Climate-induced reduction in US-wide soybean yields underpinned by region- and in-season-specific responses View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-02-02

AUTHORS

Spyridon Mourtzinis, James E. Specht, Laura E. Lindsey, William J. Wiebold, Jeremy Ross, Emerson D. Nafziger, Herman J. Kandel, Nathan Mueller, Philip L. Devillez, Francisco J. Arriaga, Shawn P. Conley

ABSTRACT

The United States is one of the largest soybean exporters in the world. Production is concentrated in the upper Midwest1. Much of this region is not irrigated, rendering soybean production systems in the area highly sensitive to in-season variations in weather. Although the influence of in-season weather trends on the yields of crops such as soybean, wheat and maize has been explored in several countries2–6, the potentially confounding influence of genetic improvements on yields has been overlooked. Here we assess the effect of in-season weather trends on soybean yields in the United States between 1994 and 2013, using field trial data, meteorological data and information on crop management practices, including the adoption of new cultivars. We show that in-season temperature trends had a greater impact on soybean yields than in-season precipitation trends over the measurement period. Averaging across the United States, we show that soybean yields fell by around 2.4% for every 1 °C rise in growing season temperature. However, the response varied significantly among individual states, ranging from −22% to +9%, and also with the month of the year in which the warming occurred. We estimate that year-to-year changes in precipitation and temperature combined suppressed the US average yield gain by around 30% over the measurement period, leading to a loss of US$11 billion. Our data highlight the importance of developing location-specific adaptation strategies for climate change based on early-, mid- and late-growing season climate trends. More... »

PAGES

14026

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nplants.2014.26

DOI

http://dx.doi.org/10.1038/nplants.2014.26

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014092870

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27246761


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