eChapters

In the semi-arid tropics, where small farmers depend heavily on rain-fed agricultural systems, variability in precipitation has a dramatic impact on crop production and livelihoods. Because small-scale agriculture depends on rain-fed cultivation, it is vulnerable to factors such as flooding and drought. Unfortunately, the frequency of unexpected heavy rainfall or flood events has increased in many areas of Africa, including Southern Zambia. About 75% of farmers in Zambia engage in small-scale farming, with an average farm size of 2 ha (VAM Steering Committee Zambia, 1998). Most of these farmers cultivate maize, which is a staple food in Zambia, and stable maize production and increased productivity are important both for food security and to provide a livelihood to farmers.

In spite of its importance, little has been done to assess interactions of climatic variability with productivity performance of different livestock species, sustainability of livestock production systems, livestock based livelihoods and application of science of climate change on small holder and subsistence livelihoods. The climate and its change affect all productive traits and physiological functions of farm livestock and related livelihoods. Heat stress is the most detrimental constraint to livestock production, particularly in mountainous regions. Introduction and selection for highly productive animals and breeds has increased their susceptibility to adverse impacts of climate change. It is necessary to incorporate resilience through selection and breeding for thermo-tolerance and development of adaptable breeds. Modifications in shelter designs and management of production facilities will also be helpful in mitigating adverse climate impacts on animal production and health. Modern animal husbandry practices that target increased per animal productivity allow efficient utilization of feed nutrients and increase returns from fewer animals. Livestock need to be looked for their immense contribution to nutritional security and livelihoods. A well designed livestock production system is among the best ways for sustaining and improving livelihoods and this chapter details the possible options.

Introduction to Copyright Law
Copyright law is a fundamental mechanism for safeguarding intellectual property (IP). It provides creators exclusive rights to their work and controls its reproduction, distribution, and use. As creative industries expand globally, copyright law has become integral to protecting creators’ rights and enabling innovation. Originally stemming from the need to protect books, copyright now covers diverse mediums, including music, films, software, and digital content.
The Copyright Act is legislation that formalizes these protections and establishes rules regarding ownership, rights, duration, and infringement of copyrighted materials. Each country may have its own version of the Copyright Act, yet the overarching principles are largely similar due to international agreements such as the Berne Convention for the Protection of Literary and Artistic Works and the World Intellectual Property Organization (WIPO) Copyright Treaty.
Historical Development and Global Influence
The foundation of copyright law can be traced to early European statutes. The Statute of Anne (1710) in Britain is often considered the first formal copyright legislation, setting a precedent for other jurisdictions. The Statute of Anne aimed to promote learning by granting authors the right to control and profit from their work, forming the concept of authorial rights.
In the 19th and 20th centuries, as cross-border trade expanded, nations recognized the need for standardized copyright protection. The Berne Convention for the Protection of Literary and Artistic Works (1886) marked a pivotal moment, providing a framework for copyright on an international scale. The Universal Copyright Convention (UCC) (1952) and Trade-Related Aspects of Intellectual Property Rights (TRIPS) agreement further unified copyright standards, ensuring fair treatment of copyrighted works across borders.

Abstract

Intellectual property right (IPR) is the most serious, new branch of law and a legal right conferred by federal government in accordance with International conventions and treaties. IPR protects some of the finer manifestations of human achievement. IPR safeguards the application of ideas and information that are of commercial value. The exploitable ideas become more sophisticated and hope for a successful economic future depends increasingly upon the superior corpus of new knowledge and fashionable conceits.  Copyright law is one of the effective tools of IPR. Copyright law provides an incentive to creative activity of author and permits the society to benefit from those inventions. However, the technological advancement has made violation of copyright very easy and regulation very difficult. This paper aims at familiarizing  copyright laws and the powers enshrined in copyright laws.

I. INTRODUCTION

The Websites are soaked in information, much of it with varying degrees of copyright protection. In fact, the reality is that almost everything on the Net is protected by copyright law. E-business Websites are a composition of materials, often consisting of words, graphics, audio, and video that are expressed to the consumer as information content. The owners and Website developers carefully select the content to sell the company’s product or service. The subject matter expressed in the site is an electronic publication of this content. Since, designing, producing, and maintaining a sophisticated Website is very expensive, protecting content ownership is extremely important. Electronic commerce will continue to be highly competitive. As Websites become more and more interactive with consumers, their creation, design, and maintenance place enormous demands on innovative marketing techniques that should be legally protected.

