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Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice

Wheat farming provides 28.5% of global cereal production. After steady growth in average crop yield from 1950 to 1990, wheat yields have generally stagnated, which prompts the question of whether further improvements are possible. Statistical studies of agronomic parameters such as crop yield have s...

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Autores principales: Mitchell, Emily G., Crout, Neil M. J., Wilson, Paul, Wood, Andrew T. A., Stupfler, Gilles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211843/
https://www.ncbi.nlm.nih.gov/pubmed/32431880
http://dx.doi.org/10.1098/rsos.191919
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author Mitchell, Emily G.
Crout, Neil M. J.
Wilson, Paul
Wood, Andrew T. A.
Stupfler, Gilles
author_facet Mitchell, Emily G.
Crout, Neil M. J.
Wilson, Paul
Wood, Andrew T. A.
Stupfler, Gilles
author_sort Mitchell, Emily G.
collection PubMed
description Wheat farming provides 28.5% of global cereal production. After steady growth in average crop yield from 1950 to 1990, wheat yields have generally stagnated, which prompts the question of whether further improvements are possible. Statistical studies of agronomic parameters such as crop yield have so far exclusively focused on estimating parameters describing the whole of the data, rather than the highest yields specifically. These indicators include the mean or median yield of a crop, or finding the combinations of agronomic traits that are correlated with increasing average yields. In this paper, we take an alternative approach and consider high yields only. We carry out an extreme value analysis of winter wheat yield data collected in England and Wales between 2006 and 2015. This analysis suggests that, under current climate and growing conditions, there is indeed a finite upper bound for winter wheat yield, whose value we estimate to be 17.60 tonnes per hectare. We then refine the analysis for strata defined by either location or level of use of agricultural inputs. We find that there is no statistical evidence for variation of maximal yield depending on location, and neither is there statistical evidence that maximum yield levels are improved by high levels of crop protection and fertilizer use.
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spelling pubmed-72118432020-05-19 Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice Mitchell, Emily G. Crout, Neil M. J. Wilson, Paul Wood, Andrew T. A. Stupfler, Gilles R Soc Open Sci Mathematics Wheat farming provides 28.5% of global cereal production. After steady growth in average crop yield from 1950 to 1990, wheat yields have generally stagnated, which prompts the question of whether further improvements are possible. Statistical studies of agronomic parameters such as crop yield have so far exclusively focused on estimating parameters describing the whole of the data, rather than the highest yields specifically. These indicators include the mean or median yield of a crop, or finding the combinations of agronomic traits that are correlated with increasing average yields. In this paper, we take an alternative approach and consider high yields only. We carry out an extreme value analysis of winter wheat yield data collected in England and Wales between 2006 and 2015. This analysis suggests that, under current climate and growing conditions, there is indeed a finite upper bound for winter wheat yield, whose value we estimate to be 17.60 tonnes per hectare. We then refine the analysis for strata defined by either location or level of use of agricultural inputs. We find that there is no statistical evidence for variation of maximal yield depending on location, and neither is there statistical evidence that maximum yield levels are improved by high levels of crop protection and fertilizer use. The Royal Society 2020-04-22 /pmc/articles/PMC7211843/ /pubmed/32431880 http://dx.doi.org/10.1098/rsos.191919 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Mitchell, Emily G.
Crout, Neil M. J.
Wilson, Paul
Wood, Andrew T. A.
Stupfler, Gilles
Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice
title Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice
title_full Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice
title_fullStr Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice
title_full_unstemmed Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice
title_short Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice
title_sort operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211843/
https://www.ncbi.nlm.nih.gov/pubmed/32431880
http://dx.doi.org/10.1098/rsos.191919
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