eChapters

9.1 INTRODUCTION

Cluster bean is grown in India to a lesser extent than other beans. It is a commercial crop of arid and semi-arid regions. It is grown for its green pods that are used as vegetable and dry seeds. It is also grown as forage and green manure crop. Among leguminous crops it is comparatively hardier, drought resistant and cultivated on a large scale as a forage crop in dry regions because of its deep tap root system which enables it to recover from water stress. Some of the cultivars are used for extraction of gum called as guargum. The gum obtained from this crop is like a mucilaginous substance called galactomannan that is used in various industries particularly textiles, cosmetics, explosives and paper. Due to its colloidal nature, the gum acts as a stabilizer and thickener in food products,viz., ice cream, bakery mixes and salad dressings. The seeds of clusterbean contain about 30-33% gum in the endosperm. The gum in the seeds are galactomannan polysaccharides. The discovery of the galactomannan gum in the endosperm during 1948, led to its importance as an industrial crop. Today it is one of the significant foreign exchange earners of the country. Fresh pods contain 82.5% water, 9.9% carbohydrate, 3.7% protein, 0.2% fat, 2.3% fibre and 1.4% mineral matter. Cyamopsis senegalensis is the ancestor of guar. The largest growing state is Rajasthan (82%). Young plants of cluster bean contain hydrocyanic acid which causes toxicity to animals. It is an amide (asparagine and glutamine) producing legumes.

Introduction

Emu (Dromadius navaehollandiae) are reared commercially in many parts of the world for their meat, oil, skin and feathers, which are high economic value. Emu is considered as one of the latest emerging species in India. It is an exciting and rewarding new agri-business. Next to the ostrich, the Emu is the largest living flightless bird, standing more than 1.5 m tall, length varies from 130-190 cm, weight more than 45-55 kg, the wings are atrophied and the feathers are of earth-greyish to grey-brownish colour. Emus are curious and docile birds. Emu has a more slender body than an ostrich. But it has a shorter neck covered with feathers and fattier than an Ostrich. Body is covered with drab coloured plumage and both the sexes are similar having dark grey head and neck. There are no large decorative plumes in the male’s tail. The feathers are very primitive and look like coarse hair.

The anatomical and physiological feathers of these birds appear to be suitable for temperate and tropical climatic conditions. These birds can be well maintained on extensive and semi-intensive rearing systems with reasonably high fibrous diets. United state, Australia and China are leading in Emu. Emu is introduced recently into India. The Emu is a large flightless bird. They have 3 toes and long legs which allows them to run extremely fast. In this species, the female is larger than the male. Emu, feed on grass, leaves and small insects. They live all over Australia in grasslands. The female lays up to 20 eggs, which are large and are soft dark green in colour. These eggs are often prized not only by humans for decoration pieces, but by animals as a food source. The male incubates the eggs for a period of 7-8 weeks, and does not leave the nest for this period. When the eggs hatch, the male Emu looks after the hatchlings for another six month. The Emu is the world’s third largest bird. The Ostrich and Cassowary take the top positions. The nest of an Emu can be up to 1.5 meters wide.

The ultrasonography is based on echo-principal i.e. reflection of sound waves. The ultrasound waves, commonly termed as ultrasound beam is generated from the pizzo-electric crystals, under electric stimulation. The sound beam travels and strike to the organs/tissues on its way and get either reflected or reabsorbed by these structures. The reflected beam is received back by the transducer, which are processed and displayed on the monitor of ultrasound scanner. The display of signal is in form of shades of grey scale i.e. from bright to black picture. If these sound beams strike to organ such as bone, then major part of the beam is reflected and it appears bright (white) on screen. If the sound waves strike to fluid, these get absorbed and are not reflected back, therefore, the image of fluid appears as black on the screen. Other organs appear in between black and bright white. In fact, the reflected sound beam is not proportionate to frequency and velocity of emitted ultrasound beam. The strength of ultrasound beam (grey scale) or brightness of the image depends upon the acoustic impedance of organ or tissue. In simple term acoustic impedance is the capacity of tissue or organ to reflect or absorb these sound beams that again depends upon density or composition of these structures. The reflection of sound beams also depends upon, the angle at which the ultrasound beam strikes the structure on its way. The distance of the organ from the transducer also affects image brightness.

INTRODUCTION

Krishi Vigyan Kendras (KVKs) also known as Agricultural Science Centres are the integral component of the National Agricultural Research System, which aims for development and promotion of location specific technology modules in agriculture and its allied enterprises, through Technology Assessment, Refinement and Demonstrations. At present there are 585 KVKs in the country grouped under eight zones and 77 in Zone VIII comprising of Karnataka, Kerala, Tamil Nadu, Goa, Puducherry and Lakshdweep.

