Publications by authors named "Simona Bassu"

Building a resilient and sustainable agricultural sector requires the development and implementation of tailored climate change adaptation strategies. By focusing on durum wheat (Triticum turgidum subsp. durum) in the Euro-Mediterranean region, we estimate the benefits of adapting through seasonal cultivar-selection supported by an idealised agro-climate service based on seasonal climate forecasts.

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The growing interest in old durum wheat cultivars, due to enhanced consumer attention on healthy, traditional products and low-input agricultural systems, partly relies on their different quality characteristics compared to modern cultivars. Nine Italian durum wheat cultivars from different breeding periods were compared in two late-sown (January) field trials in order to subject their grain filling period to high temperatures similar to those expected in the future. Late sowing moved anthesis forward by about 10 days and increased the mean temperature during grain filling by 1.

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Article Synopsis
  • Wheat, rice, maize, and soybean together account for two-thirds of human caloric intake, making their production crucial for global food supply.
  • Different studies have shown varying effects of rising global temperatures on these crops, prompting a comprehensive assessment of their yield impacts.
  • Analysis revealed that without CO2 fertilization and effective adaptation, a one-degree increase in global temperature could lower crop yields significantly: wheat by 6.0%, rice by 3.2%, maize by 7.4%, and soybean by 3.1%, highlighting the need for tailored strategies to ensure food security.
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Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2 ], we present the largest maize crop model intercomparison to date, including 23 different models.

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