Effects of Different Fertilization Regimes on Crop Yield and Soil
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Safe Use of Wastewater in Agriculture: Good Practice Examples
SAFE USE OF WASTEWATER IN AGRICULTURE: GOOD PRACTICE EXAMPLES Hiroshan Hettiarachchi Reza Ardakanian, Editors SAFE USE OF WASTEWATER IN AGRICULTURE: GOOD PRACTICE EXAMPLES Hiroshan Hettiarachchi Reza Ardakanian, Editors PREFACE Population growth, rapid urbanisation, more water intense consumption patterns and climate change are intensifying the pressure on freshwater resources. The increasing scarcity of water, combined with other factors such as energy and fertilizers, is driving millions of farmers and other entrepreneurs to make use of wastewater. Wastewater reuse is an excellent example that naturally explains the importance of integrated management of water, soil and waste, which we define as the Nexus While the information in this book are generally believed to be true and accurate at the approach. The process begins in the waste sector, but the selection of date of publication, the editors and the publisher cannot accept any legal responsibility for the correct management model can make it relevant and important to any errors or omissions that may be made. The publisher makes no warranty, expressed or the water and soil as well. Over 20 million hectares of land are currently implied, with respect to the material contained herein. known to be irrigated with wastewater. This is interesting, but the The opinions expressed in this book are those of the Case Authors. Their inclusion in this alarming fact is that a greater percentage of this practice is not based book does not imply endorsement by the United Nations University. on any scientific criterion that ensures the “safe use” of wastewater. In order to address the technical, institutional, and policy challenges of safe water reuse, developing countries and countries in transition need clear institutional arrangements and more skilled human resources, United Nations University Institute for Integrated with a sound understanding of the opportunities and potential risks of Management of Material Fluxes and of Resources wastewater use. -
PHOTOSYNTHESIS • Life on Earth Ultimately Depends on Energy Derived from the Sun
Garden of Earthly Delights or Paradise Lost? [email protected] Old Byzantine Proverb: ‘He who has bread may have troubles He who lacks it has only one’ Peter Bruegel the Elder: The Harvest (1565) (Metropolitan Museum of Art, New York. USA) PHOTOSYNTHESIS • Life on earth ultimately depends on energy derived from the sun. • Photosynthesis by green plants is the only process of Sucrose biological importance that can capture this energy. Starch Proteins • It provides energy, organic matter and Oils oxygen, and is the only sustainble energy source on our planet. WE DEPEND TOTALLY ON PLANTS TO SUSTAIN ALL OTHER LIFE FORMS 1 Agriculture the most important event in human history Agriculture critical to the future of our planet and humanity Agriculture is part of the knowledge based bio-economy of the 21st century Each Year the World’s Population will Grow by about ca. 75 Million People. The world population has doubled in the last 50 years 2008 Developing countries 1960 10% of the Population Lives 1927 on 0.5% of the World’s Income Developed countries 2 Four innovations brought about change in agriculture in the twentieth century.What are the innovations which will change agriculture in this century? Mechanisation: Tractors freed up perhaps 25 % of extra land to grow human food instead of fodder for draught horses and oxen; • Fertilisers: Fritz Haber’s 1913 invention of a method of synthesising ammonia transformed agricultural productivity, so that today nearly half the nitrogen atoms in your body were ‘fixed’ from the air in an ammonia factory, not in a soil bacterium; • Pesticides: Chemicals derived from hydrocarbons enabled farmers to grow high-density crops year after year without severe loss to pests and weeds; • Genetics: In the 1950s Norman Borlaug crossed a variety of dwarf wheat, originally from Japan, with a different Mexican strain to make dwarf wheats that responded to heavy fertilisation by producing more seeds, not longer stalks. -
Dakota Olson Hometown
