Vinícius Serafini Roglio

Modelo agrometeorológico-espectral para estimativa da produtividade de grãos de arroz irrigado no Rio Grande do Sul

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.

Erratum to “Prevalence of driving under the influence of psychoactive substances and road traffic crashes among Brazilian crack-using drivers” [Drug Alcohol Depend. 168 (2016) 255–262]

Please cite this article in press as: Scherer, J.N., et al., Erratum to “Prevalence of driving under the influence of psychoactive substances and road traffic crashes among Brazilian crack-using drivers” [Drug Alcohol Depend. (2016) 255–262]. Drug Alcohol Depend. (2016), http://dx.doi.org/10.1016/j.drugalcdep.2016.11.004 ere incorrectly shown as collaborators. The correct list of authors is shown below: Juliana Nichterwitz Scherer∗, Roberta Silvestrin, Felipe Ornell, Vinícius Roglio, Tanara Rosangela Vieira Sousa, Brazilian Crack Group1, isia Von Diemen, Felix Henrique Paim Kessler, Flavio Pechansky. The publisher would like to apologise for any inconvenience caused.