Soil and Climate Affect Foliar Silicification Patterns and Silica
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Distribution of Nematodes in Vertisol Aggregates Under a Permanent Pasture in Martinique
Applied Soil Ecology ELSEVIER Applied Soil Ecology 4 (1996) 193-200 Distribution of nematodes in vertisol aggregates under a permanent pasture in Martinique Patrick Quénéhervé, Jean-Luc Chotte * Laboratoire de Nhnatologie et Laboratoire de Matière Organique des Sols Tropicaux, Centre ORSTOM, B.P. 8006,97259 Fort de France Cedex, Martinique Accepted 13 May 1996 Abstract This study reports on the distribution of nematodes in different soil habitats under a permanent pasture of digitgrass (Digitaria decuinbens Stent. cv. 'Pangola') in Martinique. The objectives were (i) to evaluate a gentle fractionation method compatible with further soil nematode extraction and (ii) to assess the respective soil microhabitats of plant-feeding nematodes and free-living nematodes. This study indicated that gentle soil fractionation can effectively separate soil habitats and allow the recovery of associated nematodes. Plant-feeding nematodes were equally distributed between inter-aggregate pores, habitats constituted of aggregated fine silt + clay particles and roots + rhizosphere. Most of free-living nematodes (53%) resided in inter-aggre- gate pores. Irrespective of the food resource, densities of nematodes (number per gram of habitat) were similar in habitats coarser than 1000 pm (A5000, A2000, and A1000). Habitats with the finest soil (A200) were not favourable sites because of the rarity of roots (for plant-feeding nematodes) and physical constraints. Keywords: Nematode; Pasture; Soil aggregates; Soil fractionation; Soil habitats; Soil porosity; Vertisol 1. Introduction indicated that carbon concentration controls the dis- tribution of soil microorganisms. Griffin (1981) Soils consist of an assemblage of solid particles demonstrated the importance of water suction in and air-filled or water-filled pores of different sizes microbial metabolism. -
Effect of Soil Chiseling on Soil Structure and Root Growth for a Clayey Soil Under No-Tillage
Geoderma 259–260 (2015) 149–155 Contents lists available at ScienceDirect Geoderma journal homepage: www.elsevier.com/locate/geoderma Effect of soil chiseling on soil structure and root growth for a clayey soil under no-tillage Márcio Renato Nunes a,⁎, José Eloir Denardin b, Eloy Antônio Pauletto c, Antônio Faganello b, Luiz Fernando Spinelli Pinto c a University of São Paulo, “Luiz de Queiroz” College of Agriculture, Avenida Pádua Dias, 11, CEP 13418-900 Piracicaba, São Paulo, Brazil b Embrapa Trigo, Rodovia BR 285, km. 294, P.O. Box 451, CEP 99001-970 Passo Fundo, Rio Grande do Sul, Brazil c Federal University of Pelotas, Department of Soil Science, Campus Universitário s/n, P.O. Box 354, 96010-900 Pelotas, Rio Grande do Sul, Brazil article info abstract Article history: Soil chiseling under no-tillage (NT) promotes root growth in depth. This practice, however, might affect soil ag- Received 11 November 2014 gregation. This study evaluated the chiseling effects on the aggregation of a Ferralic Nitisol (Rhodic), under NT, in Received in revised form 2 June 2015 humid subtropical climate region. The treatments carried out consisted of the time that soil was kept under NT Accepted 3 June 2015 after chiseling: continuous NT for 24 months after chiseling in September 2009; continuous NT for 18 months Available online xxxx after chiseling in March 2010; continuous NT for 12 months after chiseling in September 2010; continuous NT for 6 months after chiseling in March 2011; NT in newly chiseling soil in September 2011; continuous NT without Keywords: Soil physical attributes chiseling (control). -
Integrated Management of Vertisols for Crop Production in Ethiopia: a Review