The major mandate of the KVKs includes Technology Assessment and Refinement through on Farm testing, popularization of technologies through Frontline Demonstrations to prove their production potentials in the farmers’ field. Conducting skill oriented training programmes to farmers and farm women, rural youths and extension personnel mostly focussing the technologies assessed/refined or demonstrated, conducting vocational training programmes for rural youth, popularization of technologies through various extension programmes so as to reach the masses, production and supply of good quality seeds, planting materials and other bio-products to the farming community.

2.1    Specification Drafting
    
2.2    Methods and Precautions in Drafting Patent Specification
    
2.3    Disclosure Requirements
    
2.4    Patent Claims
    
2.5    Filing of A Patent Application

One of the important studies in the crop improvement programme is the discriminant function analysis. This is a method of exercising selection in plants, which show the extent of which character is genetically related to yield (Goulden, 1959). The technique of discriminant function was developed by Fisher (1936). But, the application of this method for plant selection was first made by Smith (1936) in wheat. He developed an index design for the selection of plant lines in wheat using the concept of discriminant function to derive a linear equation based on observable characteristics as the best available guide to the genetic value of each line.

Stephens (1942) reported about the interaction of yield components within the plant and within the population, which serves as an index for yielding ability. According to Hazel and Lush (1943), selection for a total score or net desirability is more efficient that selection for one trait at a time. The formulae presented by them for selection index give proper weight to each trait that are more efficient than selection for one trait at a time or for several traits with an independent culling level for each trait. According to Darlington and Mather (1949) discriminant function has been defined as a linear compound of series of varieties, obtained by giving the different varieties with individual coefficients which will minimize the difference between classes relative to variation within classes of objects of which the variates are measurements. Mather (1949) reported that these functions afford to the best available means of discriminating the classes and evaluating the genotype of a plant in terms of the observed values of various characters. Pundir and Raj (1971) reported that selection index based on three characters combination i.e., seeds per siliqua, 1000 seed weight and yield per plant was efficient in toria.

ABSTRACT

India is the largest producer of banana, contributing to 17.3 per cent of the global production. In Kerala, it is the leading fruit crop, being cultivated in an area of 99,412 ha with an annual production of 7,31,650 tonnes. Biodiversity in the cultivars of banana, which consist of triploids, is complex especially in Nendran. Nendran belonging to Musa AAB plantain subgroup is the leading banana cultivar of the Kerala. in Kerala, several landraces are available, cultivated in different parts, known in different local names. Twelve Nendran ecotypes of banana belonging to AAB genomic group were collected from Banana Research Station, Kannara, Banana Nursery Farm, Palode and Instructional Farm, College of Agriculture, Vellayani to ana lyse genetic divergence using RAPD marker and morphological traits. Out of the forty one decamer primers screened for RAPD analysis, 34 could produce amplification. Twenty five primers showed high level of polymorphism. Finally, six of the most promising primers viz., OPA-01, OPA-03, OPA-13, OPB-04, OPB-10 and OPB-12 were used for RAPD analysis. Statistical analysis for the morphological traits and RAPD marker were conducted using the software programme NTSYS pc version 2.02e. The matrix average taxonomical distances (similarity coefficient) among the ecotypes ranged from 0.59 to 1.00 in RAPD profiles and morphological profiles (dissimilarity coefficient) ranged from 2.82 to 11.21. In the dendrogram (RAPD profiles), Koonoor Ethan showed the maximum genetic divergence. Quintal banana and Zanzibar came under a single clusters at a distance of 0.79 and clustered together at a distance of 0.82. Both the ecotypes showed next higher genetic divergence among the Nendran ecotypes. In the case of morphological traits, the same trend could be observed. Koonoor Ethan showed the maximum genetic divergence at a distance of 11.21 and Quintal banana showed next higher genetic divergence at a distance of 9.11. Koonoor Ethan, Quintal banana and Zanzibar were distinct ecotypes among the Nendran ecotypes of Kerala