Never before has it been so easy to violate a copyright owner’s exclusive right to copy the material. Everyone with a computer and an Internet connection creates his own Web pages and thus become a publisher. Hence the rules that once applied to only a few companies bind million of people now. Imagine having paid a Website developer hundreds of thousands of rupees to launch a killer application and acquiring millions of Rupees from a venture capitalist firm, only to discover that another e—business is using your online material. Or consider a scenario where your Website is linked to an e-business that displayed copyrighted material without the owner’s consent. Could your company be liable under a theory of copyright infringement? This paper highlights the scenario when contents of your Website are exploited by others without your permission or knowledge. The discussion is centered on copyright issues involved in the practices of linking, inlining and framing technologies which are normally being used on the Internet.

Copyright is a legal entitlement granted to creators of literary, dramatic, musical, and artistic works, as well as producers of cinematographic films and sound recordings. This legal right encompasses various privileges, including the reproduction, adaptation, translation, and communication to the public of the work. The composition of these rights may vary slightly, depending on the nature of the work. Along with Intellectual Property (IP), Copyright is a legal concept that safeguards the rights of creators and inventors. Copyright confers upon creators the exclusive legal right to reproduce, distribute, and exhibit their work, while IP comprises other legal rights such as patents, trademarks, and trade secrets. Copyright applies to a diverse range of creative works, including literary, dramatic, musical, and artistic works, as well as sound recordings and cinematographic films. Piracy is a worldwide issue that adversely affects various content industries, such as software, television, recording, and movies.

Copyright and IP laws play a crucial role in promoting creativity and innovation by safeguarding the rights of creators and inventors. These laws grant exclusive rights to creators and inventors, allowing them to financially benefit from their work. This encourages investment in research and development, leading to the creation of new ideas, products, and services. Without copyright and IP protection, creators and inventors may be discouraged from investing their time and resources into creating new works, resulting in a decline in innovation and economic growth. These laws also protect consumers by ensuring that they receive original, high-quality products and services instead of counterfeit or low-quality imitations.

Introduction

Corals, those captivating creatures of the underwater world, belong to the enchanting realm of Cnidaria—a diverse group of invertebrate animals. Among its mesmerizing members are jellyfish and sea anemones, which might have caught your eye in tide pools or along the shoreline. These creatures come in an astonishing array of hues, forms, and sizes, yet they all share a unique trait: a simple stomach sporting a solitary mouth encircled by tentacles armed with stinging cells.

1. Corals are .........

 a) Animals b) Plants

 c) Diatoms d) Plankton

 2. Corals belongs to which phylum?

 a) Protozoa b) Echinodermata

 c) Cnidaria

 3. The corals consists of a sac-like structure called .........

 a) Septa b) Polyp

 c) Haloclone d) Nephris

 4. ......... build reefs found in shallow tropical seas.

 a) Hermatypic corals b) Ahermatypes corals

 c) Both a & b d) None of these

 5. ......... per cent of the corals are located in the Indian ocean,Red sea and Persian Gulf.

 a) 30% b) 5%

 c) 10% d) 70%

Arid regions lie under the category of wastelands which are not being used to their fullest potential therefore, it almost barren. Hot arid regions are sparsely populated with human and animal population and experiences various biotic exploitation of the already very poor resources base. The scarcity of water poses biggest hindrance in limits the crop productivity as climatic factor. Yet, nature has bestowed the arid region fruits with characteristic qualities. Some fruit crops can grow successfully in such type of regions. Among these crops, cardia most suitable crop for cultivation under such type of arid climate. Some regional names of cordia are Pidar, Ponugeri, Maruvilli, Geduri, Spistan, Bhakar, Borla, Kalo Bohori (Nepali) etc. It is growing not only all over Asia but also nearly whole of the globe especially in tropical environment. In Indian sub-continent, it is growing from east Myanmar to west Afghanistan. It is grown in arid region and having numerous utilities. It is found in a variety of the forest of Rajasthan to moist deciduous forests of the Western Ghats and Tidal forest of Myanmar. In Maharashtra, it grows in moist monsoon forests also. In Rajasthan, its commercial plantations are being done in Pali, Sirohi, Udaipur, Jodhpur and Jalore districts.

