eChapters

A Literature Review is a systematic and comprehensive analysis of books, articles and research papers to a specific topic providing a base of knowledge on the topic. Literature reviews are designed to identify and critique the existing literature on a topic to justify your research by exposing gaps in current research. This investigation should provide a description, summary, and critical evaluation of works related to the research problem and should also add to the overall knowledge of the topic as well as demonstrating how your research will fit within a larger field of study. A literature review should offer critical analysis of the current research on a topic and that analysis should direct your research objective. This should not be confused with a book review or an annotated bibliography both research tools but very different in purpose and scope. Key to a good Literature Review is to document your process.

Introduction

The sex of the animal is one of the most easily observable attributes of a livestock population. The importance of the sex ratio lies in the fact that it sets the future rates of fertility, mortality, and migration. In livestock, male animals are required in fewer numbers compared to females for breeding. So, for profitable management of a farm, the sex ratio has been fixed for each species. But because of the natural 50:50 chance of both types of sperms to fertilize an ovum, this preferred sex ratio is never achieved. In order to reach this economical ratio, additional efforts must be done in the form of culling. Moreover, in monotocous species with nearly one year gestation period, a long wait is sometimes required for getting the offspring of particular sex.

In dairy farming, the number of female offspring born is always an asset to the farm. For the species reared for meat, the males are often avoided due to the intense odor of their meat and handling difficulty while rearing. But when there is shortage of good quality breeding bulls, the sorted sperms will be helpful for producing the elite bulls for breeding. If we can produce only the animal of the desired gender, we can eliminate split-sex feeding, reduce problems related to animal welfare and castration, improve production efficiencies. Additionally, the costs of the progeny testing programme and embryo transfer are reduced as a result, and the value of genetic markers is increased. Apart from the livestock species, sex pre-selection is also important in breeding of companion animals, zoo animals and endangered species.

Livestock breeding for genetic improvement faces many challenges including feed conversion efficiency, fertility and adaptation to changing climate. These improvements have to be realized while maintaining or improving the nutritional properties of meat, milk and other animal products while giving emphasis to animal health and wellbeing also. Environmental stresses induced by climate change affect livestock productivity, reproductive efficiency and health, resulting in severe economic losses. Under the current climate change scenario, the viability of producing animals for human consumption is in jeopardy. In order to lessen the negative effects of heat stress in today’s world, it is urgently necessary to develop methods that are centered on breeding animals with increased thermal tolerance and climate resilience. The breeding of animals having genetic potential to sustain under changing environment conditions can be achieved through the various molecular genetics tools.

Biostatistics is a branch of statistics that focuses on the analysis and interpretation of data from biological and health-related research studies. It involves the application of statistical methods to design, collect, analyze, and interpret data from studies involving living organisms like: animals, birds including human beings. Biostatistics plays a crucial role in public health, medicine, epidemiology, genetics, and other related fields.

With the increasing availability of data and advancements in biostatistics, breeders can expect further improvements in breeding practices that will results in better outcomes for both livestock farmers and the animals they breed. Animal breeding is a crucial aspect of agriculture and food production, as it helps to improve the quality and quantity of animal products as well ensuring food security to the masses.

Nomenclature should not be confused with terminology which deals with terms, like antenna, abdomen, radius etc. Names of animal and plants may be either vernacular or scientific.

Vernacular names or local names of plants and animals are different from region to region, from language to language.

Scientific names or Latin or International names are used universally all over the world. Without them we would not be able to communicate and to use the knowledge accumulated about animals and plants in literature. These international names are under certain rules or nomenclature.

Nomenclature

No-men-cla-ture means a system of names. It is derived from Latin Nomen means name and calor means to call, which means to call by names. Nomenclature is the “language of Zoology” and the rules of nomenclature are its grammar. Since all zoologists work with animals and used their names, it is essential that the general principles of zoological nomenclature be familiar to all zoologists.

Introduction

In recent years, there has been an exponential increase in the volume of datasets generated across various application domains. However, a prevalent issue within these datasets is class imbalance, wherein the distribution of samples is biased towards the major class, resulting in an extremely skewed dataset. Number of samples in the major class far exceeds those in the minor class, sometimes with an extreme ratio like 1/1000 or even higher. While traditional machine learning models trained on such imbalanced datasets often yield high accuracy for the overall dataset and the major class samples, their ability to correctly predict class labels for minor class samples is signicantly compromised. In many real-world scenarios, the minor class samples hold greater signicance and importance compared to the major class samples. Therefore, researchers are increasingly focusing on addressing the challenges posed by class imbalanced datasets and exploring solutions to improve the performance of machine learning models in handling such imbalances

Introduction

Artificial intelligence is an effective technology that makes it possible for computers and other devices to simulate human intellectual abilities and ability to solve problems. Comprehensive study on artificial intelligence may be traced back to Alan Turing’s development of the renowned Turing Test in the 1950s, which examined whether machines are capable of thinking. (Turing, 1950), and John McCarthy came up with the phrase “artificial intelligence” in 1955 when he organised the 1956 Dartmouth Summer AI Research Project. They suggest that “making a machine behave in ways that would be called smart if a human were doing so” is an issue with AI (McCarthy et al., 1955). Compared to humans, artificial intelligence can analyse data, both organised and unstructured, substantially faster and more accurately.

