Assessing the natural variability in crop composition

Harrigan, George G.; Glenn, Kevin C.; Ridley, William P.

doi:10.1016/j.yrtph.2010.08.023

Cited by 35Genetically Modified Organisms ResearchFood and Agricultural SciencesAgricultural safety and regulations

Assessing the natural variability in crop composition

Harrigan, George G., Glenn, Kevin C., Ridley, William P.·2010·Regulatory Toxicology and Pharmacology

DOI 10.1016/j.yrtph.2010.08.023

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Abstract

The number of evaluations of the nutrient composition of food and feed crops has increased over the past 15years due to the introduction of new crops using the tools of modern biotechnology. The composition of these crops has been extensively compared with conventional (non-transgenic) controls as an integral part of the comparative safety assessment process. Following guidelines outlined in the Organization of Economic Co-operation and Development (OECD) Consensus Documents, most of these studies have incorporated field trials at multiple geographies and a diverse range of commercially available varieties/hybrids that are analyzed to understand natural variability in composition due to genetic and environmental influences. Using studies conducted in the US, Argentina and Brazil over multiple growing seasons, this report documents the effect of geography, growing season, and genetic background on soybean composition where fatty acids and isoflavones were shown to be particularly variable. A separate investigation of 96 different maize hybrids grown at three locations in the US demonstrated that levels of free amino acids, sugars/polyols, and molecules associated with stress response can vary to a greater degree than that observed for more abundant components. The International Life Sciences Institute (ILSI) crop composition database has proven to be an important resource for collecting and disseminating nutrient composition data to promote a further understanding of the variability that occurs naturally in crops used for food and feed.

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Geography, climate, and seasonal environmental conditions influence levels of endogenous plant constituents.
“Since geography, climate, and seasonal environmental conditions influence levels of endogenous plant constituents (Harrigan et al., 2010), it is essential that the primary comparator and the GM crop be grown in the same growing season and location with the same management conditions.”
From The use of whole food animal studies in the safety assessment of genetically modified crops: Limitations and recommendations (2013) · cites this paper as Harrigan et al., 2010

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“Since geography, climate, and seasonal environmental conditions influence levels of endogenous plant constituents (Harrigan et al., 2010), it is essential that the primary comparator and the GM crop be grown in the same growing season and location with the same management conditions.”
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Authors: Harrigan, G. G., Glenn, K. C., & Ridley, W. P.
Affiliations: Monsanto (United States) (US)
Corresponding author: Ridley, William P.
ORCID: Glenn, Kevin C.
Venue: Regulatory Toxicology and Pharmacology
Publisher: Elsevier BV
Published: 2010-12
Volume: 58
Issue: 3
Pages: S13-S20
ISSN: 0273-2300 (ISSN-L)
DOI: 10.1016/j.yrtph.2010.08.023
OpenAlex: W2008014920
Cited by: 35
References: 36
Citations by year: 2024: 1 · 2022: 3 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 3 · 2015: 4 · 2014: 3 · 2013: 7 · 2012: 4
FWCI: 5.75
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Regulatory Toxicology and Pharmacology (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetically Modified Organisms Research
Life Sciences › Agricultural and Biological Sciences › Food Science › Food and Agricultural Sciences
Life Sciences › Agricultural and Biological Sciences › Food Science › Agricultural safety and regulations
Keywords: crop composition, natural variation, genetically modified crops, soybean, maize hybrids, fatty acids, isoflavones, free amino acids, genetic background, environmental effects, regional variation, growing season effects
MeSH terms: Animals, Animal Feed, Biotechnology, Zea mays, Food Analysis, Humans, Nutritive Value, Glycine max, Databases, Factual, Guidelines as Topic, Crops, Agricultural

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Assessing the natural variability in crop composition

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