Now, it is becoming popular as monoculture cultivation as well as under agroforestry system in arid region. It does not grow gregariously but is found growing singly in moist shady ravines and valleys. In areas with annual rainfall less than 500mm, it thrives along streams and depressions where moisture is available. The hot arid zone stretch 32 M ha or 0.32 million square kilometer long covering Rajasthan (62%), Gujrat (20%), Andra Pradesh (7%), Punjab (5%), Haryana (4%), Karnataka (3%) and Maharastra (0.4%). In these area fruits selection for cultivation must be cope up that their maximal growth period coincides with the period of water availability in the soil. Few of the xerophytes characteristics are: deeper root system, deciduous nature, reduced foliage, sunken of covered stomata, waxy coating or hairiness on leaf surface which minimize the evapotranspiration and makes plant adaptive to the hostile climate. These qualities are found in cordia plant which can grow in this area without any problem after management of some agro-techniques.

“Small is beautiful”, today we know that small is not only beautiful but also powerful. With the range of applications that nanoparticles find in varied fields of engineering and science, nanoparticles seem a promising option when compared to the conventional materials used. Nanoparticles are particles that have at least one dimension in less than 100nm range. They have a high surface to volume ratio and thus mass transfer and heat transfer properties are better than bulk materials. Recently; core/shell nanoparticles are finding widespread application. There is a class of core/shell nanoparticle that has its entire constituent in the nanometer range. Core/shell nanoparticles are nanostructures that have core made of a material coated with another material. They are in the size range of 20nm-200nm. Also, composite structures with these core/shell particles embedded in a matrix material are in use. The necessity to shift to core/shell nanoparticles is the improvement in the properties. Taking into consideration the size of the nanoparticles, the shell material can be chosen such that the agglomeration of particle can be prevented. This implies that the monodispersity of the particles can be improved. The core/shell structure enhances the thermal and chemical stability of the nanoparticles, improves solubility, makes them less cytotoxic and allows conjugation of other molecules to these particles. The shell can also prevent the oxidation of the core material. “When a core nanoparticle is coated with a polymeric layer or an inorganic layer like silicabecausethe polymeric orinorganiclayerwould endow the hybrid structure with an additional function/property on top of the function/property of the core hence synergistically emerged functions can be envisioned”.

Botany:Coriandrum sativum belonging to the family Umbelliferae. It is an annual soft shrub that attains a height of 1 to 3 feet. Leaves are in basal cluster varies from 3 to 15 cm in length and are oblong to ovate in shape. Leaflets are 1 to 2 centimeter in length and are ovate to round. Flower is of white color which can vary from light purple to creamish in color. These appear in umbles. Fruit is roundish in shape bearing color that varies from yellow to brown. It is tripped and gets divided in to two then crushed with fingers. The plant flowers and fruits in late winters.

Land Requirement: Land to be used for seed production of coriander should be free from volunteer plants

Varieties: CO 1, CO 2, CO 3, CO (CR) 4, GAU 1, UD 1, UD 2, UD 20 and UD 21

Soil: Well drained black cotton soil and red loamy soil. For rainfed cultivation soil should be clay in nature and the pH should be 6 – 8.Coriander performs well at a temperature range of 20 – 25 °C.

Climate: Cool and comparatively dry, frost free climate

1). Stem Gall
Diagnostic Symptoms
• Symptom appears in the form of tumor-like swellings of leaf veins, leaf stalks, peduncles, stems as well as fruits.
• Infected veins show a swollen hanging appearance to the leaves.
• Initially the tumors are glossy which rupture later on and become rough. They are about 3 mm broad and up to 12.5 mm long.
• Badly affected plants may be killed.
• In the presence of excessive soil moisture, especially under shaded conditions, when the stem fails to harden and remain succulent, the tumors are numerous (Fig-1).
Etiology
Scientific Classification
Kingdom : Fungi
Division : Ascomycota
Class : Taphrinomycetes
Order : Taphrinales

Coriander aphid: Hyadaphis coriandri: Aphididae

Coriander aphids are yellow-green in color, dusted with grayish wax. They have short, dusky, slightly swollen, siphunculi (or cornicles). The Aphids form dense, damaging colonies on leaves, heads, and stems of their host plants.

