eChapters

River restoration aims to rehabilitate degraded or altered river systems, enhancing ecological integrity, improving water quality, and increasing biodiversity. Despite its potential benefits, the process is complex and multifaceted, facing challenges across scientific, social, ecological, technical, and conceptual dimensions. Scientifically, there is limited understanding of how physical complexity influences key ecological processes, such as stream metabolism and contaminant degradation. Site-specific factors, altered sediment regimes, and invasive species further complicate recovery efforts, often hindering ecological restoration even when hydrological conditions are improved. Socially, restoration initiatives struggle due to a lack of public awareness and appreciation for the ecosystem services provided by healthy rivers. Economic paradigms frequently undervalue these benefits, leading to perceptions that restoration is non-essential. Additionally, many projects lack robust pre- and post-monitoring frameworks, which restricts the ability to evaluate success and adapt strategies. To achieve effective restoration, a shift in scientific approaches and enhanced public engagement are essential. River scientists must act as educators and advocates, clearly communicating the societal value of restored ecosystems. Addressing these interconnected challenges requires interdisciplinary collaboration, long-term monitoring, and a comprehensive understanding of ecological, social, and physical dynamics to yield meaningful and sustainable outcomes across various environments.

Large Ruminants Neurological examination of farm animals is an essential part of the physical examination, especially when there’s a suspicion of neurological disease. The examination begins with observing the animal’s gait and how it interacts with its surroundings. The main goal is to determine whether the neurological issue is primary (originating in the nervous system) or secondary (caused by something else) and to pinpoint where the problem is in the nervous system ( central nervous system -CNS or the peripheral nervous system –PNS ). When examining an animal, it is best to start with procedures that cause the least distress. Painful tests or more invasive checks should be done at the end of the examination.

Introduction India’s animal husbandry sector plays a vital role in the country’s economy and food security. It provides livelihood to millions of people, contributes significantly to the agricultural gross domestic product (GDP), and meets the nutritional needs of the population. The sector encompasses various aspects of livestock production, including dairy farming, poultry farming, sheep rearing, goat rearing, and piggery. Milk Production India is the world’s largest milk producer, with an annual production of 230.58 million tonnes in 2022-23. This represents an impressive growth rate of 3.83% over the previous year. The top five milk-producing states are Uttar Pradesh, Rajasthan, Madhya Pradesh, Gujarat, and Andhra Pradesh. Egg Production India is also the third-largest egg producer in the world, with an annual production of 138.38 billion eggs in 2022-23. Egg production has grown by 6.77% in the last year. The top five egg-producing states are Andhra Pradesh, Tamil Nadu, Telangana, West Bengal, and Karnataka. Meat Production India’s meat production in 2022-23 was 9.77 million tonnes, with an annual growth rate of 5.13%. The top five meat-producing states are Maharashtra, Uttar Pradesh, West Bengal,

Introduction Livestock is a global resource with significant benefits to society in the form of food, income, nutrients, employment, insurance, traction, clothing and others. Livestock sector of India holds among one of the largest globally. Around 20.5 million people depend on it on livestock for their livelihood. Livestock farming contributed 16% of small farm income households compared to an average of 14% for all rural households. provides livestock Livelihood for two thirds of the rural population. Furthermore, it provides employment to around 8.8% of the workforce population in India. India has huge livestock populations. The livestock sector contributes 4.11% GDP and 25.6% of total agricultural GDP. Livestock count Livestock farming plays an important role in the farmers’ economy. The farmers in India Maintaining a mixed farming system, i.e

Animals are exhibited in various ways and events like in fairs, judging shows, in circuses, in zoos and as performing animals. Some famous animal fairs in northern part of the country are Sonepur cattle fair of Bihar. It is the largest cattle fair of Asia, held on the confluence of holy river Ganges and Gandak annually on KartikPoornima in the month of November for the trade of animals such as Cattle, horses,goats,donkeys,camels,birds and elephants. Haathi Bazaar is the major attraction of SonepurMela. Nagaur cattle fair held during the months of January and February. It is the second biggest cattle fair in India. Pushkar Cattle Fair,popularly known as camel fair held for five-days between the months of October and November. Cattle shows are organized time to time where animals are judged for their different characteristics, selecting for their best type, possessing true breed characteristics, dairy conformation, good temperament, proper growth and development according to its age, with optimum condition of fleshing and free from defects. To take part in such shows animals are transported to different places. So, apart from knowledge of restraining methods, concept related to ageing, animal handling (flight zone, point of balance) animal behavioural consideration and welfare indicators are of much importance for transporting and presenting animals in any show. Some of

