scholarly journals Spatial variability of some biometricattributes of sugarcane plants (variety IACSP93-3046) and its relation to physical and chemical soil attributes

Bragantia ◽  
2010 ◽  
Vol 69 (suppl) ◽  
pp. 107-119 ◽  
Author(s):  
Célia Regina Grego ◽  
Sidney Rosa Vieira ◽  
Mauro Alexandre Xavier
Keyword(s):  
Spatial Variability ◽  
Sugar Cane ◽  
Spatial Dependence ◽  
Central Area ◽  
Stalk Diameter ◽  
Chemical Soil ◽  
Chemical Attributes ◽  
Physical And Chemical ◽  
Resistance To Penetration ◽  
Soil Spatial Variability

Tests to evaluate competition between plants, in general do not consider the soil spatial variability, nevertheless, the uniformity rarely is present and can not be assumed without verification. The aim of this work was to apply geostatistics to verify the spatial variability of the soil in an experimental field near Ribeirão Preto, SP, with sugarcane variety IACSP93-3046. Ninety seven geo-referenced samples, placed at distances of 10 m, were collected for soil chemical analysis, soil resistance to penetration and biometric evaluation of the sugar cane plant included number of tillers, stalk diameter, stalk height, estimated productivity (TSSe) and root density. Geostatistics has been applied by means of semivariogram, data interpolation via kriging and iso-line maps creation. The results have shown soil spatial dependence for most of the evaluated attributes. The spots, within the area, with low resistance to penetration and low soil density have shown the largest number of tillers and the largest root development of sugar cane. For soil chemical attributes, there was spatial dependence showing higher concentration of nutrients in the central area. The sampling allowed a good representativity of the spatial dependence of soil and plants, making it possible to eliminate the randomness hypothesis for the placement of the plots in this area.

scholarly journals Magnetic susceptibility for characterizing areas with different potentials for sugarcane production

2016 ◽  
Vol 51 (9) ◽  
pp. 1349-1358 ◽  
Author(s):  
Diego Silva Siqueira ◽  
José Marques Júnior ◽  
Daniel De Bortoli Teixeira ◽  
Sammy Sidney Rocha Matias ◽  
Livia Arantes Camargo ◽  
...  
Keyword(s):  
Magnetic Susceptibility ◽  
Spatial Variability ◽  
Exchange Capacity ◽  
Strongly Correlated ◽  
Soil Attributes ◽  
Sugarcane Production ◽  
Sugarcane Yield ◽  
Chemical Attributes ◽  
Physical And Chemical ◽  
Variability Model

Abstract The objective of this work was to evaluate the use of magnetic susceptibility for characterizing the spatial variability of soil attributes and identifying areas with different potentials for sugarcane (Saccharum spp.) production. Samples were collected at 110 points (1 per 7 ha) in the layers of 0.00-0.20 and 0.20-0.40 m, to determine the magnetic susceptibility and physical and chemical attributes of the soil. Fiber content, sucrose polarization (POL), and sugarcane yield were determined in 33 points. The spatial variability model for magnetic susceptibility was 63 and 22% more accurate in delimiting soil potential for sugarcane production than soil physical and chemical attributes at the 0.0-0.2 and 0.2-0.4-m layers, respectively. The spatial variability map for magnetic susceptibility was strongly correlated with clay (0.83 and 0.89, respectively, for the layers) and sand contents (-0.84 and -0.88); moderately correlated with organic matter (-0.25 and -0.35), sum of bases (-0.46 and 0.37), cation exchange capacity (0.22 and 0.47), pH (-0.52 and 0.13), and POL (0.43 and 0.53); and weakly correlated with sugarcane yield (0.26 and 0.23). Magnetic susceptibility can be used to characterize the spatial variability of soil attributes and to identify areas with different potentials for sugarcane production.

Spatial variability analysis and mapping of soil physical and chemical attributes in a salt-affected soil

2019 ◽  
Vol 12 (3) ◽  
Author(s):  
Masoomeh Delbari ◽  
Peyman Afrasiab ◽  
Bahram Gharabaghi ◽  
Meysam Amiri ◽  
Armand Salehian
Keyword(s):  
Spatial Variability ◽  
Variability Analysis ◽  
Salt Affected Soil ◽  
Chemical Attributes ◽  
Physical And Chemical

scholarly journals Small relief shape variations influence spatial variability of soil chemical attributes

2006 ◽  
Vol 63 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Zigomar Menezes de Souza ◽  
José Marques Júnior ◽  
Gener Tadeu Pereira ◽  
Diogo Mazza Barbieri
Keyword(s):  
Spatial Variability ◽  
Cation Exchange ◽  
Sugar Cane ◽  
Management System ◽  
Cation Exchange Capacity ◽  
Exchange Capacity ◽  
Soil Samples ◽  
Base Saturation ◽  
Chemical Attributes

