Improving Drought Tolerance in Maize
Abstract
This chapter contains sections titled: Introduction Physiology of the Response of Maize Under Drought Experimental Methods Applied Breeding Methods Molecular Breeding Conclusions Literature Cited
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Such iterative empirical-modelling applications were used to guide development of maize hybrids with improved yield stability for a wide range of drought environments and responsiveness to inputs for favourable environments in the US corn-belt.
“Such iterative empirical-modelling applications were used to guide development of maize hybrids with improved yield stability for a wide range of drought environments and responsiveness to inputs for favourable environments, based on these same principles, for the US corn-belt (Campos et al. 2004; Barker et al. 2005; Messina et al. 2009, 2011, 2018, 2020a; Cooper et al. 2014a, 2016, 2020; Gaffney”
From Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity (2021) · cites this paper as Barker et al. 2005
Cites
Understanding plant responses to drought—from genes to the whole plant.
Chaves, M. M., Maroco, J. P., & Pereira, J. S. (2003) · Functional Plant Biology · doi:10.1071/fp02076 · Cited by 3,845 · see citing works
Plant Breeding for Stress Environments
Blum, A. (2018) · doi:10.1201/9781351075718 · Cited by 1,309 · see citing works
Estimation of heritability and prediction of selection response in plant populations
Nyquist, W. E., & Baker, R. J. (1991) · Critical Reviews in Plant Sciences · doi:10.1080/07352689109382313 · Cited by 880 · see citing works
Accounting for natural and extraneous variation in the analysis of field experiments
Gilmour, A. R., Cullis, B. R., Verbyla, A. P., & Verbyla, A. P. (1997) · Journal of Agricultural, Biological, and Environmental Statistics · doi:10.2307/1400446 · Cited by 752 · see citing works
Yield 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 · see citing works
TUBEROSA, R. (2002) · Annals of Botany · doi:10.1093/aob/mcf134 · Cited by 397 · see citing works
Cooper, M., & DeLacy, I. H. (1994) · Theoretical and Applied Genetics · doi:10.1007/bf01240919 · Cited by 349 · see citing works
Self-citationSpatial Analysis of Field Experiments-An Extension to Two Dimensions
Cullis, B. R., & Gleeson, A. C. (1991) · Biometrics · doi:10.2307/2532398 · Cited by 325 · see citing works
Chapman, S. C., Hammer, G. L., Butler, D. G., & Cooper, M. (2000) · Australian Journal of Agricultural Research · doi:10.1071/ar99022 · Cited by 127 · see citing works
Self-citationCooper, M., Woodruff, D. R., Eisemann, R. L., Brennan, P. S., & DeLacy, I. H. (1995) · Theoretical and Applied Genetics · doi:10.1007/bf00221995 · Cited by 110 · see citing works
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Improving drought tolerance in maize: a view from industry
Campos, H., Cooper, M., Habben, J. E., Edmeades, G. O., & Schussler, J. R. (2004) · Field Crops Research · doi:10.1016/j.fcr.2004.07.003 · Cited by 646 · see citing works
Self-citationPredicting the future of plant breeding: complementing empirical evaluation with genetic prediction
Cooper, M., Messina, C. D., Podlich, D., Totir, L. R., Baumgarten, A., Hausmann, N. J., Wright, D., & Graham, G. (2014) · Crop & Pasture Science · doi:10.1071/cp14007 · Cited by 411 · see citing works
Self-citationAssefa, Y., Carter, P., Hinds, M., Bhalla, G., Schon, R., Jeschke, M., Paszkiewicz, S., Smith, S., & Ciampitti, I. A. (2018) · Scientific Reports · doi:10.1038/s41598-018-23362-x · Cited by 222 · see citing works
Gaffney, J., Schussler, J., Löffler, C., Cai, W., Paszkiewicz, S., Messina, C., Groeteke, J., Keaschall, J., & Cooper, M. (2015) · Crop Science · doi:10.2135/cropsci2014.09.0654 · Cited by 193 · see citing works
Self-citationCooper, M., Voss-Fels, K. P., Messina, C. D., Tang, T., & Hammer, G. L. (2021) · Theoretical and Applied Genetics · doi:10.1007/s00122-021-03812-3 · Cited by 119 · see citing works
Self-citationBiological reality and parsimony in crop models—why we need both in crop improvement!
Hammer, G., Messina, C., Wu, A., & Cooper, M. (2019) · in silico Plants · doi:10.1093/insilicoplants/diz010 · Cited by 108 · see citing works
Self-citationGene-to-phenotype models and complex trait genetics
Cooper, M., Podlich, D. W., & Smith, O. S. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05154 · Cited by 104 · see citing works
Self-citationCooper, M., Messina, C. D., Tang, T., Gho, C., Powell, O. M., Podlich, D. W., Technow, F., & Hammer, G. L. (2022) · Plant Breeding Reviews · doi:10.1002/9781119874157.ch8 · Cited by 56 · see citing works
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- Authors
- Barker, T., Campos, H., Cooper, M., Dolan, D., Edmeades, G., Habben, J., Schussler, J., Wright, D., & Zinselmeier, C.
- Affiliations
- Pioneer Hi-Bred (US)
- Corresponding author
- Barker, T.
- Venue
- Plant Breeding Reviews
- Publisher
- Wiley
- Published
- 2005-02-14
- Pages
- 173-253
- ISSN
- 0730-2207 (ISSN-L)
- OpenAlex
- W1485630882
- Cited by
- 135
- References
- 10
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 3 · 2023: 3 · 2022: 8 · 2021: 3 · 2020: 7 · 2019: 4 · 2018: 8 · 2017: 9 · 2016: 10 · 2015: 10 · 2014: 15 · 2013: 8 · 2012: 9
- Type
- other
- Language
- en
- Open access
- closed
- Locations
- Plant breeding reviews (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Stress Responses and Tolerance
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Keywords
- drought tolerance, maize, plant physiology, drought response, breeding strategies, molecular breeding, crop improvement
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