The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Drip fertigation significantly increased crop yield, water productivity and nitrogen use efficiency with respect to traditional irrigation and fertilization practices: A meta-analysis in China
Abstract
Abstract Improving irrigation and fertilization management for greater productivity is critical to address water scarcity. Drip fertigation can synchronize the water and nitrogen (N) supply with crop demand, offering the potential for enhanced water productivity (WP) and nitrogen use efficiency (NUE). To quantitatively assess the efficacy of drip fertigation and identify the main affecting factors, we used a meta-analysis to evaluate the effects of drip fertigation on the yield, WP and NUE under different conditions and to quantify the irrigation water saving potential (WSP) and N saving potential (NSP) of drip fertigation. Our results showed that, overall, drip fertigation led to significantly higher yields (12.0%), WP (26.4%) and NUE (34.3%), while significantly decreased crop evapotranspiration (ET) by 11.3%, compared to farmers’ practices referring to traditional irrigation by furrow or flood and fertilization by broadcasting N fertilizer (broadcasting N fertilizer without irrigation in rainfed farming). However, the extent of improvement highly depended on crop types and was subject to edaphic, climatic and managerial factors. Among crop types, potato showed the highest increase in yield (40.3%) and WP (100.3%), and fruit showed the highest increase in NUE (68.2%). At a regional scale, drip fertigation performed best in semiarid regions. In addition, irrigation water inputs had large effects (P
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Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Planetary boundaries: Guiding human development on a changing planet
Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., Biggs, R., Carpenter, S. R., de Vries, W., de Wit, C. A., et al. (2015) · Science · doi:10.1126/science.1259855 · Cited by 12,527
Solutions for a cultivated planet
Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell, C., Ray, D. K., West, P. C., et al. (2011) · Nature · doi:10.1038/nature10452 · Cited by 8,476
A working guide to boosted regression trees
Elith, J., Leathwick, J. R., & Hastie, T. (2008) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2008.01390.x · Cited by 6,484
Soil taxonomy—a basic system of soil classification for making and interpreting soil surveys
Nachtergaele, F. (2001) · Geoderma · doi:10.1016/s0016-7061(00)00097-5 · Cited by 5,434
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,784
The meta-analysis of response ratios in experimental ecology
Hedges, L. V., Gurevitch, J., & Curtis, P. S. (1999) · Ecology · doi:10.1890/0012-9658(1999)080[1150:tmaorr]2.0.co;2 · Cited by 4,704
Options for keeping the food system within environmental limits
Springmann, M., Clark, M., Mason-D’Croz, D., Wiebe, K., Bodirsky, B. L., Lassaletta, L., de Vries, W., Vermeulen, S. J., Herrero, M., Carlson, K. M., et al. (2018) · Nature · doi:10.1038/s41586-018-0594-0 · Cited by 3,380
Peters, J. L., Sutton, A. J., Jones, D. R., Abrams, K. R., & Rushton, L. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2007.11.010 · Cited by 2,053
China’s environment in a globalizing world
Liu, J., & Diamond, J. (2005) · Nature · doi:10.1038/4351179a · Cited by 1,643
Metadata
- Authors
- Li, H., Mei, X., Wang, J., Huang, F., Hao, W., & Li, B.
- Venue
- Agricultural Water Management
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 244
- Pages
- 106534
- ISSN
- 0378-3774 (ISSN-L)
- OpenAlex
- W3091070966
- Cited by
- 284
- References
- 42
- FWCI
- 2.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, H., Mei, X., Wang, J., Huang, F., Hao, W., & Li, B. (2021). Drip fertigation significantly increased crop yield, water productivity and nitrogen use efficiency with respect to traditional irrigation and fertilization practices: A meta-analysis in China. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2020.106534
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