Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-28T14:46:05.299Z Has data issue: false hasContentIssue false
  • English
  • Français

Temporal–spatial distributions of water use and productivity of maize in China

Published online by Cambridge University Press:  12 July 2018

X. C. Cao ,
R. Shu ,
D. Chen ,
X. P. Guo  and
W. G. Wang
X. C. Cao
Affiliation:
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, Jiangsu 210098, China Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment in Southern China of Ministry of Education, Hohai University, Nanjing, Jiangsu 210098, China College of Agricultural Engineering, Hohai University, Nanjing, Jiangsu 210098, China
R. Shu
Affiliation:
College of Agricultural Engineering, Hohai University, Nanjing, Jiangsu 210098, China
D. Chen
Affiliation:
Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment in Southern China of Ministry of Education, Hohai University, Nanjing, Jiangsu 210098, China College of Agricultural Engineering, Hohai University, Nanjing, Jiangsu 210098, China
X. P. Guo
Affiliation:
Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment in Southern China of Ministry of Education, Hohai University, Nanjing, Jiangsu 210098, China College of Agricultural Engineering, Hohai University, Nanjing, Jiangsu 210098, China
W. G. Wang*
Affiliation:
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, Jiangsu 210098, China
*
Author for correspondence: W. G. Wang, E-mail: wangweiguang@hhu.edu.cn
Get access Rights & Permissions [Opens in a new window]

Abstract

The present study aim to explore temporal–spatial patterns of water use (WU) efficiency and its influencing factors of maize production in China during 1998–2010. WU and productivity (WP) were quantified by taking irrigation loss into account and the links between WP and nine selected indicators were revealed by the partial least squares regression (PLSR) model. Results showed that national WU and WP in maize production were 138.56 cubic gigametres (Gm3; 0.755 green and 0.245 blue) and 1.079 kg/m3, respectively. WP was enhanced in the present study due to an increase in irrigated crop yield. Provinces located in the middle–lower part of the Yellow River had high proportions of green water and WP, while high proportions of irrigation water and low WP were found in Northwest China. The dosage of pesticides per unit area, relative humidity, average temperature and precipitation were the dominant factors that affected WP. However, the relationships between WP and solar radiation, fertilizer, agricultural machinery power, irrigation proportion and irrigated efficiency were not significant. Findings of the present research may also provide a reference for regional agricultural water management.

