Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States
Illinois Department of Natural Resources · University of Illinois Urbana-Champaign · +2 more institutions
Abstract
Increasing drought and extreme rainfall are major threats to maize production in the United States. However, compared to drought impact, the impact of excessive rainfall on crop yield remains unresolved. Here, we present observational evidence from crop yield and insurance data that excessive rainfall can reduce maize yield up to -34% (-17 ± 3% on average) in the United States relative to the expected yield from the long-term trend, comparable to the up to -37% loss by extreme drought (-32 ± 2% on average) from 1981 to 2016. Drought consistently decreases maize yield due to water deficiency and concurrent heat, with greater yield loss for rainfed maize in wetter areas. Excessive rainfall can have either…
Citation impact
- FWCI
- 83.12
- Percentile
- 100%
- References
- 59
Authors
5- YLYan LiCorresponding
Illinois Department of Natural Resources, University of Illinois Urbana-Champaign, Beijing Normal University
- KGKaiyu GuanCorresponding
Illinois Department of Natural Resources, University of Illinois Urbana-Champaign, National Center for Supercomputing Applications
- GSGary Schnitkey
University of Illinois Urbana-Champaign
- EHEvan H. DeLucia
University of Illinois Urbana-Champaign
- BPBin Peng
Illinois Department of Natural Resources, University of Illinois Urbana-Champaign, National Center for Supercomputing Applications
Topics & keywords
- Yield (engineering)
- Environmental science
- Crop yield
- Crop
- Agronomy
- Yield gap
- Soil water
- Crop insurance
Funding
- UDU.S. Department of EnergyAwards: DE-SC0018420, SC0018420
- UDU.S. Department of AgricultureAwards: 2017-67013-26253, 2017-68002-26789
- SKState Key Laboratory of Earth Surface Processes and Resource Ecology
- NINational Institute of Food and AgricultureAwards: 2017‐68002‐26789, 2017-67013, 2017-67013-26253, 2017‐67013‐26253, -68002-26789, 2017-68002-26789, 2017-67003-28703, 2017‐67003‐28703
- OOOffice of ScienceAward: DE-SC0018420
- BABiological and Environmental ResearchAwards: DE‐SC0018420, DE-SC0018420