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This book covers different physiological processes, tools, and their application in crop breeding. Each chapter emphasizes on a specific trait/physiological process and its importance in crop, their phenotyping information and how best it can be employed for crop improvement by projecting on success stories in different crops. It covers wide range of physiological topics including advances in field phenotyping, role of endophytic fungi, metabolomics, application of stable isotopes, high throughput phenomics, transpiration efficiency, root phenotyping and root exudates for improved resource use efficiency, cuticular wax and its application, advances in photosynthetic studies, leaf spectral reflectance and physiological breeding in hardy crops like millets. This book also covers the futuristic research areas like artificial intelligence and machine learning. This contributed volume compiles all application parts of physiological tools along with their advanced research in these areas, which is very much need of the hour for both academics and researchers for ready reference. This book will be of interest to teachers, researchers, climate change scientists, capacity builders, and policy makers. Also, the book serves as additional reading material for undergraduate and graduate students of agriculture, physiology, botany, ecology, and environmental sciences. National and international agricultural scientists will also find this a useful resource.
This book covers different physiological processes, tools, and their application in crop breeding. Each chapter emphasizes on a specific trait/physiological process and its importance in crop, their phenotyping information and how best it can be employed for crop improvement by projecting on success stories in different crops. It covers wide range of physiological topics including advances in field phenotyping, role of endophytic fungi, metabolomics, application of stable isotopes, high throughput phenomics, transpiration efficiency, root phenotyping and root exudates for improved resource use efficiency, cuticular wax and its application, advances in photosynthetic studies, leaf spectral reflectance and physiological breeding in hardy crops like millets. This book also covers the futuristic research areas like artificial intelligence and machine learning. This contributed volume compiles all application parts of physiological tools along with their advanced research in these areas, which is very much need of the hour for both academics and researchers for ready reference. This book will be of interest to teachers, researchers, climate change scientists, capacity builders, and policy makers. Also, the book serves as additional reading material for undergraduate and graduate students of agriculture, physiology, botany, ecology, and environmental sciences. National and international agricultural scientists will also find this a useful resource.
Although they are neither technically classified as grasses nor as actual cereal grains, pseudocereals are plants that yield fruits or seeds that are utilized and consumed like grains. Pseudocereals are complete grains that are usually high in protein and free of gluten. Supposedly many of the “ancient grains” are actually pseudocereals. The Food and Agricultural Organization (FAO) has also noted that pseudocereals greatly improve health and nutrition, as well as an individual’s food supply and standard of living, all of which can contribute to future food security and sustainability. Their protein-derived peptides have been shown in previous investigations to possess antioxidant, anti-inflammatory, anti-hypertensive, anti-cancerous, and hypocholesterolemic qualities. Because pseudocereals have these intriguing qualities, more research is required to determine how best to incorporate them into the diet and what health benefits they may offer, which is exactly what this book is about. It provides essential information to scientific and non-scientific communities alike to keep interest in pseudocereals alive for the overall health and wellness of the planet.
Dynamic monitoring of crop phenotypic traits (e.g., LAI, plant height, biomass, nitrogen, yield et al.) is essential for exploring crop growth patterns, breeding new varieties, and determining optimized strategies for crop management. Traditional methods for determining crop phenotypic traits are mainly based on field sampling, handheld instrument measurement, and mechanized high-throughput platforms, which are time-consuming, and have low efficiency and incomplete spatial coverage. The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive and efficient manner. With the development of burgeoning remote sensing sensors and diversified algorithms, a range of crop phenotypic traits have been determined, including morphological parameters, spectral and textural characteristics, physiological traits, and responses to abiotic/biotic stresses in different environments. In addition, research advances in varying disciplines beyond agricultural sciences, such as engineering, computer science, molecular biology, and bioinformatics, have brought new opportunities for further development of remote sensing-based methods and technologies to gain more quantitative information on crop structure and function in complex environments
With the convergence of the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional methods of farming are undergoing transformation. By harnessing the power of data-driven insights and automation, farmers can now make informed decisions in real time, optimize resource utilization, and mitigate risks associated with crop management and livestock welfare. This book serves as a guide to the integration of IoT and AI in agriculture and discusses the methodologies, applications, and challenges in this rapidly evolving field. It details various aspects of smart farming—from crop monitoring and precision agriculture to livestock management and food supply chain transparency—and provides insight into the potential of IoT and AI to revolutionize agricultural practices and address the global challenges of food security, environmental sustainability, and economic development. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)
This book analyses the complexities of the rhizosphere ecosystem and discusses the role of insect pheromones in shaping soil health and vermicompost production. It details the mechanisms of insect pheromone communication, their impact on soil microbial communities, and their potential applications in sustainable agriculture and vermicompost production. The subject matter in this book also discusses: The Underground Symphony Pheromones in Pest Control The Sentient Soil Hypothesis Bio-Engineered Insect Allies The Global Impact of Rhizosphere Revolution Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)
Global climate change, reductions in arable land, and food security demands that plant breeding will continue to play an imperative role in feeding 9 billion people sustainably by 2050. In order to face this challenge, modern plant breeding will necessitate the adoption of new technologies and practices to boost production of cultivated plants by capturing or generating more favorable genetic diversity. In crop plants, the majority of agronomically important traits are quantitatively inherited, controlled by multiple genes each with a small effect (quantitative trait loci, QTLs). The most common approach to pre-breeding is to use genetic mapping to identify QTLs for key phenotypic variation followed by introgressing those QTLs into the elite gene pool with marker-assisted selection (MAS), which can enhance the selection criteria of phenotypes comparing to conventional breeding with the selection of genes. As the cost of genotyping continues to decline, the use of genotyping-by-sequencing (GBS) technologies or whole genome re-sequencing, coupled with the release of the genome sequences of plant species have permitted the development of dense arrays of single nucleotide polymorphisms (SNPs) covering the entire genome, which have in turn paved the way to genome-wide association studies (GWAS). Meanwhile, fine mapping guided by genome sequences of many plant species have facilitated the exploration of functional genes; in addition, pan-genomes constructed from various available resources such as the reference sequence and its variants, raw reads and haplotype reference panels provide a new perspective on QTL locations and potential molecular targets for plant breeding. Similarly, new approaches to marker-trait association analyses such as quantitative trait locus sequencing (QTL-seq) and quantitative trait gene sequencing (QTG-seq) that are based on bulked-segregant analysis (BSA) and whole-genome resequencing will help accelerate QTL fine-mapping and identification of the causal genes. In conclusion, the tools and strategies for MAS in modern plant breeding have been expanding in recent years. By embracing a broad array of conventional and new molecular techniques, modern plant breeding has a bright future in delivering new crop cultivars to keep our food, fiber and biobased economy diverse and safe.