Advances in Agronomy. Volume 187.

This volume, part of the ongoing series 'Advances in Agronomy', is a comprehensive collection of research and insights into contemporary crop and soil sciences. Edited by Donald L. Sparks, it covers a range of topics critical to modern agronomy. Key sections include an exploration of soil...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Sparks, Donald L., Donald L. Sparks
Format: eBook
Language:English
Published: Chantilly : Elsevier Science & Technology, 2024.
Edition:1st ed.
Series:Issn Series.
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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505 0 |a Intro -- Advances in Agronomy -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: What do electromagnetic sensors measure in soil surveys? -- 1. Introduction -- 2. EMS measurements -- 3. Example calculations -- 3.1. Model of EMS response at different frequencies to a two-layered terrain -- 3.2. Model of EMS response to different statistical distributions of electrical soil conductivity -- 4. Discussion and conclusion -- Acknowledgments -- Appendix A Equation -- Appendix B Numerical implementation -- References -- Further reading -- Chapter Two: No-till farming and climate change mitigation: Lessons learnt from long-term no-till experiments and future ... -- 1. Introduction -- 2. Long-term no-till experiments: A global perspective -- 2.1. Historical perspectives of NT farming -- 2.2. Long-term NT experiment: A glimpse -- 3. Sustainable soil management (SSM) vs sustainable development goals (SDGs) -- 4. Impact of NT experiments on soil properties -- 4.1. Soil physical properties -- 4.2. Soil chemical properties -- 4.3. Soil biological properties/soil microbial biodiversity -- 4.4. Nutrient stratifications -- 4.5. Processes affecting soil health -- 4.6. Reversing land degradation -- 5. NT/CA effect on weed population and dynamics -- 6. Effect of NT system on greenhouse gas emissions -- 6.1. N2O emissions -- 6.2. CO2 emissions -- 6.3. CH4 fluxes -- 7. Impact of long-term NT farming on carbon sequestration and climate change mitigation -- 7.1. Carbon storage/sequestration: A long-lasting or transient effect -- 7.2. The permanence of stocks due to NT -- 7.3. Greenhouse gas (GHG) emission: Source or sink -- 7.4. Sink for greenhouse gas emissions -- 7.5. Climate change mitigation: Slicing the myth -- 8. NT farming vs 4 per thousand (4PT) program: A reality or myth -- 9. Modeling soil processes under NT farming. 
505 8 |a 10. Socio-economic factors impact NT farming -- 11. Lessons learnt, future strategies and perspectives -- 11.1. Future perspectives of NT/CA -- 12. Conclusions -- Acknowledgments -- References -- Further reading -- Chapter Three: Foliar nitrogen and phosphorus fertilization -- 1. Introduction -- 2. Nutrient uptake by leaves -- 2.1. Uptake pathways and anatomical barriers -- 2.2. Physiological regulation -- 2.2.1. Stomatal opening and closure -- 2.2.2. Uptake of nutrients into leaf cells -- 2.2.2.1. Nitrogen -- 2.2.2.1.1. Nitrate uptake and assimilation -- 2.2.2.1.2. Ammonium transport and assimilation -- 2.2.2.1.3. Urea uptake and metabolism -- 2.2.2.2. Phosphorus uptake and assimilation -- 3. Factors affecting the efficiency of foliar fertilization -- 3.1. Fertilizer source -- 3.1.1. Nitrogen -- 3.1.2. Phosphorus -- 3.2. Crop traits -- 3.2.1. Leaf and canopy properties -- 3.2.2. Crop nutrient requirements -- 3.3. Foliar fertilization technique -- 3.3.1. Adjuvants (surfactants) -- 3.3.2. Nozzles -- 3.4. Weather parameters -- 3.5. Potential positive side effects -- 3.6. Unintended effects -- 3.6.1. Leaf scorch -- 3.6.2. Ammonia volatilization -- 4. Crop responses to foliar fertilization -- 4.1. Nitrogen -- 4.1.1. Winter wheat -- 4.1.2. Winter oilseed rape -- 4.1.3. Grassland -- 4.1.4. Sugarcane -- 4.1.5. Starch potatoes -- 4.2. Foliar phosphorus fertilization -- 5. The potential of foliar fertilization in precision agriculture -- 5.1. Remote sensing -- 5.2. Drone systems -- 6. Environmental and climate mitigation effects -- 7. Further research requirements -- 8. Conclusions -- Acknowledgments -- References -- Chapter Four: Pesticide effects on crop physiology, production and soil biological functions -- 1. Introduction -- 2. Pesticide effects on plant physiology and production -- 2.1. Pesticide effects on seed germination. 
