Nepheline Syenite and Phonolite as Alternative Potassium Sources for Maize

Some silicate rocks are a rich source of potassium (K), with the possibility for use in agriculture. The present study aimed to evaluate the agronomic efficiency index (AEI) of nepheline syenite (NS) and phonolite (PN) rocks in comparison with potassium chloride (KCl) as a K source in maize production. An experiment was conducted in a greenhouse in Ilha Solteira, São Paulo, Brazil. A maize hybrid was grown in 8 L pots filled with 6 kg of soil with a low K concentration and contrasting physical attributes (medium and sandy texture). A completely randomized design in a 3 × 6 factorial scheme was used, consisting of three K sources (NS, PN, and KCl) and six rates (0, 50, 100, 150, 200, and 400 mg kg−1) with four replications. All plants were harvested 45 days after emergence to evaluate biomass production, macronutrient (N, P, K, Ca, Mg, and S) concentration and uptake, stem diameter, and leaf chlorophyll index. After crop harvest, soil was collected for further chemical evaluation, which included organic matter (OM), pH, cation exchange capacity (CEC), H+Al, Al, sum of bases (SB), base saturation (BS), P, K, Ca, Mg, and S. In addition, AEI of NS and PN were also verified in relation to KCl. The application of NS and PN had a similar effect on soil chemical attributes (MO, pH, SB, CEC, and BS) as well as on the concentrations of K, Ca, Mg, and S, in both soils. The increase in NS and PN rates provided linear growth of shoot dry matter. Leaf macronutrient concentrations were similar for NS and PN compared to KCl. All three K sources (NS, PN, and KCl) increased K accumulation in maize plants. Maize treated with KCl had the largest AEI, followed by PN and NS. However, the results indicated similar AEI with both rocks as a K source for maize, especially with application of the highest K rates. This research demonstrated the efficiency of NS and PN as alternative K sources for maize.

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Response of Rubber Tree Saplings to Dolomite and Kieserite Application and K:Mg Ratio

Pertanika Journal of Science and Technology ◽

10.47836/pjst.29.4.12 ◽

2021 ◽

Vol 29 (4) ◽

Author(s):

Chakkrit Poonpakdee ◽

Khwunta Khawmee ◽

Jumpen Onthong

Keyword(s):

Nutrient Uptake ◽

N Uptake ◽

Rubber Tree ◽

Control Treatment ◽

Leaf Chlorophyll ◽

Application Rates ◽

Randomized Design ◽

Completely Randomized Design ◽

K Concentration ◽

The Relationship

This study aimed to examine the effect of the application of dolomite and kieserite on the growth and nutrient uptake of rubber tree saplings and the relationship between K:Mg ratios in soils and nutrient uptake. The experiment followed a completely randomized design with five replicates. Budded stumps of RRIM 600 rubber were planted in soil with low extractable Mg (< 0.30 cmolc kg-1). Kieserite application at a rate of 0.5 cmolc Mg kg-1 significantly promoted the greatest sapling height, stem diameter, Mg and S concentrations, and leaf chlorophyll levels. High kieserite application rates (1.0 cmolc Mg kg-1) were more likely to decrease K and N uptake significantly. Applying dolomite (0.5 cmolc Mg kg-1) also significantly increased rubber growth compared with the control treatment but the significant increases were lower than those for kieserite application. Applying K at 72, 108, and 180 mg kg-1 significantly increased leaf K concentration, but significantly decreased Mg concentrations. Therefore, rubber plantations should apply Mg at a rate of 0.5 cmolc Mg kg-1 in the form of kieserite, and a ratio of K:Mg 2:1 is suitable for promoting rubber tree growth.

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Chemical Attributes of a Dystrophic Red Latosol of Brazilian Cerrado After Poultry Litter Application Associated to a Urea Inhibitor

Journal of Agricultural Science ◽

10.5539/jas.v11n3p208 ◽

2019 ◽

Vol 11 (3) ◽

pp. 208

Author(s):

Joiran Luiz Magalhães ◽

Antonio Carlos Saraiva da Costa ◽

June Faria Scherrer Menezes ◽

Elcio Barbosa De Oliveira ◽

Marcos Vinicius Pereira Vieira ◽

...

