Recommended Chemical Soil Test Procedures for the North Central Region
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Basic Soil Science W
Basic Soil Science W. Lee Daniels See http://pubs.ext.vt.edu/430/430-350/430-350_pdf.pdf for more information on basic soils! [email protected]; 540-231-7175 http://www.cses.vt.edu/revegetation/ Well weathered A Horizon -- Topsoil (red, clayey) soil from the Piedmont of Virginia. This soil has formed from B Horizon - Subsoil long term weathering of granite into soil like materials. C Horizon (deeper) Native Forest Soil Leaf litter and roots (> 5 T/Ac/year are “bio- processed” to form humus, which is the dark black material seen in this topsoil layer. In the process, nutrients and energy are released to plant uptake and the higher food chain. These are the “natural soil cycles” that we attempt to manage today. Soil Profiles Soil profiles are two-dimensional slices or exposures of soils like we can view from a road cut or a soil pit. Soil profiles reveal soil horizons, which are fundamental genetic layers, weathered into underlying parent materials, in response to leaching and organic matter decomposition. Fig. 1.12 -- Soils develop horizons due to the combined process of (1) organic matter deposition and decomposition and (2) illuviation of clays, oxides and other mobile compounds downward with the wetting front. In moist environments (e.g. Virginia) free salts (Cl and SO4 ) are leached completely out of the profile, but they accumulate in desert soils. Master Horizons O A • O horizon E • A horizon • E horizon B • B horizon • C horizon C • R horizon R Master Horizons • O horizon o predominantly organic matter (litter and humus) • A horizon o organic carbon accumulation, some removal of clay • E horizon o zone of maximum removal (loss of OC, Fe, Mn, Al, clay…) • B horizon o forms below O, A, and E horizons o zone of maximum accumulation (clay, Fe, Al, CaC03, salts…) o most developed part of subsoil (structure, texture, color) o < 50% rock structure or thin bedding from water deposition Master Horizons • C horizon o little or no pedogenic alteration o unconsolidated parent material or soft bedrock o < 50% soil structure • R horizon o hard, continuous bedrock A vs. -
Global Hydrogeology Maps (GLHYMPS) of Permeability and Porosity
UVicSPACE: Research & Learning Repository _____________________________________________________________ Faculty of Engineering Faculty Publications _____________________________________________________________ A glimpse beneath earth’s surface: Global HYdrogeology MaPS (GLHYMPS) of permeability and porosity Tom Gleeson, Nils Moosdorf, Jens Hartmann, and L. P. H. van Beek June 2014 AGU Journal Content—Unlocked All AGU journal articles published from 1997 to 24 months ago are now freely available without a subscription to anyone online, anywhere. New content becomes open after 24 months after the issue date. Articles initially published in our open access journals, or in any of our journals with an open access option, are available immediately. © 2017 American Geophysical Unionhttp://publications.agu.org/open- access/ This article was originally published at: http://dx.doi.org/10.1002/2014GL059856 Citation for this paper: Gleeson, T., et al. (2014), A glimpse beneath earth’s surface: Global HYdrogeology MaPS (GLHYMPS) of permeability and porosity, Geophysical Research Letters, 41, 3891–3898, doi:10.1002/2014GL059856 PUBLICATIONS Geophysical Research Letters RESEARCH LETTER A glimpse beneath earth’s surface: GLobal 10.1002/2014GL059856 HYdrogeology MaPS (GLHYMPS) Key Points: of permeability and porosity • Mean global permeability is consistent with previous estimates of shallow crust Tom Gleeson1, Nils Moosdorf 2, Jens Hartmann2, and L. P. H. van Beek3 • The spatially-distributed mean porosity of the globe is 14% 1Department of Civil Engineering, McGill University, Montreal, Quebec, Canada, 2Institute for Geology, Center for Earth • Maps will enable groundwater in land 3 surface, hydrologic and climate models System Research and Sustainability, University of Hamburg, Hamburg, Germany, Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, Netherlands Correspondence to: Abstract The lack of robust, spatially distributed subsurface data is the key obstacle limiting the T. -
Simple Soil Tests for On-Site Evaluation of Soil Health in Orchards
