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Sustainable development and efficient management of water is an increasingly complex challenge in India. Increasing population, growing urbanization and rapid industrialization combined with the need for raising agricultural production generates competing claims for water. Ground water has an important role in meeting the water requirements of agriculture, industrial and domestic sectors in India. About 85 percent of India’s rural domestic water requirements, 50 percent of its urban water requirements and more than 50 percent of its irrigation requirements are being met from ground water resources. Ground water is annually replenishable resource but its availability is non-uniform in space and time. Technically, the dynamic ground water refers to the quantity of ground water available in the zone of water level fluctuation, which is replenished annually. Hence, the sustainable development of ground water resources warrants precise quantitative assessment based on reasonably valid scientific principles. National Water Policy, 2012 has laid emphasis on periodic assessment of ground water resources on scientific basis. The trends in water availability due to various factors including climate change must also be assessed and accounted for during water resources planning. To meet the increasing demands of water, it advocates direct use of rainfall, desalination and avoidance of inadvertent evapo-transpiration for augmenting utilizable water resources. The National Water Policy, 2012 also states that safe water for drinking and sanitation should be considered as pre-emptive needs followed by high priority allocation for other domestic needs (including needs of animals), achieving food security, supporting sustenance agriculture and minimum eco-system needs. Available water, after meeting the above needs should be allocated in a manner to promote its conservation and efficient use.

1. Introduction

The Indian economy is heavily dependent on agriculture (employing 53 % population). Around 84 % of the holdings are less than 2 ha while approximately 67% of the farms have less than 1 ha of operational farmland (Government of India, 2013; Pandey and Suganthi, 2015). A large fraction of the farming population is mostly reliant on monsoon rains for irrigation. The condition of the farmers is found to be deteriorating year after year with the revelation that 27% of farmers did not consider farming as a profitable enterprise and 40% were ready to migrate to other avenues for employment (NSSO, 2005; Pandey and Suganthi, 2015). 

Individuals suffering from the more pronounced types of mental disorder are sometimes said to be insane, but the term insanity is a legal one, not a medical term. An insane person is one who cannot distinguish right from wrong or assume responsibilities for his own actions. In the case of a psychotic patient the whole personality is involved. And he is completely out of touch with real world around. Not so the neurotic patient. Only a small part of his personality is involved. Psychotic patients often require hospitalization; neurotic patients rarely do, unless they have some additional physical problem.

Another distinction between these two major groups is that his friends usually bring the psychotic patient to the doctor, while the neurotic comes of his own accord. He knows he is sick, and he usually wants help. Most often he is suffering from a nervous depression.

Dermatophilus congolensis was first described from clinical case of exudative dermatitis in cattle in Congo by Van Saceghem (Van Saceghem, 1915). It is primarily known as an animal pathogen causing acute, sub acute or chronic skin disease. The first cases of human infection with D. congolensis were reported in 1961 in four people who developed skin infection after handling an infected deer in a wildlife reserve in USA (Dean et al., 1961).

Properties of genus

1.   Morphology

Dermatophilus is a gram positive, non-acid fast, unusual bacterium having branched filaments. It follows a life cycle with different morphological features. It can be found in smears prepared from clinical samples in any form of its life cycle. Young filaments are 0.5 to 1.5 μm in diameter.  They enlarge within epidermis as they produce layers of transverse and longitudinal septations and reach 5 to 8 μm in diameter, surrounded by a mucoid capsule. The septations result in the formation of a sporangia (a kind of fungal fruiting body, sac like structure with spores) containing up to eight cocci cells. In the presence of liquid, the cocci are released and converted into flagellated motile zoospores, the infective form of the organism. It can infect the new site in the same animal or new host. These zoospores become visible in smear as parallel lines forming a ‘railway-track’ or ‘trum-track’ appearance (Fig.1). Under favourable conditions, the zoospores form germ tubes that develop into branching filaments. These filaments are the invasive form of the organism and the cycle is repeated.