Human life on the earth has been intertwined with the fabric of crops and livestock for its sustenance, since time immemorial, for food and protection against the vagaries of nature. When agricultural and livestock production systems began to change in the 1950s, from traditional extensive systems to semi-intensive and intensive production systems, diseases of rural farm enterprises became challenging. Especially, the emerging diseases in livestock continued to demand more and more investments for ensuring food safety and security. Despite significant progress made in the recent past in reducing the prevalence of animal diseases, there is still an increasing concern over the losses associated with diseases of economic importance that result in production inefficiency. The scientific foundation for the discipline of animal health economics was laid by Morris (1969) and further steps were taken by Ellis (1972) to economically evaluate the Swine Fever eradication programme in Great Britain using cost-benefit analysis, Martin Hugh-Jones (1975) to specialize in GIS to model diseases and assessed the economic impact on production by infectious diseases, James and Ellis (1978) to use the same tool for FMD control programme, Renkema and Stelwagen (1979) to evaluate the replacement rates in dairy herds, Renkema (1980) to analyze the economic aspects of diseases in animals, Ellis and Putt (1981) to suggest the epidemiological and economic implications of FMD vaccination programme in Kenya, and McInerney (1983) to analyze the economics of animal diseases in dairy cattle, the multidisciplinary field of animal health economics was not amply exploited especially in developing countries to assess the extent of livestock disease losses (Ngategize and Kaneene, 1985).

There are three types of disease occurrence namely, endemic, epidemic and outbreaks. Martin et al. (1993) described the term endemic as the disease occurrence in a predictable pattern. There can be low, moderate or high levels of endemicity. Although many times the terms epidemic and outbreak are used synonymously, the term epidemic is used when there is an unexpected incidence of a disease. Thrusfield (1995) defined an outbreak as the occurrence of a disease involving one or more animals.

Animal disease prevention and control activities offer valuable benefits for food production, food security and safety, animal and human welfare, and alleviation of poverty. The effectiveness of disease prevention and control policies depends on the good governance and quality of the veterinary services, in compliance with OIE standards and guidelines on animal disease control. The apex body in each country is the core system that takes care of the prevention and control of animal diseases. This body is responsible for early detection of diseases and rapid response to outbreaks. The veterinary services in developing countries require adequate human and financial resources and capacity building to carry out the tasks of disease prevention and control and to protect animal health and thus public health, including food security and food safety.

AMR is undoubtedly the most serious challenge ever faced by the world health community because of its multifaceted complex nature and its overwhelming impact over the human and veterinary communities. Livestock sector is no exception to have the serious and devastating impact from the emergence and spread of AMR. Because of a steady shift towards intensive farming and increased stocking density there has been increase occurrence of infectious diseases. Growing world population, rapid urbanization, and deforestation, shrinkage of grazing land all aided to this process. This leads to increased usage of antimicrobials in food animals – cause of concern for the scientific community as AMU is known the single most important driver of AMR.

Cytauxzoonosis is an emerging tick-borne disease of domestic cats and wild felids caused by the protozoa of the genus Cytauxzoon. The common clinical findings in affected cats are similar to other hemoparasitic infections namely anorexia, depression, anemia, vomiting, icterus, and high fever. The first reporting of feline cytauxzoonosis with four fatal cases was done by Wagner in Missouri, USA in the year 1976.

Bobcats (Lynx rufus) are recognized as the natural wild reservoir of Cytauxzoon felis with prevalence reaching up to 100% in some enzootic areas (Zieman et al., 2017). This infection is highly fatal in domestic cats with 97% mortality without treatment (Meinkoth and Kocan, 2005). However, subclinical infection in some cats has also been evidenced i.e., they were infected with C? felis but did not display the acute clinical signs of the disease before diagnosis (Brown et al., 2010 and Rizzi et al., 2015).

Several other wild felids apart from bobcats and domestic cats have been found to be affected by fatal or nonfatal Cytauxzoon sp. infection. These include lions, jaguar, cougars, pumas, ocelots, Iberian lynx, meerkats, European wild cats and Asiatic wild cat, panthers, and tigers (Jakob and Wesemeier, 1996; Rotstein et al., 1999; Yabsley et al., 2006; Andre et al., 2009; Filoni et al., 2012 and Furtado et al., 2017).

