The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Greater Sensitivity to Drought Accompanies Maize Yield Increase in the U.S. Midwest
Abstract
Predicting Responses to Drought: The U.S. Corn Belt accounts for a sizeable portion of the world's maize growth. Various influences have increased yields over the years. Lobell et al. (p. 516 ; see the Perspective by Ort and Long ) now show that sensitivity to drought has been increasing as well. It seems that as plants have been bred for increased yield under ideal conditions, the plants become more sensitive to non-ideal conditions. A key factor may be the planting density. Although today's maize varieties are more robust to crowding and the farmer can get more plants in per field, this same crowding takes a toll when water resources are limited.
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Cites
The critical role of extreme heat for maize production in the United States
Lobell, D. B., Hammer, G. L., McLean, G., Messina, C., Roberts, M. J., & Schlenker, W. (2013) · Nature Climate Change · doi:10.1038/nclimate1832 · Cited by 1,026
Self-citationYield Improvement in Temperate Maize is Attributable to Greater Stress Tolerance
Tollenaar, M., & Wu, J. (1999) · Crop Science · doi:10.2135/cropsci1999.3961597x · Cited by 609
Research works printed but not linked: 21
- 10.1016/j.fcr.2004.07.003 · DOI · Paper page
- 10.2135/cropsci2004.0370 · DOI · Paper page
- 10.1111/nph.12192 · DOI · Paper page
- 10.1093/jxb/err269 · DOI · Paper page
- 10.1111/j.1365-2486.2011.02406.x · DOI
- 10.1002/grl.50563 · DOI · Paper page
- 10.1016/S0065-2113(05)86002-X · DOI · Paper page
- 10.2135/cropsci2008.03.0152 · DOI · Paper page
- 10.2134/agronj2003.0884 · doi:10.2134/agronj2003.0884
- 10.1016/S0378-4290(02)00024-2 · DOI · Paper page
- 10.1016/j.agwat.2005.07.014 · DOI · Paper page
- 10.1214/aos/1176347963 · DOI · Paper page
- 10.1023/A:1014947422468 · DOI
- Barnabás B., Jäger K., Fehér A., The effect of drought and heat stress on reproductive processes in cereals. Plant Cell Environ. 31, 11–38 (2008).17971069 · DOI · Paper page
- 10.1016/j.fcr.2004.12.001 · DOI
- 10.2134/agronj2011.0286 · DOI
- 10.1093/jxb/erq329 · DOI · Paper page
- D. J. Connor R. S. Loomis K. G. Cassman Crop Ecology: Productivity and Management in Agricultural Systems (Cambridge Univ. Press Cambridge 2011). · DOI · Paper page
- M. J. Roberts W. Schlenker in The Economics of Climate Change: Adaptations Past and Present G. D. Libecap R. H. Steckel Eds. (Univ. of Chicago Press Chicago 2011) pp. 225–251. · DOI
- 10.1175/1520-0442(2004)017<2335:ASPDSI>2.0.CO;2 · DOI · Paper page
- 10.1175/1520-0442(1996)009<3443:TCORHI>2.0.CO;2 · doi:10.1175/1520-0442(1996)009<3443:tcorhi>2.0.co;2
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Influence of extreme weather disasters on global crop production
Lesk, C., Rowhani, P., & Ramankutty, N. (2016) · Nature · doi:10.1038/nature16467 · Cited by 3,883
Temperature increase reduces global yields of major crops in four independent estimates
Zhao, C., Liu, B., Piao, S., Wang, X., Lobell, D. B., Huang, Y., Huang, M., Yao, Y., Bassu, S., Ciais, P., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701762114 · Cited by 3,311
Self-citationClimate variation explains a third of global crop yield variability
Ray, D. K., Gerber, J. S., MacDonald, G. K., & West, P. C. (2015) · Nature Communications · doi:10.1038/ncomms6989 · Cited by 2,046
Increased atmospheric vapor pressure deficit reduces global vegetation growth
Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., Ryu, Y., Chen, G., Dong, W., Hu, Z., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax1396 · Cited by 1,762
Unprecedented 21st century drought risk in the American Southwest and Central Plains
Cook, B. I., Ault, T. R., & Smerdon, J. E. (2015) · Science Advances · doi:10.1126/sciadv.1400082 · Cited by 1,445
Metadata
- Authors
- Lobell, D. B., Roberts, M. J., Schlenker, W., Braun, N., Little, B. B., Rejesus, R. M., & Hammer, G. L.
- Venue
- Science
- Published
- 2014-05-02
- Volume
- 344
- Issue
- 6183
- Pages
- 516-519
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2043153600
- Cited by
- 1,094
- References
- 2
- FWCI
- 71.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lobell, D. B., Roberts, M. J., Schlenker, W., Braun, N., Little, B. B., Rejesus, R. M., & Hammer, G. L. (2014). Greater Sensitivity to Drought Accompanies Maize Yield Increase in the U.S. Midwest. Science. https://doi.org/10.1126/science.1251423
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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