eChapters

Robotics is transforming livestock production by automating repetitive, labour-intensive and precision-dependent operations. This chapter examines automated milking, robotic feeding, manure removal, health monitoring, drones and autonomous herd-management systems across dairy, poultry, swine and sheep production. Integration with AI, IoT and sensors creates connected environments capable of continuous monitoring and data-driven action. Benefits include higher productivity, lower labour requirements, timely animal care and more efficient resource use. Challenges include substantial investment, technical complexity, maintenance and farmer acceptance. Emerging developments such as autonomous farms, swarm robotics, solar-powered equipment and climate-smart robotic systems may further strengthen animal welfare, environmental sustainability and global food security.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Digital dairy farming integrates IoT, artificial intelligence, machine learning, big-data analytics, cloud computing, sensors and automation to improve herd management. This chapter explains how wearable devices and monitoring systems support early disease detection, welfare assessment, milk-yield analysis and precision feeding. Automated milking, feeding and other operations reduce manual labour, improve consistency and lower operating costs. The architecture of smart dairy systems—including sensors, wireless communication and decision algorithms—is examined alongside environmental and economic benefits. Barriers include high initial investment, limited digital skills, poor rural connectivity and cybersecurity risks. Future developments may include AI-enabled autonomous dairy farms and interconnected, sustainable agricultural ecosystems.

Animal behaviour provides valuable information about health, welfare, reproduction, environmental adaptation and social interaction. Traditional observation is labour-intensive, time-consuming and vulnerable to observer bias. This chapter explains how machine learning automates behavioural analysis using video, sensor and bioacoustic data. It covers preprocessing, feature extraction, classification, clustering and recurrent neural networks for temporal analysis. Computer-vision techniques—including object detection, tracking and pose estimation—enable continuous and non-invasive monitoring. Case studies demonstrate applications in livestock management, wildlife conservation and laboratory research. The chapter also examines data labelling, model generalization, ethics, explainable AI, real-time processing and the integration of multiple behavioural data sources

Precision feeding aims to supply animals with appropriate nutrients according to their changing physiological state, growth, production and environment. Conventional feeding plans are often static and may lead to waste, increased costs and environmental losses. This chapter introduces an AI-enabled framework integrating animal data, feed composition, growth characteristics and external factors. Regression, ensemble learning and other machine-learning models predict feed intake and weight gain, while linear programming and metaheuristic optimization generate efficient allocation plans. A decision-support system provides recommendations in real time. The approach can improve feed conversion, nutrient utilization, profitability and sustainability while reducing overfeeding, resource wastage and the environmental impact of livestock production.

Artificial intelligence can detect subtle changes in animal health before they become apparent through conventional observation. This chapter examines machine learning, deep learning and predictive analytics for livestock disease prediction and diagnosis. Models use physiological signals, diagnostic images, behaviour patterns, environmental conditions and historical records to recognize abnormalities and estimate disease risk. Wearable sensors and IoT devices enable continuous monitoring and early-warning systems, supporting preventive veterinary care and outbreak management. AI-based detection can reduce mortality, treatment costs and production losses while improving decision-making. The chapter also evaluates challenges involving inconsistent data, model interpretability, rural infrastructure, technical accessibility and the practical implementation of diagnostic systems.

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.

Cloud computing and Edge AI provide complementary infrastructure for intelligent livestock management. Cloud platforms offer scalable storage, centralized analytics, model training and integration of data from sensors, cameras, automated feeders and farm-information systems. Edge AI processes information close to the farm, reducing latency, bandwidth consumption and response time. This chapter explains their architectures, workflows and applications in dairy, poultry, swine and small-ruminant production. Uses include disease detection, estrus prediction, behavioural monitoring, feeding and environmental control. Hybrid cloud-edge systems balance centralized intelligence with local autonomy. Challenges involving connectivity, interoperability, cybersecurity, cost, model reliability and ethical animal surveillance are also critically examined.