Keyword(s):

Poultry Litter ◽

Waste Recycling ◽

Exchange Capacity ◽

Urease Inhibitor ◽

Poultry Waste ◽

N Losses ◽

Eucalyptus Forest ◽

Randomized Design ◽

Chemical Attributes ◽

Red Latosol

Poultry waste recycling is now a globally practice consolidated in agriculture. However, the proper disposal of poultry waste should enable to reduce N losses and to decrease pollution potential from the high concentrations of poultry litter applied to soil. In this context, the aim of the present study was to evaluate poultry litter doses and the effect of an urease inhibitor on the chemical attributes of a dystrophic Red Latosol. Two experiments were carried out, one in a greenhouse and another in a eucalyptus forest area, both applying completely randomized design with a 2 × 6 + 1 factorial arrangement, applying two types and six doses of poultry litter (5, 10, 20, 40, 80 and 160 t ha-1) plus the controls, with four replicates, total of 52 pots. The application of poultry litter doses altered soil chemical attributes, except for potential acidity. Soil pH, cation exchange capacity (CEC), sum of bases (SB) and electric conductivity (EC) values and Ca, Mg, K, P, S, organic matter (OM), Mn, Zn and Cu levels increased with increasing poultry litter doses, while Fe and B contents decreased. The 40, 80 and 160 t ha-1 poultry litter doses led to contamination potential of the soil due to salinity and alkalinity, and also raised the EC of the percolate at levels limiting to plants. The NBPT (N-butyl thiophosphoric triamide) urease inhibitor exhibited no influence on soil chemical attributes.

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Correlation of physical and chemical attributes of soil with sugarcane yield

Pesquisa Agropecuária Brasileira ◽

10.1590/s0100-204x2012000400018 ◽

2012 ◽

Vol 47 (4) ◽

pp. 613-620 ◽

Cited By ~ 14

Author(s):

Domingos Guilherme Pellegrino Cerri ◽

Paulo Sérgio Graziano Magalhães

Keyword(s):

Soil Properties ◽

Correlation Coefficients ◽

Clay Content ◽

Exchange Capacity ◽

Test Area ◽

Yield Variation ◽

Sugarcane Yield ◽

Physical Attributes ◽

Chemical Attributes ◽

Physical And Chemical

The objective of this work was to evaluate the correlation between sugarcane yield and some physical and chemical attributes of soil. For this, a 42‑ha test area in Araras, SP, Brazil, was used. Soil properties were determined from samples collected at the beginning of the 2003/2004 harvest season, using a regular 100x100 m grid. Yield assessment was done with a yield monitor (Simprocana). Correlation analyses were performed between sugarcane yield and the following soil properties: pH, pH CaCl2, N, C, cone index, clay content, soil organic matter, P, K, Ca, Mg, H+AL, cation exchange capacity, and base saturation. Correlation coefficients were respectively ‑0.05, ‑0.29, 0.33, 0.41, ‑0.27, 0.22, 0.44, ‑0.24, trace, ‑0.06, 0.01, 0.32, 0.14, and 0.04. Correlations of chemical and physical attributes of soil with sugarcane yield are weak, and, per se, they are not able to explain sugarcane yield variation, which suggests that other variables, besides soil attributes, should be analysed.