Renal failure is one of the most commonly presented conditions in veterinary clinics world over. Although the potential for recovery is favorable, most animals die due to multisystemic effects induced by azotemia. Hence, extracorporeal removal of endogenous and exogenous toxins is very essential for expanding the window of recovery. Hemodialysis has been used in treatment of veterinary patients for the last 50 years and is still one of the most expensive and technically demanding treatment modalities in veterinary medicine. It is an advanced extracorporeal renal replacement therapy which has recently transitioned from a clinical curiosity to a more advanced standard for management of acute kidney injury (AKI) and chronic kidney disease (CKD) in companion animals particularly dogs and cats.

In addition to eliminating selective toxins that cause AKI, regardless of renal function, hemodialysis is also effective in the removal of pharmacokinetically active soluble uremic substances in CKD to enhance life expectancy and quality of life (Singh, 2021). Other common indications of hemodialysis in veterinary medicine include fluid overload, dysregulated body fluid composition, drug overdose or intoxications (Foster, 2020; Singh et al?, 2024). Medical management alone is often insufficient to control the clinical signs and metabolic abnormalities associated with uremia when AKI is severe or when there is involvement of acute on chronic kidney disease. Consequently, animals are at risk of death within a short therapeutic window, despite the potential reversibility of AKI and the improvement of life expectancy in CKD.

Introduction

As India is the leading global economy with livestock contributing 4.66% in total GVA to Indian Economy (PIB, 2024) and ranks 1st in Milk Production, 2nd in Egg production, 5th in meat production (BAHS, 2024). Being the largest exporter of milk and meat in the world , this has led to the intensification of animal production due to the increasing demand of major livestock products (MLPs), which has led to an increasing overall use of antimicrobials. Antimicrobials are invariably used to preserve animal and public health, but also as growth promoters at a sub-therapeutic level. The overuse and misuse of antibiotics can contribute to antimicrobial resistance. The growing resistance to antimicrobial drugs could reverse the therapeutic benefits; animals’ resistance to antimicrobial drugs, reduces productivity and leads to economic losses. Unwanted antimicrobials residues may be present in products of animal origins, in animal waste contaminating soil and water and the environment. Seventy-five to ninety percent of antimicrobials used in livestock are excreted, mostly unmetabolized. AMR poses a serious threat to the safety and quality of animal origin food, food security and livelihoods. Unhealthy and unproductive animals are no longer able to generate food products of acceptable safety and quality for human consumption and can no longer contribute to income generation. Insufficient standards for residues in animal food products, reduces the livestock sectors potential of access to trade and increases public health risks (https://www.fao.org/antimicrobial-resistance/key-sectors/animal-production/ en/).

1. Introduction

India’s horticulture sector stands as a beacon of promise and potential within the agricultural landscape, showcasing a rich diversity of fruits, vegetables, tubers, spices, flowers, medicinal and ornamental plants as well as herbs. This sector provides livelihoods for millions of farmers and plays a crucial role in ensuring food security and nutritional well-being. Amidst the challenges posed by climate change and environmental degradation, the resilience of horticultural crops becomes increasingly significant. Diversifying towards resilient crops and sustainable practices not only mitigates risks but also enhances the sector’s adaptability to changing climatic conditions. Investment in research and development to breed climate-resilient varieties and promote agroecological approaches is imperative. Furthermore, promoting organic and niche horticulture products presents exciting opportunities for Indian farmers to capture premium markets both domestically and internationally. With growing consumer awareness and demand for healthy and nutritionally rich food, India’s horticulture sector is well-positioned to become a global leader in organic and exotic produce.The recent trend of exploring new crops within Indian horticulture promises to diversify farmers’ income sources and address emerging challenges such as climate change and shifting consumer preferences.

Introduction

Agriculture has been the cornerstone of human civilisation for millennia, providing sustenance and livelihoods to communities around the world. As the global population continues to grow, reaching an estimated 9.7 billion by 2050, the need to ensure food security becomes increasingly urgent. However, this burgeoning demand for food coincides with numerous challenges such as climate change, dwindling natural resources, and the pressures of sustainable farming practices. To address these complex issues and meet the world's food requirements sustainably, modern agriculture must embrace innovative technologies. One such game-changing technology that has emerged in recent years is Artificial Intelligence (AI), which is revolutionising various industries, including crop production. AI is the simulation of human intelligence processes by machines, particularly computer systems. It encompasses a range of capabilities, including learning, reasoning, problem-solving, perception, and language understanding. When applied to agriculture, AI holds immense promise to transform how we grow crops, optimise resource utilisation, and enhance overall productivity (Fan et al., 2012). By leveraging AI's power, farmers can make data-driven decisions, improve efficiency, and implement precision farming techniques tailored to specific field conditions. By employing AI technologies, it is possible to mitigate the impact on natural ecosystems and enhance worker safety. This, in turn, can contribute to keeping food prices down and ensuring that food production remains in step with the growing global population (Ranjan et al., 2023).