Evaluating the Effect of Management Practices on Soil Moisture, Aggregation and Crop Development By: Dakota Olson Hometown: Keswick, IA The World Food Prize Foundation 2014 Borlaug-Ruan International Internship Research Center: International Maize and Wheat Improvement Center (CIMMYT) Location: El Batan, Mexico P a g e | 2 Table of Contents Acknowledgements……………………………………………………………………………..3 Background Information………………………………………………………………………..4 CIMMYT Research Institute The Dr. Borlaug Legacy (in relation to CIMMYT) Discuss the long-term project of CIMMYT (1999-2014) Introduction………………………………………………………………………………………5 Introduction to Field Management Practices Objectives Conservation Agriculture Program Procedures and Methodology………………………………………………………………….6 The Field Plot Technical Skills o Yield Calculations o Time to Pond Measurements o Calculating Volumetric Water Content Results……………………………………………………………………………………………8 Objective 1: Effect of Tillage Method and Crop Residue on Soil Moisture Objective 2: Effect of Tillage Method and Crop Residue on Crop Yield Objective 3: Relationship between Time to Pond and Crop Yield Analysis of Results…………………………………………………………………………….11 Discussion, Conclusion, and Recommendations…………………………………………..15 Personal Experiences…………………………………………………………………………17 Pictures…………………………………………………………………………………………20 References and Citations…………………………………………………………………….21 P a g e | 3 Preface and Acknowledgements My success at the International Maize and Wheat Improvement Center (CIMMYT) would not be possible without the multitude of supporters that allowed me to pursue this incredible opportunity. A massive thank-you to the World Food Prize Organization and the staff and supporters that supply hundreds of youth and adults across the world with empowerment and opportunities to play as a stake-holder in international development issues. A big thank- you to Lisa Fleming of the World Food Prize Foundation for playing an integral role in the success of my international internship while in Mexico. -
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. -
Comparison of Machine Learning Methods for Predicting Winter Wheat Yield in Germany
1 Comparison of Machine Learning Methods for Predicting Winter Wheat Yield in Germany Amit Kumar Srivastava Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115, Bonn, Germany. Tel: +49 228-73-2881; Email: [email protected] Nima Safaei* Department of Business Analytics, Tippie College of Business, University of Iowa, Iowa City, IA, United States. Tel: +1 515 715 3804; Email: [email protected] Saeed Khaki* Industrial and Manufacturing Systems Engineering Department, Iowa State University, Ames, IA, United States. Tel:+1 5157080815; Email: [email protected] Gina Lopez Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115, Bonn, Germany. Tel: +49 228-73-2870; Email: [email protected] Wenzhi Zeng State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China; Tel: +86 18571630103; Email: [email protected] Frank Ewert Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115, Bonn, Germany. Email: [email protected] Thomas Gaiser Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115, Bonn, Germany. Tel: +49 228-73-2050; Email: [email protected] Jaber Rahimi Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Germany; Email: [email protected] *These authors have made equal contribution to the paper. Abstract This study analyzed the performance of different machine learning methods for winter wheat yield prediction using extensive datasets of weather, soil, and crop phenology. To address the seasonality, weekly features were used that explicitly take soil moisture conditions and meteorological events into account. -
Crop Yields, Farmland, and Irrigated Agriculture
Long-Term Trajectories: Crop Yields, Farmland, and Irrigated Agriculture By Kenneth G. Cassman he specter of global food insecurity, in terms of capacity to meet food demand, will not be determined by water supply or even Tclimate change but rather by inadequate and misdirected invest- ments in research and development to support the required increases in crop yields. The magnitude of this food security challenge is further aug- mented by the need to concomitantly accelerate the growth rate in crop yields well above historical rates of the past 50 years during the so-called green revolution, and at the same time, substantially reduce negative en- vironmental effects from modern, science-based, high-yield agriculture. While this perspective may seem pessimistic, it also points the way toward solutions that lead to sustainable food and environmental se- curity. Identifying the most promising solutions requires a robust as- sessment of crop yield trajectories, food production capacity at local to global scales, the role of irrigated agriculture, and water use efficiency. I. Magnitude of the Challenge Much has been written about food demand in coming decades: many authors project increases in demand of 50 to 100 percent by 2050 for major food crops (for example, Bruinsma; Tilman and others). The preferred scenario to meet this demand would require minimal conver- sion of natural ecosystems to farmland, which avoids both loss of natural Kenneth G. Cassman is an emeritus professor of agronomy at the University of Nebraska- Lincoln. This article is on the bank’s website at www.KansasCityFed.org 21 22 FEDERAL RESERVE BANK OF KANSAS CITY habitat for wildlife and biodiversity and large quantities of greenhouse gas emissions associated with land clearing (Royal Society of London; Burney and others; Vermuelen and others). -