sustainability Article Simple Soil Tests for On-Site Evaluation of Soil Health in Orchards Esther O. Thomsen 1, Jennifer R. Reeve 1,*, Catherine M. Culumber 2, Diane G. Alston 3, Robert Newhall 1 and Grant Cardon 1 1 Dept. Plant Soils and Climate, Utah State University, Logan, UT 84322, USA; [email protected] (E.O.T.); [email protected] (R.N.); [email protected] (G.C.) 2 UC Cooperative Extension, Fresno, CA 93710, USA; [email protected] 3 Dept. Biology, Utah State University, Logan, UT 84322, USA; [email protected] * Correspondence: [email protected] Received: 20 September 2019; Accepted: 26 October 2019; Published: 29 October 2019 Abstract: Standard commercial soil tests typically quantify nitrogen, phosphorus, potassium, pH, and salinity. These factors alone are not sufficient to predict the long-term effects of management on soil health. The goal of this study was to assess the effectiveness and use of simple physical, biological, and chemical soil health indicator tests that can be completed on-site. Analyses were conducted on soil samples collected from three experimental peach orchards located on the Utah State Horticultural Research Farm in Kaysville, Utah. All simple tests were correlated to comparable lab analyses using Pearson’s correlation. The highest positive correlations were found between Solvita®respiration, and microbial biomass (R = 0.88), followed by our modified slake test and microbial biomass (R = 0.83). Both Berlese funnel and pit count methods of estimating soil macro-organism diversity were fairly predictive of soil health. Overall, simple commercially available chemical tests were weak indicators of soil nutrient concentrations compared to laboratory tests. -
Port Silt Loam Oklahoma State Soil
PORT SILT LOAM Oklahoma State Soil SOIL SCIENCE SOCIETY OF AMERICA Introduction Many states have a designated state bird, flower, fish, tree, rock, etc. And, many states also have a state soil – one that has significance or is important to the state. The Port Silt Loam is the official state soil of Oklahoma. Let’s explore how the Port Silt Loam is important to Oklahoma. History Soils are often named after an early pioneer, town, county, community or stream in the vicinity where they are first found. The name “Port” comes from the small com- munity of Port located in Washita County, Oklahoma. The name “silt loam” is the texture of the topsoil. This texture consists mostly of silt size particles (.05 to .002 mm), and when the moist soil is rubbed between the thumb and forefinger, it is loamy to the feel, thus the term silt loam. In 1987, recognizing the importance of soil as a resource, the Governor and Oklahoma Legislature selected Port Silt Loam as the of- ficial State Soil of Oklahoma. What is Port Silt Loam Soil? Every soil can be separated into three separate size fractions called sand, silt, and clay, which makes up the soil texture. They are present in all soils in different propor- tions and say a lot about the character of the soil. Port Silt Loam has a silt loam tex- ture and is usually reddish in color, varying from dark brown to dark reddish brown. The color is derived from upland soil materials weathered from reddish sandstones, siltstones, and shales of the Permian Geologic Era. -
Soil Testing Can Help Nutrient Deficiencies Or Imbalances
Do You Have Problems With: • Nutrient deficiencies in crops • Poor plant growth and response from applied fertilizers • Hard to manage weeds • Low crop yields • Poor quality forages • Irregular plant growth in your fields • Managing manure or compost applications Soil tests help to identify production problems related to Soil Testing Can Help nutrient deficiencies or imbalances. Above: Nitrogen defi- ciency in corn (photo: Ryan Stoffregen, Illinois). Below: Phosphorus deficiency in corn. Source: www.ipni.net Benefits of Soil Testing: • Determines nutrient levels in the soil • Determines pH levels (lime needs) • Provides a decision making tool to determine what nutrients to apply and how much • Potential for higher yielding crops • Potential for higher quality crops • More efficient fertilizer use Costs: Generally soil tests cost $7 to $10.00 per sample. The costs of soil tests vary depending on: 1. Your state (some states offer free soil testing) 2. The lab that is used. 3. The items being tested for (the cost increases as more nutrients are being analyzed). NOTE: Some state agencies and land grant universities provide free soil testing for the basic soil test items (pH, available phosphorus, potassium, calcium, and magnesium, and organic matter). Additional costs may be charged for testing for micronutrients. In other states, all soil testing is done by private labs and generally charge $7-$10 for the basic test. One soil test should be taken for each field, or for each 20 acres within a field. See example on page 3. Soil Testing How Often Should I Soil Test? Generally, you should soil test every 3-5 years or more often if manure is applied or you are trying to make large nutrient or pH changes in the soil. -