Traditional livestock diagnosis is often reactive and may identify disease only after clinical symptoms become visible. This chapter introduces deep-learning methods for automated health monitoring, early disease detection and predictive analytics. Models analyse images, videos, body temperature, heart rate, activity patterns and historical health information. Convolutional neural networks extract visual features and classify diseases, while LSTM networks identify patterns in time-dependent physiological and behavioural data. Multimodal fusion improves the reliability of predictions by integrating different data sources. IoT-connected systems can generate real-time warnings and support timely intervention. The chapter compares deep learning with conventional approaches and evaluates accuracy, recall, false-negative rates and practical deployment.

Livestock farms generate large quantities of physiological, environmental, behavioural and production data through sensors, IoT devices and management records. Raw information must be processed before it can support dependable analysis. This chapter explains data cleaning, missing-value treatment, noise reduction, anomaly detection, integration, normalization, transformation and dimensionality reduction. It also discusses feature extraction, categorical encoding, variable transformation and temporal-feature analysis. Machine learning, AutoML, Python, R and other analytical platforms are introduced as tools for preparing livestock datasets. Applications include disease prediction, yield improvement and movement monitoring. The chapter concludes by examining scalability, data quality, privacy and ethical challenges in intelligent livestock analytics.

IoT networks and smart sensors enable continuous livestock monitoring, overcoming the delay and subjectivity associated with manual observation. This chapter reviews sensor types, communication systems, cloud and edge computing, and their applications in animal-health and behaviour tracking. It proposes a framework integrating multimodal sensors with IoT networks and machine-learning models such as CNNs and LSTMs. The system can detect abnormalities, predict health conditions and provide real-time decision support. Practical benefits include earlier intervention, improved welfare, reduced labour and more efficient production. The chapter also addresses implementation problems, costs, connectivity, data security, technical reliability and ethical considerations associated with constant digital monitoring of animals.

Reliable artificial intelligence depends on accurate, timely and multidimensional livestock data. This chapter examines the transition from manual record-keeping to sensor-based systems that capture physiological, behavioural, production and environmental information. Data sources include wearable devices, IoT monitoring networks, computer-vision systems and environmental sensors. Their applications include monitoring health, welfare, movement, feeding and productivity. The chapter also considers the integration of heterogeneous datasets and persistent challenges involving missing values, noise, interoperability, scalability and system reliability. By connecting data generation with intelligent analysis, it emphasizes that robust acquisition protocols and dependable infrastructure are essential for developing effective, evidence-based and responsive livestock-management systems.

AI-driven animal husbandry is advancing through machine learning, computer vision, IoT, big-data analytics, wearable devices and automated equipment. This chapter considers future applications for monitoring animal health, behaviour, nutrition, reproduction and environmental conditions. Predictive systems can support early disease detection, precision feeding, improved breeding and reduced production costs. However, high implementation costs, data privacy, inadequate infrastructure and limited digital knowledge remain significant obstacles, particularly in developing regions. Future research should prioritize affordable, user-friendly and explainable technologies suited to smallholders. Ethical AI, climate adaptation, multimodal data integration, omics analysis and interdisciplinary collaboration among animal scientists, engineers, policymakers and farmers are identified as essential research directions.

Climate change affects livestock through heat stress, water scarcity, unstable feed supplies, altered disease patterns and extreme weather. This chapter examines how artificial intelligence supports climate-smart and sustainable animal husbandry. Machine learning, predictive analytics and IoT-enabled monitoring can optimize feeding, detect disease, assess welfare and improve the use of water, energy and other resources. Intelligent technologies can also assist in reducing greenhouse-gas emissions and developing adaptive production strategies. The chapter evaluates the contribution of AI to productivity, climate resilience and environmental responsibility while addressing problems such as insufficient data, limited infrastructure, implementation costs and ethical concerns. Future integration with sustainable agricultural frameworks is also discussed.

