Sugarcane yield and quality using soil magnetic susceptibility

The concept of production environments, which is widely used to classify the yield potential of soils, and magnetic susceptibility (MS), is emerging as an important tool for mapping ultra-detailed areas. Given this background, this paper aims to evaluate the use of MS as a tool for the identification of areas with different potential the enhancing of sugarcane yield and quality, and the allocation of varieties. An area of 445 ha was sampled at 1 point every 7 ha, and 14 points were determined for stratified sampling following the top of the landscape. Particle size and MS of samples at depths of 0.0-0.2 and 0.2-0.4 m were analyzed. The data on yield and quality of raw material were obtained from a nine crop season database and biometry performed in the 2018/19 crop season. The multivariate analysis of historical results showed the formation of three groups with different yield and quality potential, with a difference of up to 17.28 mg of cane per hectare between the group with the highest and lowest potential, based on soil MS. An analysis of the performance of the varieties involved showed that MS is effective in identifying areas with different potential for sugarcane yield and quality, differentiating by up to 34.5 % the performance of the same variety in different MS classes and by up to 38.5 % the performance of different varieties in similar MS classes. Thus, MS is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field.

Fractionation of heavy metals in yellow latosol cultivated with vegetables / Fracionamento de metais pesados em latossolo amarelo sob cultivo de hortaliças

Sequential extraction or chemical fractionation of heavy metals allows inferences to be made about their origin, occurrence, bioavailability, toxic potential and environmental contamination. Thus, the present study aimed to assess the distribution of Cu, Mn, Ni, Pb and Zn among the different soil fractions and landscape compartments of a yellow latosol cultivated with vegetables. Soil samples were collected from five areas cultivated with tomato (Lycopersicon esculentum, Mill.), lettuce (Lactuca sativa), chili pepper (Capsicum annuum L.) and chard (Beta vulgaris L.) in different slope positions (upper, middle, lower), and four reference areas (native forest), at a depth of 0.00 - 0.20 m. Heavy metal levels were also assessed in water used to irrigate the crops and for human consumption by collecting 200 ml of water samples from reservoirs. The soil samples were sequentially fractionated to quantify the concentrations of adsorbed Cu, Mn, Ni, Pb and Zn in the exchangeable (EF), organic matter (OF), amorphous and crystalline iron oxide fractions (AFeOx and CFeOx). Landscape position only interfered significantly in heavy metal adsorption in the soil for Cu and Ni associated with CFeOx and Zn bound to the EF in the farming areas. The highest Cu, Ni, Pb and Zn levels were found in the fractions with less stable chemical bonds (bound to organic matter), in addition to a strong affinity between Cu, Zn and Mn and the oxide fractions (AFeOx + CFeOx). The low affinity of Pb and Ni for the AFeOx and CFeOx fractions indicates greater contamination potential for the water reservoirs. In the short term, organic matter is the main source of remediation for heavy metal contamination in soil, making it important to adopt conservation practices aimed at reducing OM losses.(AU)