Soil Test Handbook for Georgia
SOIL TEST HANDBOOK FOR GEORGIA Georgia Cooperative Extension College of Agricultural & Environmental Sciences The University of Georgia Athens, Georgia 30602-9105 EDITORS: David E. Kissel Director, Agricultural and Environmental Services Laboratories & Leticia Sonon Program Coordinator, Soil, Plant, & Water Laboratory The University of Georgia and Ft. Valley State University, the U.S. Department of Agriculture and counties of the state cooperating. The Cooperative Extension, the University of Georgia College of Agricultural and Environmental Sciences offers educational programs, assistance and materials to all people without regard to race, color, national origin, age, sex or disability. An Equal Opportunity Employer/Affirmative Action Organization Committed to a Diverse Work Force Issued in furtherance of Cooperative Extension work, Acts of May 8 and June 30, 1914, The University of Georgia College of Agricultural and Environmental Sciences and the U.S. Department of Agriculture cooperating. Dr. Scott Angle, Dean and Director Special Bulletin 62 September 2008 i TABLE OF CONTENTS INTRODUCTION .......................................................................................................................................................2 SOIL TESTING...........................................................................................................................................................4 SOIL SAMPLING .......................................................................................................................................................4 -
Addressing Pasture Compaction
Addressing Pasture Compaction Weighing the Pros and Cons of Two Options UVM Project team: Dr. Josef Gorres, Dr. Rachel Gilker, Jennifer Colby, Bridgett Jamison Hilshey Partners: Mark Krawczyk (Keyline Vermont) and farmers Brent & Regina Beidler, Guy & Beth Choiniere, John & Rocio Clark, Lyle & Kitty Edwards, and Julie Wolcott & Stephen McCausland Writing: Josef Gorres, Rachel Gilker and Jennifer Colby • Design and Layout: Jennifer Colby • Photos: Jennifer Colby and Rachel Gilker Additional editing by Cheryl Herrick and Bridgett Jamison Hilshey Th is is dedicated to our farmer partners; may our work help you farm more productively, profi tably, and ecologically. VT Natural Resources Conservation Service UVM Center for Sustainable Agriculture http://www.vt.nrcs.usda.gov http://www.uvm.edu/sustainableagriculture UVM Plant & Soil Science Department http://pss.uvm.edu Financial support for this project and publication was provided through a VT Natural Resources Conservation Service (NRCS) Conservation Innovation Grant (CIG). We thank VT-NRCS for their eff orts to build a 2 strong natural resource foundation for Vermont’s farming systems. Introduction A few years ago, some grass-based dairy farmers came to us with the question, “You know, what we really need is a way to fi x the compaction in pastures.” We started digging for answers. Th is simple request has led us on a lively journey. We began by adapting methods to alleviate compac- tion in other climates and cropping systems. We worked with fi ve Vermont dairy farmers to apply these practices to their pastures, where other farmers could come and observe them in action. We assessed the pros and cons of these approaches and we are sharing those results and observations here. -
International Society for Soil Mechanics and Geotechnical Engineering