In its native land, Florida, USA, the life cycle of the coriander aphid is similar to that of other host-alternating aphids. Overwintering eggs occur on other hosts.  A fundatrix (or stem mother) hatches from the egg in the spring. Her offspring are parthenogenetic, and the winged-females are spring migrants. They colonize summer host plants in the family Umbelliferae.

1.0 INTRODUCTION
 
Coriander is a native of southern Europe and Asia Minor. In a treatise, Farrell (1999) has described coriander as indigenous to the Near East and Mediterranean region of North Africa and Southern Europe. According to early Sanskrit writings, coriander was known as far back as 5000 BC for its cultivation in India. Persia grew coriander 3000 years ago for adding fragrance to hanging garden of Babylon and seeds were found in Egyptian tombs of 960 BC. It has been used as an ingredient to traditional and folk medicine in the Middle East and Asia for more than 2000 years. There is archaeological evidence of coriander cultivation from Early Bronze Age in Macedonia (Fragiska, 2005)

The disease appears as tumour like swelling or galls on leaf veins, leaf stalks, peduncles, stems and on fruits. The galls on the vein give a swollen and hanging appearance to the leaves. These are elongated, looks glossy in beginning but later rupture to become rough and corky. When stems remain succulent, numerous tumours may form on them. In severe case, the plant may kill prematurely.

English name : Coriander
Botanical name : Coriandrum sativum L.
Family : Apiaceae
Chromosome number : 2n = 22
Centre of origin : Mediterranean region Coriander of commerce is the dried fruit of Coriandrum sativum L., an aromatic spice crop belonging to the Apiaceae (Umbelliferae) family. Coriander is an ancient flavouring agent documented in ancient Egyptian, Hebrew, and Roman literature dating as far back as 5000 BC. Its leaves, stems, and fruits have been utilized for culinary and medicinal purposes. The composition of coriander seeds includes 6.3% moisture, 1.3% protein, 24.0% carbohydrates, 0.3% volatile oil, 0.44% phosphorus, 1.2% potassium, 0.8% calcium, 0.02% sodium, and 0.006% iron. Additionally, they contain vitamins such as A (175 IU/100 g), B1 (0.26 mg), B2 (0.23 mg), niacin (3.2 mg), and vitamin C (12.0 mg). In contrast, fresh coriander leaves comprise 87.9% moisture, 3.3% protein, 0.6% fat, 6.5% carbohydrates, 0.14% calcium, 0.06% phosphorus, and 0.01% iron.

Etiology

A turkey coronavirus (TCV).

Hosts

Turkeys of all ages, but the disease is mostly observed in young turkeys (first few weeks old).

Abstract

The agriculture and allied sector provide livelihood for 58% of India’s population. A large population and rising disposable incomes are key growth drivers. Growing external demand has increased its contribution to exports. The demand for processed food has also led to increasing requirements for agricultural inputs, hybrid seeds, machinery and fertilizers. Investment opportunities in storage infrastructure and agrochemicals also present immense opportunities. Organised retail has made India attractive for multinationals. The industry has a combination of multiple organisational forms, like associations, co-operatives, government (departmental) undertakings, foreign entities, trusts and companies, private and public. Unlisted companies encompass a vast range (private limited companies, family business, group-owned firms, and joint ventures are major actors.) The form and complexity of business ownership highlights Corporate Governance (CG) debate. Given this background, our objective is to understand the CG characteristics of unlisted agricultural and allied companies operating in India, the driving forces for improving CG practices, and the need for a policy framework in supporting good CG. We propose to examine the extent of control in the various types of entities and explore the mechanisms that contribute to the development of an efficient CG framework. Using data from the Prowess database, on 2,879 firms, from 2012-2013 to 2016-17, we analysed how CG problems are caused and how it can be alleviated. The results provide stakeholders and agri entrepreneurs with an overview of the policy and managerial issues that arise in the debate on CG of companies in this key sector. Finally, we conclude how the unlisted companies are likely to stimulate growth and development if CG mechanisms are enhanced.

