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Extreme heat effects on wheat senescence in India

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TLDR
In this paper, a remote-sensing study demonstrates accelerated ageing of wheat in northern India in response to extreme heat (>34°C), an effect that reduces crop yields but is underestimated in most crop models.
Abstract
One difficulty in anticipating the effects of climate change on agriculture is accounting for crop responses to extremely high temperatures. Now a remote-sensing study demonstrates accelerated ageing of wheat in northern India in response to extreme heat (>34 °C); an effect that reduces crop yields but is underestimated in most crop models.

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Influence of extreme weather disasters on global crop production

TL;DR: It is shown that droughts and extreme heat significantly reduced national cereal production by 9–10%, whereas the analysis could not identify an effect from floods and extreme cold in the national data, which may help to guide agricultural priorities in international disaster risk reduction and adaptation efforts.
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Climate variation explains a third of global crop yield variability

TL;DR: This study uses detailed crop statistics time series for ~13,500 political units to examine how recent climate variability led to variations in maize, rice, wheat and soybean crop yields worldwide.
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Recent patterns of crop yield growth and stagnation

TL;DR: Although yields continue to increase in many areas, it is found that across 24-39% of maize-, rice-, wheat- and soybean-growing areas, yields either never improve, stagnate or collapse, which underscores the challenge of meeting increasing global agricultural demands.

Food security and food production systems

TL;DR: The questions for this chapter are how far climate and its change affect current food production systems and food security and the extent to which they will do so in the future.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
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An improved method of constructing a database of monthly climate observations and associated high-resolution grids

TL;DR: In this paper, a database of monthly climate observations from meteorological stations is constructed and checked for inhomogeneities in the station records using an automated method that refines previous methods by using incomplete and partially overlapping records and by detecting inhomalities with opposite signs in different seasons.
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TIMESAT - a program for analyzing time-series of satellite sensor data

TL;DR: In this article, three different least-squares methods for processing time-series of satellite sensor data are presented, one of which uses local polynomial functions and can be classified as an adaptive Savitzky-Golay filter.
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Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000

TL;DR: In this paper, the authors present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 min by 5 min (∼10 km by 10 km) latitude-longitude grid.
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The impact of temperature variability on wheat yields

TL;DR: In this paper, the impact of temperature variability and changes in averages and extremes on wheat production has been quantified, and it was shown that increased leaf senescence can be attributed to increased temperature >34°C.
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