Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nolan, Elizabeth, Santos, Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
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
_version_ 1783458086451675136
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