Soils with small variations in relief and under the same management system present differentiated spatial variabilities of their attributes. This variability is a function of soil position in the landscape, even if the relief has little expression. The aim of this work was to investigate the effects of relief shape and depth on spatial variability of soil chemical attributes in a Typic Hapludox cultivated with sugar cane at two landscape compartments. Soil samples were collected in the intercrossing points of a grid, in the traffic line, at 0-0.2 m and 0.6-0.8 m depths, comprising a set of 100 georeferenced points. The spatial variabilities of pH, P, K, Ca, Mg, cation exchange capacity and base saturation were quantified. Small relief shape variations lead to differentiated variability in soil chemical attributes as indicated by the dependence on pedoform found for chemical attributes at both 0-0.2 m and 0.6-0.8 m depths. Because of the higher variability, it is advisable to collect large number of samples in areas with concave and convex shapes. Combining relief shapes and geostatistics allows the determination of areas with different spatial variability for soil chemical attributes.

scholarly journals Physical and Chemical Attributes of Yellow Oxisol With the Application of Cassava Wastewater After Intensive Mechanical Preparation

2019 ◽  
Vol 11 (6) ◽  
pp. 113
Author(s):  
Iara Oliveira Fernandes ◽  
José Fernandes de Melo Filho ◽  
Karolina Oliveira Rocha Montenegro ◽  
Ésio de Castro Paes ◽  
Sergio Ricardo Matos Almeida ◽  
...  
Keyword(s):  
Experimental Design ◽  
Total Porosity ◽  
Dry Mass ◽  
Soil Density ◽  
Mechanical Preparation ◽  
Spontaneous Vegetation ◽  
Chemical Attributes ◽  
Cassava Wastewater ◽  
Physical And Chemical ◽  
Resistance To Penetration

The objective of this work was to evaluate the effect of the application of cassava wastewater in the production of dry mass of the spontaneous vegetation and in the physical and chemical attributes of a Dystrocohesive Yellow Oxisol submitted to intensive mechanical preparation in the Bahia Recôncavo. The experimental design was a 2 × 2 factorial scheme in 4 randomized blocks, the bands consisting of the intensity of the mechanical preparation of plowing followed by sorting: T0: without preparation; T1: 4 preparations; T2: 8 preparations and T3: 12 preparations; the first factor is the presence of cassava wastewater: M-with cassava wastewater; W-only water and the second factor presence or not of vegetation: CV-with vegetation and SV-without vegetation. The results of the analysis of soil attributes in the depth of 0.0-0.15 m showed that the pH, saturation by base (V%), macroporosity (Ma) and total porosity (TP) decreased linearly with the increase of the intensity of the mechanical preparation, however soil density (SD) increased. The application of cassava wastewater reduced the resistance to penetration (PR), pH and Ca2+ and V% of the soil and increased the dry mass productivity of the spontaneous vegetation and the contents of phosphor.

scholarly journals Spatial variability and sampling density of chemical attributes in archaeological black earths under pasture in southern Amazonas, Brazil

2019 ◽  
Author(s):  
Alan F. L. de Lima ◽  
Milton C. C. Campos ◽  
José M. da Cunha ◽  
Laércio S. Silva ◽  
Flávio P. de Oliveira ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Spatial Dependence ◽  
Spatial Behavior ◽  
Dependence Structure ◽  
Sampling Efficiency ◽  
Sampling Density ◽  
Agricultural Planning ◽  
Chemical Attributes ◽  
Spatial Dependence Structure ◽  
Potential Acidity

Abstract. Spatial mapping of soil chemical attributes is essential for sampling efficiency and agricultural planning management, ensuring a regional development and sustainability of the unique characteristics of archaeological black earths (ABEs). Thus, this study was developed aiming at assessing the spatial variability and sampling density of chemical attributes in soils of ABEs under pasture in southern Amazonas, Brazil. A sampling grid of 56 × 80 m with regular spacings of 8 m was installed in the experimental area and samples were taken from the crossing points at depths of 0.0–0.05, 0.05–0.10, and 0.10–0.20 m, totaling 264 georeferenced points. The chemical attributes pH in water, organic carbon, Ca, Mg, K, P, Al, and potential acidity were determined in these samples, while CEC, SB, V, t, T, and m were calculated. The attributes present a spatial dependence varying from strong to moderate, being Al3+ the only chemical attribute that does not present a spatial dependence structure in the assessed depths. Scaled semivariograms satisfactorily reproduce the spatial behavior of attributes in the same pattern of individual semivariograms, allowing their use to estimate the variability of soil attributes. Sampling density is higher at a depth of 0.0–0.05 m, requiring 2 and 1 point ha−1 at depths of 0.05–0.10 and 0.10–0.20 m, respectively, to represent the spatial pattern of chemical attributes.

scholarly journals Spatial variability of physical and chemical attributes of some forest soils in southeastern of Brazil