AI-enabled livestock technologies can improve productivity, health monitoring, animal welfare and environmental performance, but they also raise significant ethical and governance concerns. This chapter examines data ownership, privacy, algorithmic bias, transparency, accountability, cybersecurity, socioeconomic inequality and animal well-being. Precision livestock systems continuously monitor animals through sensors, computer vision, machine learning and IoT networks, enabling preventive decisions and automated interventions. However, excessive dependence on algorithms may reduce human oversight and treat animals merely as data-producing units. The chapter advocates an interdisciplinary framework for responsible AI that aligns innovation with animal-welfare standards, farmer interests, social values, equitable access, regulatory requirements and long-term environmental sustainability.

Artificial intelligence offers practical solutions to agricultural problems associated with population growth, food demand, climate change and limited natural resources. This chapter introduces machine learning, deep learning, computer vision and natural language processing, together with enabling technologies such as IoT, remote sensing and cloud computing. It explains their applications in crop monitoring, disease recognition, yield forecasting, irrigation, soil assessment and livestock management. AI can improve decision-making, resource efficiency, automation and precision farming while reducing reliance on manual labour. The chapter also examines adoption barriers, including high costs, limited digital literacy, data-security concerns and weak rural infrastructure, and considers future developments in autonomous and climate-resilient farming.

This chapter examines the principles, preparation and application of vaccines and biological products. It compares live attenuated, inactivated, toxoid, subunit, recombinant, vector, DNA and mRNA vaccines. Vaccine development phases, immunogenicity, safety, efficacy and post-marketing surveillance are introduced. The chapter discusses adjuvants, including alum, Freund’s adjuvants, liposomes, ISCOMs and delivery systems. Important veterinary vaccines for brucellosis, foot-and-mouth disease, anthrax, Newcastle disease, infectious bronchitis, goat pox, sheep pox and peste des petits ruminants are covered. Questions also address bacterins, toxoids, attenuation, booster requirements and reversion to virulence, providing practical knowledge of immunoprophylaxis in animal-health management.

This chapter deals with the principles and applications of serological tests used to detect antigens and antibodies. It distinguishes primary, secondary and tertiary binding tests and explains antibody titre, affinity, avidity, sensitivity and specificity. Important techniques include precipitation, agglutination, complement fixation, neutralization, immunofluorescence, ELISA, radioimmunoassay, Western blotting and the radioallergosorbent test. The chapter also addresses serum decomplementation and the interpretation of positive and negative reactions. These methods are central to the laboratory diagnosis, surveillance and control of infectious diseases. The objective questions enable readers to compare diagnostic techniques and select appropriate tests according to their principles, applications and analytical performance.

This chapter introduces hybridoma technology and its application in producing monoclonal antibodies. It explains the fusion of antibody-producing B lymphocytes with immortal myeloma cells, selection in HAT medium and the roles of HGPRT and polyethylene glycol. The survival and cloning of hybrid cells and the advantages of monoclonal antibodies are considered. The chapter also discusses tissue and organ transplantation, including autografts, isografts, allografts and xenografts. The immunological mechanisms of acute graft rejection, donor histocompatibility antigens and the involvement of T lymphocytes are addressed. These questions connect laboratory antibody production with transplantation immunology and its diagnostic, therapeutic and research applications.

This chapter examines immune-system failure arising from reactions against self-antigens or inadequate immune responses. It introduces immunological tolerance, central and peripheral tolerance, clonal deletion and clonal anergy. Important autoimmune diseases—including myasthenia gravis, Graves’ disease, systemic lupus erythematosus, multiple sclerosis, rheumatoid arthritis and Sjögren’s syndrome—are considered. The chapter also discusses molecular mimicry and the production of autoantibodies. Primary, secondary and severe combined immunodeficiency disorders are differentiated, with examples such as Chédiak–Higashi syndrome. Immune-privileged sites and immunological paralysis are also covered. These topics explain the mechanisms that normally prevent self-reactivity and the consequences that arise when immune regulation becomes defective.