Introduction

Nanotechnology and nanoparticles are increasingly recognized for their potential applications in various aspects of human animal and animal welfare like development of various healthcare or cosmetic products, nano-electronics and techniques for environmental remediation, and many consumer products. Nanoparticles, by definition, are structures that have one dimension in the 1–100 nm range. Nanotechnology involves the application of materials at the nanoscale to new products or processes. Over the past few decades, inorganic nanoparticles, whose structures exhibit significantly novel and improved physical, chemical, and biological properties, phenomena and functionality due to their nanoscale size, have elicited much interest. Nanophasic and nanostructure materials are attracting a great deal of attention because of their potential for achieving specific processes and selectivity, especially in biological and pharmaceutical applications. Nanotechnology has made a new generation industrial revolution by developing product and formulations for medical, agriculture (nano-fertilizers, nano-herbicides, nano-pesticides, recalcitrant contaminants from water, nano-scale carriers, nanosensors), veterinary care, fisheries and aquaculture, detection of nutrient deficiencies, preservation, photocatalysis, nanobarcode, quantum dots etc. It is a rapidly growing industry currently worth billions of U.S. dollars, with many potential benefits to society. Nanotechnology has the environmental applications to protect climate change and environmental pollution as nanocatalyst, light weight nanocomposite materials, nanocoatings, improved renewables and nanosensors.

This fast growing technology is already having a significant commercial impact, which will certainly increase in the future. Because of their widespread application, the commercial nanotechnology industry is predicted to increase significantly to more $3 trillion in few years. While nanotechnologies offer many opportunities for innovation, the use of nanomaterials in food, agriculture and environment has also raised a number of safety, environmental, ethical, policy and regulatory issues.

Disruption of the cellular or anatomical continuity of the normal organ structure is known as wound. Healing involves migration, infiltration, proliferation and differentiation of several cell types like keratinocytes, fibroblasts, endothelial cells, macrophages, and platelets which are culminate as an inflammatory response, new tissue formation and wound closure. Healing of the wound starts from the moment of the injury and can continue for varying periods of time depending on the extent of wound. The process of wound healing involves coagulation, inflammation, formation of granulation tissue, matrix formation, remodeling of connective tissue, collagenization and acquisition of wound strength.

Chitosan is a -1, 4-linked polymer of glucosamine (2-amino-2-deoxy—D-glucose) and lesser amounts of N-acetylglucosamine. It is a derivative of chitin (poly-Nacetylglucosamine) which is the second most abundant biopolymer after cellulose. Chitosan is first discovered in 1811 by Henri Braconnota, a French chemist and pharmacist. Later in the century, chitin is found in crustaceans (such as crabs, lobsters, shellfish and shrimp). Chitosan is a biodegradable polymer and it accelerates wound healing. It has been reported that chitosan permits regeneration of tissue elements in skin wounds and has positive application effects on wound healing.

Introduction

The demand of diversified food has increasing due to health consciousness in the modern civilization. The European communities have gone in search of new foods which contributed mainly to the health diet of population. In this process, animal and avian species have contributed to a large extent in providing the required health foods like milk, meat and eggs. The tendency to go for low calories foods has resulted in increased demand for new species for meat purpose. At present, the ostrich meat ranks highest among health food in Europe. Ostrich meat in terms of health value is credited to less percentage of fat, low cholesterol, less calories, rich in protein and iron. The demand of ostrich meat has been increasing especially after the threat of mad cow diseases. The unique taste of ostrich meat has been added into different meat dishes. This meat has a great demand in restaurant in Europe, Japan, Australia and China in a big way. The popularity of this bird can be judged from the fact that presently 65 countries, including our neighbor Pakistan and China are engaged in ratite farming. The increased demand of ostrich over the past few years has given way to rearing birds under controlled system. The intensive system become popular because of adoption of scientific technologies reduced risk of diseases, through improved bio-security measures, genetic selection and nutritional innovation, health regimes and extensive diseases surveillance. Scientifically proven management practices resulted in low cost production and improvement in quality of ostrich products.

ABSTRACT

It is very important for every library to have all the resources/materials necessary to fulfil its target. The working of a library can be classified into two forms: dealing with the users and behind the scene. There are numerous different sections in a library divided on the basis of their functions. Most important of these is the Acquisition section. A library’s success lies in a well organized acquisition section. Main aim of the library is the contentment of the users. However, collection development is the primary task of the acquisition section which further contributes to user satisfaction itself. It performs the process of selection, procurement and accessioning of reading materials as well as maintains records. It organizes the monetary as well as human resources in such a manner that collection is facilitated more and that too in an economic and less time consuming way. All this is the responsibility of the librarian. Before acquiring the reading materials, the librarian is supposed to decide that which items are actually required in the library and which are to be rejected. A librarian must study the requirements of the library and acquire materials as per the priorities of the institution to achieve its goal.

