Abstract

ABSTRACT The survey information from growing regions, the interaction with the vegetation index and climatic variables is of great importance in the search for soybean productivity increase. Parana is the second largest soybean producer in Brazil and presents great spatial variability, both in periods of the crop cycle as in soil and climate. The objective of this study was to analyze the spatial correlation of soybean productivity, the enhanced vegetation index (EVI) and agrometeorological variables (water balance, global radiation and average temperature) in the state of Parana, on a decendial scale, using the Moran global autocorrelation index between the 2010/2011 and 2012/2013 crop years. Similarity was found in the average productivities in 2010/2011 and 2012/2013. In 2011/2012 the state average was 2.38 t ha−1 lower in 10.19% compared to the national average, caused by the water deficit in flowering and grain filling phases. As a consequence, spatial autocorrelation indicated a higher similarity in productivity among municipalities with a Moran index of 0.735. The use of vegetation indices and agrometeorological variables allowed the identification of different sowing periods between regions and great climatic variability, influencing the soybean productivity.

Highlights

  • Soybean cultivation is of great importance in the world agriculture, according to FAOSTAT (2015) the production in 2010, 2011, 2012, 2013 and 2014 were respectively 265; 261; 241; 277 and 306 million tons worldwide

  • The aim of this study was to analyze the spatial correlation of soybean productivity, the enhanced vegetation index (EVI) and the meteorological variables represented by water balance (Cw), global radiation (Gr) and average temperature (Te) in decendial scale, for the 2010/2011 to 2012/2013 crop years in the state of Paraná

  • EVI images of the MOD13Q1.5 product of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor were obtained on board the Terra satellite of the "Tile" h13v11, which has a spatial resolution of 250 m and a temporal resolution of 16 days of the database products of the Brazilian Agricultural Research Corporation (ESQUERDO et al, 2010)

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Summary

Introduction

Soybean cultivation is of great importance in the world agriculture, according to FAOSTAT (2015) the production in 2010, 2011, 2012, 2013 and 2014 were respectively 265; 261; 241; 277 and 306 million tons worldwide. According to CONAB (2014) in the 2011/2012 crop year, drought in the Brazilian producing regions has reduced production. In the crop year of 2012/2013, 29.43% of all soybeans produced in the world were produced in Brazil, and the state of Paraná being the second largest producer of this commodity in the country. The crops productivity can be estimated from agrometeorological models (FONTANA et al, 2001). Water availability, photoperiod and temperature are the factors that most affect soybean productivity (FARIAS et al, 2007). The effects of water deficit depend on its intensity, duration, time of occurrence and interaction with other determining components of the final productivity (FONTANA et al, 2001)

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