Livestock plays a pivotal role in sustaining the livelihood of millions of people worldwide, particularly in rural and semi-urban communities. Beyond providing food products such as milk, meat and eggs, livestock also contribute to income generation, draught power, manure for agriculture and socio-cultural functions in many regions. The health and productive performance of livestock animals are central to achieving the economic, nutritional and ecological goals of animal husbandry. Any compromise in animal health or productivity directly impacts farmers’ income, food security, and national agricultural output. Animal health is the foundation of productive and sustainable livestock farming. Good health ensures animals can grow, reproduce and perform at their genetic potential. Conversely, disease, poor nutrition and environmental stress can severely reduce productivity and increase mortality. Common health challenges in livestock include infectious diseases (bacterial, viral, and parasitic), metabolic disorders and management- related stress conditions. Moreover, zoonotic diseases—those transmissible to humans— are of growing concern in the context of public health and food

The Convention on Biotechnology has defined biotechnology as “any technological application that uses biological systems, living organisms or derivatives thereof, to make or modify products or process for specific use”. The global food requirement is increasing with growing population, so the productivity gap could be filled by improving genetic health. Animal breeding focuses on genetic improvement through biotechnological and genomic approaches. Genetic progress is influenced by the type of biotechnology such as selection accuracy, genetic interval, intensity of selection, genetic variance. It helps to improve animal production, treatment of genetic disorders, production of transgenic animals resistant to diseases, vaccine production and also to maintain genetic diversity for endangered species. Genomic selection is a type of marker assisted selection. It improves the genetic gain by decreasing genetic interval and improving reliability. These novel approaches have high potential in animal breeding, if executed judiciously may provide practical benefits to mankind. The magnitude of genetic improvement of livestock species

Introduction Care and management of calf • Begins before its birth. • Good dairy herds are raised rather than purchased. • Dam should be dried 6-8 weeks before expected calving and should be fed well. • Underfed dam will give weak and small calves. Steps of calf management 1.  Removal of mucous • Immediately after birth:  removal of mucous or phlegm from nostril, mouth, eyes & ears for normal breathing. • Rub and dry the calf with a dry cloth or gunny bag • If cow not licking: sprinkle a little common salt on calf’s body. • If calf does not start breathing: Provide artificial respiration by: • Compressing and relaxing the chest with hands • Swinging • Inserting twig in nostril 2.  Ligation of naval cord • Cutting of naval cord: ligate-2.5cm & cutting-1cm below.

Raising healthy and productive animals is a cornerstone of successful livestock farming. Whether the goal is milk production, meat, draught power or breeding, the foundation of a thriving animal enterprise lies in appropriate general management and feeding practices that consider the animal’s stage of growth, reproductive status and work requirements. Each class of animal—calves, heifers, pregnant and lactating females, dry animals, bulls and working animals—has unique physiological needs that must be addressed through specialized care and nutrition. Modern animal husbandry aims not just at higher productivity but also at ensuring animal welfare, sustainability and profitability. Scientific and stage-specific practices improve the animals' lifetime performance and reduce mortality, disease incidence and reproductive failure. In this context, proper rearing practices are not merely a routine, but a strategic necessity. The calf represents the future of the herd. Ensuring its survival, growth and development is crucial for long-term productivity

According to the World Health Organization (2005), total health means the physical, mental, emotional and social health of a person. In these days of turmoil and hustle-bustle of modern life, emotional health has become as important as physical and mental health of an individual. A man should be physically fit, mentally alert, emotionally matured and socially adjusted, to lead a well-balanced life. A man who is having sound physical and mental health will also have good emotional health which will lead to social health. It means that all these four components of health are interrelated.

Emotional health depends upon a man’s emotional wellbeing, which is based on our self-concept, and self-esteem, that is how we feel about ourselves and behavior which is appropriate and healthy. Emotionally healthy people can adjust to their environment and solve their problems effectively and efficiently and in this way, they get satisfaction and pleasure out of life. So, it is essential to study the mental and emotional health of an individual, as both mental and emotional health are interrelated. It means that a person who is mentally healthy will also be emotionally healthy. In the same way, one who has good emotional health will also have good mental health.

The purpose of technological advancement these days is to make our lives comfortable. But many of the new inventions have added more stress to our lives and have made our lives increasingly more complex and complicated. Even more needs and demands seem to be built into our daily lives. These demands have affected the mental health, wellness, and psychological well-being of people living in our society.

These days, many advances have been made in eradicating disease, poverty, and other problems that have plagued our society, with the strains of modern living. Insecurity, worry, unhappiness, etc., have increased and have made mental illness our number one health problem. Anxiety and tension have increased so much that one out of every ten persons in our society has started taking tranquilizing drugs in one form or another.

The cases of mental illnesses have also increased these days, as shown by the admission records of the mental hospitals. These conditions have given birth to many psychological problems that are related to mental health. In this chapter, we are going to study those problems.

Climate change affects horticultural crops through rising temperatures, irregular rainfall, extreme weather, altered carbon dioxide levels and changes in seasonal patterns. These conditions influence plant growth, flowering, fruit development, nutritional quality and geographical suitability. They also alter the development, survival, reproduction and distribution of horticultural insect pests. Warmer conditions may accelerate insect life cycles, increase the number of generations and intensify crop infestations. Changes in rainfall can either suppress pest activity or create favourable conditions for outbreaks. This chapter examines interactions among climate, horticultural crops and insect pests and highlights the need for proactive monitoring and climate-adaptive pest-management strategies to safeguard horticultural production.