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FOLIAR CONTENTS IN BABYCORN AND CHEMICAL ATTRIBUTES OF AN OXISOL UNDER APPLICATION OF SWINE WASTEWATER

Revista Engenharia na Agricultura - REVENG ◽

10.13083/reveng.v21i6.410 ◽

2013 ◽

Vol 21 (6) ◽

pp. 574-582

Author(s):

Adriana Maria Meneghetti ◽

Lúcia Helena Pereira Nóbrega ◽

Silvio Cesar Sampaio ◽

Rafael Gil Ferques

Keyword(s):

Organic Matter ◽

Swine Manure ◽

Chemical Properties ◽

Exchange Capacity ◽

Swine Wastewater ◽

Nutrient Concentrations ◽

Randomized Design ◽

Foliar Nutrient ◽

Foliar Concentrations ◽

Chemical Attributes

This objective of this study was to evaluate the influence of swine wastewater (ARS), applied alone and in combination with nitrogen fertilizer (AD), on foliar concentrations of macronutrients (Ntotal, P, K, Ca, Mg and S ) and micronutrients (Cu, Zn, Mn and Fe), as well as chemical attributes of an Oxisol (pH, potential acidity (H+Al +3), organic matter (OM), cation exchange capacity (CEC), base saturation (V), Ca, Mg, K, P, Na, sodium adsorption ratio (SAR) and exchangeable sodium percentage (ESP) on the cultivation of baby corn. For this purpose an experiment was conducted at the State University of Western Parana in a completely randomized design with eight treatments and three replications, consisting of a 4 x 2 factorial arrangement with the application of four swine manure wastewater doses (0, 40, 80 and 120 kg ha-1 of N) prior to sowing and two levels of AD (0 and 40 kg ha-1 ) as urea at sowing and in coverage. Soil samples were collected at a depth of 0-60 cm during three periods: before sowing and application of the ARS, at the middle and at the end of the cycle. The results were subjected to analysis of variance at 5% probability, and they indicated that the application of ARS combined with AD resulted in increases to the soil chemical properties: H+Al +3, CTC, V, P, K, Ca and Mg, decreases in pH, organic matter and PST, and consistent values for RAS. For the foliar nutrient concentrations there was an increase in fertilization using wastewater from swine manure which resulted in significant differences for foliar concentrations of N and P in babycorn; it also promoted lower levels than adequate for N and K, and appropriate levels of Cu, Zn, Mn and Fe. Concentrations of ARS should be less than 345 m3 ha-1 when applied alone, or when combined with AD should be less than 120 kg ha-1 of N, since systematic use elevated levels of plant nutrients (P, Ca, Mg and S), suggesting their accumulation.

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Magnetic susceptibility for characterizing areas with different potentials for sugarcane production

Pesquisa Agropecuária Brasileira ◽

10.1590/s0100-204x2016000900034 ◽

2016 ◽

Vol 51 (9) ◽

pp. 1349-1358 ◽

Cited By ~ 6

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.

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SPATIALIZATION OF SOIL CHEMICAL AND PHYSICAL ATTRIBUTES IN AN AGROFORESTRY SYSTEM, SEROPÉDICA, BRAZIL

CERNE ◽

10.1590/01047760201622042159 ◽

2016 ◽

Vol 22 (4) ◽

pp. 407-414 ◽

Cited By ~ 2

Author(s):

Camila Santos da Silva ◽

Marcos Gervasio Pereira ◽

Rafael Coll Delgado ◽

Eduardo Vinícius da Silva

Keyword(s):

Organic Carbon ◽

Spatial Interpolation ◽

Spatial Models ◽

Agroforestry System ◽

Exchange Capacity ◽

Sampling Point ◽

Distribution Maps ◽

First Order ◽

Semivariogram Analysis ◽

Physical Attributes

ABSTRACT The purpose of this study was to spatialize the chemical and physical attributes of the soil in an agroforestry system in Seropédica, Rio de Janeiro, Brazil. Thirty-one soil samples were collected from 0-10 cm, 10-20 cm, and 20-40 cm depths, and each sampling point was georeferenced. The pH (in H2O), potential acidity (H+Al), calcium (Ca+2), magnesium (Mg+2), aluminum (Al+3), sodium (Na+), potassium (K+), phosphorus (P), organic carbon (C), cation exchange capacity of the soil (T value), base saturation (V value), total clay, total sand, silt, and density of fine roots were measured. The software ArcGIS 10.2 was used to perform the semivariogram analysis and the fitting of the models, and spatial interpolation was performed using a first-order trend ordinary kriging process with spherical, exponential, and Gaussian spatial models. Based on the results, only the exponential and Gaussian models were fitted to the variables, except for the Mg2+ and V value variables, which presented no spatial dependence, thus showing a pure nugget effect (PNE). Distribution maps were generated for the variables (except for those exhibiting PNE), which showed correlation between the variables pH and Al3+, organic carbon and cations, phosphorus and total clay, and silt and sand. Overall, geostatistics could be applied to spatialize the chemical and physical attributes of the soil in the agroforestry system, except in the case of Mg2+ and the V value.

