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Characterizing drought stress and trait influence on maize yield under current and future conditions

doi: 10.1111/gcb.12381
pmid: 24038882
AbstractGlobal climate change is predicted to increase temperatures, alter geographical patterns of rainfall and increase the frequency of extreme climatic events. Such changes are likely to alter the timing and magnitude of drought stresses experienced by crops. This study used new developments in the classification of crop water stress to first characterize the typology and frequency of drought‐stress patterns experienced by European maize crops and their associated distributions of grain yield, and second determine the influence of the breeding traits anthesis‐silking synchrony, maturity and kernel number on yield in different drought‐stress scenarios, under current and future climates. Under historical conditions, a low‐stress scenario occurred most frequently (ca. 40%), and three other stress types exposing crops to late‐season stresses each occurred in ca. 20% of cases. A key revelation shown was that the four patterns will also be the most dominant stress patterns under 2050 conditions. Future frequencies of low drought stress were reduced by ca. 15%, and those of severe water deficit during grain filling increased from 18% to 25%. Despite this, effects of elevated CO2 on crop growth moderated detrimental effects of climate change on yield. Increasing anthesis‐silking synchrony had the greatest effect on yield in low drought‐stress seasonal patterns, whereas earlier maturity had the greatest effect in crops exposed to severe early‐terminal drought stress. Segregating drought‐stress patterns into key groups allowed greater insight into the effects of trait perturbation on crop yield under different weather conditions. We demonstrate that for crops exposed to the same drought‐stress pattern, trait perturbation under current climates will have a similar impact on yield as that expected in future, even though the frequencies of severe drought stress will increase in future. These results have important ramifications for breeding of maize and have implications for studies examining genetic and physiological crop responses to environmental stresses.
- Département Sciences sociales, agriculture et alimentation, espace et environnement France
- Pioneer Hi-Bred United States
- National Research Institute for Agriculture, Food and Environment France
- Pioneer Hi-Bred United States
- University of Queensland Australia
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, 2300 Environmental Science, Water stress, Climate Change, Trait, 2306 Global and Planetary Change, Breeding, Zea mays, Stress, Physiological, APSIM, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, Drought, Models, Theoretical, Droughts, Europe, 2304 Environmental Chemistry, Grain, Seasons, 2303 Ecology, Model, Forecasting
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, 2300 Environmental Science, Water stress, Climate Change, Trait, 2306 Global and Planetary Change, Breeding, Zea mays, Stress, Physiological, APSIM, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, Drought, Models, Theoretical, Droughts, Europe, 2304 Environmental Chemistry, Grain, Seasons, 2303 Ecology, Model, Forecasting
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).215 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
