Literature DB >> 19699543

Compositional assessment of transgenic crops: an idea whose time has passed.

Rod A Herman1, Bruce M Chassy, Wayne Parrott.   

Abstract

Compositional studies comparing transgenic crops with non-transgenic crops are almost universally required by governmental regulatory bodies to support the safety assessment of new transgenic crops. Here we discuss the assumptions that led to this requirement and lay out the theoretical and empirical evidence suggesting that such studies are no more necessary for evaluating the safety of transgenic crops than they are for traditionally bred crops.

Mesh:

Year:  2009        PMID: 19699543     DOI: 10.1016/j.tibtech.2009.07.003

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  11 in total

1.  Assessing the ecological risks from the persistence and spread of feral populations of insect-resistant transgenic maize.

Authors:  Alan Raybould; Laura S Higgins; Michael J Horak; Raymond J Layton; Nicholas P Storer; Juan Manuel De La Fuente; Rod A Herman
Journal:  Transgenic Res       Date:  2011-10-15       Impact factor: 2.788

2.  Comparative evaluation of nutritional compositions between transgenic rice harboring the CaMsrB2 gene and the conventional counterpart.

Authors:  Yong-Hwa Cho; Pradeep Puligundla; Sung-Dug Oh; Hyang-Mi Park; Kyung-Min Kim; Si-Myung Lee; Tae-Hun Ryu; Young-Tack Lee
Journal:  Food Sci Biotechnol       Date:  2016-02-29       Impact factor: 2.391

3.  Ending event-based regulation of GMO crops.

Authors:  Steven H Strauss; Joanna K Sax
Journal:  Nat Biotechnol       Date:  2016-05-06       Impact factor: 54.908

4.  Non-target organism effects tests on Vip3A and their application to the ecological risk assessment for cultivation of MIR162 maize.

Authors:  Alan Raybould; Demetra Vlachos
Journal:  Transgenic Res       Date:  2010-09-14       Impact factor: 2.788

5.  Genetically modified crops and aquatic ecosystems: considerations for environmental risk assessment and non-target organism testing.

Authors:  Keri Carstens; Jennifer Anderson; Pamela Bachman; Adinda De Schrijver; Galen Dively; Brian Federici; Mick Hamer; Marco Gielkens; Peter Jensen; William Lamp; Stefan Rauschen; Geoff Ridley; Jörg Romeis; Annabel Waggoner
Journal:  Transgenic Res       Date:  2011-11-26       Impact factor: 2.788

6.  Recommendations from the workshop on Comparative Approaches to Safety Assessment of GM Plant Materials: A road toward harmonized criteria?

Authors:  Andrew Bartholomaeus; Juan Carlos Batista; Moisés Burachik; Wayne Parrott
Journal:  GM Crops Food       Date:  2015       Impact factor: 3.074

7.  Composition of forage and grain from genetically modified DP202216 maize is equivalent to non-modified conventional maize (Zea mays L.).

Authors:  Jennifer A Anderson; Bonnie Hong; Emily Moellring; Sarah TeRonde; Carl Walker; Yiwei Wang; Carl Maxwell
Journal:  GM Crops Food       Date:  2019-05-16       Impact factor: 3.074

Review 8.  Hypothesis-based food, feed, and environmental safety assessment of GM crops: A case study using maize event DP-202216-6.

Authors:  Jennifer A Anderson; Rod A Herman; Anne Carlson; Carey Mathesius; Carl Maxwell; Henry Mirsky; Jason Roper; Brenda Smith; Carl Walker; Jingrui Wu
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.074

Review 9.  Genetically engineered trees for plantation forests: key considerations for environmental risk assessment.

Authors:  Hely Häggman; Alan Raybould; Aluizio Borem; Thomas Fox; Levis Handley; Magnus Hertzberg; Meng-Zu Lu; Philip Macdonald; Taichi Oguchi; Giancarlo Pasquali; Les Pearson; Gary Peter; Hector Quemada; Armand Séguin; Kylie Tattersall; Eugênio Ulian; Christian Walter; Morven McLean
Journal:  Plant Biotechnol J       Date:  2013-08-05       Impact factor: 9.803

Review 10.  Enhancing Integrated Pest Management in GM Cotton Systems Using Host Plant Resistance.

Authors:  Carlos Trapero; Iain W Wilson; Warwick N Stiller; Lewis J Wilson
Journal:  Front Plant Sci       Date:  2016-04-22       Impact factor: 5.753

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