This chapter explores the four types of hypersensitivity reactions described under the Gell and Coombs classification. Type I immediate hypersensitivity, Type II cytotoxic reactions, Type III immune-complex disease and Type IV delayed hypersensitivity are examined in detail. The roles of IgE, mast cells, basophils, antibodies, complement and T lymphocytes are highlighted. Clinical examples include anaphylaxis, milk allergy, haemolytic disease, transfusion reactions, serum sickness, glomerulonephritis, farmer’s lung and the blue-eye condition associated with canine hepatitis. Diagnostic applications, including the tuberculin and Coombs tests, are also addressed. The chapter explains how exaggerated or inappropriate immune responses can damage tissues and produce disease.

This chapter examines cytokines as essential signalling molecules that regulate immune and inflammatory responses. It introduces interleukins, interferons, chemokines, tumour necrosis factors and colony-stimulating factors. Their sources, target cells and biological actions are considered in relation to immune-cell activation, differentiation, migration and communication. The chapter explains important properties such as pleiotropy, redundancy, synergy and antagonism. It also covers antiviral activity, chemotaxis, inflammation, fever and the regulation of humoral and cell-mediated immunity. Special attention is given to excessive cytokine production, cytokine storms and septic shock. These questions help readers understand how cytokines coordinate protective immunity and contribute to immune-mediated disease.

This chapter introduces the complement system as an important component of innate and adaptive immunity. It explains the classical, alternative and lectin pathways of complement activation and identifies the molecules involved in each pathway. The formation and functions of C3 convertase, C5 convertase and the membrane attack complex are discussed. Questions address complement-mediated cell lysis, inflammation, chemotaxis and opsonization. The roles of C3b, C3a, C4a, C5a, properdin, factor H and other regulatory proteins are also examined. By covering the activation and regulation of complement, the chapter explains how this system enhances antibody activity and helps eliminate invading microorganisms

This chapter explains how B-cell receptors, T-cell receptors and major histocompatibility complex molecules participate in antigen recognition. It differentiates MHC class I and class II pathways and describes the processing of endogenous and exogenous antigens. The roles of dendritic cells, macrophages and B lymphocytes as professional antigen-presenting cells are examined. Topics include MHC restriction, antigenic peptides, proteasomal degradation, ubiquitination and recognition by CD4-positive and CD8-positive T lymphocytes. The chapter also discusses superantigens, opsonization, phagocytosis, T-independent antigens and species-specific MHC systems such as BoLA and the avian B complex. These concepts explain the initiation of adaptive immune responses.

This chapter focuses on the structure, classes, properties and biological functions of immunoglobulins. It introduces the basic antibody molecule, including heavy and light chains, variable and constant regions, antigen-binding sites and Fc fragments. The characteristics of IgG, IgM, IgA, IgE and IgD are examined in relation to their distribution and immune functions. Questions cover primary and secondary immune responses, placental transfer, mucosal protection, allergic reactions, complement activation and agglutination. The chapter also addresses antibody affinity, avidity, isotypes, allotypes, idiotypes, class switching and Bence-Jones proteins. It provides essential knowledge of how antibodies recognize antigens and contribute to immune protection and diagnosis.

This chapter describes the cells, tissues and organs responsible for immune defence. It examines lymphocytes, macrophages, dendritic cells, neutrophils, mast cells, natural killer cells and plasma cells, emphasizing their respective functions. Primary and secondary lymphoid organs—including bone marrow, thymus, bursa of Fabricius, spleen, lymph nodes and mucosa-associated lymphoid tissue—are discussed. The chapter also covers lymphocyte maturation, antigen presentation, phagocytosis, immune-cell surface markers and the organization of lymph-node regions. Positive and negative selection of T lymphocytes and the formation of memory cells are included. Together, these topics explain how immune components develop, communicate and coordinate effective responses against infectious agents.