Introduction to Corporate Governance

Corporate governance encompasses the framework of rules, practices, and processes that guide the direction, control, and management of a company. It involves the interactions among various stakeholders, including shareholders, management, the board of directors, employees, customers, suppliers, and the community. Successful corporate governance is vital for a company's long term success and sustainability. It helps establish a framework for responsible decision-making, accountability, and transparency, which enhances investor confidence and protects the interests of stakeholders.

Introduction to Corporate Level Strategy

Corporate level strategy pertains to the choices and initiatives undertaken by a company's senior management to define the overarching direction and breadth of the organization. It entails making decisions regarding which industries or markets to engage in and how to distribute resources among various business units.

Scope of Decision-Making: Corporate level strategy concentrates on the entirety of the organization rather than individual business units or functional areas. It involves strategic decisions related to diversification, vertical integration, mergers and acquisitions, strategic alliances & resource allocation.

Purpose: The primary goal of corporate level strategy is to create value for shareholders by achieving a sustainable competitive advantage and maximizing the overall performance and profitability of the organization. It involves assessing the external business environment, identifying opportunities and threats, and leveraging internal capabilities to gain a competitive edge.

Diversification: One key aspect of corporate level strategy is deciding whether to pursue a strategy of diversification. Diversification can be either related (expanding into industries or markets related to the company's current business) or unrelated (entering completely new industries). The decision to diversify involves assessing the potential benefits, risks, and synergies associated with entering new markets.

Organizations Indebtedness Towards Society

The organizations in the present world operate as an open system by having ongoing interactions with the society for their existence and effective functioning. There is an interdependence between corporations and societies and as such, company’s activities have a direct impact on the communities with which they work.  As a part of such interactions, the organizations use valuable resources of the society, for producing goods and services, which are exchanged with the customers for a profit margin. Due to these exchanges, the business organizations take away the profits reflecting the debt they owe to the society and the world.

Abstract
Corporate Social Responsibility is one of emerging term now-a-days in the corporate arena. Sustainable growth is possible only when all sphere of the society is self sustained. Since the early 1990’s, corporate responsibility issues including social obligation of corporations have attained prominence in political and business debates. This is mainly in response to corporate scandals but also due to realisation that development centred only on economic growth paradigms is unsustainable and therefore there is a need for more pro-active roles by states, companies and communities in a development process aimed at balancing economic growth with environmental sustainability and social cohesion. Some people think sustainability is all about environmental issues. Others see it in terms of the bottom line. And then, of course there are the people who use the term synonymously with corporate social responsibility. CSR and Sustainable development are two different concepts having different traits. Corporate social responsibility (CSR) promotes a vision of business accountability to a wide range of stakeholders who are directly and indirectly dealing with corporate entities, besides shareholders and investors. Therefore, there is a need for evaluating the working of CSR on social sustainability. Besides, this paper try to identify the key areas of concern are environmental protection and the wellbeing of employees, the community and civil society in general, both now and in the future (by international institute for Sustainable Development),various issues and challenges faced by corporate bodies.

Seed yield is the foremost important attribute and is the end product of many complex component characters which singly or jointly influence the seed yield. Seed yield does not possess gene per se as such. It is the interaction phenotype of the harmonious understanding, mutual adjustment and manifestation of its component characters. As most of the component characters are polygenic, they are greatly influenced by the environment. So, the selection of genotypes based on yield as such is not likely to be effective. The information on the strength and direction of association of the component characters with seed yield and also among themselves will be very useful in formulating an effective breeding programme for seed yield improvement in a given time. Correlation studies provide about the magnitude and direction of genetic association between the seed yield and its component characters.

Correlation coefficients provide the measure of association between two characters. But, they do not provide the causal basis of such association. Further, correlation between seed yield and its component characters are often misleading due to the inter-relationship that exist among the component characters and the operation of size symmetry and component compensation that thwart the breeding progress. The direct contribution of each component to the seed yield and the indirect effects it has through its association with other components cannot be differentiated from mere correlation studies. This is how, it became necessary for a plant breeder to have information on the direct and indirect effects of these components on the seed yield to identify the key characters for improvement.