Successful onion cultivation begins with vigorous, disease-free seedlings and their timely establishment in the field. Seed quality, nursery-bed preparation, growing medium, nutrition, irrigation, weed control and protection against pests and diseases determine seedling performance. This chapter explains conventional and modern nursery-management practices, including raised beds, plug trays, protected structures, soilless media, fertigation and climate-controlled production. It also discusses seedling selection, hardening, transplanting age, spacing and field establishment. Mechanized, robotic and precision transplanting systems are examined as solutions to labour shortages and uneven planting. Climate-resilient nurseries, sensors and automation can further improve transplant survival, resource efficiency, uniformity, productivity and sustainability.

Processing extends onion availability and transforms perishable bulbs into stable, marketable products such as dehydrated flakes, powder, paste and pickles. Onion is also rich in phenolic acids, flavonols, anthocyanins and organosulphur compounds associated with antioxidant, antimicrobial, anti-inflammatory and cardioprotective properties. This chapter explains processing operations, quality preservation and the commercial importance of value-added onion products. It also addresses the large quantities of peels, outer scales and trimmings generated during processing. These residues contain quercetin, polyphenols, dietary fibre and other useful compounds that can be recovered for functional foods, nutraceuticals, natural antioxidants, biofuels and biodegradable materials, supporting waste reduction and a circular bioeconomy.

Artificial intelligence and machine learning provide the technological foundation for intelligent agricultural applications. This chapter introduces supervised, unsupervised and reinforcement learning, model-development pipelines, feature engineering and evaluation metrics. It explains how algorithms can be selected and implemented for agricultural datasets that may be noisy, incomplete, variable or weakly labelled. Advanced topics include deep-learning architectures, transfer learning and model optimization. Practical considerations involving preprocessing, interpretability and deployment constraints are also discussed. Agricultural case studies illustrate AI applications in crop-yield prediction, plant-disease detection and environmental modelling. The chapter provides the technical foundation needed to design, evaluate and responsibly implement AI-driven agricultural solutions.

The Internet of Things supports continuous monitoring of soil, crops, weather and other field conditions through distributed sensors and connected devices. This chapter proposes an edge-cloud architecture designed to address scalability, heterogeneous data, communication latency and energy requirements. Edge nodes conduct local processing and anomaly detection, while cloud platforms provide storage and run advanced machine-learning models. Applications include crop-status evaluation, irrigation scheduling, pest and disease detection and yield forecasting. Explainable artificial intelligence improves transparency by helping users understand model recommendations. The integrated architecture can reduce response time compared with conventional centralized systems and provides a foundation for scalable, efficient and responsive next-generation smart-farming operations.

Hypothesis testing provides a statistical framework for making inferences about populations from sample observations obtained through random experiments. This chapter introduces the scientific logic underlying statistical hypotheses and explains the formulation of null and alternative hypotheses. It discusses one-tailed and two-tailed tests, levels of significance, Type I and Type II errors, sampling distributions, test statistics, critical regions, p-values, and decision-making. The chapter also explains statistical significance and the interpretation of test results. Applications of Student’s t-test and related procedures are illustrated through forestry and biological examples, enabling researchers to determine whether observed differences between means can reasonably be attributed to treatments rather than random sampling variation.

Generative Artificial Intelligence (GenAI) is rapidly transforming education by changing how knowledge is created, delivered, assessed, and experienced. Unlike conventional digital technologies that primarily retrieve or process existing information, generative AI can produce new text, images, audio, code, explanations, questions, and other learning resources in response to user prompts. This chapter introduces the foundations of GenAI and traces its evolution within educational environments, from conventional digital learning systems to intelligent, adaptive, and personalized platforms. It examines the role of Large Language Models, Retrieval-Augmented Generation, Learning Management System integration, multimodal learning, adaptive assessment, and AI-supported instructional design. The chapter also considers evidence from educational implementations involving school, higher education, and other learner groups. Particular attention is given to student engagement, self-regulated learning, teacher productivity, accessibility, fairness, privacy, and governance. By establishing the technological and pedagogical foundations of GenAI, the chapter provides a framework for understanding its opportunities, limitations, and responsible integration into contemporary education

Educational content development traditionally requires substantial time and effort from teachers, instructional designers, and academic institutions. Generative AI is changing this process by enabling the rapid creation, adaptation, personalization, and transformation of learning materials. This chapter examines how GenAI can redesign educational content generation across different subjects, educational levels, and learner requirements. It explores automated lesson-plan generation, question-bank development, personalized learning materials, visual and interactive resources, simulations, and multimodal educational content. AI systems can generate explanations at different levels of complexity, create assessments aligned with learning outcomes, and adapt instructional materials to student performance. Such capabilities can support differentiated instruction, self-paced learning, and improved learner engagement while reducing repetitive preparation work for educators. The chapter also examines important challenges, including content accuracy, algorithmic bias, copyright, data privacy, academic integrity, and teacher readiness. Future possibilities include adaptive tutors, multimodal content generation, AI-supported curriculum design, and intelligent learning resources. Overall, the chapter emphasizes that GenAI should augment professional educational judgment rather than replace it.