Dermatophylaceae is a group of bacteria with mycelial filaments which divide transversely and in at least two longitudinal planes to form masses of coccoid or cuboidal cells, which characteristically become motile. They are gram positive, non acid fast, aerobic and produce aerial mycelium when their growths are stimulated by 10% CO2. Dermatophilus congolensis, Dermatophilus  dermatonomus and Dermatophilus pedis are the pathogens causing variety of skin lesions in mammals, including man. Dermatophilus congolensis causes very severe clinical disease and its infection is most common in tropical and subtropical regions.
Diseases caused by Dermatophilus species
Dermatophilus congolensis mainly affects Cattle, horses, sheep and goats, but many animal species and man can be infected.The disease has many names;
Cattle : Streptothricosis or Dermatophilosis
Horse : Skin Funk (Rain Rot, Rain Scald, Dew Poisoning), Grease heal
Sheep: Mycotic dermatitis (general infection), lumpy wool (wool- covered skin) and strawberry foot rot (skin of lower leg and coronet
Natural Habitat
Dermatophilus congolensis is the only species in the genus is thought to maintain itself in small foci of infection on a carrier animal or within scab particles in dust. It can survive in scab material for period’s upto 3 years.
History
Bovine disease was first described by Van Saceghem in 1915 in the Congo now known as Zaire in Africa.

It is a fungal infection of skin and the term favus is used for the disease in poultry. The disease is world wide in distribution.

Etiology

Microsporum gallinae, a fungus. The fungus is zoonotic. Lesions of ring worm are produced in humans in contact with infected birds.

Etiology

Canine dermatophytosis (canine ring worm) is a relatively common dermatological condition caused by Microsporum canis, Trichophyton mentagrophytes and Microsporum gypseum. These fungi are keratinophilic in nature. It can occur mostly in the face and forelegs.

In the classification given below only those groups have been given emphasis which contain plant pathogenic fungi or which are important from taxonomic point of view. The description includes only critical features.

Vero (monkey, African green, kidney) 
Morphology: Fibroblast
Species:, African green monkey 
Tissue: Kidney

Properties: Virology, virus titration, virus replication, plaque assays, bacterial cytotoxicity

Introduction

Flowering plants (Angiosperms) are identified by their morphological characteristics like flower, fruit and seeds that help their taxonomic characterization into different species, genera, families and orders. The floral characters which are used for taxonomic characterization of plants include the type of inflorescences, perianth structure, floral symmetry, arrangement of floral leaves, type of androecium, stamens, gynoecium, carpel, ovule, etc. The type of fruit and seed also play important roles in taxonomic classification. In this chapter we will briefly discuss about various morphological features of flowering plants (in botanical terms) that are useful in taxonomy.

Nomenclature of Plant

Nomenclature of plant is the formal and scientific naming of plants. It is related to but distinct from taxonomy for grouping and classifying plants and provide botanical name.

The scientific/botanical nomenclature started with Species Plantarum by Carolus Linnaeus in 1753. Botanical nomenclature is governed by the International Code of Nomenclature for algae, fungi, and plants (ICN), which replaces the International Code of Botanical Nomenclature (ICBN).

ICBN and ICN

International Code of Botanical Nomenclature, (ICBN) was adopted by the VIIth International Botanical Congress held in Stockholm, July1950. While the International Code of Nomenclature for algae, fungi, and plants (ICN) was adopted by the XVIIIth International Botanical Congress held in Melbourne, Australia in July 2011.

This chapter contains the description of the Indigenous Traditional Knowledge practices as subject wise manner viz, Traditional varieties, Crop management, Crop protection measures, Post harvest methods, Storage structures, Farm tools, Medicinal plants, Ethnoveterinary practices, Fisheries and others related to agriculture.

Moniliformis means ‘like a string of beads’ signifying the arrangement of flowers on the spike. The tree is native of tropical Australia. It is valued for afforestation and beautification. It grows in warm climate under both dry and moist atmosphere. It is a medium-sized, thornless, quick growing, evergreen tree of 13 to 15 m height.

Leaves: True leaves are present only in early seedling stage. The apparent leaves are the modified midrib called phyllode, leathery, sickle-shaped, tapered at each end, up to 18 cm long and 6 cm broad; nerves parallel.

Commercial ice cream represents a highly diversified category influenced by formulation, processing technology, regulatory standards, consumer preferences, cost structures, and market positioning. This chapter explains the meaning and characteristics of commercial ice cream, with particular attention to the Indian regulatory and market context. It examines major commercial product types, their compositions, ingredient functions, and differences from artisanal products. The chapter also discusses contemporary market trends and changing consumer expectations, including premiumization and alternative formulations. Quality challenges such as ice crystal growth, sandiness, shrinkage, weak body, coating defects, and cold-chain failures are considered, providing readers with a practical understanding of commercial ice cream production and positioning.