Journal of Biology, Agriculture and Healthcare www.iiste.org ISSN 2224-3208 (Paper) ISSN 2225-093X (Online) Vol.6, No.24, 2016 Integrated Management of Vertisols for Crop Production in Ethiopia: A Review Tadesse Debele 1 Haile Deressa 2 1.Department of Plant Sciences, College of Agriculture and Veterinary Sciences, Ambo University, P.O.Box – 19, Ambo, Ethiopia 2.Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, P.O.Box 100009, Addis Ababa, Ethiopia Abstract In Ethiopia, Vertisols account for 12.6 million hectares, of which about 7.6 million ha found in the highlands and are generally waterlogged due to abundant rainfall during the growing period. These soils are generally hard when dry and sticky when wet, a very low infiltration rate when the surface is sealed, very low saturated hydraulic conductivity and compaction as a result of swelling, and therefore presents serious limitations to their use. Crop production on these soils is limited because of impeded drainage, difficulty of land preparation, soil erosion and low fertility. Long-term adaptations to climate changes on Vertisols management require structural changes to overcome the harsh conditions. Vertisols have considerable productive potential, but they are usually underutilized in the traditional production system. Hence, achieving sustainable and improved management of Vertisols has been a major challenge for Ethiopian farmers for many years. Vertisols management technologies essentially early planting, drainage using BBM, improved variety, and fertilizers application were developed to effectively and efficiently utilize these soils. Early planting of short maturing wheat and teff varieties opened an opportunity for double cropping; excess water drained from the furrows would be utilized for supplemental irrigation. -
World Reference Base for Soil Resources 2014 International Soil Classification System for Naming Soils and Creating Legends for Soil Maps
ISSN 0532-0488 WORLD SOIL RESOURCES REPORTS 106 World reference base for soil resources 2014 International soil classification system for naming soils and creating legends for soil maps Update 2015 Cover photographs (left to right): Ekranic Technosol – Austria (©Erika Michéli) Reductaquic Cryosol – Russia (©Maria Gerasimova) Ferralic Nitisol – Australia (©Ben Harms) Pellic Vertisol – Bulgaria (©Erika Michéli) Albic Podzol – Czech Republic (©Erika Michéli) Hypercalcic Kastanozem – Mexico (©Carlos Cruz Gaistardo) Stagnic Luvisol – South Africa (©Márta Fuchs) Copies of FAO publications can be requested from: SALES AND MARKETING GROUP Information Division Food and Agriculture Organization of the United Nations Viale delle Terme di Caracalla 00100 Rome, Italy E-mail: [email protected] Fax: (+39) 06 57053360 Web site: http://www.fao.org WORLD SOIL World reference base RESOURCES REPORTS for soil resources 2014 106 International soil classification system for naming soils and creating legends for soil maps Update 2015 FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS Rome, 2015 The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. -
Diagnostic Horizons
Exam III Wednesday, November 7th Study Guide Posted Tomorrow Review Session in Class on Monday the 4th Soil Taxonomy and Classification Diagnostic Horizons Epipedons Subsurface Mollic Albic Umbric Kandic Ochric Histic Argillic Melanic Spodic Plaggen Anthropic Oxic 1 Surface Horizons: Mollic- thick, dark colored, high %B.S., structure Umbric – same, but lower B.S. Ochric – pale, low O.M., thin Histic – High O.M., thick, wet, dark Sub-Surface Horizons: Argillic – illuvial accum. of clay (high activity) Kandic – accum. of clay (low activity) Spodic – Illuvial O.M. accumulation (Al and/or Fe) Oxic – highly weathered, kaolinite, Fe and Al oxides Albic – light colored, elluvial, low reactivity Elluviation and Illuviation Elluviation (E horizon) Organic matter Clays A A E E Bh horizon Bt horizon Bh Bt Spodic horizon Argillic horizon 2 Soil Taxonomy Diagnostic Epipedons Diagnostic Subsurface horizons Moisture Regimes Temperature Regimes Age Texture Depth Soil Taxonomy Soil forming processes, presence or Order Absence of major diagnostic horizons 12 Similar genesis Suborder 63 Grasslands – thick, dark Great group 250 epipedons High %B.S. Sub group 1400 Family 8000 Series 19,000 Soil Orders Entisols Histosols Inceptisols Andisols Gelisols Alfisols Mollisols Ultisols Spodosols Aridisols Vertisols Oxisols 3 Soil Orders Entisol Ent- Recent Histosol Hist- Histic (organic) Inceptisol Incept- Inception Alfisol Alf- Nonsense Ultisol Ult- Ultimate Spodosol Spod- Spodos (wood ash) Mollisol Moll- Mollis (soft) Oxisol Ox- oxide Andisol And- Ando (black) Gelisol -
Geology As a Georegional Influence on Quercus Fagaceae Distribution
