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


ABSTRACT: 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.

SUBMITTER: Mitchell EG 

PROVIDER: S-EPMC7211843 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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

Mitchell Emily G EG   Crout Neil M J NMJ   Wilson Paul P   Wood Andrew T A ATA   Stupfler Gilles G  

Royal Society open science 20200422 4


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 findin  ...[more]

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