Parametrization of Models and Use of Estimated Global Solar Radiation Data in the Irrigated Rice Yield Simulation

João Rodrigo De Castro,João Marcelo Hoffmann De Souza,Santiago Vianna Cuadra,Alexandre Bryan Heinemann,Luciana Barros Pinto,Marcos Paulo Dos Santos

doi:10.1590/0102-7786332003

Abstract

Abstract The objective of this study was to evaluate the use of estimated global solar radiation data in the simulations of potential yield of irrigated rice. Global solar radiation was estimated by four empirical models, based on air temperature, and a meteorological satellite derivated. The empirical models were calibrated and validated for 10 sites, representative of the six rice regions of the State of Rio Grande do Sul - Brazil. To evaluate the impact of the radiation estimates on irrigated rice yield simulations, the CERES-Rice model, calibrated for four cultivars, was used. The estimates of global solar radiation of the empirical models based on the air temperature showed deviations, from the observed values, of 20 to 30% and the estimated by satellite deviations of more than 30%. The global solar radiation data estimated by the Hargreaves and Samani, Donatelli and Campbell and derived satellite (PowerNasa) type air temperature-based empirical models can be used as input data in simulation models of crop growth, development and productivity of irrigated rice.

Highlights

Rio Grande do Sul (RS) is the Brazilian state which has the largest production of irrigated rice (Oryza sativa), and it responds for 69,83% of the total production in Brazil within the crop 2015-2016 (CONAB - Compania Nacional de Abastecimento, 2016)
The air temperature models used in this study for estimating global solar radiation (GSR) were: Bristow and Campbell (1984) - BC (Eq (1)); Donatelli and Campbell (1998) - CD (Eq (2)); the Hargreaves and Samani equation (1985) - HG, presented by Hunt et al (1998) - HG1 (Eq (3)), and even a variation of HG described in Chen et al (2004) - HG2 (Eq (4))
The value is close to the one obtained by Heinemann et al (2012) in a study conducted in the State of Goiás - Brazil

Summary

Introduction

Rio Grande do Sul (RS) is the Brazilian state which has the largest production of irrigated rice (Oryza sativa), and it responds for 69,83% of the total production in Brazil within the crop 2015-2016 (CONAB - Compania Nacional de Abastecimento, 2016). In this crop, the production of irrigated rice in the state of RS exceeded 7 million of metric tons, with average yield of approximately 7 Mg ha-1 (Breseghello and Neves, 2016). Among the crop models for irrigated rice, CERESRice (Jones et al, 2003) and ORYZA (Bouman et al, 2001) stand out They allow the assessment of cultural yield under different management conditions and climate. GSR is an important climate variable for several agroecological studies (Tao et al, 2013; Li et al, 2014)

Objectives

Methods

Results

Conclusion