1.1 Introduction

Python is an interpreter, high level, general purpose programming language developed by Guido Van Rossum and its first version was released in 1991. There are two major Python versions: Python 2 and Python 3. Both are quite different.

1.2 Beginning with Python Programming

1.2.1 Finding an Interpreter

Before we start Python programming, we need to have an interpreter to interpret and run our programs.

Windows: There are many interpreters available freely to run Python scripts like IDLE (Integrated Development Environment) that comes bundled with the Python software downloaded from http://python.org/.

Linux: Python comes preinstalled with popular Linux distros such as Ubuntu and Fedora. To check which version of Python you’re running, type “python” in the terminal emulator. The interpreter should start and print the version number.

macOS: Generally, Python 2.7 comes bundled with macOS. You’ll have to manually install Python 3 from http://python.org/.

Introduction

Indian agriculture, including fisheries, is highly monsoon dependent and effect of climate change is immense on its large tracts of rainfed farms. The effects of climate change could be thwarted through better adaptation techniques using all information available with various agencies concerned with agriculture and using advanced analytical tools. Presently, in the country, there is a gap in the capability in capturing, processing and analyzing huge source of information generated in Indian agriculture. This task can be accomplished using Big Data Platform which works in cluster mode and provides the capability of handling huge volume of data, capturing streaming data or real time data and also can accommodate unstructured data. As per FAO, 70 percent in increase in food production in another 30 years is required to overcome the increasing global food demand. It may not be possible to achieve that target due to variety of problems such as reduction in land for cultivation, climate change, and various other factors, such as increasing the fish production etc. Improvement in crop genetics, application of fertilizer in higher dosages, irrigation facilities, etc. may not be possible in future. We need to create a big data platform involving important parameters on crop production viz., soil, soil temperature, water requirements, and relative humidity, pests and diseases, and micro and macro nutrients in temporal and spatial. Now, since available data is properly utilized for making valid analytics by the farming community due to certain issues. Even the data created is incompatible, data available from various sources is also not compatible among themselves due to which decision making is also a big challenge. Due to the incompatibility of agricultural data from different sources, farmers do not have the accessibility to vast pool of available information for making effective, efficient and timely decisions.

Big Data in Agriculture (including fisheries)

Big data, an emerging data driven system helps in precision agriculture based on data collected. This helps farmers in making efficient decisions on sowing, planting, fertilizing and various other farm operations including

harvesting crops at the appropriate time. Of late, sensors are placed in the fields to collect data on related parameters viz., soil temperature and moisture relative humidity, wind speed, weather, etc. which help in crop growth. Images obtained using satellites are helpful in monitoring the crop growth during crop period. Agro-produce includes not only yields obtained from crops but also include produce from horticulture, livestock, fisheries, and other systems also. Agriculture is dependent on various parameters such as climate, seed, soil cultivation practices, agronomic practices, irrigation requirement, fertilizers pesticides, weeds, harvesting, post harvesting techniques, etc. Data collected on all these parameters would help in estimation of yield and other relevant parameters. Governments, Universities, Research departments, Agro-business and Agri-input companies generate, maintain and use voluminous data related to various farm management practices and other related issues say insurance marketing, supply chain, packaging, distribution, etc. This voluminous and wide variety of data poses several challenges for making effective decisions. Information on various fish related parameters can be collected from the stakeholders and a big data platform can be developed for effective decision making.

Ultrasonography in goat is becoming popular in the field of reproduction and replacing the other old-age techniques, viz. abdominal ballotment, recto- abdominal probes, X-rays and radioimmuno-assays. The reasons are numerous such as unsatisfactory results, hazardous effects to animal, operator or environment, high cost, long delay in diagnostic results and requirement of sophisticated labs. The ultrasound system has low operating cost and does not need special labs as it can be done at farm itself. Ultrasonography is considered safe to the animal and the operator and provides quick and reliable results. The popular opinion about ultrasonography is that it is noninvasive imaging system and is rapid, safe and practical means of diagnosis of pregnancy and reproductive disorders in sheep and goat. The B-mode real time ultrasonographic system particularly portable system is popular among researcher and practitioners. In goat, B-mode real time ultrasonography was used in 1971, using 5 MHz frequency transducer. A transducer of switchable frequency from 7.5 to 5.0 is more popular in small ruminant research and practice.