Correlation and regression are essential statistical tools for examining relationships among climate variables and agricultural responses. Correlation measures the strength and direction of association, while regression develops mathematical relationships for explanation and prediction. This chapter discusses their application to rainfall, temperature, humidity, evapotranspiration, crop growth and yield. It explains simple and multiple relationships, assumptions, interpretation, model fitting, predictive power and potential errors. These methods support crop-weather modelling, yield forecasting, climate-impact assessment and agricultural decision-making. By identifying how climatic variables influence biological and production processes, correlation and regression analysis help researchers generate reliable predictions and design more resilient and productive agricultural management strategies under changing environmental conditions.

10.1 Introduction

In previous lessons we have been dealing with problems connected with variation occurring in any one variable, say the income of a person, the height or weight of an individual, the wage of a worker in a factory, the sales of a shop, demand of a commodity etc.  The values of a single variable were obtained from every member of the population and the different characteristics were described by certain descriptive constants after grouping into frequency distribution.  In this lesson, we shall be dealing with problems wherein there are paired variables and every individual or member of the population exhibits two values, one for each of the variables under consideration.  Example of the two variables which are to be studies together are (i) the income and expenditure of a household, (ii) the price and demand or supply of a commodity, (iii) the height and weight of a student, and (iv) the grain yield and straw yield of paddy, (v) Height of father and height of son, etc.

Concept of correlation was given by Karl Pearson in 1890.

The study of strength and nature of relationship between two variables is called correlation. Two variables are said to be correlated, if the change in one variable affects the other variable. Correlation is also known as covariation.

Bivariate Distribution: Distribution involving two variables is known as bivariate distribution. For example, Height and weight of persons, yield and production of a crop in.

On basis of type of association between variables, correlation is of two types:

If x and y are related, we can study degree of relationship between them which is called correlation.

Y = f(x)=a+bx where y is a dependent variable and x is an independent variable. If x is known, y can be known.

X = f(y). Here x is a dependent variable and y is an independent variable or auxiliary variable.

6.1 Correlation

The term correlation indicates the relationship between two such variables in which with changes in the values of one variable, the values of the other variable also change. In short, the tendency of simultaneous variation between two variables is called correlation.

Correlation

In a statistical analysis, when two variables are studied simultaneously, then it is called “Bivariate study’. Now, in a bivariate study, if it is found that change in the values of one variable then in sympathy with the change in the values of other variable, then these two variables are said to be associated and the association is termed as correlation. In other words, the term correlation indicates the relationship between two such variables in which with changes in the values of one variable, the values of the other variable also change. In short, the tendency of simultaneous variation between two variables is called correlation.

Types of Correlation

Correlation can be classified by-

• Positive and Negative correlation: The correlation may be classified according to the direction of change in the two variables. In this regard, correlation may be either positive or negative. Positive correlation refers to the movement of variables in the same direction. Negative correlation efers to the movement of variables in the opposite direction.

• Simple, Partial and Multiple correlations: When only two variables are studied it is a problem of simple correlation. When three or more variables are studied simultaneously, it is a problem of multiple correlations. On the other hand, in partial correlation we recognize more than two variables, but consider only two variables to be influencing each other the effect of other influencing variables being kept constant.

• Linear and non-linear correlations: In linear correlation for every unit change in the values of one variable, there is constant change in the value of other variable. The perfect positive and negative correlations are also linear correlations. In non-linear correlation the change in the values of one variable does not have a constant ratio to the change in the other variable.

Correlation coefficient

We measure the degree of association between two variables by calculating Pearson’s product moment correlation coefficient, usually just called the correlation coefficient.

It was developed by Karl Pearson from a related idea introduced by Francis Galton in the 1880s, and for which the mathematical formula was derived and published by Auguste Bravais in 1844. In 1896, Karl Pearson published his first rigorous treatment of correlation and regression in the Philosophical Transactions of the Royal Society of London.

The linear correlation coefficient (sometimes called Pearson's Correlation Coefficient), commonly denoted, is a measure of the strength of the linear relationship between two variables.

• We say that we have perfect correlation if all the points lie on the line; in this case, the value of the correlation coefficient takes one of its extreme values, either +1 or −1 (Figure 7a and 7b).

• We have positive correlation if the sign of the correlation coefficient is positive; then there is a direct relationship between the two variables so that as one variable increases in value, the other variable increases (Figure 7a) or there is a tendency for it to do so.