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Soil Attributes Using Different Agricultural Use Systems in the Rio Grande do Norte Semiarid, Brazil

Journal of Agricultural Science ◽

10.5539/jas.v10n11p190 ◽

2018 ◽

Vol 10 (11) ◽

pp. 190

Author(s):

Ana Karenina Fernandes de Sousa Ribeiro ◽

Jeane Cruz Portela ◽

Rafael Oliveira Batista ◽

Carolina Malala Martins Souza ◽

Joseane Dunga da Costa ◽

...

Keyword(s):

High Salinity ◽

Clay Fraction ◽

Particle Size Analysis ◽

Semiarid Region ◽

Size Analysis ◽

Plasticity Limit ◽

Physical Attributes ◽

Agricultural Use ◽

Chemical Attributes ◽

Physical And Chemical

The semiarid region is extremely fragile to anthropogenic actions. Thus, the objective of this study is to evaluate the physical and chemical attributes of soils with different agricultural uses. The research was carried out in the municipality of Governador Dix-Sept Rosado. Fertility and physical analyses were performed. The results were interpreted by multivariate analysis. The soils that presented a eutrophic character were influenced by lithology. In the Cambissolo (Haplustepts), there was an increase in the limits of liquidity and plasticity due to the increase of the clay fraction and total organic carbon. By the particle size analysis, the profiles presented variations in textural classes. We concluded that the physical attributes moisture, liquidity limit, plasticity limit, clay plasticity index, thin sand and the chemical attributes pH, (H + Al), V and PST were the most sensitive for the distinction of environments. The studied areas presented acidity reactions to alkalinity with presence of Al3+, (H + Al) and high salinity.

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Morphological, physical and chemical attributes of the soil profile to the right margin of the Paraguay river, Baia da Campina, Cáceres (MT)

Scientific Electronic Archives ◽

10.36560/131020201076 ◽

2020 ◽

Vol 13 (10) ◽

pp. 61

Author(s):

A. T. Martins-Oliveira ◽

L. E. S. Stefanello ◽

T. M. Santos ◽

V. R. Pinto ◽

C. A. Souza ◽

...

Keyword(s):

Soil Profile ◽

Geological Structure ◽

Physical Structure ◽

Exchange Capacity ◽

River Channels ◽

Mato Grosso ◽

Paraguay River ◽

Chemical Attributes ◽

The Right ◽

Physical And Chemical

The fluvial dynamics corresponds to the natural changes of river channels that can influence the water energy, type and morphology of the gutter, geological structure and soil types. In this context, the type of soil present on the banks of the rivers stands out, which due to their morphological, physical and chemical characteristics, will offer greater or less resistance to marginal erosive processes. Whit this study, we aim to verify the contribution of soil morphological, physical and chemical attributes in the natural dynamics of the right bank of the Paraguay River. The studied area is located in the Pantanal Matogrossense, sub-region of Cáceres, and comprises the right bank of the Paraguay River, in the region of Baia da Campina, approximately 10 km away from the municipality of Cáceres, Mato Grosso, Brazil. We carry out morphological, granulometric and chemical description of the soil. The data were tabulated in a spreadsheet, being subsequently analyzed and discussed. The vegetation occurring in the study area is of the seasonal / cerrado and alluvial forests type, with the presence of low and semi-shrub vegetation. We classified the soil profile in the section studied as Fluvic Tb Endoeutrophic Neosol, presenting medium texture and, in general, high levels of sand and low levels of clay. The values referring to the effective cation exchange capacity (CTC) obtained in this study, were classified from low to very good, a characteristic that allows the existence of low and semi-shrubby vegetation, which contributes to the resistance to erosive processes, even that the soil has a low presenting resistance physical structure.