This chapter examines the major forms and mechanisms of immunity. It distinguishes innate immunity from adaptive immunity and explains specificity, diversity, immunological memory and self–non-self recognition. Natural and artificial forms of active and passive immunity are discussed through examples involving infection, vaccination, maternal antibodies and antiserum administration. The chapter introduces pattern-recognition receptors, pathogen-associated molecular patterns and Toll-like receptors involved in microbial recognition. It also covers inflammation, its cardinal signs, acute-phase proteins and the roles of neutrophils and other innate defence components. These objective questions provide a clear foundation for understanding how animals resist infections and develop long-lasting protective immune responses.

This chapter introduces the historical development and fundamental concepts of immunology. It highlights the contributions of Edward Jenner, Louis Pasteur, Elie Metchnikoff, Paul Ehrlich, Emil von Behring and other pioneering scientists. Important discoveries related to vaccination, phagocytosis, antibody formation, cellular immunity, ELISA, radioimmunoassay and hybridoma technology are addressed. The chapter also explains antigens, immunogens, epitopes, haptens, adjuvants and the desirable characteristics of an effective immunogen. Questions concerning smallpox and rinderpest eradication, vaccine development and primary and secondary immune responses help readers understand the scientific milestones that established immunology as an essential discipline within veterinary and biomedical sciences.

The phases of green revolution and post green revolution of Indian agriculture have assured us of security. We are now producing 354 million tons of food grains and our target is to produce 550 million tons before 2050. This is really an incredible progress for any country dominating with rural and agrarian economy. As on date, the contribution of Indian agriculture to national GDP is 14.7 % but it has to support around 60% of population. While food security has been ensured for 1480 million of population, the issues of malnutrition are standing paramount. It sounds melancholic that India is also sustaining world’s highest count of hungry population close to 51% newborn babies are underweight, 60% of rural women are anaemic, millions are deprived of dedicated safe drinking water. According to FAO, between 702 and 828 million people in the world faced hunger in 2021. Health, hygiene and nutrition are organically linked to each other, in terms of calorie intake of rural women. We are still far below of international standard. Alongside, the hemoglobin level runs below the expected level to indicate that women are runningin a moderate to acute anaemic condition. Around 840 million people are malnourished from insufficient calories. According to Black et al., (2008) nutrition related factors were found to be jointly responsible for around 35% of the child fatalities and 11% of the overall global illness burden in an analysis that took into account co-exposure. Due to poor quality of drinking water, whatever available, the propagation of water born diseases has been endemic and robust. The geo-spatial distribution of hunger and malnutrition indicates that there is location to location variation, gender discrimination, and seasonal variability across the terrain of social-cultural distribution. To make India stronger and swashbuckling we need to refocus on women health, child care and removal of economic discrimination. With acute hunger, mapping, problem of chronic hunger as well, chronic hunger hasbeen reflected through seasonal sickness, broken health and psycho-somatic downfall. Sometimes, poverty has not been the only factor for malnutrition. The other factors for malnutrition can be our wrong belief system, superstition, wrong food habit, and unscientific cooking process. With this background the objectives of the studyhave been spelt out.

The livestock sector, particularly the dairy sector, plays a vital role in India’s economy and contributes significantly to the country’s milk production. The continuous growth and development of this sector have led to India becoming the world’s largest milk producer. It has seen significant growth, with a Compound Annual Growth Rate (CAGR) of 13.36% from 2014-15 to 2021-22. This sector’s contribution to the total Gross Value Added GVa in agriculture and allied sectors has risen from 24.38% in 2014-15 to 30.19% in 2021-22, accounting for 5.73% of the total GVA in 2021-22. The country’s livestock population, as per the 20th Livestock Census, includes approximately 303.76 million bovines (cattle, buffalo, mithun, and yak), 74.26 million sheep, 148.88 million goats, 9.06 million pigs, and about 851.81 million poultry. The dairy sector stands as the single largest agricultural commodity, contributing 5% to the national economy and directly employing more than 8 crore farmers.