Student engagement and creativity are essential components of meaningful learning, particularly when education moves beyond passive knowledge transmission toward active participation and experiential learning. Generative AI is enabling educators to create interactive games, dynamic stories, role-playing environments, virtual laboratories, and realistic simulations that respond to individual learners. This chapter explores the potential of AI-generated creative learning environments to increase motivation, participation, imagination, problem-solving, and higher-order thinking. AI-generated educational games can dynamically adjust difficulty, generate new tasks, track student progress, and provide personalized feedback. AI-supported storytelling allows learners to modify narratives, develop characters, create alternative endings, and become active co-creators of educational content. Simulations provide opportunities to experiment with realistic situations without the cost or risk associated with physical environments. Applications include science laboratories, healthcare training, business decision-making, historical role-play, emergency management, environmental planning, and engineering design. The chapter also examines challenges including bias, privacy, infrastructure limitations, overdependence on technology, and changing teacher roles. Overall, AI-generated creative environments can connect theoretical knowledge with authentic practice while supporting deeper engagement and creativity.

The growing adoption of Generative AI in education offers substantial benefits in personalization, content creation, assessment, tutoring, and administrative efficiency, but it also introduces significant ethical, legal, and pedagogical challenges. This chapter examines the principles and practices required for responsible application of GenAI across educational environments. It focuses on algorithmic bias, fairness, data privacy, academic integrity, intellectual property, transparency, accountability, and the digital divide. AI models trained on large datasets may reproduce historical stereotypes or generate inaccurate and discriminatory content, potentially affecting marginalized learners. The extensive collection and processing of student information also raises concerns about informed consent, data storage, security, and appropriate use. Generative AI challenges traditional concepts of authorship and academic integrity because students may use AI to produce essays, assignments, and other academic work. The chapter discusses institutional policies, ethical audits, transparent content moderation, teacher and student AI literacy, human oversight, and multi-stakeholder governance. International principles such as UNESCO and IEEE guidance are considered as foundations for responsible implementation. The chapter emphasizes that trustworthy educational AI must remain human-centered, transparent, inclusive, accountable, and continuously evaluated.

Teachers perform numerous instructional, administrative, assessment, and planning activities that can consume substantial amounts of professional time. Generative AI offers opportunities to reduce repetitive workload while enabling educators to devote greater attention to pedagogy, mentoring, creativity, and student relationships. This chapter examines how GenAI can empower teachers rather than replace them. AI tools can assist with lesson planning, differentiated instruction, question-bank creation, assessment rubrics, feedback generation, learning-material development, classroom analytics, and administrative documentation. Adaptive AI platforms can analyze learner performance and help teachers provide different levels of support, practice, and challenge according to individual needs. Generative AI can also expand teachers’ creative capacity by enabling the development of stories, gamified activities, simulations, multimodal resources, and inclusive learning pathways. The chapter considers teacher experiences and implementation cases, including AI-supported teacher education and multilingual content generation. At the same time, successful adoption depends on teacher AI literacy, professional development, institutional support, ethical awareness, and appropriate human oversight. The chapter presents teachers as co-creators and change agents who use AI strategically while retaining professional judgment, responsibility, and control over educational decisions.

Education has continuously evolved in response to technological, economic, and social change. Education 5.0 represents a further transformation toward human-centered, personalized, inclusive, creative, sustainable, and collaborative learning environments supported by intelligent technologies. This chapter examines the evolution from Education 1.0 through Education 4.0 and explains how Generative Intelligence contributes to the emerging Education 5.0 paradigm. Earlier models progressed from teacher-centered knowledge transmission to standardized education, digitally connected learning, and technology-enabled competency development. Education 5.0 extends this evolution by emphasizing meaningful collaboration between humans and intelligent systems rather than simple technology adoption. Generative AI can support personalized content, automated assessment, intelligent tutoring, adaptive learning pathways, multimodal resources, and immersive educational experiences. The chapter also considers the role of AI, IoT, AR/VR, robotics, big data, cloud technologies, and other digital systems in shaping future learning ecosystems. Importantly, Education 5.0 must address data privacy, algorithmic fairness, academic integrity, digital inequality, sustainability, and human control. The chapter presents Education 5.0 as a human-centered transformation in which technology supports creativity, inclusivity, lifelong learning, social responsibility, and sustainable development.

