWA meats and
poultry has the potential to curb antibiotic
use in food-animal production; however,
the integrity of the USDA’s RWA labels is
being undermined by lax verification and
enforcement. Until either the USDA acts
to rigorously verify RWA claims or retail-
ers eliminate their own safe harbor of ig-
norance, consumers should not rely on the
accuracy of these labels. j

REFERENCES AND NOTES


  1. C. Dubois, A.M. Roerink, “Mid-Year Meat Department
    Performance Review, Animal Protein Reigns High Amid
    Pandemic; What’s Next?” IRI, June 2020; https://www.
    iriworldwide.com/IRI/media/Library/IRI-Mid-Year-
    Meat-Performance.pdf.

  2. N. D. Fortin, Credence Claims and Conditional Labeling
    in Food Regulation: Law, Science, Policy, and Practice
    (Wiley, ed. 2, 2017), chap. 6, pp. 107–115.

  3. E. T. Page, G. Short, S. Sneeringer, M. Bowman, “The
    Market for Chicken Raised Without Antibiotics,” 2012–
    17, EIB-224, US Department of Agriculture, Economic
    Research Service (September 2021).

  4. B. Holmstrom, Bell J. Econ. 10 , 74 (1979).

  5. M. Bowman, K. Marshall, F. Kuchler, L. Lynch,
    Am. J.Agric. Econ. 98 , 622 (2016).

  6. USDA, “Food Safety and Inspection Service labeling
    guideline on documentation needed to substantiate
    animal raising claims for label submissions, December
    2019”; https://www.fsis.usda.gov/sites/default/files/
    media_file/2021-02/RaisingClaims.pdf.

  7. USDA, “Residue Sampling Plan: Fiscal Year 2020 Blue
    Book,” December 2019; https://www.fsis.usda.gov/
    node/1982.

  8. Global Animal Partnership, “Our Standards”; https://
    globalanimalpartnership.org/standards/.

  9. USDA, “Organic Livestock Requirements,” July 2013;
    https://www.ams.usda.gov/sites/default/files/media/
    Organic%20Livestock%20Requirements.pdf.

  10. C. D. Reinhardt, M. E. Hubbert, Appl. Anim. Sci. 31 , 101
    (2013).

  11. R. Singer et al., Front. Vet. Sci. 6 , 452 (2019).

  12. United States Court of Appeals for the Ninth Circuit,
    “Robert Cohen, a consumer, on behalf of himself
    and all others similarly situated, Plaintiff-Appellant,
    v. Conagra Brands, Inc., a Delaware corporation”
    (2021); https://cdn.ca9.uscourts.gov/datastore/opin-
    ions/2021/10/26/20-55969.pdf.

  13. United States Court of Appeals for the Ninth Circuit,
    Robert Cohen, Plaintiff-Appellant, v. Conagra Brands,
    Inc., Defendant-Appellee, Appellee’s Answering Brief
    (2021); https://www.law360.com/dockets/documents
    /602ea2afef2b439ca7120489.

  14. M. Ollinger, J. Bovay, Am. J. Agric. Econ. 102 , 186 (2020).

  15. S. A. Starbird, Am. J. Agric. Econ. 87 , 15 (2005).


ACKNOWLEDGMENTS
We thank M. Ollinger and T. Roberts for reviewing the manu-
script and for providing valuable insights. We also thank S.
Levitan for data visualization, manuscript review, and editing.
Antibiotic testing was funded by Food In-Depth Inc. All data,
except for the identities of the feedyards and processing
plant, are available in the supplementary materials.

SUPPLEMENTARY MATERIALS
science.org/doi/10.1126/science.abj1823
10.1126/science.abj1823

A
AA
AB
AC
AD
AE
AF
AG
B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Feedyard

One Lot

No positive tests One positive test All positive tests

No positive tests
85% of cattle

One positive test
10% of cattle

All positive tests
5% of cattle

Average lot size:
122 cattle

Average number
tested from each lot:
2

Total animals
tested:
699

Total animals
from all lots:
38,219

Raised with antibiotics
(Right) Antibiotic testing results for 312 lots of cattle
from 33 feedyards. Each box represents a single lot
in sequential testing order. (Below) Percentage of 38,219
cattle coming from lots in which zero tests were
positive, one test was positive, or all tests were positive.
See supplementary materials for details and data.

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