Publications

Klering, EV; Fontana, DC; Roglio, VS; Alves, RDM; Berlato, MA (2016). Agrometeorological-spectral model to estimate irrigate rice grain yield in the State of Rio Grande do Sul, Brazil. BRAGANTIA, 75(2), 247-256.

Abstract
The objective of this study was to estimate the irrigated rice grain yield through the adjustment of the agrometeorological-spectral model in the State of Rio Grande do Sul, Brazil. For the six rice-growing regions of the State, the data on irrigated rice grain yield and crop area, meteorological data and the Normalized Difference of Vegetation Index (NDVI) images of moderate resolution imaging spectroradiometer (MODIS) sensor were used from August to April, for the 2000/2001 to 2009/2010 crop seasons. The minimum air temperature and NDVI are associated to the irrigated rice grain yield in several crop development periods. The agrometeorological-spectral model to estimate irrigated rice grain yield, adjusted through the oriented approach by the climate-plant relationship, is adequate for the estimates at regional levels. This could predict the estimates one month before the end of the harvest.

DOI:
10.1590/1678-4499.287

ISSN:
1678-4499