Extrações sequenciadas ou fracionamento químico de metais pesados permitem inferências sobre origem, forma de ocorrência, biodisponibilidade, potencial de toxicidade e contaminação ambiental por esses elementos. Assim, o presente estudo foi desenvolvido com o propósito de avaliar a distribuição de Cu, Mn, Ni, Pb e Zn entre as diferentes frações do solo e compartimento da paisagem, de um Latossolo Amarelo sob cultivo de hortaliças. Foram coletadas amostras de solos de cinco áreas cultivadas com tomate (Lycopersicon esculentum, Mill.), alface (Lactuca sativa), pimentão (Capsicum annuum L.) e acelga (Beta vulgaris L.) em diferentes posições no relevo (topo, encosta, baixio) e quatro áreas de referência (mata nativa), na profundidade de 0,00 - 0,20 m. Também foram avaliados os teores de metais pesados na água destinada à irrigação das lavouras e ao consumo humano, coletando-se para isso, 200 ml de amostras de água dos reservatórios. As amostras de solo foram fracionadas sequencialmente para quantificação dos teores de Cu, Mn, Ni, Pb e Zn adsorvidos às frações trocável (FT), matéria orgânica (FO), óxido de ferro amorfo e cristalino (OxFeA e OxFeC). As posições da paisagem interferiram significativamente na adsorção de metais pesados no solo apenas para o Cu e o Ni ligados à OxFeC e para o Zn ligado à FT, nas áreas cultivadas. Os maiores teores de Cu, Ni, Pb e Zn no solo encontram-se nas frações com ligações químicas menos estáveis (ligados à matéria orgânica) sendo também encontrada forte afinidade de Cu, Zn e Mn às frações oxídicas (AFeOx + CFeOx). A baixa afinidade de Pb e Ni às OxFeA e OxFeC condiciona maior potencial de contaminação dos reservatórios hídricos. A curto prazo, a matéria orgânica é a principal fonte de remediação de metais pesados no solo, sendo importante a adoção de práticas conservacionistas que reduzam suas perdas.(AU)

Characterization, classification and analysis of the main properties of the Southwestern Goias soil / Caracterização, classificação e análise das principais propriedades dos solos do Sudoeste Goiano

Characterization of the soil and the grouping of its properties through main component analysis can assist in the classification and observation of the consequences of the conversion of native forest areas in pastures. Such data can aid in management practices. Considering the lack of studies in Cerrado soils of south-western Goias, developed metagranites of Jurubatuba suite, the objective was to classify and study the physical, chemical and mineralogical soil (under native forest and pasture) Southwest of Goias. Soil sampling and classification followed the Field Methods Manual and the Brazilian System of Soil Classification, respectively. The physical, chemical and mineralogical soil were studied, as well as main component analysis made for these attributes. The profile 1 under native forest was classified as Cambissolo Háplico Tb eutrófico latossólico. The profile 2 under degraded pasture was rated Latossolo Amarelo eutrófico típico. In addition, the profile 3 under rotated pasture was rated as Latossolo Vermelho eutrófico chernossólico. It was observed that the Latossolos have higher bulk density and soil penetration resistance, indicating greater soil compaction. They showed high amounts of iron oxides and minor amount of nutrients such as calcium and magnesium. The principal component analysis allowed the grouping of profiles into two groups. Group 1 brought toget...(AU)

A caracterização do solo e o agrupamento de suas propriedades por meio de análise de componentes principais podem auxiliar na classificação e na observação das consequências da conversão de áreas de mata nativa em pastagens. Tais dados podem auxiliar nas práticas de manejo adotadas. Considerando a ausência de estudos em solos do Cerrado do sudoeste goiano, desenvolvidos de metagranitos da suíte Jurubatuba, o objetivo deste trabalho foi classificar e estudar as propriedades físicas, químicas e mineralógicas de solos (sob mata nativa e pastagens) do Sudeste Goiano. As coletas de solo e classificação seguiram o Manual de Métodos de Campo e o Sistema Brasileiro de Classificação de Solos, respectivamente. Foram estudadas as propriedades físicas, químicas e mineralógicas dos solos, bem como feitas análises de componentes principais desses atributos. O perfil 1 sob mata nativa foi classificado como Cambissolo Háplico Tb eutrófico latossólico. O perfil 2 sob pastagem extensiva foi classificado como Latossolo Amarelo eutrófico típico. E o perfil 3 sob pastagem rotacionada foi classificado como Latossolo Vermelho eutrófico chernossólico. Observou-se que os Latossolos apresentaram maiores valores de densidade do solo e resistência do solo à penetração, indicando maior compactação dos solos. Os mesmos apresentaram maiores quantidades de óxidos de ferro e menor quantidade de nutrientes, com...(AU)

Characterization, classification and analysis of the main properties of the Southwestern Goias soil / Caracterização, classificação e análise das principais propriedades dos solos do Sudoeste Goiano