• We have negative correlation if the sign of the correlation coefficient is negative; then there is an inverse relationship between the two variables so that as one variable increases in value, the other variable decreases (Figure 7b) or there is a tendency for it to do so.

• We have no linear association (i.e. the variables are uncorrelated) if the correlation coefficient is zero; then there is a random scatter of points with no indication of a linear relation between the variables (Figure 7c.). Note that a non-linear relationship between the variables can also give a correlation coefficient of zero.

Germination between M₁ and M₂ had a non-significant relationship in germination between M₁ and its corresponding M₁ progenies in M₂ (Table 27). Probably the reduction in the germination in M₁ might be very highly and significantly influenced by the conditions prevailing in germination and physiological disturbances that would be strictly associated in M₁ alone. Whereas the survival of the seedlings between M₁ and M₂ showed a strong positive relationship. The differential behaviour of the mutagens affecting germination and survival was also evident as discussed elsewhere.

However, seedling height on 10^th day sorted a differential relationship between M₁ and M₂. It was negative and non-significant. A non-significant relationship was exhibited for seedling height on 30^th day between M₁ and M₂ in all the doses. It may be interpreted that extent of physiological disturbances that occurred in the early stages and the extend of recovery mechanism that operated subsequently may be the major cause for this; not withstanding the haplontic and diplontic selection that operated in the biological system. Further the type of physiological disturbances happened, whether the enzyme systems affected or a substantial amount of toxic substances produced besides the genetical causes have not been studied in the present investigation. Moreover if the reduced growth was due to mitotic arrest in the meristamatic regions of the roots of M₁ plants, the disorder may not be completely inherited to its offspring’s (M₂ plants), in that sense selection at the cell level damages might occur in the M₁ itself and the selection for a cell with normal mitosis and extent of chromosomal damages that will be tolerated alone might be selected and hence the effect in M₁ need not be always related with M₂; it also depends upon the potency of the cell to recover from the mutagen induced damages. The ability of the cell in general, should be more in M₁ than in M₂ recover the disorder after several cell generations.

This chapter begins with an introductory overview, providing a basic understanding of correlation and its types. It guides readers through in-depth analysis using R, demonstrating how to apply these concepts practically.

Correlation

Correlation analysis is a statistical method used to evaluate the strength and direction of the relationship between two variables. This analysis is vital in identifying and understanding how variables are interconnected within a dataset, providing insights into their mutual influences.

Key aspects of correlation include

• Range of the correlation coefficientThe value of the correlation coefficient (“r”) falls within the range of −1 to +1.

• Independence from origin and scaleThe correlation coefficient (“r”) remains consistent regardless of any changes in the origin or scale of the variables.

• Unit independenceThe correlation coefficient is independent of the units of measurement

of the variables.

• Relationship with independenceWhile uncorrelated variables are generally independent, the reverse is not necessarily true; independent variables will always be uncorrelated.

6.1 Learning Objectives
After going through this chapter, you will be able to:
i) Understand the meaning, significance, and properties of correlation;
ii) Know the various types of correlation;
iii) Comprehend the computation process of various types of correlation;
iv) Appreciate the limitations of correlation.

6.2 Introduction

Correlation is a fundamental statistical concept that measures the degree of association or relationship between two or more variables. Correlation helps us to understand how changes in one variable correspond to changes in another. Correlation values range from -1 to 1; where -1 indicates a perfect negative correlation, +1 represents a perfect positive correlation and 0 suggests no linear correlation between the variables. The sign and magnitude of the correlation coefficient provide information about the strength and direction of the relationship between the variables. Correlation analysis is a multipurpose tool with various applications, such as identifying the strength of relationships between stock prices and market indices, assessing the impact of education on income levels, or determining the association between weather conditions and crop yields. Understanding correlation is essential for making informed decisions, drawing conclusions from data, and developing predictive models in numerous fields of study and practice.