Keywords

Agricultural inputblue-green waterirrigation systempartial least squares regressionwater use efficiency
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 156 , Issue 4 , May 2018 , pp. 528 - 536
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allen, RG, Pereira, LS, Raes, D and Smith, M (1998) Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. Rome, Italy: FAO.Google Scholar
Berger, A, McDonald, A and Riha, S (2010) A coupled view of above and below-ground resource capture explains different weed impacts on soil water depletion and crop water productivity in maize. Field Crop Research 119, 314–321.Google Scholar
Bouman, BAM (2007) A conceptual framework for the improvement of crop water productivity at different spatial scales. Agricultural Systems 93, 43–60.Google Scholar
Cao, X, Wu, P, Wang, Y and Zhao, X (2014 a) Assessing blue and green water utilisation in wheat production of China from the perspectives of water footprint and total water use. Hydrology and Earth System Sciences 18, 3165–3178.Google Scholar
Cao, X, Wu, P, Wang, Y and Zhao, X (2014 b) Temporal and spatial variation and correlativity of water productivity indexes in irrigated land of China. Advance in Water Science 25, 268–274 (in Chinese).Google Scholar
Cao, X, Wang, Y, Wu, P, Zhao, X and Wang, J (2015 a) An evaluation of the water utilization and grain production of irrigated and rain-fed croplands in China. Science of the Total Environment 529, 10–20.Google Scholar
Cao, X, Wang, Y, Wu, P and Zhao, X (2015 b) Water productivity evaluation for grain crops in irrigated regions of China. Ecological Indicators 55, 107–117.Google Scholar
Cao, XC, Wu, MY, Guo, XP, Zheng, YL, Gong, Y, Wu, N and Wang, WW (2017) Assessing water scarcity in agricultural production system based on the generalized water resources and water footprint framework. Science of the Total Environment 609, 587–597.Google Scholar
Cao, X, Ren, J, Wu, M, Guo, X, Wang, Z and Wang, W (2018) Effective use rate of generalized water resources assessment and to improve agricultural water use efficiency evaluation index system. Ecological Indicators 86, 58–66.Google Scholar
Carrascal, LM, Galvan, I and Gordo, O (2009) Partial least squares regression as an alternative to current regression methods used in ecology. Oikos 118, 681–690.Google Scholar
Chen, Y, Guo, G, Wang, G, Kang, S, Luo, H and Zhang, D (1995) Main Crop Water Requirement and Irrigation of China. Beijing, China: Hydraulic Publisher, (in Chinese).Google Scholar
Duan, A, Sun, J, Liu, Y, Xiao, J, Liu, Q and Qi, X (2004) The Irrigating Water Quota for Main Crops in North of China. Beijing, China: China's Agricultural Science and Technology Press, (in Chinese).Google Scholar
Ge, LQ, Xie, GD, Zhang, CX, Li, SM, Qi, Y, Cao, SY and He, TT (2011) An evaluation of China's water footprint. Water Resources Management 25, 2633–2647.Google Scholar
Huang, X, Shi, ZH, Zhu, HD, Zhang, HY, Ai, L and Yin, W (2016) Soil moisture dynamics within soil profiles and associated environmental controls. Catena 136, 189–196.Google Scholar
Irmak, S (2015) Interannual variation in long-term center pivot-irrigated maize evapotranspiration and various water productivity response indices. II: irrigation water use efficiency, crop WUE, evapotranspiration WUE, irrigation-evapotranspiration use efficiency, and precipitation use efficiency. Journal of Irrigation and Drainage Engineering 141, 04014069.Google Scholar
Ito, J and Ni, J (2013) Capital deepening, land use policy, and self-sufficiency in China's grain sector. China Economic Review 24, 95–107.Google Scholar
Jensen, ME (2007) Beyond irrigation efficiency. Irrigation Science 25, 233–245.Google Scholar
Liu, J, Wiberg, D, Zehnder, AJB and Yang, H (2007) Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China. Irrigation Science 26, 21–33.Google Scholar
Mao, XM, Zhong, WW, Wang, XY and Zhou, XB (2017) Effects of precision planting patterns and irrigation on winter wheat yields and water productivity. Journal of Agricultural Science, Cambridge 155, 1394–1406.Google Scholar
Mekonnen, MM and Hoekstra, AY (2011) The green, blue and grey water footprint of crops and derived crop products. Hydrology and Earth System Sciences 15, 1577–1600.Google Scholar
Molden, D (1997) Accounting for Water Use and Productivity. SWIM paper 1. Colombo, Sri Lanka: International Water Management Institute.Google Scholar
Molden, D (2007) Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture. London, UK/Colombo, Sri Lanka: Earthscan/International Water Management Institute.Google Scholar
MWR (Ministry of Water Resources) (1998–2010) China Water Resources Bulletins in 1998–2010. Beijing, China: China Water Press.Google Scholar
NBSC (National Bureau of Statistics of China) (1999–2011) China Statistical Yearbook in 1999–2011. Beijing, China: China Statistics Press.Google Scholar
Nhan, PP, Hoa, LV, Qui, CN, Huy, NX, Huu, TP, Macdonald, BCT and Tuong, TP (2016) Increasing profitability and water use efficiency of triple rice crop production in the Mekong Delta, Vietnam. Journal of Agricultural Science, Cambridge 154, 1015–1025.Google Scholar
Onderka, M, Wrede, S, Rodny, M, Pfister, L, Hoffmann, L and Krein, A (2012) Hydrogeologic and landscape controls of dissolved inorganic nitrogen (DIN) and dissolved silica (DSi) fluxes in heterogeneous catchments. Journal of Hydrology 450–451, 36–47.Google Scholar
Rodrigues, GC and Pereira, LS (2009) Assessing economic impacts of deficit irrigation as related to water productivity and water costs. Biosystems Engineering 103, 536–551.Google Scholar
Scott, CA, Vicuña, S, Blanco-Gutiérrez, I, Meza, F and Varela-Ortega, C (2014) Irrigation efficiency and water-policy implications for river basin resilience. Hydrology and Earth System Sciences 18, 1339–1348.Google Scholar
Sun, S, Wu, P, Wang, Y, Zhao, X, Liu, J and Zhang, X (2013 a) The impacts of interannual climate variability and agricultural inputs on water footprint of crop production in an irrigation district of China. Science of the Total Environment 444, 498–507.Google Scholar
Sun, SK, Wu, PT, Wang, YB and Zhao, XN (2013 b) The virtual water content of major grain crops and virtual water flows between regions in China. Journal of the Science of Food and Agriculture 93, 1427–1437.Google Scholar
Umetrics, AB (2012) User Guide to SIMCA-P 13.0. Kinnelon, NJ, USA: Umetrics Inc.Google Scholar
Wallace, JS and Gregory, PJ (2002) Water resources and their use in food production systems. Aquatic Sciences 64, 363–375.Google Scholar
Wang, GY, Zhou, XB and Chen, YH (2016) Planting pattern and irrigation effects on water status of winter wheat. Journal of Agricultural Science, Cambridge 154, 1362–1377.Google Scholar
Wang, YB, Wu, PT, Engel, BA and Sun, SK (2014) Application of water footprint combined with a unified virtual crop pattern to evaluate crop water productivity in grain production in China. Science of the Total Environment 497–498, 1–9.Google Scholar
Wang, YB, Wu, PT, Engel, BA and Sun, SK (2015) Comparison of volumetric and stress-weighted water footprint of grain products in China. Ecological Indicators 48, 324–333.Google Scholar
Xiao, GJ, Zheng, FJ, Qiu, ZJ and Yao, YB (2013) Impact of climate change on water use efficiency by wheat, potato and corn in semiarid areas of China. Agriculture, Ecosystems & Environment 181, 108–114.Google Scholar
Yin, XG, Jabloun, M, Olesen, JE, Ozturk, I, Wang, M and Chen, F (2016) Effects of climatic factors, drought risk and irrigation requirement on maize yield in the northeast farming region of China. Journal of Agricultural Science, Cambridge 154, 1171–1189.Google Scholar
Zwart, SJ and Bastiaanssen, WGM (2004) Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize. Agricultural Water Management 69, 115–133.Google Scholar
Zwart, SJ, Bastiaanssen, WGM, Fraiture, C and Molden, DJ (2010) A global benchmark map of water productivity for rainfed and irrigated wheat. Agricultural Water Management 97, 1617–1627.Google Scholar