Characterization of the soil and the grouping of its properties through main component analysis can assist in the classification and observation of the consequences of the conversion of native forest areas in pastures. Such data can aid in management practices. Considering the lack of studies in Cerrado soils of south-western Goias, developed metagranites of Jurubatuba suite, the objective was to classify and study the physical, chemical and mineralogical soil (under native forest and pasture) Southwest of Goias. Soil sampling and classification followed the Field Methods Manual and the Brazilian System of Soil Classification, respectively. The physical, chemical and mineralogical soil were studied, as well as main component analysis made for these attributes. The profile 1 under native forest was classified as Cambissolo Háplico Tb eutrófico latossólico. The profile 2 under degraded pasture was rated Latossolo Amarelo eutrófico típico. In addition, the profile 3 under rotated pasture was rated as Latossolo Vermelho eutrófico chernossólico. It was observed that the Latossolos have higher bulk density and soil penetration resistance, indicating greater soil compaction. They showed high amounts of iron oxides and minor amount of nutrients such as calcium and magnesium. The principal component analysis allowed the grouping of profiles into two groups. Group 1 brought toget...

A caracterização do solo e o agrupamento de suas propriedades por meio de análise de componentes principais podem auxiliar na classificação e na observação das consequências da conversão de áreas de mata nativa em pastagens. Tais dados podem auxiliar nas práticas de manejo adotadas. Considerando a ausência de estudos em solos do Cerrado do sudoeste goiano, desenvolvidos de metagranitos da suíte Jurubatuba, o objetivo deste trabalho foi classificar e estudar as propriedades físicas, químicas e mineralógicas de solos (sob mata nativa e pastagens) do Sudeste Goiano. As coletas de solo e classificação seguiram o Manual de Métodos de Campo e o Sistema Brasileiro de Classificação de Solos, respectivamente. Foram estudadas as propriedades físicas, químicas e mineralógicas dos solos, bem como feitas análises de componentes principais desses atributos. O perfil 1 sob mata nativa foi classificado como Cambissolo Háplico Tb eutrófico latossólico. O perfil 2 sob pastagem extensiva foi classificado como Latossolo Amarelo eutrófico típico. E o perfil 3 sob pastagem rotacionada foi classificado como Latossolo Vermelho eutrófico chernossólico. Observou-se que os Latossolos apresentaram maiores valores de densidade do solo e resistência do solo à penetração, indicando maior compactação dos solos. Os mesmos apresentaram maiores quantidades de óxidos de ferro e menor quantidade de nutrientes, com...

Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane

Soil CO2 emission (FCO2) is one of the main sources of carbon release into the atmosphere. Moreover, FCO2 is related to soil attributes governing the transfer of gases from soil to the atmosphere. This study aimed firstly to describe the spatial variability of hematite (Hm), goethite (Gt), iron extracted with sodium dithionite-citrate-bicarbonate (Fed) contents, soil CO2 emission (FCO2) and free-water porosity (FWP) and secondly, to develop statistical models to predict the above mentioned factors in an Oxisol cultivated under manual harvesting of sugarcane (Saccharumspp.) in southeastern Brazil. The study was conducted on an irregular 50 m × 50 m grid containing 89 points, each 0.5-10 m apart. The 0-0.1 m soil layer at each sampling point was used to assess soil FCO2, moisture and total pore volume. The results were subjected to descriptive statistical and geostatistical analyses using auto- and cross-semivariograms. All soil attributes exhibited a spatial dependence structure and the experimental semivariograms fitted spherical and exponential models. The Gt content was the individual attribute that exhibited the highest linear and spatial correlation, especially with FCO2. We were able to use diffuse reflectance spectroscopy to map large areas, which allows for easy identification and estimation of soil attributes such as FCO2 and FWP. Geostatistical techniques faciltate the interpretation of spatial relationships between soil respiration and the examined properties.

