EL NIÑO-SOUTHERN OSCILLATION AND ITS INFLUENCE ON SUGARCANE YIELD AND QUALITY IN FLORIDA, USA

• Grant number: 23/17567-5
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Start date: April 19, 2024
• End date: August 16, 2024
• Field of knowledge: Agronomical Sciences - Agronomy - Agricultural Meteorology
• Principal Investigator: Fabio Ricardo Marin
• Grantee: João Guilherme Silveira Pedreira
• Supervisor: Gerrit Hoogenboom
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Institution abroad: University of Florida, Gainesville (UF), United States
• Associated to the scholarship: 23/07840-6 - EL NIÑO SOUTHERN OSCILLATION AND ITS INFLUENCE ON THE PRODUCTIVITY AND QUALITY OF SUGARCANE AT DIFFERENT PERIODS, BP.IC

Abstract

Sugarcane production plays an important role in the world's economy, serving as afundamental source for obtaining sugar, ethanol, and other derivative products. However, thisagricultural activity is subject to significant impacts caused by climatic phenomena such as ElNiño and La Niña. These climate variations have important effects on the global climate,affecting rainfall, temperature, and wind patterns in different regions of the world, which canhave direct consequences on sugarcane production. To prevent and minimize the impacts ofEl Niño and La Niña on sugarcane production, it is important to understand how thesephenomena affect agriculture. An effective way to achieve this is through crop simulationsthat consider crops affected by these events, using process-based crop models. This approachprovides the ability to anticipate and adapt to climate variations, contributing to the resilienceof producers and the maintenance of agricultural productivity in the face of increasinglyclimate challenges. Therefore, this project aims to assess the effect of the different phases ofthe El Niño-Southern Oscillation phenomenon on the quality and yield of sugarcane inproducing regions of Florida, for different seasons, based on simulations using theDSSAT/SAMUCA model.