A recent study found that adding rapeseed oil, chili peppers, and wasabi to cooked rice changes its texture and digestion. These supplements increase resistant starch, offering potential health benefits and glycemic control.
Diego Portalanza
Agronomist - 12 articlesHe has a degree in Agricultural Engineering from the University of Guayaquil (UDG), Faculty of Agronomy (2010), and a master's degree in Climate Change from the Escola Superior Politécnica do Litoral (ESPOL), Faculty of Naval Engineering, Biological, Oceanic Sciences and Natural Resources (2017). He obtained a doctorate in Meteorology from the Federal University of Santa Maria (UFSM) and carried out a post-doctorate in Meteorology at UFSM from 2022 to 2024, focusing on Climatology. He worked as a researcher at the National Institute of Agricultural Research (2009-2011) and from October 2011 to 2018 he was a technician and responsible for the Department of Phytosanitary Defense (ARCFS) at the Ministry of Agriculture of Ecuador. Between 2017 and 2018, he worked as a scientific advisor at the Vice-Ministry of Agriculture.
He has experience in Agronomy, with an emphasis on Agrometeorology, and his main research areas include operational agrometeorology, agroclimatology, agricultural planning, plant diseases, geographic information systems and statistical analysis. Since 2018, she has been a member of the Climate Research Group (GPC) and the Agrometeorology Laboratory at UFSM. He is currently a professor of Environmental Modeling at the Agrarian University of Ecuador and director of projects related to climate change and ecosystem services.
News by Diego Portalanza
Researchers have discovered a way to transform pineapple leaf waste into carboxymethylated microcellulose, a sustainable, water-soluble material with great potential for applications in the food, pharmaceutical and water treatment industries.
The hydroelectric plant that changed the Earth: World's largest power plant affects Earth's rotation
The Three Gorges Hydroelectric Plant in China is the largest in the world and is surprising not only for its energy generation, but also for its impact on the Earth's rotation, slightly altering the time each day.
A recent study published in Nature presents NeuralGCM, a neural general circulation model that promises to significantly improve climate and weather forecasts through advanced machine learning techniques.
A new El Niño prediction model, detailed in Nature, promises to significantly improve the accuracy of climate forecasts by integrating complex seasonal interactions with other modes of climate variability.