The growing integration of Large Language Models into healthcare, education, business and cybersecurity has created new opportunities while introducing significant security and privacy risks. This chapter provides a comprehensive examination of vulnerabilities across the LLM lifecycle, from training and inference to deployment and integration with external applications. It discusses threats including prompt injection, jailbreak attacks, model extraction, membership inference, privacy-attribute inference and adversarial prompting. Deployment environments introduce additional risks involving unauthorized API access, misconfiguration, insecure integrations, logging-related data leakage and supply-chain attacks. The chapter also considers availability and integrity threats, including denial-of-service attacks and attempts to manipulate or remove AI-generated content watermarks. Privacy protection mechanisms such as differential privacy, anonymization, de-identification and encryption are examined as potential safeguards. Legal and regulatory considerations are also addressed, including data protection requirements and organizational governance. Because LLM applications may process sensitive personal and business information, security cannot be treated as an isolated technical feature. The chapter emphasizes continuous monitoring, secure architecture, privacy-preserving techniques, access controls and responsible governance for trustworthy LLM deployment.

The rapid adoption of Large Language Models requires organizations to manage not only model performance but also ethical, regulatory, operational and lifecycle risks. This chapter presents an integrated perspective on governance, optimization and lifecycle management of LLMs. It examines governance principles based on fairness, accountability, transparency, human-centered design and responsible AI. Regulatory developments and policy gaps are considered alongside the challenges of auditing opaque models, controlling hallucinations and establishing accountability across organizations and jurisdictions. The chapter also explores optimization methods such as pruning, quantization, model compression, instruction tuning, LoRA and QLoRA to improve efficiency while maintaining useful capabilities. Lifecycle management extends from data collection and model design through training, evaluation, deployment, monitoring, updating and eventual decommissioning. Real-world cases demonstrate the importance of continuous testing, feedback, security controls and governance throughout the model lifecycle. Emerging threats, including prompt injection, data poisoning, misinformation, privacy leakage and malicious use, further emphasize the need for coordinated oversight. The chapter ultimately advocates a lifecycle-based governance framework combining technical optimization, regulatory compliance, ethical safeguards and continuous monitoring

Decision Support Systems convert farm data into recommendations that improve livestock productivity, health and sustainability. This chapter explains data-driven, model-driven and knowledge-based systems and their principal components: data management, analytical models and user interfaces. Technologies such as IoT, artificial intelligence, machine learning and cloud computing support applications in feed optimization, disease prediction, reproductive management, milk production and animal-welfare monitoring. Dairy and poultry examples demonstrate how DSS can reduce operational costs and strengthen farm decisions. Implementation challenges include inadequate data quality, high costs, limited technical expertise and maintenance requirements. Future systems are expected to integrate blockchain, robotics, Edge AI and increasingly autonomous management technologies.

Evaluation is a systematic process of determining the merit, worth, effectiveness and value of a programme through the collection, analysis and interpretation of relevant information. In agricultural extension, evaluation provides a structured basis for understanding whether programmes are achieving their intended objectives and how their implementation can be improved. This chapter introduces the fundamental concepts, purposes, types and criteria of programme evaluation and explains its role in accountability, decision-making, learning and programme development. It discusses formative and summative evaluation and examines approaches such as objective-based, process-oriented, theory-based and participatory evaluation. The chapter also introduces important principles governing credible evaluation, including impartiality, independence, transparency, competency, participation and pragmatism. Particular attention is given to the role, competencies and credibility of evaluators. Theories of evaluation, programme theory, social science theory, Utilization-Focused Evaluation, Values-Engaged Evaluation, Empowerment Evaluation and Theory-Driven Evaluation are also examined, providing a theoretical foundation for evidence-based agricultural extension evaluation.

Sexual propagation through seeds is a fundamental method for producing horticultural crops, rootstocks, and planting material. This chapter explains seed structure, quality, viability, dormancy, germination, and factors affecting successful seedling establishment. Different types of seed dormancy and methods for overcoming dormancy are discussed, including scarification, stratification, chemical treatments, temperature management, and appropriate moisture conditions. Seed testing and quality considerations are important for obtaining uniform and healthy plants. The chapter also emphasizes the influence of temperature, oxygen, water, light, and substrate conditions on germination. Understanding seed biology enables students and growers to produce vigorous seedlings and establish reliable nursery and crop-production systems.

Successful orchard establishment requires careful planning of site, climate, soil, water, planting material, spacing, and crop architecture. This chapter explains principles of orchard planning and establishment, including site evaluation, land preparation, layout, pit preparation, planting systems, and selection of suitable cultivars and rootstocks. Traditional and modern planting systems, including high-density and ultra-high-density systems, are discussed in relation to light interception, productivity, mechanization, and efficient resource use. Proper orchard design also facilitates irrigation, fertigation, pruning, harvesting, and plant protection. The chapter emphasizes long-term planning because perennial horticultural crops remain productive for many years and early establishment decisions strongly influence future orchard performance.

Metabolic fingerprinting and profiling provide powerful approaches for investigating global biochemical changes within biological systems. This chapter explains the principles of metabolic fingerprinting and profiling and distinguishes between broad, untargeted characterization and targeted analysis of selected metabolites. It discusses experimental design, sample preparation, analytical platforms, data preprocessing, normalization, statistical analysis, and multivariate approaches used to identify meaningful metabolic patterns. Techniques such as principal component analysis and related statistical methods help reveal differences between biological conditions. The chapter highlights applications in disease investigation, agricultural research, environmental studies, food analysis, and biotechnology, while emphasizing the importance of reproducible analytical procedures and appropriate interpretation of complex metabolomic datasets.