Field-scale spatial correlation between contents of iron oxides and CO2 emission in an Oxisol cultivated with sugarcane

Soil CO2 emission (FCO2) is one of the main sources of carbon release into the atmosphere. Moreover, FCO2 is related to soil attributes governing the transfer of gases from soil to the atmosphere. This study aimed firstly to describe the spatial variability of hematite (Hm), goethite (Gt), iron extracted with sodium dithionite-citrate-bicarbonate (Fed) contents, soil CO2 emission (FCO2) and free-water porosity (FWP) and secondly, to develop statistical models to predict the above mentioned factors in an Oxisol cultivated under manual harvesting of sugarcane (Saccharumspp.) in southeastern Brazil. The study was conducted on an irregular 50 m × 50 m grid containing 89 points, each 0.5-10 m apart. The 0-0.1 m soil layer at each sampling point was used to assess soil FCO2, moisture and total pore volume. The results were subjected to descriptive statistical and geostatistical analyses using auto- and cross-semivariograms. All soil attributes exhibited a spatial dependence structure and the experimental semivariograms fitted spherical and exponential models. The Gt content was the individual attribute that exhibited the highest linear and spatial correlation, especially with FCO2. We were able to use diffuse reflectance spectroscopy to map large areas, which allows for easy identification and estimation of soil attributes such as FCO2 and FWP. Geostatistical techniques faciltate the interpretation of spatial relationships between soil respiration and the examined properties.(AU)

Clay mineralogy and magnetic susceptibility of Oxisols in geomorphic surfaces

Studies analyzing the variability of clay minerals and magnetic susceptibility provide data for the delineation of site-specific management areas since many of their attributes are important to agronomy and the environment. This study aimed to evaluate the spatial variability of clay minerals, magnetic susceptibility, adsorbed phosphorus and physical attributes in Oxisols of sandstones in different geomorphic surfaces. For that purpose, soil samples were collected every 25 m along a transect located within the area where the geomorphic surfaces were identified and mapped. The transect occupied the central portion of 500 ha, where it was also sampled for density purposes with one sample per six hectares. Soil samples were collected at a depth of 0.0-0.2 m. The results of the physical, chemical, mineralogical and magnetic susceptibility analyses were subjected to statistical and geostatistical analyses. The nature of the clay minerals and magnetic susceptibility was dependent on the variation of the soil parent material. High values of magnetic susceptibility were associated with the presence of maghemite and magnetite of coarse size. The spatial variability of crystallinity and the content of Fe oxides, as well as magnetic susceptibility, were dependent on the age of the geomorphic surfaces. The youngest surface had greater spatial variability of these attributes. The iron (goethite and hematite) and aluminum (gibbsite) oxides in the youngest geomorphic surface influenced the low values of soil density and high values of total pore volume, micropores and P adsorption. The characterization of the spatial variability of Fe oxides and susceptibility allowed for the delineation of homogeneous areas.(AU)

Clay mineralogy and magnetic susceptibility of Oxisols in geomorphic surfaces

Studies analyzing the variability of clay minerals and magnetic susceptibility provide data for the delineation of site-specific management areas since many of their attributes are important to agronomy and the environment. This study aimed to evaluate the spatial variability of clay minerals, magnetic susceptibility, adsorbed phosphorus and physical attributes in Oxisols of sandstones in different geomorphic surfaces. For that purpose, soil samples were collected every 25 m along a transect located within the area where the geomorphic surfaces were identified and mapped. The transect occupied the central portion of 500 ha, where it was also sampled for density purposes with one sample per six hectares. Soil samples were collected at a depth of 0.0-0.2 m. The results of the physical, chemical, mineralogical and magnetic susceptibility analyses were subjected to statistical and geostatistical analyses. The nature of the clay minerals and magnetic susceptibility was dependent on the variation of the soil parent material. High values of magnetic susceptibility were associated with the presence of maghemite and magnetite of coarse size. The spatial variability of crystallinity and the content of Fe oxides, as well as magnetic susceptibility, were dependent on the age of the geomorphic surfaces. The youngest surface had greater spatial variability of these attributes. The iron (goethite and hematite) and aluminum (gibbsite) oxides in the youngest geomorphic surface influenced the low values of soil density and high values of total pore volume, micropores and P adsorption. The characterization of the spatial variability of Fe oxides and susceptibility allowed for the delineation of homogeneous areas.