Annuals are the group of plants that complete their life cycle in one season or in one year during which they grow, flower and produce seed; and after this they wither out. A true annual (like zinnia) is a plant that will grow from seeds, flower, produce seeds and die in one season. Zinnias provide a succession of flowers for summer colour in any sunny location with good soil drainage.

5.1. INTRODUCTION

Mean and standard deviation summarizes the salient features of a data set. But they do not describe adequately the full characteristics of the data. For an adequate description of the characteristics of a data set, a convenient method is to plot a frequency distribution curve. Such curve is constructed by first drawing a frequency polygon, which may then be smoothened to a frequency curve, indicating the distribution. The frequency curve or distribution of specific biological variables generally has a specific form and plays a very important role in statistical theory and practice. It is customary to describe a curve in terms of its symmetry or assymmetry and its flatness or peakedness.

The following types of distribution are commonly seen in the biological world:

3.1. INTRODUCTION

In this chapter, we will study the measures of central tendency which is a numerical method to explain the data in brief. We can see examples of summarizing a large set of data in day to day life like average marks obtained by students of a class in a test, average rainfall in an area, average production in a factory, average income of persons living in a locality or working in a firm etc.

One of the most important objectives of statistical analysis is to get one single value that describes the characteristic of the entire mass of data. Such a value is called the central value or an ‘average’ or the expected value of the variable. This single value is the point of location around which individual values cluster and, therefore, called the measure of location. Since this single value has a tendency to be somewhere at the center and within the range of all values it is also known as the measure of central tendency. The purpose of computing an average value for a set of observations is to obtain a single value which is representative of all the items.

The branch of statistics which describes the data is called descriptive statistics. After collection, the data are presented in form of tables, diagrams or graphs. This facilitates the further analysis of data. The most basic form of data analysis is descriptive analysis of data collected and presented for the study. The descriptive statistics summarises the data and helps to find the representative value of the entire data set and the variation of the other values in the data set around the representative value. The descriptive statistics includes the measures of central tendency or averages, measures of dispersion or scatteredness, measures of skewness and the measures of kurtosis. Before going to discuss the R codes for various measures of descriptive analysis, we would first discuss in brief about these measure. This will help in better understanding of the R codes.

Measures of central tendency or averages: They are the representative values of the data series. They give an idea about the concentration of the values in the central part of the distribution of the data. There are five types of averages. They are 1. Arithmetic Mean (A.M.) 2. Geometric mean (G.M.) 3. Harmonic Mean (H.M.) 4. Median 5. Mode.

Introduction

Importance of basic statistics in everyday life cannot be stressed enough. Inclusion of basic statistics in high school curriculum is uncommon but proves highly beneficial to supplement certain careers in future. This field may be the most widely used of all and most people don’t even know they are using it. Many of today’s brightest business minds use this study to create charts and graph that allow them to stress a certain aspect of the business they are dealing with. Market research agencies, News rooms, marketing divisions of large corporations, NGOs, accounting firms etc. are full of people who specialize in basic statistics.

Statistics is concerned with the describing, interpreting and analyzing data. It is, therefore, an essential element in any improvement process. Statistics is often categorized into descriptive and inferential statistics. It uses analytical methods which provide the math to model and predict variation. It uses graphical methods to help making numbers visible for communication purposes.

Descriptive Statistics

• Descriptive statistics summarizes or describes characteristics of a data set.

• They help to make sense of large numbers of individual responses, to communicate the essence of those responses to others

• Helps exploring and making conclusions about the data in order to make rational decisions.

• Includes calculating things such as the average of the data, its spread and the shape it produces.

• Are displayed as tables, charts, percentages, frequency, distributions and reported as measures of central tendency

• Determine if the sample is normally distributed (bell curve) as most statistical tests require the sample to have normal distribution

• Determine if the sample can be compared to the larger population

Difference between Descriptive and Inferential Statistics

Nowadays, statistics is playing a major role in the field of research; that helps in the collection, analysis and presentation of data in a measurable form. It is quite hard to identify, whether the research relies on descriptive statistics or inferential statistics, as people usually, lacks knowledge about these two branches of statistics. As the name suggests, descriptive statistics is one which describes the population. On the other end, Inferential statistics is used to make the generalisation about the population based on the samples.