Introduction

Crop modeling in agriculture involves utilising quantitative data on eco physiological processes to forecast plant growth and development, leveraging environmental conditions and management inputs. These models simulate how crops respond whether in terms of growth, yield, or other factors to a dynamic interplay of elements like management practices, water, weather, and soil parameters throughout a growing season. They serve as computational tools emulating the intricate growth patterns of crops by mathematically representing various facets within the cropping system (Nath et al., 2023). The roots of crop modeling trace back to the 1960s, when researchers began integrating physical and biological principles to model agricultural systems. These models heavily rely on measurable inputs, obtained via sensors, machinery, or manual measurements, to predict desired outputs such as plant growth, crop yield, soil nitrogen levels, or crop staging.

Crop Modeling

Crop modeling involves the creation of mathematical or computational models that represent the growth, development, and yield of crops. These models are based on scientific principles and empirical data, aiming to simulate and predict various aspects of crop behaviour under specific conditions. The primary purpose of crop modeling is to provide a theoretical framework for understanding and predicting crop responses to environmental factors, management practices, and genetic variations.

Introduction

Millet is a small grain cereal grass bearing coarse seeds, and since ancient times has been considered a valuable and nutritious grain. It includes jowar, bajra, ragi and small millets. Small millets include Barnyard millet, proso millet, kodo millet, little millet and foxtail millet. It is rich in fiber, protein, iron, calcium, magnesium, zinc, vitamin B, has a low glycemic index and has antioxidant, anti-inflammatory and anti-allergic properties (Ranjan et al., 2023). These have been added to the modern lifestyle as healthy foods because they are beneficial for human health due to the presence of nutritional ingredients. The nutritional quality of food is the most important parameter for maintaining human health and comprehensive physical health. Good nutrition is the driving force for growth and maximisation of human genetic potential (Radhila et al, 2011). Food quality in the diet must be considered to maintain optimal human health and fitness to address the deep-seated problem of malnutrition. Diversification of food production at both the national and household levels should be encouraged, in addition to increasing domestic productivity and technology (Singh and Raghuvanshi, 2016). Some agricultural foods are not used by humans as staple foods due to human ignorance. Millet is one of them. Millet is used as food for animals and birds. Millet has many nutritional and medical functions (Yang et al, 2012).

Introduction

Plant Parasitic Nematodes (PPN) belonging to the kingdom Animalia are considered the most serious threat to agriculture and horticulture crops worldwide. The estimated yield loss on average is about 173 billion USD (12.3%), among which developing countries are more prone to nematode infestation (14.46%) than developed countries (8.8%). Nevertheless, these PPN aggravate the loss by forming disease complexes with other soil-borne pathogens (Jones et al., 2013). PPN gain entry onto the host roots through their secretome which secretes various kinds of proteins that are mandatory for the expression of disease symptoms in host plants. These proteins are generally called Nematode-Associated Molecular Patterns (NAMPs). The management of nematodes through synthetic nematicides paves the way for the production of commodities with toxic residues that may have severe ill effects after consumption. However, the use of resistant plants is another strategy to combat major PPN and suppress their population in soil and roots. Recent research progress has revealed the various defence mechanisms exhibited by plants against the invasion of PPN. Here we will discuss in brief about the various mechanisms followed by the host plants to recognise the invading PPNs and the resulting host immune response in response to recognition of various effector proteins of PPN.

Introduction

Agrochemicals are categorised based on the specific target organisms they are intended to control, including insects, weeds, and fungi. Among these target organisms, weeds significantly contribute to the highest economic losses due to their interference in crop production. Herbicides, the predominant class of agrochemicals globally, account for 48% of the total expenditure. The largest consumers of agrochemicals are Europe, Asia, and the United States. Herbicides have various biological and chemical properties (Roy et al., 2023a). They exhibit variations in behaviour and spectrum weed control. These properties play an important role in herbicide selection, method of utilisation and application, post-application effects such as toxicity and residue accumulation in the soil. The crucial factor for any herbicide application is the behaviour of the herbicide in the soil and its transformation or modification once it reaches the soil (Miller and Westra, 1914). The fate of herbicides and their efficiency are regulated by herbicide properties, soil characteristics and climatic conditions.

Introduction

Agriculture faces a massive challenge: by 2050, it needs to sustainably feed over 9 billion people while supporting economic growth and protecting the environment. Meeting this demand requires a staggering 70% increase in food production from 2006 levels, mainly by making the most of existing farmland and resources.

Precision agriculture offers a promising way forward. It's about smartly managing soil and crops using technology and information to boost profits while being eco-friendly. This approach involves giving the precise amount of resources—like water, nutrients, and pesticides—at the right time and place to optimise farming. It's all about understanding and using the differences within f ields to improve crop growth and protect the environment. Traditionally, understanding these differences involved collecting tons of soil and plant samples for lab analysis. But this can be costly. So, finding better, more efficient ways to assess these differences in soil and plant growth is crucial.

