Abstract
The objective of this work was to evaluate the chemical composition of the macronutrients: nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg) and sulfur (S), and micronutrients: boron (Cu), iron (Fe), manganese (Mn), molybdenum (Mo) and zinc (Zn), and the elements aluminum (Al) and sodium (Na) measured in soybean seeds from different producing regions of Brazil. This work was carried out by sampling 2543 lots of soybean seeds produced in the 2009, 2010, 2011 and 2012 growing seasons. There is high variability of macro and micronutrients concentration in soybean seeds produced in several regions of Brazil. The nitrogen, potassium, phosphorus, and calcium are the most pronounced macronutrients in soybean seeds. Among the micronutrients, iron, manganese and zinc are those with more evidence. Understanding macro and micronutrients variability is critical for improving management and fertility treats in soybean seed production fields.
Highlights
Soybean cultivation is widely distributed in Brazil, as the country is the second largest producer of this crop in the world
Soybeans production in the 2016/2017 harvest was over 114 million tons in an area of 33 million hectares (CONAB, 2017)
This mineral is highly required by plants, being available in the soil as ammonium, nitrate, aminoacids, peptides and complex insoluble forms
Summary
Soybean cultivation is widely distributed in Brazil, as the country is the second largest producer of this crop in the world. The study about quality of soybean seeds has increased in the last years, considering its importance for establishing the field (Carvalho et al, 2015). Soybeans production in the 2016/2017 harvest was over 114 million tons in an area of 33 million hectares (CONAB, 2017). The increase in soybean production in Brazil is due to technologies and inputs employed, which allow the cultivar to express its genetic and physiological potential (Demari et al, 2016). The term seed quality is defined as a set of characteristics that determine their value for sowing, and their performance potential can only be consistently identified when considering the interactions among genetic, physical, physiological and sanitary attributes (Peske et al, 2012)
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