| Literature DB >> 33623028 |
Xuhui Wang1, Christoph Müller2, Joshua Elliot3,4, Nathaniel D Mueller5,6, Philippe Ciais7,8, Jonas Jägermeyr3,4, James Gerber9, Patrice Dumas10, Chenzhi Wang7, Hui Yang7,8, Laurent Li11, Delphine Deryng12, Christian Folberth13, Wenfeng Liu14, David Makowski15, Stefan Olin16, Thomas A M Pugh16, Ashwan Reddy17, Erwin Schmid18, Sujong Jeong19, Feng Zhou7, Shilong Piao7,20,21.
Abstract
Irrigation is the largest sector of human water use and an important option for increasing crop production and reducing drought impacts. However, the potential for irrigation to contribute to global crop yields remains uncertain. Here, we quantify this contribution for wheat and maize at global scale by developing a Bayesian framework integrating empirical estimates and gridded global crop models on new maps of the relative difference between attainable rainfed and irrigated yield (ΔY). At global scale, ΔY is 34 ± 9% for wheat and 22 ± 13% for maize, with large spatial differences driven more by patterns of precipitation than that of evaporative demand. Comparing irrigation demands with renewable water supply, we find 30-47% of contemporary rainfed agriculture of wheat and maize cannot achieve yield gap closure utilizing current river discharge, unless more water diversion projects are set in place, putting into question the potential of irrigation to mitigate climate change impacts.Entities:
Year: 2021 PMID: 33623028 DOI: 10.1038/s41467-021-21498-5
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919