Espectros de reflectância difusa como técnica auxiliar na caracterização da emissão de CO2 e atributos do solo

O objetivo deste estudo foi avaliar o potencial da espectroscopia de reflectância difusa (ERD) no auxílio da caracterização da emissão de CO2 e atributos do solo. O estudo foi realizado em uma malha irregular de 50 m x 50 m, contendo 89 pontos, com espaçamento mínimo de 0,50 m e máximo de 10 m entre pontos, na camada de 0,00 ? 0,10 m de profundidade. Foram realizadas correlações lineares dos minerais hematita (Hm) e goethita (Gt), determinados pela ERD, com a emissão de CO2 do solo (FCO2) e outros atributos. A caracterização anisotrópica das variáveis foi realizada para as direções 0°, 45°, 90° e 135° em relação à linha de plantio (0°). Os resultados indicam que a ERD é um método eficiente na identificação e quantificação indireta da Hm e Gt. Os valores de respiração do solo medidos no campo foram correlacionados com os teores de Hm (R2 = 0,41), Gt (R2 = 0,42) e ferro ditionito (Fed) (R2 = 0,34). A porosidade livre de água (PLA) também foi correlacionada com os teores de Hm (R2 = 0,41), Gt (R2 = 0,39) e Fed (R2 = 0,46). A análise de geoestatística indicou a existência de anisotropia de todas variáveis estudadas, inclusive dos atributos mineralógicos, indicando grau de dependência espacial moderada a forte para quase todos os atributos do solo. As variáveis que melhor explicaram as variações anisotrópicas da emissão de CO2 do solo foram PLA (58%), umidade do solo (54%), Hm (13%), Fed (8%) e temperatura do solo (7%). Esses resultados provam que essa técnica inovadora é uma alternativa atraente para auxiliar a quantificação indireta de atributos do solo e no levantamento da FCO2, mostrando seu potencial em substituir grande parte das análises laboratoriais convencionais. Além disso, essa metodologia auxilia a verificação rápida do comportamento anisotrópico da FCO2 e demais atributos do solo, podendo...

The aim of this study was to evaluate the potential of diffuse reflectance spectroscopy characterize the emission of CO2 and soil attributes. The study was conducted by using an irregular grid 50 × 50 m containing 89 points with minimum spacing 0.50 m up to 10 m between points, to measure CO2 emissions and other properties in the uppermost layer (0,00 ? 0,10 m). Linear correlations were made of hematite and goethite determined by ERD with the CO2 emission and soil attributes. The characterization of anisotropic variables was carried out for the directions 0°, 45°, 90° and 135° relative to each row (0°). The results indicate that the ERD is an efficient method to identify and quantify indirect Hm and Gt. The values of soil respiration measured in the field were correlated with the levels of Hm (R2 = 0.41), Gt (R2 = 0.42) and iron dithionite (Fed) (R2 = 0.34). The porosity-free water (PLA) was also correlated with the levels of Hm (R2 = 0.41), GT (R2 = 0.39) and Fed (R2 = 0.46). The geostatistical analysis indicated the existence of anisotropy of all variables, including the mineralogical attributes, indicating level of moderate to strong spatial dependence for almost all soil attributes. The variables that best explained the variations of the anisotropic emission of CO2 from the soil were PLA (58%), soil moisture (54%), Hm (13%), Fed (8%) and soil temperature (7%). These results prove that this innovative technique is an attractive alternative to assist the indirect quantification of soil and lifting of FCO2, showing its potential to replace much of the conventional laboratory tests. Furthermore, this methodology helps quick check of the anisotropic behavior of FCO2 and other soil and can be used to facilitate mapping of emissions over large...

