rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in agronomy
    part number: Volume 188
  name:
    name part: Sparks, Donald L.
    name part: 1953-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2024
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (488 pages).
  abstract: This volume in the Advances in Agronomy series, edited by Donald L. Sparks, explores several key topics in agronomy, including the history and impact of soil on human health, carbon credit programs in Indian agriculture, and the dynamics of rainfed lowland rice ecosystems in Asia. It also examines plant stress phenotyping, the expanding field of pedology, and the structure and functions of agricultural soils. The book aims to provide a comprehensive overview of current research and future prospects in these areas, targeting researchers, practitioners, and policymakers in the field of agricultural sciences.
  table of contents: Intro -- Advances in Agronomy -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: The history of soil and human health -- 1. Introduction -- 2. Past history of relations between soil and human health -- 2.1. Origin myths -- 2.2. Pre-history (2.5 million years to 3000 years BCE) -- 2.2.1. Metals -- 2.2.2. Degradation -- 2.3. Ancient history (3000 years BCE to 500 CE) -- 2.3.1. Ancient Egypt -- 2.3.2. Ancient China -- 2.3.3. Ancient India -- 2.3.4. Ancient Greece -- 2.3.5. Ancient Rome -- 3. Therapeutic uses of soil -- 3.1. Medicinal earths -- 3.1.1. Geophagia -- 3.2. Antibiotics and other medicines -- 4. Trace elements -- 4.1. Iodine -- 4.2. Iron -- 4.3. Selenium -- 4.4. Zinc -- 5. Soil microbiology -- 5.1. The gut microbiome -- 5.2. Pathogenic bacteria -- 5.2.1. Tetanus -- 5.2.2. Anthrax -- 5.2.3. Mycobacterium leprae -- 5.2.4. Escheria coli -- 5.3. Pathogenic fungi -- 5.3.1. Coccidioides immitis -- 5.3.2. Cryptococcus neoformans -- 5.4. Viruses -- 5.5. Prions -- 5.6. Human parasites -- 5.6.1. Helminths -- 6. Soil pollution -- 6.1. Heavy metals -- 6.1.1. Ancient use of metals and pollution -- 6.1.2. Modern pollution -- 6.2. Persistent organic pollutants -- 6.2.1. Oil and gas extraction activities -- 6.2.2. Soil dust -- 6.2.3. Microplastics -- 6.2.4. Landfilling -- 7. History of the analysis of soil and human health data -- 7.1. History of statistics used in soil and human health research -- 7.2. Data -- 7.2.1. Data fusion -- 7.3. Classical statistical analysis -- 7.4. Multivariate analyses -- 7.4.1. History -- 7.4.2. Methodology -- 7.5. Spatial analysis -- 7.6. Machine learning -- 7.7. Causal diagrams -- 7.8. Propensity score methods -- 7.9. Causal loop diagrams -- 8. Looking to the future -- 8.1. Collaboration between soil and human health professionals -- 8.2. Communication with the public and policy makers.