Precision agriculture relies on high-tech tools like GPS, GIS, yield monitors, and remote sensing to measure differences in soil and crop growth across f ields. By integrating these technologies with tools that adjust resource usage based on these differences (called variable rate technologies), farmers can apply fertilisers and water precisely where they're needed, optimising crop yields (Ranjan et al., 2022a). This method has three main parts: collecting data, understanding that data, and then making smart decisions based on it, all tailored to specific areas and timings. New technologies like yield monitors, satellites, and handheld sensors have made data collection faster and easier. But the real challenge is making sense of all this information and using it effectively for better farming. This review delves into how these technologies can enhance agricultural production and the hurdles they bring.

12.1. Introduction

Artificial Neural Networks (ANNs) are computational models inspired by the way biological neural networks in the human brain process information. They consist of interconnected nodes or “neurons” arranged in layers: an input layer, one or more hidden layers, and an output layer. Each neuron in the network processes data and passes the results to the next layer. ANNs are designed to recognize patterns, learn from data, and make predictions or classifications based on that learning.

In an ANN, the connections between neurons are weighted, meaning each connection has a strength or value that determines the influence of one neuron on another. Through a process called training, the network adjusts these weights to minimize errors in its predictions. This is typically done using techniques like backpropagation, where the error is propagated backward through the network to update the weights (Abiodunet al., 2018).

ANNs are highly versatile and have been applied across various domains, including image and speech recognition, natural language processing, and decision-making systems. Their ability to model complex relationships in large datasets makes them a crucial component in the field of machine learning and artificial intelligence (Ahmed et al., 2023).

Introduction

The successful combination of technology and finance, commonly referred to as Financial Technology (henceforth, FinTech), can be understood as “technology enabled financial innovation” that may result in new business applications, models, products and/or processes, that create manifold material impact on f inancial markets and provision of financial services (Schueffel, 2016).

FinTech presents a promising prospective of bettering the situation of financial inclusion in developing countries like India by leveraging on technology in an innovative manner. Inclusive growth can be achieved through FinTech by means of broad-based prosperity, reduction in transaction costs and better access to financial services to the underserved (Sahay et al., 2020). In this context, Fintech companies are institutions applying technological innovations to increase efficiency and create enhanced access to the finance industry. There has been tremendous growth of such companies in recent years and it has also captured the interest of investors alike.

Introduction

Indian economy is basically an agrarian economy. In spite of all challenges and difficulties faced over the years, the sector still serves as the lifeblood of the nation, by standing as the major source of livelihood for over half of the population by guaranteeing food security for its teeming millions. A significant contribution to the GDP of the nation is still ensured by the agriculture sector. The development of a nation highly centres on its primary agriculture sector and Indian economy have a much diverse dependence on the agriculture sector in terms of its growth and development. The nation straightaway necessitates a tremendous shift entirely to sustainable agricultural practices in its development trajectory.

Despite its undeniable significance and praised role, Indian agriculture currently faces multifaceted challenges, which significantly restrict the production and productivity level of the sector as a whole and the farmers in particular. Its high time that the Indian agriculture sector, which stands as the backbone of the nation needs to go through a looming transformation. The industry 4.0 revolution is a vibrant platform for the sector to make a complete transformation. The traditional face of the sector will transform towards a modern makeover by taking up technological advancement and digitalisation. The wider transformative opportunities will ensure a return of the Indian agriculture sector to the forefront in the nations growth and development.

Objectives of Seed Grading

Minimization of heterogeneity to the lowest level and enhancement of the homogeneity to the highest level in the seed lots received by the processing unit.

Principle

Separation of seed lots based on differences in the physical properties of the seeds.

Post harvest activities include threshing/ seed extraction, drying, pre-cleaning and conditioning, cleaning, fine-cleaning or grading, seed treatment, weighing and bagging/ packaging, sealing and labelling, storing, and transportation for marketing. Except for transportation and marketing, all these activities collectively known as seed processing. However, for most of the crop, threshing or seed extraction, basic cleaning even drying is done in the farm itself and in the processing unit, the threshed seed is received.

The objective of the seed processing is to prepare the harvested seed in such a way that seed of highest purity and quality would be available for marketing, also for planting. The cleaning and the grading are the foremost activity of the seed processing. The seed, which is received in the processing unit, contains many undesirable particles, which as such cannot be used for marketing, hence cleaning and grading become necessary.