Future Crop Yield Projections Using a Multi-Model Set of Regional Climate Models and a Plausible Adaptation Practice in the Southeast United States
atmosphere Article Future Crop Yield Projections Using a Multi-model Set of Regional Climate Models and a Plausible Adaptation Practice in the Southeast United States D. W. Shin 1, Steven Cocke 1, Guillermo A. Baigorria 2, Consuelo C. Romero 2, Baek-Min Kim 3 and Ki-Young Kim 4,* 1 Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL 32306-2840, USA; [email protected] (D.W.S.); [email protected] (S.C.) 2 Next Season Systems LLC, Lincoln, NE 68506, USA; [email protected] (G.A.B.); [email protected] (C.C.R.) 3 Department of Environmental Atmospheric Sciences, Pukyung National University, Busan 48513, Korea; [email protected] 4 4D Solution Co. Ltd., Seoul 08511, Korea * Correspondence: [email protected]; Tel.: +82-2-878-0126 Received: 28 October 2020; Accepted: 27 November 2020; Published: 30 November 2020 Abstract: Since maize, peanut, and cotton are economically valuable crops in the southeast United States, their yield amount changes in a future climate are attention-grabbing statistics demanded by associated stakeholders and policymakers. The Crop System Modeling—Decision Support System for Agrotechnology Transfer (CSM-DSSAT) models of maize, peanut, and cotton are, respectively, driven by the North American Regional Climate Change Assessment Program (NARCCAP) Phase II regional climate models to estimate current (1971–2000) and future (2041–2070) crop yield amounts. In particular, the future weather/climate data are based on the Special Report on Emission Scenarios (SRES) A2 emissions scenario. The NARCCAP realizations show on average that there will be large temperature increases (~2.7 C) and minor rainfall decreases (~ 0.10 mm/day) with pattern shifts ◦ − in the southeast United States. -
High Yields, High Profits, and High Soil Fertility
High Yields, High Profits, and High Soil Fertility By B.C. Darst and P.E. Fixen onsider the fact that by the year 2025 in an economic squeeze, and answers don’t the per capita land base for world food come easy. Cproduction will be less than half what it A recent headline in the Southwest Farm was in 1965 (Table 1)...the result of more Press read “Good yields take the sting out of than a doubling of population, while land in low prices.” The headline emphasizes the crop production increases only slightly. impact low commodity prices are having on Imagine a highway of the farm economy. Input costs cereal grains circling the “Use more and better continue to rise while prices Earth at the equator. It is 8.3 machinery, plant the best farmers receive sometimes feet thick and 66 feet wide. It seeds...cultivate effectively, resemble those of the 1970s. represents the amount of pro- and apply the kind and What can be done to ease the duction required to feed the amount of commercial fertil- effects of the current econom- world population for one year. izer that will produce the ic downturn? Should farmers Further, it must be complete- highest yields to reduce cut costs, turn on the cruise ly reproduced each year and costs per unit...” control, and let yields fall another 650 miles added... Southern Cultivator, where they may? Such a man- just to feed the additional 1870 agement philosophy doesn’t humans born that year. make sense, even in the These are tough times for agriculture. -