Composting explains the biological decomposition of organic materials and its importance for soil fertility, nutrient recycling, and sustainable farm management. The chapter introduces stages and types of composting, including anaerobic, aerobic, and vermicomposting systems, and discusses physical, chemical, biological, economic, and social benefits. Major methods such as Indore, Coimbatore, Bangalore, NADEP, sugarcane trash composting, fermented mixed compost, and crop-residue composting are presented. Factors affecting decomposition, including carbon-to-nitrogen ratio, shredding, moisture, and temperature, are examined. The chapter concludes with vermicomposting, earthworm roles, materials, preparation, developmental phases, and essential conditions required for effective vermicompost production. with emphasis on practical farm-level management practice systems.

Orchids represent a premium segment of commercial floriculture because of their distinctive flowers, long vase life and high market value. This chapter introduces major commercial orchid groups, including Dendrobium, Cymbidium, Cattleya, Phalaenopsis and Paphiopedilum. It discusses botanical features, climate requirements, growing media, propagation, tissue culture, planting, nutrition, irrigation, shade management and greenhouse production. Important pests, diseases and physiological problems are covered along with harvesting, grading, storage and postharvest handling. The chapter also includes commercial standards and cultivar characteristics, making it useful for understanding the specialized management required for high-value orchid production and export-oriented floriculture.

Introduction

Data collection, compilation and analysis of Aquaculture data has a major role to play in Aquaculture research. The time spent in collecting, compiling, analysing statistical data and taking appropriate timely action creates a gap in aquaculture. Therefore timely action is very much essential. This gap can be reduced by taking help of computers in collection, compilation and analysis of statistical data which will save time as well as manpower and will help in taking appropriate action in appropriate time. Electronic spreadsheet has a major role to play in this context even if the user is having little or no programming knowledge. The most widely used office automation package is one of the components which consists of spreadsheet application, in which accounting, balance sheet calculations, statistical data analysis, graphical presentations, etc. are possible with few key strokes and mouse operation only. EXCEL has several capabilities which include opening of a workbook; entering and editing data; building formulas to calculate values; managing list of data; formatting data; creating a chart; saving a workbook; opening and saving files from other spreadsheets; linking documents from other spreadsheets, data analysis, etc.

Hard pesticide: One which persists for a long time in the environment; particularly applies to organochlorine insecticides.

Habit, Habitus: The general appearance of an organism; facies.

Habitat modification: Alteration of the environment where an organism occurs, e.g., cultivating land for agriculture.

Habitat: The environmental conditions and associated organisms that occur in a particular site; the place where plants and animals live, usually with a distinctive boundary (e.g. field, pond, sand-dune, rocky crevice); the natural or usual dwelling place of an individual or group of organisms. (L. habitus = condition).

Habituation: A form of associative learning in which a given stimulus no longer elicits a response; learning not to respond to a stimulus that provides no reward or punishment.

Habituation: Reduction in the response to a stimulus with repeated exposure, through modification of the central nervous system.

Haematophagous: Blood-sucking; blood –feeding.

Haemocoel (also hemocoel): The main body cavity of many invertebrates, including insects, formed from an expanded ‘blood’ system that is filled with blood (haemolymph) within which the internal organs lie.

Dah: A metal with handle used for cutting trees and cleaning jungle growth. See Fig.1D.

Dead axle (tractor trolley): An axle beam, which does not drive the road wheels. Usually refers to a rear axle which does not have any rotating parts within it, but on which the rear wheels are mounted with antifriction bearing.

Dead centre: 1. The centre, which is fitted into the tailstock of a lathe and does not rotate with the work. 2. The extreme top or bottom position of the crankshaft throw at which the piston is not moving in either direction.

Dead furrow: An open trench left in between two adjacent strips of land after finishing the ploughing operation. See Fig.1B

Dead weight: The weight of a vehicle or carrier itself as distinguished from carried or live load.

Dahi : It is the product obtained from pasteurized or boiled milk by souring, natural or by harmless lactic acid or other bacterial culture. It is also called Curd.
Daidzein : These are the substance from which daidzein is derived and are isoflavone C₁₅H₁₀O₄ found chiefly in legumes and esp. soybeans.
Dairy : It is a farm building often a single room in which milk is cooled and temporarily stored prior to collection for transportation to the commercial diary. Here the milk is treated and made into cream, butter and cheese. Or

Abnormal milk: It is milk that is not smooth and homogenous but is flaky, ropy, stringy, slimy, watery, discoloured or bad flavoured.
 
Abrassive peeler: It is equipment comprising a rotating drum lined with carborandum (an abrasive material) in which certain vegetables like potato and ginger are tumbled and exposed to the abrasive action of the carborandum lining, thereby facilitating separation of peel from the vegetables (Plate 1).

