Oil and protein contents yield maps and soil attributes correlation analysis for soybean grains. / Mapeamento dos teores de óleo e proteína de grãos de soja e análise de sua correlação com atributos do solo.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2003

RESUMO

The purpose of the present study was to determine the spatial variability of oil and protein contents in soybean grains and to correlate these characteristics with soil attributes. In a 9.01ha field, 170 samples were taken at the nodes of a 25m regular grid. Within a 1-m radius around the georeferenced node, all soybean grains were collected, as well as 7 soil subsamples, constituting one compound sample. One of the most important and delicate aspects of Precision Agriculture is correlating data to explain the spatial yield variability of agricultural crops. There are several attributes that can influence oil (percentage of ethereal extract in dry matter – %E.E.D.M.) and protein (percentage of gross protein in dry matter – %G.P.D.M.) amounts in soybean grains, such as, those related to the soil (compaction, structure, nutrients, texture, moisture), plants (nutrients absorbed, rooting, water availability in the leaves, pest attacks) and climate (solar radiation, wind, temperature and humidity). Considering the attributes studied, poor correlation was verified between the spatial variability of soil fertility and texture with oil (percentage of ethereal extract in dry matter – %E.E.D.M.) and protein (percentage of gross protein in dry matter – %G.P.D.M.) amounts in soybean grains from the experimental area. A low coefficient of determination for the multiple linear regression analysis was obtained for the attributes oil and protein contents. Using geostatistical analysis, no spatial dependence was verified for the variables oil (ethereal extract in dry matter – %E.E.D.M.), protein (gross protein in dry matter – %G.P.D.M.), clay and boron amounts. The soil attributes (silt, H+Al, D.M., Ca, Mg, K, SB, CEC, V%, Mn and Cu) showed excellent coefficients of determination in the experimental area, with all coefficients above 85%, except for K, which showed coefficients between 75% and 85%, which are considered good.

ASSUNTO(S)

teor de óleo spatial variability. mapping propriedade físico-química do solo teor protéico protein content grão de soja soybean grain variabilidade espacial. oil content mapeamento physical and chemical properties of soil

ACESSO AO ARTIGO

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