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Agricultural Systems
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Warm nights in the Argentine Pampas: Modelling its impact on wheat and barley shows yield reductions

Authors: Guillermo A. García; Daniel J. Miralles; Román A. Serrago; Ignacio Alzueta; Neil Huth; M. Fernanda Dreccer;

Warm nights in the Argentine Pampas: Modelling its impact on wheat and barley shows yield reductions

Abstract

Abstract Efforts to anticipate how climate change and variability will affect future crop production can benefit from understanding the impacts of current and historic changes. This study aimed to quantify and compare the impact of increased night temperature on potential yield and phenology of wheat ( Triticum aestivum L. ) and barley ( Hordeum vulgare L. ) crops modelled using APSIM with historical climate series (1961–2014) in sites representative of the Argentinean Pampas. For each site, the sowing date was adjusted to avoid frost and heat events at flowering, based on historical probability. The critical period was the more sensitive crop phase (shortened by 0.6 d decade −1 ) for the observed asymmetric warming; regional minimum temperature trend of ca. 0.14 and 0.16 °C decade −1 in wheat and barley, respectively. Wheat and barley yields declined across the region between ca. 2% and 9% per °C increase in the minimum temperature during the critical period, linked to lower cumulative radiation capture as a result of a shorter crop phase and lower incident radiation due to displacement towards winter. Regional variability in the simulated yield response to the observed night warming was mainly explained by differences the response of incident solar radiation during the critical period to the minimum temperature increase.

Country
Argentina
Keywords

POTENTIAL YIELD, CLIMATE CHANGE, MINIMUM TEMPERATURE, SIMULATION STUDY, TEMPERATE CEREALS, https://purl.org/becyt/ford/4.1, SOLAR RADIATION, https://purl.org/becyt/ford/4

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    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).
    30
    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 10%
    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 10%
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
hybrid