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Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA
Production risk has been ignored in most of the analysis of GM technology, which has mostly focused on its effects on mean yield. We use stochastic dominance to quantify the effect of GM traits on the entire distribution of yields in corn in the USA under a wide range of growing conditions. Although...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786559/ https://www.ncbi.nlm.nih.gov/pubmed/31600219 http://dx.doi.org/10.1371/journal.pone.0222156 |
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author | Nolan, Elizabeth Santos, Paulo |
author_facet | Nolan, Elizabeth Santos, Paulo |
author_sort | Nolan, Elizabeth |
collection | PubMed |
description | Production risk has been ignored in most of the analysis of GM technology, which has mostly focused on its effects on mean yield. We use stochastic dominance to quantify the effect of GM traits on the entire distribution of yields in corn in the USA under a wide range of growing conditions. Although no GM hybrid outperforms conventional hybrids under all growing conditions, we present evidence that most GM hybrids can be considered as improvements of the yield distribution. |
format | Online Article Text |
id | pubmed-6786559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67865592019-10-19 Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA Nolan, Elizabeth Santos, Paulo PLoS One Research Article Production risk has been ignored in most of the analysis of GM technology, which has mostly focused on its effects on mean yield. We use stochastic dominance to quantify the effect of GM traits on the entire distribution of yields in corn in the USA under a wide range of growing conditions. Although no GM hybrid outperforms conventional hybrids under all growing conditions, we present evidence that most GM hybrids can be considered as improvements of the yield distribution. Public Library of Science 2019-10-10 /pmc/articles/PMC6786559/ /pubmed/31600219 http://dx.doi.org/10.1371/journal.pone.0222156 Text en © 2019 Nolan, Santos http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Nolan, Elizabeth Santos, Paulo Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA |
title | Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA |
title_full | Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA |
title_fullStr | Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA |
title_full_unstemmed | Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA |
title_short | Genetic modification and yield risk: A stochastic dominance analysis of corn in the USA |
title_sort | genetic modification and yield risk: a stochastic dominance analysis of corn in the usa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786559/ https://www.ncbi.nlm.nih.gov/pubmed/31600219 http://dx.doi.org/10.1371/journal.pone.0222156 |
work_keys_str_mv | AT nolanelizabeth geneticmodificationandyieldriskastochasticdominanceanalysisofcornintheusa AT santospaulo geneticmodificationandyieldriskastochasticdominanceanalysisofcornintheusa |