An animal, which has more or less of comparable (similar) physiology and body composition with various biological system as human beings, which are tiny, easy to handle, less expensive and co-operative are called as “Laboratory Animals”. Importance of Laboratory Animal in Bio-Medical Research Laboratory animals are used in basic biological research, disease diagnosis, immunology, virology, applied medicine and demonstration/teaching. Materials collected from diseased animals need confirmation through microbiological and pathological means of diagnosis. Rats, Beagle dogs and primates are engaged in toxicological research. These are used to study the functions of organs, response of a particular organ or the whole system to drug and the method of evolving surgical techniques and demonstration of experimental surgery need experiment animals. Hamster have cheek pouches which may extend to halfway down the length of the body, are used to temporarily store food and, when full, should not be mistaken for a tumor. An entire shelled peanut

The review provides an explanation of the Indian poultry market’s trend in management. Everything you need to know about diseases, their attacks, processing, production, feeding, and market trends is included in this review. For farmers, raising poultry is a vital source of revenue that allows them to meet their basic necessities. Because of the high consumption rate and current population growth, there is a sharp increase in demand for chicken meat. Meat consumption is required to provide additional nutritious intake. Generally speaking, the poultry sector plays a critical role in creating micro and macrobusiness opportunities and enhancing human nutrition. The Indian economy is dominated by small-scale commercial ventures for women and the delivery of manure for agricultural purposes. Animal health is ensured by the supply of high-quality feed, which maintains nutritional values. The weight and age of the chickens, their rate of development, the quantity of eggs they produce, the climate (cold or rainy weather increases energy consumption), and the amount of nutrition they acquire from foraging all affect how much feed and how much nutrition it contains. This review article includes general information about poultry

This chapters covers wide range of topics like taxonomy of wild animals, difference criteria among the species identification, feeding and nutritional requirements of wild and captive zoo animals, housing standards in zoo, habitats and behavioral changes and its management, environmental impact on captive animals, acts and zoo regulations governing wild and captive animals, handling and restraining of wild/captive animals, Purpose of restraining,  techniques of immobilization and complications associated with the immobilization. Various national and international organizations working

Camel Nomenclature Family: Camelidae Order: artiodactyla (even –toed ungulates) Suborder: Tylopoda (Pad on foot) The family Camelidae includes two genera: Camelus and Lama The genus Camelus consists of two species namely. Camelus dromedarius (unicorn or dromedary) with habitat in dry, hot, arid areas of Africa, Asia and Australia and Camelus bactrianus Double-humped or Bactrian) habitat in cold, dry areas of the central Palearctic Ecozone. These two species are commonly called Old World camels. The Species belonging to the genus Lama are Lama vicugna  Vicunaand Lama guanaco guanaco, Lama glama (llamaand Lama pacos alpaca . These four Species are called New World camels and have their habitat in South America Camels are considered a “ship of the desert” as a means of transport and Towing ability in the desert. The camel also played an important role in civil law and order, defense and battles from antiquity to the presen

Man have used different animals like cattle, buffaloes, horses, donkeys, mules, yak, camel and elephants for different kinds of work. Draft animals evolved during course of time have advantages of stability, sustainability and environmental friendliness. Different animals have different draught capacities for performing different types of work. The approximate power developed by various animals in terms of horse power are- Horse-1.0: Bullock-0.74: Buffalo-0.75: Cow-0.45: Maule-0.75: Donkey- 0.35. Draught developed by the animal is generally proportional to its body weight. Draught ability: Work is done when force is exerted to move an object over a distance. Work in the strict sense of “Force exerted x distance through which the force is moved”. Work performed by animals can be measured by quantifying their capacity to generate power. Draught Power (W) = Draught (N) x Speed (m/s) Management of different working animals 1. Cattle and Buffalo Bullocks: they are used for various operations like ploughing, harrowing, threshing, harvesting, for lifting water and for transporting people and agricultural produce.  The average speed of a pair of bullocks pulling a cart is around 4-5 km per hour. If not overdriven, they can travel 25-30 km or even 40 km in favorable condition. Atmospheric 