Introduction

The term “green intellectual property” (IP) is used to describe the legal protections afforded to environmentally friendly innovations. It’s a strategy for saving the planet by stimulating development of environmentally friendly products and methods. For a very long time, plastic consumption has been a huge environmental problem. A report on single-use plastics has been released by the United Nations Environment Programme (UNEP), outlining steps towards environmental sustainability. This research analyses the efforts made at the national, state, and local levels to reduce the usage of disposable plastics. Policymakers considering restricting the manufacturing and use of single-use plastics may find the insights it presents helpful. In 2015, the United Nations General Assembly established the Sustainable Development Goals (SDGs) as part of the 2030 Agenda for Sustainable Development. By 2030, the world’s population should be free of poverty, the planet would be in good shape, and people would live in peace and prosperity. Several of these targets address plastic use; for example, 12: Responsible Consumption and Production, 13: Climate Action, 14: Life Below Water, and 15: Life on Land.

Introduction

Green Intellectual Property Rights (IPR) is a relatively new and evolving concept that emerged in response to the growing global environmental challenges, including climate change, biodiversity loss, and resource depletion. It is an intersection between traditional intellectual property rights and environmental concerns, aiming to promote and protect innovation and technologies that have a positive impact on the environment and contribute to sustainable development.

The concept of Green IPR gained momentum as the world recognized the need for sustainable practices and solutions to address the adverse effects of industrialization and economic growth on the environment. Intellectual property rights, such as patents, copyrights, trademarks, and trade secrets, have long been used to incentivize and protect innovations in various fields. However, the conventional application of IPR did not explicitly consider environmental considerations.

With the rise of environmental consciousness and the acknowledgement of the limited nature of natural resources, there was a call for integrating environmental sustainability into the intellectual property framework. The idea behind Green IPR is to encourage the development and dissemination of eco-friendly technologies, products, and processes while safeguarding the rights of innovators and creators.

1. _____________ coined the term wildlife. (William Hornday)
2. National Biodiversity Board is situated at_____________. (New Delhi)
3. The term biodiversity was coined by_____________. (Edward Wilson)
4. The study of combination of animal behaviour and ecology is called as_____________. (Ethology)
5. _____________ is the place where an organism or community lives. (Habitat)
6. _____________ is the living medium of the habitat in a wetland. (Water)
7. _____________can be defined as the functional status of an organism in an ecosystem or the role played by a species in its natural habitat. (Niche)
8. The food which is totally non-nutritive and is consumed by the animals only to fulfil its stomach is called ___________. (Stuffing food)
9. The period in which the food is not sufficiently available and causes trouble to the animal, is called __________. (Pinch period)

This chapter covers plant breeding’s present, past, and future prospects with a special emphasis on cultivar development. In order to increase agricultural production and productivity (yield per unit area) of important crops, plant breeders have achieved significant achievements in the genetic enhancement of yield, adaptive features, disease–pest resistance, abiotic stress tolerance, and nutritional qualities. Plant breeding is more crucial than ever to address production issues in order to provide a steady supply of food, feed, and fiber due to the growing demands of the human population and rising climate fluctuations. Now a days plant breeders have advanced tools to create superior cultivars because of recent technological developments in the fields of phenomics, genomics, and biotechnology. This chapter has covered important topics of crop domestication, pre-Mendelian and post Mendelian plant breeding, plant breeding in the 20th and 21st centuries, including information on the green revolution, genetically engineered crops, molecular marker applications, image-based phenotyping, machine learning techniques, and the relationship between both public and private plant breeding organizations, and future plant breeding efforts.

Introduction

One of the biggest problems emerging for the survival of the people in the future is food security. To feed an anticipated nine billion people by 2050, the globe would need to produce roughly twice as much food as it does today. In order to properly accomplish this aim, food production must be elevated sustainably on currently available arable land while addressing the problems brought on by climate change. Over the past five decades, crop yields have steadily increased due to crop breeding programs and better management practices. The rate of yield improvement has, however, reached a plateau (Grassini et al. 2013). The noncompounding yearly yield growth of 0.9% for wheat at the present time, world output rises by 38%, is quite small, and is unable to fulfill expected demand levels by 2050. Therefore, the most beneficial course of action is to investigate more effective, higher-yielding crops (Ray et al. 2013).

Historically, the genetic improvement of wheat has been accomplished by sexual hybridization between related species, giving rise to a large number of cultivars with excellent agronomic performance and high yields. The main methodology for improving cereal crops is still traditional plant breeding, sometimes in combination with traditional cytogenetic methods (Salina et al. 2015). Cereal crops immediately became the top targets for genetic modification due to the worldwide importance of cereal grains in human diets. Over the past 10 years, wheat genetic technology for processing has advanced quickly.