Absinthe: It is green liquor which is flavored with wormwood, anise, and other aromatic herbs. Its commercial production is banned in many countries for health concerns.

The propagation of plants has been a fundamental occupation of mankind since civilization begins. Agriculture started some 10,000 years back when ancient people learned plants and grow kind of plants that fulfilled nutritional needs for themselves and their animals (Hartman et al., 1981). As civilization advanced, people added to the variety of plants cultivating not only for additional food crops but also those that provided fibres, medicine, recreational opportunities and beauty. From the great diversity and variation in plant life, it has been possible to select kinds of plants particularly useful to the welfare of humans and their animals. Bio-diversity has attracted the world wide attention because of growing awareness of its importance on the one hand, and the anticipated awareness depletion on the other. About 20 per cent of all species are expected to be lost within 30 years and 50 per cent or more by the end of 21st Century (Myers, 1993). India is one of the 12 mega-diversity countries globally recognized for its rich diversity, since its geographic position extends from sea level to the highest mountain ranges in the world.

Abstract

In the emerging era of wide spread use of IT tools, up-to-date information on water resources is the key to support economic development, conserve the nature as well as to improve the quality of life. Due to rapid rise in population  and food demand, growing economy and improving living standards; the pressure on our water resources is increasing and it will become scarce in the coming decades if not managed at this stage in a integrated way. Water resources management requires a multi-disciplinary approach that combines a collection of technical tools and expertise along with stakeholders of diverse interests and priorities in planning and management and an operational water resources information system at national level is the first requirement.

Seed Storage Structures
Seed Storage Structure
Kuluppai / Kulumai (Mud Pot)
Th. Gopalakrishnan, 52 years old is residing in A.Edayapatti village in Manapparai taluk of Trichy district. He is educated up to 10^th standard and has agriculture as his primary occupation. He possesses a post harvest storage structure called ‘kuluppai/kulumai’.

It is a storage structure used to store grains, which is suited to all ecosystems. This structure is invented by ancestors and maintained for more than 100 years until now. 

Agricultural Tools
DSIR/TPDU/TIF 056 and E-28-GO-GOI Research Scheme on “Documentation and Preservation of Agricultural Traditional Knowledge through Farmer Participatory Approach”

A. In vitro Rumen Fermentation Technique for Forage Quality Evaluation

The term in vitro means “in a glass” in contrast to in vivo which is defined as “within the living body”. In vitro implies a close relationship to an in vivo measurement an in vitro reaction is used as a substitute for a reaction which normally occurs and is observed within a living body. the terms  “artificial rumen” and “in vitro rumen fermentation” are often used interchangeably.

The main advantage of the in vitro techniques rests in the ability to use them to study activity of micro-organisms away form the control and influence imposed by the host animal.

Principle

The use of boric acid as an ammonia absorbent was first introduced by winkle  (1913-15). Conway and O’Malley (1942) used boric acid for ammonia absorption in their original micro diffusion technique.

The ammonia liberated in the outer chamber by alkali addition in the usual way is absorbed in boric acid mixture plus indicator in the central chamber (slightly reddish), the pH of this mixture being approximately 5 before absorption. During the ammonia absorption the pH of the mixture rises, and to upwards of 8.0 (the strength of the mixture being such as to prevent it rising further). After the required period, the fluid in the central chamber is titrated to a faint permanent reddish tint with standard acid. A mixture of methyl red and bromocresol green was found satisfactory  to work as an indicator to assist in titration job.

Total Protein in Tissue Extract or Blood, Serum or Plasma
(Method of Folin-Ciocalteu, 1927 modified by Lowry et al., 1951)
Principle

A deep blue dye is formed when protein is treated with the phenol reagent of Folin ciocalteu. The extraordinary sensitivity of the method is due to the fact that two colour reactions are taking place simultaneously.
    a.    The biuret reaction of peptide bonds with copper in alkaline solution.
    b.    A reduction of phosphomolybdic acid and phosphotungstic acid by the aromatic amino acids, tyrosine and tryptophan, present in the protein.

Air is one of the most important constituents of man’s environment. It is calculated that a roan breathes about 22,000 times a day inhaling about 16 kg of air by weight. Air is present everywhere and its entrance from one place to another cannot be checked. Clean and pure air is very essential for the health and survival of man.

The phenomenon we call tsunami is a series of large waves of extremely long wavelength and period usually generated by a violent, impulsive undersea disturbance or activity near the coast or in the ocean. A tsunami is a very long-wavelength wave of water that is generated by sudden displacement of the seafloor or disruption of any body of standing water.  Tsunami are sometimes called “seismic sea waves”, although, as we will see, they can be generated by mechanisms other than earthquakes.  Tsunami have also been called “tidal waves”, but this term should not be used because they are not in any way related to the tides of the Earth.  Because tsunami occur suddenly, often without warning, they are extremely dangerous to coastal communities.