Fractionation of heavy metals in yellow latosol cultivated with vegetables / Fracionamento de metais pesados em latossolo amarelo sob cultivo de hortaliças

Sequential extraction or chemical fractionation of heavy metals allows inferences to be made about their origin, occurrence, bioavailability, toxic potential and environmental contamination. Thus, the present study aimed to assess the distribution of Cu, Mn, Ni, Pb and Zn among the different soil fractions and landscape compartments of a yellow latosol cultivated with vegetables. Soil samples were collected from five areas cultivated with tomato (Lycopersicon esculentum, Mill.), lettuce (Lactuca sativa), chili pepper (Capsicum annuum L.) and chard (Beta vulgaris L.) in different slope positions (upper, middle, lower), and four reference areas (native forest), at a depth of 0.00 - 0.20 m. Heavy metal levels were also assessed in water used to irrigate the crops and for human consumption by collecting 200 ml of water samples from reservoirs. The soil samples were sequentially fractionated to quantify the concentrations of adsorbed Cu, Mn, Ni, Pb and Zn in the exchangeable (EF), organic matter (OF), amorphous and crystalline iron oxide fractions (AFeOx and CFeOx). Landscape position only interfered significantly in heavy metal adsorption in the soil for Cu and Ni associated with CFeOx and Zn bound to the EF in the farming areas. The highest Cu, Ni, Pb and Zn levels were found in the fractions with less stable chemical bonds (bound to organic matter), in addition to a strong affinity between Cu, Zn and Mn and the oxide fractions (AFeOx + CFeOx). The low affinity of Pb and Ni for the AFeOx and CFeOx fractions indicates greater contamination potential for the water reservoirs. In the short term, organic matter is the main source of remediation for heavy metal contamination in soil, making it important to adopt conservation practices aimed at reducing OM losses.

Extrações sequenciadas ou fracionamento químico de metais pesados permitem inferências sobre origem, forma de ocorrência, biodisponibilidade, potencial de toxicidade e contaminação ambiental por esses elementos. Assim, o presente estudo foi desenvolvido com o propósito de avaliar a distribuição de Cu, Mn, Ni, Pb e Zn entre as diferentes frações do solo e compartimento da paisagem, de um Latossolo Amarelo sob cultivo de hortaliças. Foram coletadas amostras de solos de cinco áreas cultivadas com tomate (Lycopersicon esculentum, Mill.), alface (Lactuca sativa), pimentão (Capsicum annuum L.) e acelga (Beta vulgaris L.) em diferentes posições no relevo (topo, encosta, baixio) e quatro áreas de referência (mata nativa), na profundidade de 0,00 - 0,20 m. Também foram avaliados os teores de metais pesados na água destinada à irrigação das lavouras e ao consumo humano, coletando-se para isso, 200 ml de amostras de água dos reservatórios. As amostras de solo foram fracionadas sequencialmente para quantificação dos teores de Cu, Mn, Ni, Pb e Zn adsorvidos às frações trocável (FT), matéria orgânica (FO), óxido de ferro amorfo e cristalino (OxFeA e OxFeC). As posições da paisagem interferiram significativamente na adsorção de metais pesados no solo apenas para o Cu e o Ni ligados à OxFeC e para o Zn ligado à FT, nas áreas cultivadas. Os maiores teores de Cu, Ni, Pb e Zn no solo encontram-se nas frações com ligações químicas menos estáveis (ligados à matéria orgânica) sendo também encontrada forte afinidade de Cu, Zn e Mn às frações oxídicas (AFeOx + CFeOx). A baixa afinidade de Pb e Ni às OxFeA e OxFeC condiciona maior potencial de contaminação dos reservatórios hídricos. A curto prazo, a matéria orgânica é a principal fonte de remediação de metais pesados no solo, sendo importante a adoção de práticas conservacionistas que reduzam suas perdas.