India enjoys one of the largest livestock wealth in the world India has continued to experience an increasing growth in its livestock sector. Between 2010-11 and 2019-20, gross valueadded (GVa) from livestock sector grew at an extraordinary rate of 7.6% annually. Among the livestock species, pig finds an important place as it being reared by socio-economically weaker sections of the rural India) Pig as compared to other livestock species has a great potential to contribute to faster economic return, because of certain important inherent traits like high fecundity, better-feed conversion efficiency, early maturity and short generation interval. Pig farming requires small investment on its housing and equipment. It has immense potential to ensure nutritional and economic security for the weaker sections of the society.The pig grows fast and is a prolific breeder, farrowing 10-12 piglets at a time. It is capable of producing two litters per year under good management conditions. The carcase yield is high (65 -80% of live weight). Pigs convert inedible feeds, forages, and certain grain by products into valuable nutrition’s mean. The faeces of pigs are useful in maintaining soil fertility. Pig population According to the 20 th Livestock census of India pigs comprises 1.7 % to the total livestock population (http://dahd.nic.in). The total Pigs in the country are 9.06 million in the current Census, declined by 12.03% over the previous Census. Out of the total pigs 20.98% are either exotic or crossbred

There are many migratory, semi-migratory and sedentary shepherd communities in India with sheep rearing along with goats as the main livelihood)Besides scores of land less wages-earning families keep small numbers of goats for crucial supplementary income. Sheep and goat farming, due to its quicker and better returns on investment provides an additional source of income to farmers who normally depend on crops for their livelihood) Thus these animals fit in ideally in a mixed farming system. In India, goats and sheep are mostly maintained under extensive system which includes migratory, transhumance, free range, grazing community pastures, stubbles of cropped lands supplemented with crop residues and tree-lopping. Although a number of management systems are in practices varying from region to region these may be conveniently divided in to extensive, Semiintensive and Intensive systems.

It appears that cattle were domesticated prior to 4000b)c)From 1961 to 2021, the amount of milk produced worldwide has almost tripled, reaching 918 million tonnes. Production of milk is carried out by about 150 million households worldwide. Smallholders produce the majority of the milk in developing nations, and milk production supports nutrition, food security, and household livelihoods. For small-scale farmers, milk offers comparatively quick returns and is a significant source of revenue. Small-scale farmers using native or local cattle breeds produce the majority of the milk in developing nations; however, to meet the growing demand for milk and milk products in peri-urban areas, more improved or cross-bred cattle are being used) India is an agricultural country that contributes significantly to the economy. Animal husbandry is an adjunct to agriculture and has vital livestock resources, with cattle and buffalo playing an important role in improving the socio-economic status through contributions to milk, meat, hides, and draft power for agricultural operations. India is one of the world’s top milk producers contributing 24 percent of global milk production and having a large number of indigenous

The term “Economics” is derived from the Greek words ‘OIKOS’ and ‘NOMAS’ or ‘NEMEIN’. ‘Oikos’ means house hold and ‘Nomas’ or ‘Nemein’ means management. So, in its original sense-economics means house hold management; i.e. satisfying as many wants of the house hold or family as possible by allocating the limited resources at the disposal of the family wisely among different wants. In the modern and practical sense Economics means management of day-to-day problems arising from unlimited wants and limited resources by wisely allocating limited resources to satisfy maximum wants. Divisions or approach of Economics There are two approaches a) Traditional approach and Modern approach. Traditional approach is divided into six main divisions, viz., (i) Production, (ii) Distribution, (iii) Exchange, (iv) Consumption, (v) public finance and (vi) economic planning. Modern approach studied under (i) Income Theory or Macro Economics; and (ii) Price Theory or Micro Economics, deals with the study