The whole genome sequencing helps the researcher to identify the desired gene and make it useful for the breeding program by transferring that particular gene into improved cultivar. Since, the whole genome sequence is not available for all crops and animals; there is a need of advanced techniques to overcome this problem. One such technique is TILLING (Targeting Induced Local Lesions IN Genomes) and its related technique called Eco-TILLING. TILLING is a reverse genetic approach used to identify the point mutation created by chemical mutagen in the mutagenized population. The chemical mutagen is most widely used and it will create allelic series of mutations which include nonsense, missense, or splice site mutation. The individuals with mutation were pooled by two-dimensional or three-dimensional pooling techniques. These mutations were identified by the formation of heteroduplex complex in the mutated region of the gene. Then, the heteroduplex is cleaved by S1 nuclease family enzyme and were examined in gel electrophoresis which distinguishes heteroduplex from homoduplexes. Now, the identified mutants in gel electrophoresis were subjected to sequencing for confirmation. Eco TILLING is similar to the TILLING except for the mutant population, as we use the natural mutant population in Eco-TILLING; whereas in TILLING we use the artificial mutant population and also pooling is done with reference sample in Eco-TILLING. The advantage of TILLING is that it is a cost-effective, rapid screening of mutant population and a nontransgenic approach as it does not require biosafety measures.

Two cornerstone methodologies in genetics, forward genetics and reverse genetics, illuminate the intricate connection between gene sequences and their functions. Forward genetics traditionally entailed laborious steps, beginning with the observation of mutants and culminating in the identification of causal genetic alterations. While effective, this approach was time-consuming and limited in scalability. Recent innovations have revolutionized forward genetics with next-generation sequencing (NGS), genome-wide association studies (GWAS), CRISPR (clustered regularly interspaced short palindromic repeats)-based screens, and advanced computational techniques. These advancements deliver precision and efficiency, enabling researchers to explore gene function on an unprecedented scale. In contrast, reverse genetics initiates its journey armed with sequence data and harnesses the manipulation of genes to observe resultant phenotypic shifts. Traditional reverse genetics, though invaluable, faced challenges like limited precision and scalability. Cutting-edge approaches have transformed the landscape. Techniques such as prime editing, base editing, high-throughput functional genomics, single-cell genomics, and synthetic biology offer unparalleled precision and capacity. They empower scientists to scrutinize gene function at the single-cell level, conducting precise genome editing and large-scale functional genomics studies. These strides in forward and reverse genetics have charted new territories for genetic research.

Introduction

Crop improvement lies at the heart of ensuring food security, agricultural sustainability, and the resilience of our farming systems. As we confront a world characterized by climate variability, emerging pests, and a growing global population, the need for innovative approaches to crop enhancement becomes paramount. This is where the concept of pre-breeding steps in: a fundamental phase that acts as a bridge between the untamed genetic diversity of wild plants and the refined traits of cultivated crops. Pre-breeding represents the exploration, identification, and incorporation of valuable genetic traits from the vast array of plant species that often remain on the fringes of agricultural attention. These “wild relatives” and underutilized varieties possess traits that have evolved over time to withstand diverse environmental stresses, combat diseases, and adapt to changing conditions. Pre-breeding aims to tap into these reservoirs of genetic potential, merging them with the qualities we value in our cultivated crops. At its core, pre-breeding is a scientific journey of discovery and innovation. It involves the strategic selection and hybridization of plant materials, guided by a vision of enhancing crop performance across multiple fronts. The goal is to create crop varieties that are not only productive and high yielding, but also equipped to thrive in the face of evolving challenges. This involves a delicate dance between tradition and cutting-edge techniques as well as collaboration between breeders, geneticists, and researchers (Qureshi et al. 2014).

Wide hybridization or distant hybridization is crossing between two different species or genera, and has been used successfully to transfer genes and to create new crop species. Wild plant species related to crop plants form an important source of useful traits for quality improvement and biotic and abiotic stress tolerance. Cultivated species has lost many beneficial traits for stress tolerance in the process of domestication and selection, which resulted in uniformity in many agronomic traits. Although there have been multiple cases of valuable tolerant genes being transferred from wild rice to cultivated rice, it is now necessary to look at new breeding and selection strategies that may be applied to wide hybridization. It breaks the species barrier for gene transfer and makes it possible to transfer the genome of one species to another, which results in changes in genotype and phenotype of the progenies. The barriers in wide hybridization occurs as prezygotic and postzygotic barriers. Techniques of chromosome doubling, bridging species, protoplast fusion, and embryo rescue are highly beneficial in recovering fertile progenies by overcoming various barriers in wide crossings. Broadening the gene pool of a crop is an important plant breeding method as it can enhance tolerance of major biotic and abiotic stresses and improve the quality characteristics of the plant.

A literature review attempts to discover, locate, and synthesize relevant research reports, articles, books, and other resources relating to a study subject. The review can be based on published sources like journal articles, conference papers, research abstracts, chapter books, research institution websites , and so on, as well as unpublished materials like theses and dissertations. By examining the literature, a researcher can take advantage of past research and results made by professionals to get the most out of their research.

Examining literature is an important part of every research project since it gives the investigator the information, they need to frame the study on the chosen topic. It directs an investigation on the appropriate path, keeping up with the most recent data.

