Suscetibilidade Magnética Como Indicador De Qualidade Do Solo Em áreas Sob Cultivo De Cana-de-açúcar

Sugarcane management practices (unburned cane - UC and burned cane - BC) interfere with dynamics of soil magnetic properties. This study focused on determining the potential of magnetic susceptibility as soil quality indicator in areas under sugarcane cultivation. The experiment area is on the limit between basalt from São Bento Group, Serra Geral Formation, and sandstone from Bauru Group - Adamantina Formation. Twenty soil samples were collected from two management areas (burned and unburned sugarcane prior to harvest) at a depth range of 0.0-0.2 m. Local soil was classified as eutroferric Red Latosol (Oxisol), with highly clayey texture. Chemical and physical properties, CO2 emissions and magnetic susceptibility (MS) in air-dried fine earth (MSADFE), total sand fraction (MSTS) and clay fraction (MSCF). The magnetic signature from MS was effective in identifying changes of physical, chemical and mineralogical traits in Latosols under burned and unburned sugarcane crop. The information provided here can guide further studies on the genesis of minerals with magnetic expression in environments and exposed to fire burning. © 2016, Universidade Federal Rural do Semi-Arid. All rights reserved.30228729

Soil management of sugarcane fields affecting CO2 fluxes

ABSTRACT The harvesting system of green sugarcane, characterized by mechanized harvesting and no crop burning, affects soil quality by increasing the remaining straw left on the soil surface after harvesting, thus, contributing to the improvement of physical, chemical, and microbiological soil attributes, influencing CO2 fluxes. This study aimed to evaluate CO2 fluxes and their relation to soil properties in sugarcane crops under different harvesting managements: burned (B), Green harvesting for 5 years (G-5) and Green harvesting for ten years (G-10). For this, a 1 ha sampling grid with 30 points was installed in each area, all located in the Northeast of São Paulo State, Brazil. In each point, CO2 fluxes were measured and the soil was sampled to analyze the microbial biomass, physical (soil moisture and temperature, mean weight diameter, bulk density, clay, macroporosity and microporosity) and chemical characterization (pH, organic C, base saturation and P). The CO2 fluxes were divided into four quantitative criteria: high, moderate, low and very low from the Statistical Division (mean, first quartile, median and third quartile) and the other data were classified according this criterion. The Principal Component Analysis (PCA) was used to identify the main soil attributes that influence CO2 fluxes. The results showed that G-10 CO2 fluxes were 28 and 41 % higher than those in the G-5 and B treatments, respectively. The PCA analysis showed that macroporosity was the main soil attribute that influenced the high CO2 fluxes

Characterization of potential CO2 emissions in agricultural areas using magnetic susceptibility

ABSTRACTSoil CO2 emissions (fCO2) in agricultural areas have been widely studied in global climate change research, but its characterization and quantification are restricted to small areas. Because spatial and time variability affect emissions, tools need to be developed to predict fCO2 for large areas. This study aimed to investigate soil magnetic susceptibility (MS) and its correlation with fCO2 in an agricultural environment. The experiment was carried out on a Typic Eutrudox located in Guariba-SP, Brazil. Results showed that there was negative spatial correlation between fCO2 and the magnetic susceptibility of Air Dried Soil (MSADS) up to 34.3 m distant. However, the fCO2 had no significant correlation with MSADS, magnetic susceptibility of sand (MSSAND) nor clay (MSCLAY). However, MSADS could be a supplemental mean of identifying regions of high fCO2 potential over large areas

Estimativa da área foliar de Euphorbia heterophylla Euphorbia heterophylla leaf area estimate

A estimativa da área foliar pode auxiliar na compreensão de relações de interferência entre plantas daninhas e cultivadas. Com o objetivo de obter uma equação que, através de parâmetros lineares dimensionais das folhas, permita determinar a área foliar estimada (Af') de Euphorbia heterophylla, estudaram-se relações entre a área foliar real e os parâmetros dimensionais do limbo foliar, como o comprimento ao longo da nervura principal (C) e a largura máxima (L) perpendicular à nervura principal. Foram analisados 200 limbos foliares, coletados em diferentes agroecossistemas na Universidade Estadual Paulista, campus de Jaboticabal. Os modelos estatísticos utilizados foram: linear, Y = a + bx; linear simples, Y = bx; geométrico, Y = ax b; e exponencial, Y = ab x. Todos os modelos analisados podem ser empregados na estimação da área foliar de E. heterophylla. Sugere-se optar pela equação linear simples envolvendo C*L, considerando o coeficiente linear igual a zero, em razão de sua praticidade. Desse modo, a estimativa da área foliar de E. heterophylla pode ser obtida pela equação Af' = 0,6816*(C*L).<br>Leaf area estimate may contribute to understand the relationships of interference among weeds and crops. The objective of this research was to obtain a mathematical equation to estimate the leaf area of Euphorbia heterophylla based on linear measures of the leaf blade. Correlation studies were carried out using the real leaf area and leaf length (C) and the maximum leaf width (L) of 200 leaf blades which were collected from several agroecosystems at Universidade Estadual Paulista in Jaboticabal, SP, Brazil. The evaluated statistic models were: linear Y = a + bx; simple linear Y = bx; geometric Y = ax b; and exponential Y = ab x. All of the evaluated models can be used for E. heterophylla leaf area estimation. The simple linear regression model is suggested using C*L and taking the linear coefficient equal to zero. Thus, an estimate of the leaf area of E. heterophylla can be obtained using the equation Af' = 0.6816*(C*L)

Determination of the leaf area of Merremia aegyptia

O conhecimento da área foliar de plantas daninhas pode auxiliar o estudo das relações de interferência entre elas e as culturas agrícolas. O objetivo desta pesquisa foi determinar uma equação matemática que estime a área foliar de Merremia aegyptia, a partir da relação entre as dimensões lineares dos limbos foliares. Folhas da espécie foram coletadas de diferentes locais na Universidade Estadual Paulista, Jaboticabal, Brasil, medindo-se o comprimento (C), a largura máxima (L) e a área foliar de três tipos de folíolos. Foram estimadas equações lineares (Y = a*X) para cada tipo de folíolo. A área foliar da espécie pode ser estimada pelo somatório das áreas dos limbos foliares de cada tipo de folíolo, por meio da equação AFest = 0,547470(X) + 1,145298(Y) + 1,244146(Z), em que X indica C*L do folíolo principal e Y e Z indicam C*L médios dos folíolos primário e secundário, respectivamente.Weed leaf area knowledge can provide a support to study the relationships of interference between weeds and crops. The objective of this research was to determine a mathematical equation to estimate the leaf area of Merremia aegyptia based on the relation among the linear measures of the leaf blades. Leaves of this species were gathered from different places at São Paulo State University, Jaboticabal, Brazil, by measuring length (L), maximum width (W,) and leaf area of three types of leaflets. Linear equations (Y = a*X) were estimated for each type of leaflet. The leaf area of the species can be estimated by the sum of the leaf areas of each leaflet type according to the equation LAest = 0.547470(X) + 1.145298(Y) + 1.244146(Z), where X indicates L*W of the main leaflet, and Y and Z indicate the medium L*W of the primary and secondary leaflets, respectively