2020
DOI: 10.1016/j.agwat.2020.106095
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Does a trade-off between yield and efficiency reduce water and nitrogen inputs of winter wheat in the North China Plain?

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Cited by 18 publications
(11 citation statements)
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“…Past work has shown that APSIM reliably simulates manifold cropping systems, including paddy rice, wheat, chickpea, canola, cotton, maize, millet, mung bean, sorghum, and sunflower [7,[44][45][46][47]. The APSIM-Wheat model [48] has been successfully calibrated and validated in many parts of the world, including Australia [20,33,[49][50][51][52][53][54][55], China [40,[56][57][58][59][60], Ethiopia [61], Iran [62], and India [63]. APSIM-Wheat v7.10-r4158 was used to conduct all simulations in this study.…”
Section: Cropping System Modelling With the Agricultural Productions ...mentioning
confidence: 99%
“…Past work has shown that APSIM reliably simulates manifold cropping systems, including paddy rice, wheat, chickpea, canola, cotton, maize, millet, mung bean, sorghum, and sunflower [7,[44][45][46][47]. The APSIM-Wheat model [48] has been successfully calibrated and validated in many parts of the world, including Australia [20,33,[49][50][51][52][53][54][55], China [40,[56][57][58][59][60], Ethiopia [61], Iran [62], and India [63]. APSIM-Wheat v7.10-r4158 was used to conduct all simulations in this study.…”
Section: Cropping System Modelling With the Agricultural Productions ...mentioning
confidence: 99%
“…However, it is hardly to obtain reliable spatial distribution of surveyed yield for analysis or validation up to now. Accordingly, crop yield used in many papers are generally simulated using different models (Ai et al, 2020;Bai et al, 2020a;Jin et al, 2018;Wang et al, 2020b). As the complex processes of dry matter partitioning and yield formation for different crops are difficult to model, GPP could be a better indicator of crop carbon gain than NPP or grain yield.…”
Section: Limitations On Cropland Wp Estimation In Chinamentioning
confidence: 99%
“…Chen and Zhang, 2019;Fernández et al, 2020;Ma et al, 2021;Molden et al, 2003;Xue et al, 2021). Due to differences in crop varieties (genotypes), cropping patterns and systems, management practices and environment conditions, cropland WP values are generally variable at different spatial scales of crop-field-region-globe, and different temporal scales of day-month-season-year (Bai et al, 2020a(Bai et al, , 2020bFarooq et al, 2019;Hwang et al, 2020;Kang et al, 2021;Lu et al, 2016;Mbava et al, 2020;Wang et al, 2018). Numerous studies have investigated cropland WP (or WUE) for different crop types and varieties (Hou et al, 2020;Si et al, 2020;Wang et al, 2020a,c;Zhang et al, 2019), for example, Mbava et al (2020) revealed that summer crops had higher WUE than winter crops based on a global meta-analysis, and maize and sorghum were the most water use efficient crops.…”
Section: Introductionmentioning
confidence: 99%
“…In the last decades, people have been paying attention to the positive effects of sustainable management practices on crop growth and development (Fig. 1) and advocated several sustainable management practices to ensure food security and improve WUE (Bai et al 2020;Liu et al 2021;Lu et al 2021;Struik and Kuyper 2017). Water-saving irrigation practices have been widely acknowledged to increase crop yield and improve the crop WUE (Sun et al 2019a;Yu et al 2020Yu et al , 2021.…”
Section: Introductionmentioning
confidence: 99%