1. Feed costs 40-60% of the operational cost of the aquaculture systems.

2. Nutrition consists of diet (what you take in) and metabolism (what happens to it after it enters your body).

3. Types of nutrients: 6 (water, protein, lipid, carbohydrate, vitamin and minerals).

4. Organic nutrients - Carbohydrates, Fats, Proteins and Vitamins.

5. Inorganic nutrients - Minerals.

6. Energy yielding nutrients Protein, Fat and Carbohydrates.

7. Non-Energy yielding nutrients - Vitamin and Mineral.

8. Lower protein requirement - Herbivores and omnivores.

9. Higher protein requirement - Carnivores.

10. Average calorific values for protein-5.65 Kcal/g.

Fruits contribute to nutritional security and thus are an important part of food system. To meet the future demand, development of varieties with improved yield and quality is the focus of researchers involved in fruit breeding. Though conventional breeding has resulted in the development of improved commercial varieties of different fruit crops, however conventional breeding is time consuming and faces several challenges due to long juvenile phase, highly heterozygous nature of most of the fruit crops. Challenges like changing climate, consumer preference, socio-economic conditions like reduced availability of land, labour and increasing cost of inputs, require fast and efficient methods to develop the varieties to meet the demands, which is not feasible with conventional breeding. Marker assisted breeding has given impetus to breeding efforts in several fruit crops, however it’s use is limited only for the traits controlled by a few major QTLs.
During last few years, enormous genomic resources have been developed for fruit crops using next generation sequencing technology. Such advances in genomic research in many fruit crops have paved the way for precision breeding using genomic assisted breeding (GAB) tools. GAB has helped in characterisation and utilisation of genome resources and using allele variation for cultivar development (Varshney et al. 2021). Advances in sequencing technology and affordability has allowed the genome wide analysis (GWAS) on diversity panels of different fruits resulting in identification of allelic variation associated with the traits of interest. Also, identification of superior alleles of candidate genes makes them amenable to genome editing based precision breeding. Genome wide genotyping and phenotyping offers tools for developing strategy for genomic selection (GS). Genomic selection relies on the prediction of breeding values of tested genotypes based on the large number of markers spread over entire genome. These tools promise to further improve breeding efficiency in fruit crops.

Abstract
Infectious diseases pose significant threats to global aquaculture, causing substantial economic losses exacerbated by intensive farming practices. RNA viruses, including birnavirus, nodavirus, rhabdovirus, and others, infect both wild and cultured fish, leading to severe mortalities. This study focused on detecting two RNA viruses, Infectious Hematopoietic Necrosis Virus (IHNV) and Spring Viremia of Carp Virus (SVCV), using the TRIZOL reagent method. Fish samples, including Tilapia, Mrigal, Catla, and Minor carp, were observed for clinical symptoms and dissected to collect organs like kidney and spleen. RNA extraction was performed using TRIZOL, followed by cDNA synthesis and PCR amplification targeting specific viral genes. Gel electrophoresis confirmed the absence of IHNV and SVCV in all samples tested. This comprehensive methodology ensures efficient surveillance and early detection of viral infections in aquaculture, thereby enhancing disease management strategies and economic sustainability. The findings indicate a current absence of IHNV and SVCV in the studied fish populations, emphasizing the importance of ongoing monitoring to safeguard aquatic health.
Keywords: (RNA Viruses, Trizol reagent method, Viral detection)

Ixora is an evergreen flowering shrub valued for its attractive clusters of brightly coloured flowers and its suitability for loose flower production, religious offerings, garlands and landscaping. The crop performs well under tropical and subtropical conditions and is appreciated for its extended flowering period. This chapter presents the botanical characteristics, origin, distribution, genetics and important varieties of Ixora. It discusses suitable climate and soil conditions, propagation, land preparation, planting, nutrient management, irrigation and cultural practices. Special attention is given to pruning and canopy management for improving flowering. The chapter also covers important insect pests and diseases, harvesting, postharvest handling and yield, providing practical guidance for commercial Ixora production.

Whenever we design a scientific study it is designed in a specific contextual background to solve one or another scientific problem. Subsequently it also involves a set of variables/phenomenon operating in a particular context, set of relationships among these variables and the conditions under which they operate. Certainly, to address an unsolved scientific problem we need to carry out research by employing well defined research methodology and have an idea about possible outcomes.  For example when a extension scientist is asked to study the impact of a novel programme, he needs to understand the background and the context under which the programme was introduced, what are the developmental inputs given under the programme, to whom, when (variables), with what purpose (context), what kind of impact he/she is supposed to investigate (presumed relationship), what methods he is going to use to investigate the impact of developmental programme (research methodology) and what are the possible outcomes of the investigation and how programme interventions are related to the outcome (relationship).