Abstract

Entrepreneurs take responsibility of their ‘business’ tad differently than their counterpart, the traditional businessman. A businessman walks on the pre-defined route whereas the entrepreneur creates his own alley-way, which if successful, becomes the rulebook for that trade. Lately, ecological issues have taken centre-stage as climatic changes have endangered the sustainable growth of the business. A new breed of entrepreneurs, alias ecopreneurs, functions in this ‘new’ space and endeavour to frame an innovative business landscape. Ecopreneurs possess singular focus on the safe-keep of the ecology. But in order to sustain the efforts of businesses in ecology, it is imperative that they remain economically viable too. Thus, ecopreneurial process is not only about fulfilling the business’ responsibility towards ecology, but also about the marketability of the product or service. In order to evaluate the ecopreneurial process, organic farming is considered as a case. In this paper, selected organic farms are analysed in an environment - market continuum, developed particularly for this study which is in tandem with the works of Schaltegger (2002) and Blake and Mouton (1964).The study reveals inadequacy of market performance of the individual and farm level ecopreneurs in the state of West Bengal, in spite of their strong inclination towards care for the environment.

Introduction

Disasters are the natural and man made extreme events which exceeds the tolerable magnitude of any event, where adjustment is difficult. These events are catastrophic and results in the loss of life and property on a huge scale. These abnormal events form the headlines to the newspapers and media a world and national level.

These processes are beneficial to the human beings because they form the earth and habitable planet for the evolution of life. However, these processes within a short time limit forms, hazardous and such activities adversely affect the human beings and human related activities on a very large scale.

Amongst the three important types of disasters viz. natural, anthropogenic and technological, the first and the foremost natural disaster mainly includes the geological atmospheric and other related natural types viz. floods, earthquakes, cyclones, tsunamis etc.

INTRODUCTION

Livestock plays a very important role in the mixed farming system of the country contributing about 25 per cent of Gross Domestic Products (GDP) from agricultural sector. India has the largest population of cattle and buffaloes and the highest producer of milk in the world. India has also the second largest population of goats and one of the leading countries in poultry sector. There has been a tremendous increase in milk, meat and egg production since independence. However, owing to various reasons viz. , low genetic potential, scarcity of feeds and fodders, diseases, poor management practices etc. , the productivity is quite low. Climatic conditions of a place have also an important bearing on livestock production and productivity. Climatic factors like ambient temperature, humidity, solar radiation and wind velocity are the important ones which make up the physical environment of the animal having direct and indirect influences on animal’s responses towards climate. Temperature and humidity are the most crucial with the former being the most researched one. Extremes of hot and cold weather are creating stress to any animal and the effects are more severe under hot and humid climate. The varied effects of undesirable climate on animals are pertaining to feed and water intake, physiological, biochemical and endocrinological aspects, reproduction, health and productivity etc. Thus, the positive and negative effects of the environment on the livestock have been discussed in a way to undertake some protective measures.

Capacity : The amount a company or an economy can produce using its current equipment, workers, capital and other resources at full tilt. Judging how close an economy is to operating at full capacity is an important ingredient of monetary policy, for if there is not enough spare capacity to absorb an increase in demand, price are likely to rise instead. Measuring an economy’s output gap – how far current output is above or below what it would be at full capacity – is difficult, if not impossible, which is why even the best-intentioned central bank can struggle to keep down inflation. When there is too much spare capacity, however, the result can be deflation, as firms and employees cut their prices and wage demands to compete for whatever demand there may be.

Capital adequacy ratio : The ratio of a banks’s capital to its total assets, required by regulators to be above a minimum (“adequate”) level so that there is little risk of the bank going bust. How high this minimum level is may vary according to how risky a bank’s activities are.

Capital Asset Pricing Model : A method of valuing assets and calculating the cost of capital (for an alternative, see arbitrage pricing theory). The capital asset pricing model (CAPM) has come to dominate modern finance. The rationale of the CAPM can be simplified as follows. Investors can eliminate some sorts of risk, known as residual risk or alpha, by holding a diversified portfolio of assets (see modern portfolio theory). These alpha risks are specific to an individual asset, for example, the risk that a company’s managers will turn out to be no good. Some risks, such as that of a global recession, cannot be eliminated through diversification. So even a basket of all of the shares in a stock market will still be risky. People must be rewarded for investing in such a risky basket by earning returns on average above those that they can get on safer assets, such as treasury bills . Assuming investors diversify away alpha risks, how an investor values any particular asset should depend crucially on how much the asset’s price is affected by the risk of the market as a whole. The market’s risk contribution is captured by a measure of relative volatility, beta, which indicates how much an asset’s price is expected to change when the overall market changes. Safe investments have a beta close to zero : economists call these assets risk free. Riskier investments, such as a share, should earn a premium over the risk-free rate. How much is calculated by the average premium for all assets of that type, multiplied by the particular asset’s beta. But does the CAPM work ? It all comes down to beta, which some economists have found of dubious use. They think the CAPM may be an elegant theory that is no good in practice. Yet it is probably the best and certainly the most widely used method for calculating the cost of capital.