  table of contents: 8.3. Extending beyond traditional topics -- 9. Concluding comments -- References -- Web sites -- Further reading -- Chapter Two: Potential of Indian agriculture for capturing atmospheric CO2 and monetizing carbon credits to the farmers: ... -- 1. Introduction -- 2. The carbon credit program in India -- 3. Field-level issues and carbon management strategies to achieve carbon credit program -- 3.1. Intensive agriculture practices impact on soil carbon depletion -- 3.2. Different agriculture sectors and GHG emissions -- 3.3. Reducing CO2 emission with best management practices -- 3.3.1. Intercropping -- 3.3.2. Crop rotation -- 3.3.3. Cover cropping -- 3.3.4. Companion cropping -- 3.3.5. Cropping techniques -- 4. Agronomic and innovative technological advances for carbon farming -- 5. Crop diversification to enhance carbon sink in cropping systems -- 6. Technological approaches to improve inputs use efficiency and reduce carbon footprints -- 6.1. Conservation agriculture -- 6.2. Mulching -- 6.3. Demand-based site-specific nutrient application -- 6.4. Soil-based nutrient supply -- 6.5. Site-specific nutrient management -- 6.6. Nutrient expert -- 6.7. Omission plot technique -- 6.8. Nano fertilizer -- 6.9. Crop residue management (biochar, composting) -- 6.10. Precision irrigation application (sensor-based irrigation application, drip, sprinkler irrigation, hydrogel, nano c ... -- 7. Enhancing energy and water use efficiency to reduce footprints -- 8. Methodological approaches for calculating carbon credits from soil -- 9. Methodological approaches for calculating carbon credits from various agroecosystems -- 9.1. Carbon credit estimation in croplands -- 9.1.1. Biomass -- 9.1.2. Dead organic matter -- 9.1.3. Soil carbon -- 9.2. Carbon credit estimation in agroforestry systems -- 9.2.1. Branch biomass -- 9.2.2. Leaf biomass.
  table of contents: 9.3. Carbon credit estimation from grassland ecosystems -- 9.4. Biomass -- 9.5. Dead organic matter -- 10. Need to implement government schemes to provide carbon incentives to farmers -- 11. Role of the industrial sector in purchasing the carbon credit from the farmers -- 12. Modus operandi of carbon credit programs for farmers -- 13. Monetising carbon credits for farmers benefit -- 13.1. Pricing mechanism -- 14. Challenges and solutions of carbon farming-based carbon credits -- 15. Private sector contributions to carbon credit initiatives in Indian agriculture -- 16. Roadmap for enhancing the carbon credits in Indian farming -- 17. Policy framework -- 17.1. Policy recommendations -- 17.2. Current progress -- 18. Future perspective -- 19. Conclusions -- Acknowledgments -- References -- Chapter Three: Crop diversification in rainfed lowland rice ecosystems in tropical Asia -- 1. Introduction: Rainfed lowland rice cropping systems -- 2. Crop growing environments in different rainfed lowland rice regions -- 2.1. Region and climate -- 2.2. Soils -- 2.3. Differences in non-rice crop growing conditions at a farm level -- 2.3.1. Field position in a toposequence -- 2.3.2. Direct seeding of rice -- 3. Growing non-rice crops after harvesting rainfed lowland rice in South Asia -- 3.1. Soil water availability to non-rice crops -- 3.2. Management of non-rice crops -- 3.3. Effect of rice establishment method and residue management on non-rice crops -- 3.4. Effect of non-rice crop on rice yield -- 4. Non-rice crops in islands of SE Asia -- 4.1. Non-rice crops planted immediately after rainfed lowland rice -- 4.2. Other rotation options for non-rice crops -- 4.3. Rice cultivation effect on non-rice crops -- 4.4. Effect of non-rice crops in the DS on rainfed lowland rice yield -- 5. Non-rice crops in mainland SE Asia region.
  table of contents: 5.1. Non-rice crops as a viable option in coarse textured soils -- 5.2. Compacted hard pan and restricted drainage -- 5.3. Impact of non-rice crops on rice growth -- 6. Pathways to crop diversification for increased productivity from rainfed lowland rice fields -- 6.1. Utilizing local variation in growing environments -- 6.1.1. Toposequence positions -- 6.1.2. Adoption of direct seeding particularly dry direct seeding -- 6.1.3. Effective capture of rainwater and other water sources -- 6.2. Concluding comments -- References -- Chapter Four: Plant stress phenotyping: Current status and future prospects -- 1. Introduction -- 2. Phenomics: A robust tool for plant stress phenotyping -- 2.1. Visible light imaging (VLI) -- 2.2. Fluorescence imaging -- 2.3. Thermal imaging -- 2.4. Near infrared imaging (NIR) -- 2.5. Hyperspectral imaging -- 2.6. Tomographic imaging -- 2.7. Other integrated phenotyping techniques -- 3. High-throughput phenomics platforms and technological interventions -- 3.1. LI-COR: Advanced tool for plant phenotyping -- 3.2. Phytotron -- 3.2.1. Crop phenotyping by using phytotron -- 3.2.2. Role of phytotrons in genetic dissection of traits -- 4. Artificial intelligence and remote sensing integration for plant stress phenotyping -- 4.1. Traits suitable for AI and remote sensing integration -- 4.2. Strategies for AI integration with phenomics -- 4.3. Application of AI in the future of plant phenotyping -- 4.4. Limitations of AI application for plant phenotyping -- 5. Future prospects and conclusion -- References -- Chapter Five: The expanding field of pedology -- 1. Introduction -- 2. Soil science or pedology -- 2.1. The first use of the term ``soil science´´ -- 2.2. The journal Soil Science -- 2.3. The first soil conferences -- 2.4. Soil science, not pedology -- 3. Pedography, pedosphere, pedogenesis, ped -- 4. Pedology and climate.