INTERNATIONAL SOCIETY FOR SOIL MECHANICS AND GEOTECHNICAL ENGINEERING This paper was downloaded from the Online Library of the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE). The library is available here: https://www.issmge.org/publications/online-library This is an open-access database that archives thousands of papers published under the Auspices of the ISSMGE and maintained by the Innovation and Development Committee of ISSMGE. Interaction between structures and compressible subsoils considered in light of soil mechanics and structural mechanics Etude de l’interaction sol- structures à la lumière de la mécanique des sols et de la mécanique des stuctures Ulitsky V.M. State Transport University, St. Petersburg, Russia Shashkin A.G., Shashkin K.G., Vasenin V.A., Lisyuk M.B. Georeconstruction Engineering Co, St. Petersburg, Russia Dashko R.E. State Mining Institute, St. Petersburg, Russia ABSTRACT: Authors developed ‘FEM Models’ software, which allows solving soil-structure interaction problems. To speed up computation time this software utilizes a new approach, which is to solve a non-linear system using a conjugate gradient method skipping intermediate solution of linear systems. The paper presents a study of the main soil-structure calculations effects and contains a basic description of the soil-structure calculation algorithm. The visco-plastic soil model and its agreement with in situ measurement results are also described in the paper. RÉSUMÉ : Les auteurs ont développé un logiciel aux éléments finis, qui permet de résoudre des problèmes d’interactions sol- structure. Pour l’accélération des temps de calcul, une nouvelle approche a été utilisée: qui consiste a résoudre un système non linéaire par la méthode des gradients conjugués, qui ne nécessite pas la solution intermédiaire des systèmes linéaires. -
Unit 2.3, Soil Biology and Ecology
2.3 Soil Biology and Ecology Introduction 85 Lecture 1: Soil Biology and Ecology 87 Demonstration 1: Organic Matter Decomposition in Litter Bags Instructor’s Demonstration Outline 101 Step-by-Step Instructions for Students 103 Demonstration 2: Soil Respiration Instructor’s Demonstration Outline 105 Step-by-Step Instructions for Students 107 Demonstration 3: Assessing Earthworm Populations as Indicators of Soil Quality Instructor’s Demonstration Outline 111 Step-by-Step Instructions for Students 113 Demonstration 4: Soil Arthropods Instructor’s Demonstration Outline 115 Assessment Questions and Key 117 Resources 119 Appendices 1. Major Organic Components of Typical Decomposer 121 Food Sources 2. Litter Bag Data Sheet 122 3. Litter Bag Data Sheet Example 123 4. Soil Respiration Data Sheet 124 5. Earthworm Data Sheet 125 6. Arthropod Data Sheet 126 Part 2 – 84 | Unit 2.3 Soil Biology & Ecology Introduction: Soil Biology & Ecology UNIT OVERVIEW MODES OF INSTRUCTION This unit introduces students to the > LECTURE (1 LECTURE, 1.5 HOURS) biological properties and ecosystem The lecture covers the basic biology and ecosystem pro- processes of agricultural soils. cesses of soils, focusing on ways to improve soil quality for organic farming and gardening systems. The lecture reviews the constituents of soils > DEMONSTRATION 1: ORGANIC MATTER DECOMPOSITION and the physical characteristics and soil (1.5 HOURS) ecosystem processes that can be managed to In Demonstration 1, students will learn how to assess the improve soil quality. Demonstrations and capacity of different soils to decompose organic matter. exercises introduce students to techniques Discussion questions ask students to reflect on what envi- used to assess the biological properties of ronmental and management factors might have influenced soils. -
Controls on Carbon Accumulation and Storage in the Mineral Subsoil Beneath Peat in Lakkasuo Mire, Central Finland
European Journal of Soil Science, June 2003, 54, 279–286 Controls on carbon accumulation and storage in the mineral subsoil beneath peat in Lakkasuo mire, central Finland J. T URUNEN &T.R.MOORE Department of Geography and the Centre for Climate and Global Change Research, McGill University, 805 Sherbrooke Street West, Montre´al, Que´bec H3A 2K6, Canada Summary What processes control the accumulation and storage of carbon (C)in the mineral subsoil beneath peat? To find out we investigated four podzolic mineral subsoil profiles from forest and beneath peat in Lakkasuo mire in central boreal Finland. The amount of C in the mineral subsoil ranged from 3.9 to 8.1 kg mÀ2 over a thickness of 70 cm and that in the organic horizons ranged from 1.8 to 144 kg mÀ2. Rates of increase of subsoil C were initially large (14 g mÀ2 yearÀ1)as the upland forest soil was paludified, but