2011 ◽  
Vol 68 (6) ◽  
pp. 697-705 ◽  
Author(s):  
Clayton Alcarde Alvares ◽  
José Leonardo de Moraes Gonçalves ◽  
Sidney Rosa Vieira ◽  
Cláudio Roberto da Silva ◽  
Walmir Franciscatte
Keyword(s):  
Spatial Variability ◽  
Forest Soils ◽  
Chemical Attributes ◽  
Physical And Chemical

scholarly journals Soil attributes and weed seedbank spatial correlation

2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Ígor Araujo Menezes De Avila ◽  
Sandro Manuel Carmelino Hurtado ◽  
Gabriel Camargo De Jezus ◽  
Gustavo Costa Silva ◽  
Matheus Mendes Rezende
Keyword(s):  
Spatial Distribution ◽  
Spatial Variability ◽  
Crop Yield ◽  
Yield Potential ◽  
Soil Attributes ◽  
Average Value ◽  
Chemical Attributes ◽  
Reducing Costs ◽  
Herbicide Management ◽  
Physical And Chemical

The crop yield potential is affected by the crop-weed competition and their control create a dependence on herbicide use who brings, as consequence, soil impacts. Knowing the weed’s spatial distribution on the field is a feasible alternative for improving the crop yield. The goal of this paper is the identification of the spatial variability on physical and chemical attributes of soil as well as the weed’s seedbank so that, when correlated, may find standards to help on field management. The experiment was conducted on Uberlandia Federal University premises at soybean no-till area. Using georeferenced soil samples, were analyzed the physical and chemical attributes as well as the weed’s seedbank. The weed population on controlled environment was quantify, sorting out broadleaf and grassy weeds species. The obtained data were analyzed by descriptive statistic and geostatistics for a semivariogram modeling, interpolation by the kriging methodology and the spatial variability maps achievement. The average value, coefficient of variation (CV%), asymmetry, kurtosis coefficient and the significant linear correlations interfered on data spatial variability which we concluded by the spatial dependences on the attributes that had a linear correlation between them. The semivariograms presented varied range between 202 to 752 meters. Using the maps, verified two different regions for the broadleaf and grassy weeds seedbank. For both situations there was influence by the soil attributes on infestation level, which makes it possible to target the herbicide management reducing costs and the environmental impact. From the analyzed data we conclude that there is a spatial dependence for the physical and chemical soil attributes and their spatial distribution explains the weed seedbank spatial variability.

VARIABILIDADE ESPACIAL DE ATRIBUTOS QUÍMICOS EM UM LATOSSOLO VERMELHO AMARELO SOB CULTIVO COM GOIABA (Psidium guajava L.)

2017 ◽  
Vol 32 (1) ◽  
pp. 96
Author(s):  
José Marcílio Da Silva ◽  
Lucas Figueira Da Silva ◽  
Daniel Rosendo Da Silva Sobrinho ◽  
João Pedro Figueira Da Silva
Keyword(s):  
Spatial Variability ◽  
Spatial Dependence ◽  
Soil Management ◽  
Theoretical Models ◽  
Psidium Guajava ◽  
Geostatistical Analysis ◽  
Regular Grid ◽  
Semivariogram Model ◽  
Chemical Attributes ◽  
Geostatistics Analysis

O objetivo do trabalho foi avaliar a variabilidade espacial de atributos químicos do solo sob cultivo com goiaba por meio da análise de geoestatística nas profundidades de 0,0-0,10 m e 0,10-0,20 m. Foi realizado amostragem regionalizada utilizando malha regular com dimensão de 50 m x 50 m, totalizando 36 pontos georreferenciado equidistantes 10 m. A análise geoestatística foi utilizada para a determinação de modelos teóricos de variogramas e para a interpolação por krigagem dos dados que foram gerados, a fim de analisar a variabilidade espacial dos atributos dos solos. O pH apresentou variabilidade espacial baixa nas duas profundidades e o Al na profundidade de 0,10-0,20 m com moderada variabilidade espacial na profundidade de 0,0-0,10 m. O Ca e Mg apresentaram moderada  variabilidade espacial nas duas profundidades. O modelo esférico de semivariograma foi ajustado para todos atributos nas duas profundidades, com alcances variando entre 12,5 m e 24,1 m para os atributos pH e Al, respectivamente.PALAVRAS-CHAVE: Geoestatística, manejo do solo, dependência espacial, krigagem. SPATIAL VARIABILITY OF THE CHEMICAL ATTRIBUTES IN A RED-YELLOW LATOSOL UNDER CULTIVATION CONTINUOUSABSTRACT: The objective of the work was to evaluate the spatial variability of soil chemical attributes under cultivation with guava through geostatistics analysis in the depths of 0.0-0.10 m and 0.10-0.20 m. Sampling was performed regionalized using regular grid with dimension of 50 m x 50 m, totaling 36 georeferenced points equidistant 10 m. The geostatistical analysis was applied to determine theoretical models of variograms and interpolation kriging of the data that have been generated in order to analyze the spatial variability of the soil attributes. The pH presented low spatial variability on both depths and Al on depth 0.10-0.20 m with moderate spatial variability on the depth 0.0-0.10 m. Ca and Mg showed moderate spatial variability in both depths. The spherical semivariogram model was adjusted for all attributes in both depths, close to 12.5 m and 24.1 m for pH and Al, respectively.KEYWORDS: Geostatistics; soil management; spatial dependence, kriging.

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