  table of contents: 4.1. Cryopedology -- 4.2. Tropical pedology -- 5. Pedology and organisms -- 5.1. Animals -- 5.2. Humans -- 5.2.1. Anthropedology -- 5.2.2. Ethnopedology -- 5.2.3. Archeopedology -- 5.3. Plants -- 5.4. Land use -- 5.4.1. Agropedology -- 5.4.2. Ampelopedology -- 5.4.3. Ecopedology -- 5.4.4. Environmental pedology -- 5.4.5. Urban pedology -- 6. Pedology and relief -- 6.1. Hydropedology -- 6.2. Topopedology -- 6.3. Pedomorphic forms and surfaces -- 7. Pedology and parent material -- 7.1. Whole regolith pedology -- 7.2. Lithopedology, pedolith, pedosediments -- 7.3. Geopedology -- 7.4. Pedostratigraphy -- 7.5. Quaternary pedology -- 8. Pedology and time -- 8.1. Chronopedology -- 8.2. Paleopedology -- 8.3. Dynamic pedology -- 9. Other fields of pedology -- 9.1. Experimental pedology -- 9.2. Comparative pedology -- 9.3. Pedodiversity -- 9.4. Pedotechnology -- 9.5. Technopedology -- 9.6. Micropedology -- 9.7. Pedotransfer function -- 9.8. Pedometrics -- 9.9. Quantitative pedology -- 9.10. Digital pedology -- 9.11. Spectral pedology -- 9.12. Pedoderm -- 9.13. Extreme pedology -- 9.14. Forensic pedology -- 9.15. Astropedology -- 9.16. Other pedology terms -- 9.17. Potential pedology terms -- 10. Discussion -- 10.1. Pedology contributions -- 10.2. Pedology citations -- 10.3. Pedology journals -- Epilog -- Acknowledgments -- References -- Chapter Six: Linking structure and functions in agricultural soils -- 1. Introduction -- 2. The mutual interaction of structure and function in agricultural soils -- 2.1. Stratification of structure and function -- 2.2. Structure-function relations affected by agricultural management -- 2.2.1. Tillage practices -- 2.2.2. Soil compaction by trafficking -- 2.2.3. Crop rotations -- 2.2.4. Soil amendments and supply of organic matter -- 3. Quantification of soil structure -- 3.1. Soil structure as a static property.
  note: Donald L. Sparks.
  note: 3.2. Quantifying temporal changes.
  note: Includes bibliographical references and index.
  subject:
    topic: Agronomy
  subject:
    topic: Agronomie
  subject:
    topic: agronomy
  classification: SB91 .S637 2024
  classification: 630
  related item:
    title info:
      title: Issn Series
  identifier: 9780443295331
  identifier: 0443295336
  identifier: 9780443295324
  identifier: 0443295328
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SFB
    record creation date: 250329
    record change date: 20260327190311.5
    record identifier: in00005774631
    language of cataloging:
      language term: eng