GEOLOGY AS A GEOREGIONAL INFLUENCE ON Quercus FAGACEAE DISTRIBUTION IN DENTON AND COKE COUNTIES OF CENTRAL AND NORTH CENTRAL TEXAS AND CHOCTAW COUNTY OF SOUTHEASTERN OKLAHOMA, USING GIS AS AN ANALYTICAL TOOL George F. Maxey, B.S., M.S. Dissertation Prepared for the Degree of DOCTOR OF PHILOSOPHY UNIVERSITY OF NORTH TEXAS December 2007 APPROVED: C. Reid Ferring, Major Professor Miguel Avevedo, Committee Member Kenneth Dickson, Committee Member Donald Lyons, Committee Member Paul Hudak, Committee Member and Chair of the Department of Geography Sandra L. Terrell, Dean of the Robert B. Toulouse School of Graduate Studies Maxey, George F. Geology as a Georegional Influence on Quercus Fagaceae Distribution in Denton and Coke Counties of Central and North Central Texas and Choctaw County of Southeastern Oklahoma, Using GIS as an Analytical Tool. Doctor of Philosophy (Environmental Science), December 2007, 198 pp., 30 figures, 24 tables, references, 57 titles. This study elucidates the underlying relationships for the distribution of oak landcover on bedrock and soil orders in two counties in Texas and one in Oklahoma. ESRI’s ArcGis and ArcMap was used to create surface maps for Denton and Coke Counties, Texas and Choctaw County, Oklahoma. Attribute tables generated in GIS were exported into a spreadsheet software program and frequency tables were created for every formation and soil order in the tri-county research area. The results were both a visual and numeric distribution of oaks in the transition area between the eastern hardwood forests and the Great Plains. Oak distributions are changing on this transition area of the South Central Plains. -
Influence of Soil Type on the Reliability of the Prediction Model
agronomy Article Influence of Soil Type on the Reliability of the Prediction Model for Bioavailability of Mn, Zn, Pb, Ni and Cu in the Soils of the Republic of Serbia Jelena Maksimovi´c*, Radmila Pivi´c,Aleksandra Stanojkovi´c-Sebi´c , Marina Jovkovi´c,Darko Jaramaz and Zoran Dini´c Institute of Soil Science, Teodora Drajzera 7, 11000 Belgrade, Serbia; [email protected] (R.P.); [email protected] (A.S.-S.); [email protected] (M.J.); [email protected] (D.J.); [email protected] (Z.D.) * Correspondence: [email protected] Abstract: The principles of sustainable agriculture in the 21st century are based on the preservation of basic natural resources and environmental protection, which is achieved through a multidisciplinary approach in obtaining solutions and applying information technologies. Prediction models of bioavailability of trace elements (TEs) represent the basis for the development of machine learning and artificial intelligence in digital agriculture. Since the bioavailability of TEs is influenced by the physicochemical properties of the soil, which are characteristic of the soil type, in order to obtain more reliable prediction models in this study, the testing set from the previous study was grouped based on the soil type. The aim of this study was to examine the possibility of improvement in the prediction of bioavailability of TEs by using a different strategy of model development. After the training set was grouped based on the criteria for the new model development, the developed basic models were compared to the basic models from the previous study. The second step was to develop Citation: Maksimovi´c,J.; Pivi´c,R.; models based on the soil type (for the eight most common soil types in the Republic of Serbia—RS) Stanojkovi´c-Sebi´c,A.; Jovkovi´c,M.; and to compare their reliability to the basic models. -
[Propiedades Hidraulicasl Del Un Nitisol En Kabete, Kenya]
Tropical and Subtropical Agroecosystems, 15 (2012): 595 - 609 SOIL HYDRAULIC PROPERTIES OF A NITISOL IN KABETE, KENYA [PROPIEDADES HIDRAULICASL DEL UN NITISOL EN KABETE, KENYA] G.N. Karukua*, C.K.K. Gachenea, N. Karanjaa, W. Cornelisb, H. Verplanckeb and G. Kironchia, aFaculty of Agriculture, University of Nairobi. P. O. Box 29053- 00625 Kangemi, Nairobi, Kenya. Email: [email protected]: b Department of Soil Management and Soil care, University Ghent, Coupure Links 653, B-9000 Gent, Belgium, *Corresponding author SUMMARY positively by soil organic matter. The Van Genuchten parameters of air entry value (α) and pore size Water relations are among the most important distribution (n) indicated that pore size distribution physical phenomena that