Livestock plays a vital role in any country’s economy as animals are a source of livelihood for people, providing milk, meat, and fur, and are used for agricultural work. Hence, the loss of animals due to disease or any other reason results in loss of wealth, livelihood, and nutrition. In view of this, management of mortality on farms is of utmost importance. There are different ways to manage and dispose of dead animals. The acceptable methods to manage mortality include composting, rendering, incineration, landfills, burial, and disposal pits. Composting is one of the options for managing mortality on farms. Composting is the decomposing of carcasses by natural processes, viz the use of bacteria, fungi, and other microorganisms to convert organic matter into a stable product called compost. Composting involves the degradation of the carcass by anaerobic bacteria to convert it into liquid material with odor and gases such as hydrogen sulfide and ammonia)The anaerobic process produces heat that kills many viruses and bacteria and allows the growth of only heat-tolerant bacteria)The temperature continues to rise and peaks between 130 to 160 0F. Composting requires a source of energy

Food is defined as any substance, whether processed, semi processed or raw, that is intended for human consumption as well as the inedible parts associated with food that are not intended to be consumed by humans. Food waste is defined as any food and inedible parts of food, removed from the food supply chain that can be recovered or disposed, whereas, food loss is defined as food that unintentionally undergoes deterioration in quality or quantity as a result of food spills, spoils, bruising, wilting or other damages alike owing to infrastructure limitations at the production, storage, processing and distribution stages of food lifecycle. Global food waste management is an issue of concern that requires attention from various stakeholders having diverse expertise. According to statistics, about one third of the food produced for human consumption is either lost or wasted. Globally, the cost of food waste accounts for USD 2.6 trillion, of that USD 1trillion is incurred from greenhouse gas (GHG) emissions, water scarcity, biodiversity loss, increased conflicts and loss of livelihood owing to issues like soil erosion, nutrient loss, reduced yields, wind erosion and pesticide exposure.

Manure can be a) solid manure, feed waste, soiled bedding, etc. and b) liquid – urine and detergent Water. Ideally, solid manure is usually collected and removed twice daily. India has about 535.78 million livestock and the amount of production of animal waste amounts to about 3 million tons per year. Together farm-level livestock waste includes manure, urine, placenta, bedding,Feed waste, milk house waste etc. These animal wastes are the biggest source of harmful gases, harmful pathogens and odors and therefore public health and environmental concerns. Livestock waste contains many useful substances components that, if recycled effectively, can be used as fertilizer for crops, food for animals. Economic savings are the biggest benefit of waste management achieved through improvements in human health and the environment, leading to higher productivity, lower medical costs, etc ultimate increase in farmers’ income. The animal waste is a major source of harmful gases, harmful pathogens, etc Odor;

Livestock transportation is a process of carrying animal from one place to another by different means of transportation. It is a stressful, threating and not familiar event of domestic animals. Livestock is transported for many reasons like marketing, slaughter, changing of owner, re-stocking and desirable grazing area)Animals who are transported for slaughter are stressful due to various component like loading, unloading, restraining, unfavorable weather condition, thrist, hunger. During transportation there are many rules and regulation by different countries which should be strictly implemented) Cattle and other animal species should be transported with partition. Birds and lab animals are transported in cages or any airy cartridge or basket. During transportation food and water should be withheld for 24 hours. if the transportation is more than 24 hours animal should be watered and fed in transit.

Introduction Colostrum feeding • Colostrum is rich source of gamma globulins (antibodies), vitamins and minerals • Colostrum Temp.: 99ºF-102ºF • Colostrum feeding: first 3-5 days. • Whole milk: after 5 days • Feed the total amount of milk at 3 or 4 equal intervals up to the age of 7 days and then twice daily • Quantity of colostrum: 10 % of body weight. • Overfeeding: calf scour/diarrhea. • Around 0.5% of a cow’s yearly milk production is made up of colostrum. • After birth, the amount of immunoglobulins that can be absorbed from colostrum drops by 1/3 as soon as 6 hours, by 2/3 after 12 hours, and an intestinal barrier forms after 24 hours. • Colostrum must be given in sufficient amounts to the newborn calf because during the first 24 hours after parturition, the permeability of the stomach and the concentration of immunoglobulins drop sharply. • Cow colostrum must meet minimum requirements for both immunological and bacteriological characteristics:

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