505 8 |a 2.2. Pesticide effects on plant growth and physiology -- 2.3. Pesticide effects on crop yield -- 3. Pesticide effects on microorganisms and soil biological functions -- 3.1. Pesticide effects on soil microorganisms -- 3.2. Effects of pesticide on soil fauna -- 3.3. Effects of pesticide on soil organic carbon (C) cycling -- 3.4. Effects of pesticide on soil nutrient cycling -- 4. Mitigation measures for pesticide residue toxicity in soil -- 4.1. Use of biosurfactants and cyclodextrins -- 4.2. Exogenous microbial induced-degradation -- 4.3. The use of biochar -- 5. Perspectives and conclusions -- Acknowledgments -- References -- Chapter Five: Natural adaptations, tolerance mechanisms, and management concepts of crop plants against salt stress: A cr ... -- 1. Introduction -- 2. Salt regulation in soil: Conditions enhancing salinity -- 3. Salt regulation in crop plants: Uptake, transport, storage, and development of stress -- 4. Salinity sensing mechanism in crop plants -- 5. Natural adaptation responses to salinity in crop plants -- 6. Salt tolerance mechanisms in crop plants -- 6.1. Morphological and anatomical tolerance responses -- 6.2. Physiochemical tolerance responses -- 6.2.1. Synthesis of compatible solutes and bioactive compounds -- 6.2.2. Salt overly sensitive pathway of salt tolerance -- 6.2.3. Signaling of stress hormones for salt tolerance -- 6.2.4. Antioxidant regulation for salt tolerance -- 6.3. Crop genetic resources and their salt tolerance responses -- 6.4. Involvement of microRNAs in salt tolerance -- 7. Agronomic management strategies for alleviation of salt stress -- 7.1. Cultural management of soil and water -- 7.2. Role of plant nutrient management in salt tolerance -- 7.2.1. Role of potassium -- 7.2.2. Role of calcium -- 7.2.3. Role of silicon -- 7.3. Use of exogenous plant growth regulators. 
505 8 |a 7.4. Use of beneficial microorganisms -- 8. Biomolecular strategies for alleviation of salt stress -- 9. Conclusions and future research needs -- References -- Chapter Six: Optimizing crop nitrogen use efficiency: Integrating root performance and machine learning into nutrient man ... -- 1. Introduction -- 2. Nitrogen cycle and nutrient management -- 2.1. The nitrogen cycle -- 2.2. Nutrient management -- 3. Root system -- 3.1. Role of roots in nitrogen acquisition and nutrient dynamics -- 3.1.1. Root architecture -- 3.1.2. Root exudates -- 3.2. Role of roots in crop lodging -- 3.3. Impact of climate change on root biology -- 4. Importance of machine learning in agriculture -- 4.1. What is machine learning -- 4.2. Why machine learning is important in agriculture -- 4.3. How to apply machine learning to agricultural research -- 5. Application of machine learning in agriculture -- 5.1. Application of machine learning in root measurements -- 5.2. Application of machine learning in crop lodging monitoring -- 5.3. Application of machine learning in nutrient management -- 5.3.1. Balanced fertilization -- 5.3.1.1. Importance of balanced fertilization -- 5.3.1.2. Application of machine learning in balanced fertilization -- 5.3.2. Precision management -- 6. Concluding remarks -- 7. Perspectives -- Acknowledgments -- References -- Index. 
520 |a This volume, part of the ongoing series 'Advances in Agronomy', is a comprehensive collection of research and insights into contemporary crop and soil sciences. Edited by Donald L. Sparks, it covers a range of topics critical to modern agronomy. Key sections include an exploration of soil survey sensors, the role of no-till farming in climate change mitigation, and the impact of foliar fertilization on crop efficiency. The book also delves into the effects of pesticides on crop physiology and soil health, and reviews natural crop adaptations to salt stress. Additionally, it discusses the integration of machine learning in optimizing nitrogen use efficiency in crops. Intended for agronomists, researchers, and students, this work aims to provide a detailed understanding of these key issues and their implications for sustainable agriculture. 
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