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      Water productivity of rainfed maize and wheat: A local to global perspective

      research-article
      a , * , b , c , a , d , d , a
      Agricultural and Forest Meteorology
      Elsevier Science Publishers B.V
      CZ(s), climate zone(s), Es:ETw, proportion of ETw evaporated from the soil during the crop cycle, ETw, seasonal water-limited potential crop evapotranspiration (mm), ETwPOSTFETw, proportion of ETw after flowering, ETo, reference grass-based evapotranspiration during the crop cycle (mm), VPD, daytime vapor pressure deficit (kPa), WP, water productivity (kg ha−1 mm-1), WPa, actual on-farm water productivity (kg ha−1 mm-1), WPg, water productivity gap (kg ha−1 mm-1), WPw, water-limited potential water productivity for rainfed crops (kg ha−1 mm-1), Ya, actual on-farm yield (Mg ha-1), Yw, water-limited yield potential (Mg ha-1), Water productivity, Yield, Wheat, Maize, Management, Spatial framework

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          Graphical abstract

          Highlights

          • Rainfed maize and wheat water productivity (WP) was assessed at local to regional scale.

          • Water-limited potential WP varied across regions with different climate and soil.

          • Average WP gap was 47% (maize) and 51% (wheat) of potential WP across regions.

          • Variation in potential WP across regions warns against use of fixed WP benchmarks.

          • Non-water related factors were usually more limiting for yield than water supply.

          Abstract

          Water productivity (WP) is a robust benchmark for crop production in relation to available water supply across spatial scales. Quantifying water-limited potential (WPw) and actual on-farm (WPa) WP to estimate WP gaps is an essential first step to identify the most sensitive factors influencing production capacity with limited water supply. This study combines local weather, soil, and agronomic data, and crop modeling in a spatial framework to determine WPw and WPa at local and regional levels for rainfed cropping systems in 17 (maize) and 18 (wheat) major grain-producing countries representing a wide range of cropping systems, from intensive, high-yield maize in north America and wheat in west Europe to low-input, low-yield maize systems in sub-Saharan Africa and south Asia. WP was calculated as the quotient of either water-limited yield potential or actual yield, and simulated crop evapotranspiration. Estimated WPw upper limits compared well with maximum WP reported for field-grown crops. However, there was large WPw variation across regions with different climate and soil (CV = 29% for maize and 27% for wheat), which cautions against the use of generic WPw benchmarks and highlights the need for region-specific WPw. Differences in simulated evaporative demand, crop evapotranspiration after flowering, soil evaporation, and intensity of water stress around flowering collectively explained two thirds of the variation in WPw. Average WP gaps were 13 (maize) and 10 (wheat) kg ha −1 mm −1, equivalent to about half of their respective WPw. We found that non-water related factors ( i.e., management deficiencies, biotic and abiotic stresses, and their interactions) constrained yield more than water supply in ca. half of the regions. These findings highlight the opportunity to produce more food with same amount of water, provided limiting factors other than water supply can be identified and alleviated with improved management practices. Our study provides a consistent protocol for estimating WP at local to regional scale, which can be used to understand WP gaps and their mitigation.

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          Most cited references60

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          The DSSAT cropping system model

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            An overview of APSIM, a model designed for farming systems simulation

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              The Status of the Tropical Rainfall Measuring Mission (TRMM) after Two Years in Orbit

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                Author and article information

                Contributors
                Journal
                Agric For Meteorol
                Agric For Meteorol
                Agricultural and Forest Meteorology
                Elsevier Science Publishers B.V
                0168-1923
                1873-2240
                15 September 2018
                15 September 2018
                : 259
                : 364-373
                Affiliations
                [a ]Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583-0915, USA
                [b ]AgroParisTech, UMR Agronomie AgroParisTech INRA Université Paris-Saclay, F-78850, Thiverval-Grignon, France
                [c ]South Australian Research and Development Institute, Australia
                [d ]Plant Production Systems Group, Wageningen University, P.O. Box 430, 6700 AK, Wageningen, The Netherlands
                Author notes
                [* ]Corresponding author. rattalino@ 123456unl.edu
                Article
                S0168-1923(18)30177-1
                10.1016/j.agrformet.2018.05.019
                6018065
                30224833
                0886ba7b-807a-46cb-aaa2-77d0b4c6bcf6
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 December 2017
                : 22 May 2018
                : 27 May 2018
                Categories
                Article

                cz(s), climate zone(s),es:etw, proportion of etw evaporated from the soil during the crop cycle,etw, seasonal water-limited potential crop evapotranspiration (mm),etwpostfetw, proportion of etw after flowering,eto, reference grass-based evapotranspiration during the crop cycle (mm),vpd, daytime vapor pressure deficit (kpa),wp, water productivity (kg ha−1 mm-1),wpa, actual on-farm water productivity (kg ha−1 mm-1),wpg, water productivity gap (kg ha−1 mm-1),wpw, water-limited potential water productivity for rainfed crops (kg ha−1 mm-1),ya, actual on-farm yield (mg ha-1),yw, water-limited yield potential (mg ha-1),water productivity,yield,wheat,maize,management,spatial framework

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