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Spatial variability in soybean seeds quality and in chemical attributes of the soil of a production field in the Brazilian Cerrado

Journal of Seed Science ◽

10.1590/2317-1545v40n1182375 ◽

2018 ◽

Vol 40 (1) ◽

pp. 25-35 ◽

Cited By ~ 1

Author(s):

Danielle Helena Müller ◽

Elisangela Clarete Camili ◽

Walcylene Lacerda Matos Pereira Scaramuzza ◽

Maria Cristina de Figueiredo e Albuquerque

Keyword(s):

Spatial Variability ◽

Seed Production ◽

Seed Mass ◽

Soybean Seed ◽

Accelerated Aging ◽

Exchange Capacity ◽

Soybean Seeds ◽

Distribution Maps ◽

Chemical Attributes ◽

Definition Of

Abstract: The objective of this study was to evaluate the spatial variability in soybean seeds quality and in soil chemical attributes of a production field. Data were collected at 138 georeferenced points of a soybean production property located in Santo Antônio de Leverger - MT. Soil related variables, such as phosphorus, potassium, calcium, magnesium, and organic matter (OM) contents, pH, cation exchange capacity (CEC) and base saturation (V%) were evaluated. On the other hand, yield, one thousand seed mass, size, germination, emergence in seedbed, electrical conductivity, accelerated aging and tetrazolium reaction were evaluated as seed variables. The data were submitted to descriptive and geostatistical analysis, and the fit semivariogram parameters were used to elaborate spatial distribution maps of the analyzed variables. After the analysis, it was possible to conclude that there was spatial variability in the evaluated attributes for both seeds and soil related variables, indicating that the soybean seed production area can be divided into management zones, which allows the definition of areas to be harvested or discarded within a field of seed production.

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Spatial and multivariate analysis of soybean productivity and soil physical-chemical attributes

Revista Brasileira de Engenharia Agrícola e Ambiental ◽

10.1590/1807-1929/agriambi.v23n6p446-453 ◽

2019 ◽

Vol 23 (6) ◽

pp. 446-453

Author(s):

Ricardo N. Buss ◽

Raimunda A. Silva ◽

Glécio M. Siqueira ◽

Jairo O. R. Leiva ◽

Osmann C. C. Oliveira ◽

...

Keyword(s):

Spatial Variability ◽

Carbon Stock ◽

Management Strategies ◽

Covariance Structure ◽

Principal Component ◽

Spherical Model ◽

Soybean Yield ◽

Soil Attributes ◽

Physical Attributes ◽

Chemical Attributes

ABSTRACT The objective of this study was to evaluate the spatial variability of soybean yield, carbon stock, and soil physical attributes using multivariate and geostatistical techniques. The attributes were determined in Oxisols samples with clayey and cohesive textures collected from the municipality of Mata Roma, Maranhão state, Brazil. In the study area, 70 sampling points were demarcated, and soybean yield and soil attributes were evaluated at soil depths of 0-0.20 and 0.20-0.40 m. Data were analysed using multivariate analyses (principal component analysis, PCA) and geostatistical tools. The mean soybean yield was 3,370 kg ha-1. The semivariogram of productivity, organic carbon (OC), and carbon stock (Cst) at the 0-0.20 m layer were adjusted to the spherical model. The PCA explained 73.21% of the variance and covariance structure between productivity and soil attributes at the 0-0.20 m layer [(PCA 1 (26.89%), PCA 2 (24.10%), and PCA 3 (22.22%)] and 68.64% at the 0.20-0.40 m layer [PCA 1 (31.95%), PCA 2 (22.83%), and PCA 3 (13.85%)]. The spatial variability maps of the PCA eigenvalue scores showed that it is possible to determine management zones using PCA 1 in the two studied depths; however, with different management strategies for each of the layers in this study.

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