The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Global Synthesis of Drought Effects on Maize and Wheat Production
Open accessAbstract
Drought has been a major cause of agricultural disaster, yet how it affects the vulnerability of maize and wheat production in combination with several co-varying factors (i.e., phenological phases, agro-climatic regions, soil texture) remains unclear. Using a data synthesis approach, this study aims to better characterize the effects of those co-varying factors with drought and to provide critical information on minimizing yield loss. We collected data from peer-reviewed publications between 1980 and 2015 which examined maize and wheat yield responses to drought using field experiments. We performed unweighted analysis using the log response ratio to calculate the bootstrapped confidence limits of yield responses and calculated drought sensitivities with regards to those co-varying factors. Our results showed that yield reduction varied with species, with wheat having lower yield reduction (20.6%) compared to maize (39.3%) at approximately 40% water reduction. Maize was also more sensitive to drought than wheat, particularly during reproductive phase and equally sensitive in the dryland and non-dryland regions. While no yield difference was observed among regions or different soil texture, wheat cultivation in the dryland was more prone to yield loss than in the non-dryland region. Informed by these results, we discuss potential causes and possible approaches that may minimize drought impacts.
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Cites
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 · cited 1×
“As variabilities often accompanied site-specific field experiments, meta-analysis can be used to summarize results from numerous independent experiments on drought [13].”
Yield trends are insufficient to double global crop production by 2050
Ray, D. K., Mueller, N. D., West, P. C., & Foley, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066428 · Cited by 3,415
Plant adaptation to climate change—opportunities and priorities in breeding
Chapman, S. C., Chakraborty, S., Dreccer, M. F., & Howden, S. M. (2012) · Crop & Pasture Science · doi:10.1071/cp11303 · Cited by 285
Cited by
Crop production under drought and heat stress: plant responses and management options.
Fahad, S., Bajwa, A. A., Nazir, U., Anjum, S. A., Farooq, A., Zohaib, A., Sadia, S., Nasim, W., Adkins, S., Saud, S., et al. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01147 · Cited by 2,629
Agriculture in 2050: Recalibrating Targets for Sustainable Intensification
Hunter, M. C., Smith, R. G., Schipanski, M. E., Atwood, L. W., & Mortensen, D. A. (2017) · BioScience · doi:10.1093/biosci/bix010 · Cited by 1,004
Kabir, M., Habiba, U. E., Khan, W., Shah, A., Rahim, S., Rios-Escalante, P. R. D. L., Farooqi, Z.-U.-R., Ali, L., & Shafiq, M. (2023) · Journal of King Saud University - Science · doi:10.1016/j.jksus.2023.102693 · Cited by 466
Jogawat, A., Yadav, B., Chhaya, Lakra, N., Singh, A. K., & Narayan, O. P. (2021) · Physiologia Plantarum · doi:10.1111/ppl.13328 · Cited by 429
Huang, B., Chen, Y.-E., Zhao, Y.-Q., Ding, C.-B., Liao, J.-Q., Hu, C., Zhou, L.-J., Zhang, Z.-W., Yuan, S., & Yuan, M. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00677 · Cited by 312
Metadata
- Authors
- Daryanto, S., Wang, L., & Jacinthe, P.-A.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-05-25
- Volume
- 11
- Issue
- 5
- Pages
- e0156362
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2400450278
- Cited by
- 1,025
- References
- 3
- FWCI
- 53.28
- Type
- journal article
- Language
- en
- Open access
- gold
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