Analysis and Prediction of Crop Yields for Agricultural Policy Purposes Richard Kidd Perrin Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1968 Analysis and prediction of crop yields for agricultural policy purposes Richard Kidd Perrin Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Agricultural and Resource Economics Commons, and the Agricultural Economics Commons Recommended Citation Perrin, Richard Kidd, "Analysis and prediction of crop yields for agricultural policy purposes" (1968). Retrospective Theses and Dissertations. 3689. https://lib.dr.iastate.edu/rtd/3689 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. This dissertation has been microiihned exactly as received 6 8-14,814 PEKRIN, Bichard Kidd, 1937- ANALYSIS AND PREDICTION OF CROP YIELDS FOR AGRICULTURAL POLICY PURPOSES. Iowa State University, Pb.D., 1968 Economics, agricultural University Microfilms, Inc., Ann Arbor, Michigan ANALYSIS #D PREDICTION CE CROP YIELDS FOR AGRICUIiTURÂI. POLICY PURPOSES by Richard Kidd Perrin A Dissertation Submitted to the Graduate Faculty in Partial Fulfillment of The Requirements for the Degree of DOCTOR CF HIILOSOHIY Major Subject; Agricultural Economics Approved Signature was redacted for privacy. Ina ChareeCharge of MaiorMajor Work Signature was redacted for privacy. Head of Major Department Signature was redacted for privacy. Dean Iowa State University Of Science and Technology Ames, Iowa 1968 ii TABLE CP cmTENTS Page I. INTRODUCTim AND OBJECTIVES I II. -
Balanced Fertiliser Use Increases Crop Yield and Profit (India)
India Balanced Fertiliser Use Increases Research Notes China: Balanced Fertilization for Crop Yield and Profit Sustained Yield and Quality of Tea A survey of Chinese tea gardens revealed over half the sampled areas to be deficient in potassium (K). Deficiencies were concen- By G. Dev trated in the southern provinces of Guangdong, Guangxi and Yunnan, which had an average available K content of 80 mg/kg. Balanced fertilisation refers to the application of essential plant The northern regions appeared well managed, but only 16 percent nutrients in optimum quantities and proportions. Balanced nutrient of samples from Jiangsu, Anhui and Hubei had plant-available K supply is a best management practice (BMP) that should also levels greater than 150 mg/kg. The survey identified a close rela- include proper application methods and timing for the specific soil- tionship between K deficiency and low magnesium (Mg) availabil- crop-climate situation. This BMP ensures efficient use of all nutri- ity. Unbalanced fertilizer programs based on urea and other ammo- ents, maintenance of soil productivity, and conservation of precious nium-nitrogen (NH4-N) fertilizers promoted Mg uptake by tea and resources. aggravated leaching losses due to increased soil acidity. A 4-year field trial in southern China examined the effect of K The importance of balanced fertilisation is clearly visible from the and Mg fertilization on black, oolong and green tea yield and qual- large number of long-term experiments conducted on cropping Research is showing the ity. The combination of K and Mg created greater nutrient use effi- sequences throughout different agro-climatic zones in India (Tables 1 advantages of improved crop ciency and increased yields by 17 to 28 percent for green tea, 9 to and 2). -
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. -
Distribution and Classification of Volcanic Ash Soils
83 Distribution and Classification of Volcanic Ash Soils 1* 2 Tadashi TAKAHASHI and Sadao SHOJI 1 Graduate School of Agricultural Science, Tohoku University 1-1, Tsutsumidori, Amamiya-machi, Aoba-ku, Sendai, 981-8555 Japan e-mail: [email protected] 2 Professor Emeritus, Tohoku University 5-13-27, Nishitaga, Taihaku-ku, Sendai, 982-0034 Japan *corresponding author Abstract Volcanic ash soils are distributed exclusively in regions where active and recently extinct volcanoes are located. The soils cover approximately 124 million hectares, or 0.84% of the world’s land surface. While, thus, volcanic ash soils comprise a relatively small extent, they represent a crucial land resource due to the excessively high human populations living in these regions. However, they did not receive worldwide recognition among soil scientists until the middle of the 20th century. Development of international classification systems was put forth by the 1978 Andisol proposal of G. D. Smith. The central concept of volcanic ash soils was established after the finding of nonallophanic volcanic ash soils in Japan in 1978. Nowadays, volcanic ash soils are internationally recognized as Andisols in Soil Taxonomy (United States Department of Agriculture) and Andosols in the World Reference Base for Soil Resources (FAO, International Soil Reference and Information Centre and International Society of Soil Science). Several countries including Japan and New Zealand have developed their own national classification systems for volcanic ash soils. Finally correlation of the international and domestic classification systems is described using selected volcanic ash soils. Key words: Andisols, Andosols, Japanese Cultivated Soil Classification, New Zealand Soil Classification, Soil Taxonomy, World Reference Base for Soil Resources (WRB) 1.