Studies on Broad Areas of Webometrics

Webometric studies, ranging from earlier to more contemporary studies, have been recognized and organized under the following headings:

• Studies on the Growth and Development of Webometrics

• Studies on theoretical studies of content analysis

• Studies on Web Content Analysis

• Studies on web usage analysis

Websites

Information science is an interdisciplinary field that skirts the study of the organization, production, retrieval, storage, retrieval, use of information, and dissemination. Information and Metric studies of storage and recovery are the primary areas of Information Science. Today’s challenges for information personnel are to pave the way through enormous volumes of information brought about by different means.

The World Wide Web (WWW ), an information space, is a complex structure that incorporates all types of information that need different users and a layperson to the researcher. It is a system of interlinked hypertext documents approached via the Internet . The web pages can be viewed in a way that contains images, text, videos, and several multimedia through the forms of a web browser and negotiated between them with the help of hyperlinks.

It is also a system of multimedia that supports uniquely formatted, using markup languages like HTML or digital documents. These scripting languages support links to other documents, video files, graphics, and audio.

The term ‘Webometrics ’ (Bajorneborne & Ingwersen, 2001) was coined for content analysis , search engine performances, quantitative analysis of web related phenomena, links, and web technology analysis from an information science perspective.

This chapter deals with the research findings of the study together with a relevant discussion of the facts. Results of the study have been presented, and inferences are drawn from them about the specific objectives of the study set forth. Findings of the present investigation on Webometric Content Analysis of Websites of Agriculture and allied sectors in West Bengal and the inferences drawn from them about objectives are presented under the following headings:

6.1 The current web presence of institutions under agricultural and allied sectors in West Bengal . The number of websites under each sector and their URL domain.

6.2 Contents features of the websites , the form of web contents used, information domain and language used in websites.

6.3 Thematic areas intended audience (internal and external users), and the media presence of the websites .

6.1 Current Web Presence of Institutions Under Agricultural and Allied Sectors in West Bengal

An attempt was made to explore the web presence of the institutions related to agricultural and allied sectors viz-a-viz website domain and URL in West Bengal . The variables like the number of websites , their URL address, and domain use status under different institutions were presented in this section.

Gender analysis is the first and the foremost critical step towards gender responsive planning and programming. It involves collection and analysis of sex disaggregated information. It examines the differences, commonalties and interactions between women and men. Gender analysis examines women’s and men’s specific activities, conditions, needs, access to and control over resources, access to development benefits and decision-making.

Gender analysis helps to clarify the specific and often different capacities, vulnerabilities, needs and coping strategies of men and women, and indicates where opportunities for targeting effective strategies lie. Established patterns of gender inequality and inequity can be explored, exposed and addressed. This may provide opportunities and entry points to develop programs that support efforts to build more equitable gender relations. It aims to achieve positive change for women.

Elements of Gender Analysis

a) Natural: Land, water, forests, rivers etc.

b) Economic: Work opportunities, wages and remuneration, remittance, credit and production inputs.

c) Social: Formal and informal education and social services- religion and cultural norms like dress, defining private and public spaces.

Today, health promotion of the poor has emerged, worldwide, as a vital area for policy research and action. Healthcare is the responsibility of the constituent states and territories of India.

Food security: Gender dimensions

Standards have improved gradually over a period of years. But the burden of ill health is borne disproportionately by different population subgroups and people of lower socio-economic status, especially women, as they consistently experience poor health outcomes. Gender inequality leads to food insecurity and is also its leading cause. National food security is largely dependent on agricultural sector. The FAO articulates that food security is achieved when people at the individual, household, national, regional and global levels, at all times, have physical, social and economic access to sufficient, safe and nutritious food to meet their dietary needs and food preferences for a healthy and active life.

Rural women rarely own a control land and lack access to agricultural inputs, technology, training, extension services and marketing services. Despite being major contributors to agricultural production, they have little or no access to the means of production. They face restrictions in mobility due to social conditions, hence face a narrower range of labour markets than men including harsh working conditions and lower wage rates.

The development discourse on women nationally and internationally as discussed above, moved from Women in Development (WID) to Gender and Development (GAD) and Women’s Empowerment. This was reflected in the Government Plans and Policy Documents in their journey through more than six decades. Since independence many schemes were launched for the emancipation of women in the country.

In the Fifth Five Year Plan (1974-79), the development approach replaced the social welfare approach. This recognized women’s productive role and her contribution. The Sixth Five Year Plan (1980-85), is a landmark in the history of women’s development by emphasising on health, education and employment. In the Seventh Five Year Plan (1985-90) priority was given for programmes to improve the status of women. A major development for the empowerment of women was the 73rd constitutional amendment to the Panchayat Raj Act in 1993. This amendment specified that one-third of the posts of Sarpanch and Chairman of the block level assemblies (Samiti) and the district assembly (Zila Parishad) will be women. Today, mobilization of women’s groups particularly in rural areas has become a major strategy in bringing them into the public domain, developing leadership and increasing their access to resources. Indian women have higher visibility in the national and state policies.