affect the use of soils for was not even in the AP and AB horizons. The field agricultural, ecological, environmental, and capacity was attained at higher matric potential at - engineering purposes. To formulate soil-water 5kPa for Bt1 while Bt2 and AP, AB, Bt2 and Bt3 was at relationships, soil hydraulic properties are required as -10kPa.The functional relationship, K(θ) = aθb that essential inputs. The most important hydraulic deals with water redistribution as a result of soil properties are the soil-water retention curve and the hydraulic properties and evaporative demand of the hydraulic conductivity. The objective of this study atmosphere was highly correlated to soil moisture was to determine the soil hydraulic properties of a content and texture with R2 values > 0.85. Nitisol, at Kabete Campus Field Station. Use of an internal drainage procedure to characterize the Key words: Soil water retention; hydraulic hydraulic properties and soil and water retention conductivity; water content; field capacity; permanent curves allowed for the establishment of the moisture wilting point; Van Genuchten parameters and matric potential at field capacity and permanent wilting point. -
19Th World Congress of Soil Science Working Group 1.1 the WRB
19th World Congress of Soil Science Working Group 1.1 The WRB evolution Soil Solutions for a Changing World, Brisbane, Australia 1 – 6 August 2010 Table of Contents Page Table of Contents ii 1 Diversity and classification problems of sandy soils in subboreal 1 zone (Central Europe, Poland) 2 Finding a way through the maze – WRB classification with 5 descriptive soil data 3 Guidelines for constructing small-scale map legends using the 9 World Reference Base for Soil Resources 4 On the origin of Planosols – the process of ferrolysis revisited 13 5 Orphans in soil classification: Musing on Palaeosols in the 17 World Reference Base system 6 Pedometrics application for correlation of Hungarian soil types 21 with WRB 7 The classification of Leptosols in the World Reference Base for 25 Soil Resources 8 The World Reference Base for Soils (WRB) and Soil 28 Taxonomy: an initial appraisal of their application to the soils of the Northern Rivers of New South Wales 9 A short guide to the soils of South Africa, their distribution and 32 correlation with World Reference Base soil groups ii Diversity and classification problems of sandy soils in subboreal zone (Central Europe, Poland) Michał Jankowski Faculty of Biology and Earth Sciences, Nicolaus Copernicus University, Toruń, Poland, Email [email protected] Abstract The aim of this study was to present some examples of sandy soils and to discuss their position in soil systematics. 8 profiles represent: 4 soils widely distributed in postglacial landscapes of Poland (Central Europe), typical for different geomorphological conditions and vegetation habitats (according to regional soil classification: Arenosol, Podzolic soil, Rusty soil and Mucky soil) and 4 soils having unusual features (Gleyic Podzol and Rusty soil developed in a CaCO 3-rich substratum and two profiles of red-colored Ochre soils). -
Seção V - Gênese, Morfologia E Classificação Do Solo
EVALUATION OF MORPHOLOGICAL, PHYSICAL AND CHEMICAL CHARACTERISTICS... 573 SEÇÃO V - GÊNESE, MORFOLOGIA E CLASSIFICAÇÃO DO SOLO EVALUATION OF MORPHOLOGICAL, PHYSICAL AND CHEMICAL CHARACTERISTICS OF FERRALSOLS AND RELATED SOILS(1) E. KLAMT(2) & L. P. VAN REEUWIJK(3) SUMMARY Morphological, physical and chemical data of 58 soil profiles of Ferralsols and low activity clay Cambisols, Lixisols, Acrisols and Nitisols and of Alisols of the International Soil Reference and Information Centre (ISRIC) collection, described and sampled in eighteen different countries of tropical and subtropical regions, were selected to analyse their consistency and, or, variability and to search for properties to better describe and differentiate them. The soil profile descriptions were based on the guidelines of FAO and the FAO endorsed analytical methods of ISRIC. Frequence diagrams of the data show an asymmetric positively skewed and leptokurtic distribution for sand and silt fractions, specific surface, exchangeable bases and cation exchange capacity. Clustering soil colour hues, values and chromas rendered four distinct clusters, respectively of Rhodic, Rhodic/Xanthic (Haplic), Xanthic and Humic properties. The same technique applied to particle size distribution also originated four clusters, respectively of fine loamy, fine silty, clayey and fine clayey soils. Most of the soils analysed are acid, with low base saturation, except for Rhodic Nitisols and Rhodic Ferralsols, which present low exchangeable aluminium. Higher and variable values of this property are found in the other soil classes studied. Cation exchange capacity is also low and related to the kaolinitic and oxihydroxydic composition of the clay material. Regression analysis applied to cation exchange capacity resulted in low correlations with clay and silt content and higher with organic carbon and specific surface and clay content. -
Soil Classification Based on Spectral and Environmental Variables
https://doi.org/10.5194/soil-2019-77 Preprint. Discussion started: 20 November 2019 c Author(s) 2019. CC BY 4.0 License. Soil classification based on spectral and environmental variables Andre Carnieletto Dotto1, Jose A. M. Demattê1, Raphael Viscarra Rossel2, and Rodnei Rizzo1 1Department of Soil Science, College of Agriculture Luiz de Queiroz, University of São Paulo, Piracicaba, SP, 13418-900, Brazil 2School of Molecular and Life Sciences, Curtin University, Perth, WA, 6102, Australia Correspondence: Jose A. M. Demattê ([email protected]) Abstract. Given the large volume of soil data, it is now possible to obtain a soil classification using spectral, climate and terrain attributes. The idea was to develop a soil series system, which intends to discriminate soil types according to several variables. This new system was called Soil-Environmental Classification (SEC). The spectra data was applied to obtain information about the soil and climate and terrain variables to simulate the pedologist knowledge in soil-environment interactions. The most 5 appropriate numbers of classes were achieved by the lowest value of AIC applying the clusters analysis, which was defined with 8 classes. A relationship between the SEC and WRB-FAO classes was found. The SEC facilitated the identification of groups with similar characteristics using not only soil but environmental variables for the distinction of the classes. Finally, the conceptual characteristics of the 8 SEC were described. The development of SEC conducted to incorporate applicable soil data for agricultural management, with less interference of personal/subjective/empirical knowledge (such as traditional taxonomic 10 systems), and more reliable on automation measurements by sensors. -
Soil Water Content and Yield a Vertisol in a Rain-Fed Olive Grove Under Four Different Soil Management Practices in a Four Year Experiment
Geophysical Research Abstracts Vol. 20, EGU2018-5390, 2018 EGU General Assembly 2018 © Author(s) 2018. CC Attribution 4.0 license. Soil water content and yield a vertisol in a rain-fed olive grove under four different soil management practices in a four year experiment. Maria Auxiliadora Soriano (1), Jose Manuel Cabezas (2), and Jose Alfonso Gómez (3) (1) Department of Agronomy. University of Cordoba. Córdoba. Spain. , (2) IFAPA-Centro Alameda del Obispo, Natural Resources Department, Córdoba, Spain, (3) Inst.for Sustainable Agriculture. CSIC, Department of Agronomy, Cordoba, Spain. Vertisols are frequent in agricultural areas of Andalusia, Southern Spain. They have traditionally been dedicated to rainfed annual crops. In recent years it has been an expansion of olive cultivation in these soils due to their higher profitability. These soils shrink when drying, originating vertical cracksand the farmers give passes of work during the summer, with the aim to cover the cracks and reduce the loss of water by evaporation of the soil. This practice involves the elimination of plant residues on the ground, so the soil will be unprotected at the beginning of the wet season, where high intensity precipitation is frequent, these being ideal conditions for the loss of soil due to water erosion (Gómez et al., 2014). The objective of this work was to study the soil water content of a vertisol in a rain-fed olive grove under ned two different soil management strategies: a) temporary cover crop during of Bromus rubens in the lanes from fall to mid Spring, or b) or bare soil all the year through application of herbicides.