decreased to < 2gmÀ2 yearÀ1 from 150 to 3000 years. The subsoils retained extractable aluminium (Al)but lost iron (Fe)as the surrounding forest podzols were paludified beneath the peat. A stepwise, ordinary least-squares regression indicated a strong relation (R2 ¼ 0.91)between organic C concentration of 26 podzolic subsoil samples and dithionite–citrate–bicarbonate-extractable Fe (nega- tive), ammonium oxalate-extractable Al (positive) and null-point concentration of dissolved organic C (DOCnp)(positive).We examined the ability of the subsoil samples to sorb dissolved organic C from a solution derived from peat. Null-point concentration of dissolved C (DOCnp)ranged from 35 to 83 mg lÀ1, and generally decreased from the upper to the lower parts of the profiles (average E, B and À1 C horizon DOCnp concentrations of 64, 47 and 42 mg l ). -
Soil Chemistry Factors Confounding Crop Salinity Tolerance—A Review
agronomy Review Soil Chemistry Factors Confounding Crop Salinity Tolerance—A Review Pichu Rengasamy School of Agriculture, Food and Wine, Prescott Building, Waite Campus, The University of Adelaide, Adelaide, 5005 SA, Australia; [email protected] Academic Editor: Matthew Gilliham Received: 26 August 2016; Accepted: 25 October 2016; Published: 29 October 2016 Abstract: The yield response of various crops to salinity under field conditions is affected by soil processes and environmental conditions. The composition of dissolved ions depend on soil chemical processes such as cation or anion exchange, oxidation-reduction reactions, ion adsorption, chemical speciation, complex formation, mineral weathering, solubility, and precipitation. The nature of cations and anions determine soil pH, which in turn affects crop growth. While the ionic composition of soil solution determine the osmotic and ion specific effects on crops, the exchangeable ions indirectly affect the crop growth by influencing soil strength, water and air movement, waterlogging, and soil crusting. This review mainly focuses on the soil chemistry processes that frustrate crop salinity tolerance which partly explain the poor results under field conditions of salt tolerant genotypes selected in the laboratory. Keywords: soil chemistry; saline soils; dispersive soils; soil physical conditions 1. Introduction The aqueous components of a soil at different water contents in the field determine the abiotic stress experienced by plants during their growth, consequently affecting the crop yield [1]. In salt-affected soils, the total concentration of dissolved salts in soil solutions, generally measured as the electrical conductivity (EC) of the soil solutions, is considered as the primary criterion affecting the yield (e.g., [2]). -
Soil Test Handbook for Georgia
SOIL TEST HANDBOOK FOR GEORGIA Georgia Cooperative Extension College of Agricultural & Environmental Sciences The University of Georgia Athens, Georgia 30602-9105 EDITORS: David E. Kissel Director, Agricultural and Environmental Services Laboratories & Leticia Sonon Program Coordinator, Soil, Plant, & Water Laboratory TABLE OF CONTENTS INTRODUCTION .......................................................................................................................................................2 SOIL TESTING...........................................................................................................................................................4 SOIL SAMPLING .......................................................................................................................................................4 SAMPLING TOOLS ......................................................................................................................................................5 SIZE OF AREA TO SAMPLE..........................................................................................................................................5 Traditional Methods.............................................................................................................................................5 Precision Agriculture Methods.............................................................................................................................5 AREAS NOT TO SAMPLE ............................................................................................................................................5