In genetic studies it is necessary to distinguish two causes of correlation; is chiefly pleiotropy, though linkage is a cause of transient correlation, particularly in populations derived from crosses between divergent strains. Pleiotropy is simply the property of a gene whereby it affects two or more characters, so that if the gene is segregating it causes simultaneous variation in the characters as affects. For example, genes that increase growth rate increase both stature and weight, so that they tend to cause correlation between these two characters. The degree of correlation arising from pleiotropy expresses the extent to which two characters are influenced by the same genes. But the correlation resulting from pleiotropy is the overall, or net, effect of all the segregating genes that affect both characters. Some genes may increase both characters, while others increase one and reduce the other the former tend to cause a positive correlation the latter a negative one. So pleiotropy does not necessarily cause a detectable correlation. The correlation resulting from environmental causes is the overall effect of all the environmental factors that vary; some may tend to cause a positive correlation, others a negative one.

Introduction

Nucleotide and protein sequences construct the core of Bioiformatics. These biological sequences form complex and very large datasets. Various Statistical techniques have been used for analysis and extraction of precise information form small as well as large biological datasets. Evolution and natural selection makes biological sequences redundant and statistically biased. Once the mechanisms involved in such biases have been characterized, their analysis and systematic investigation become valuable tools for use in predicting the properties of other biological sequences. This biased nature results in relative codon usage value among the synonymous codons or Relative Synonymous Codon Usage (RSCU) value. Codon usage variation within a single genome can be an important source of information about gene expression levels and events of horizontal gene transfer (Medigue et al., 1991). The analysis of codon usage patterns can be traced back to when first molecular sequence databases were being colleted (Grantham et al., 1981). In order to evaluate the codon and amino acid usage variation, multivariate analysis options like Correspondence Analysis, Principal Component Analysis, Cluster Analysis, Factor Analysis, Multidimensional Scaling and Eigenanalysis Ordination are available (Morrison et al., 1994). It is well established that codon usage by its nature is multivariate. These methods provide a low dimensional point representation of genes, where the proximity of gene specific points indicates (CoA) a similar codon usage of associated genes. Correspondence Analysis is an exploratory graphical approach that requires contingency tables and generates results in the form of tables, scattered plots and graphs. CoA can identify the major sources of variation in the dataset. The output from a CoA can be used to evaluate other aspects of genes, such as base composition, expressivity, aromaticity and location on the genome (Thiouse et al. 1997).

Corynebacterium diptheriae was first observed by Klebs in 1883 and described in details by Loeffler in 1884. So it is also known as ‘Klebs-Loeffler bacillus’. In 1888, Nocard isolated a similar type of bacteria from cases of bovine farcy. In 1894, Preisz described it completely and revealed its similarities with the diphtheria bacilli. Latter it was named as Corynebacterium pseudotuberculosis (Preisz-Nocard bacillus). Bollinger (1890) first reported C. renale from the cases of pyelonephritis in cows. Magnusson (1923) first described C. equi (Rhodococcus equi) form suppurative pneumonia of a foal.

Properties of genus

1.   Morphology

Corynebacterium are gram positive, pleomorphic bacteria ranging from coccoid to filamentous rods. The size varies from 0.5-0.6 µm by 1.0- 3.0 µm. Some of the species appear as packets of parallel cells (palisade arrangement) or show ‘V’ shaped form (Chinese letter arrangement) in the microscopic field (Fig.1and Fig.2). The cell wall peptidoglycan contains meso-diaminopimelic acid (meso-DAP). The arabinose and galactose are major cell wall sugars. Short-chain mycolic acids (corynomycolic acids, 22–36 carbon atoms) are present. This kind of cell wall structure is impermeable to the hydrophilic compounds. However, the ‘porin’ present in the cell wall sometimes helps in import of the hydrophilic substances. Mycolic acid containing cell wall helps in intracellular survival within the macrophages. Corynebacterium is non acid fast, non-sporulating, non-capsulated and non-motile bacteria (except C. aquaticum)
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Cosmos is a flowering plant belongs to family Asteraceae. Cosmos bipinnatus is ornamentally important species grown for garden display. The word cosmos is derived from the Greek word “kosmos”, which means a balanced universe or order, harmony and often referred to as Mexican Aster. The species name is from the Latin “bipinnatus” meaning “twice-pinnate” The botanical epithet is from the Latin “pinnatus” meaning “with leaflets arranged in opposite pairs”. Cosmos flowers are produced in a capitulum. Modern varieties come with single or double flowers, picotee edges, and even furled petals in the variety Seashells. Ornamental uses of cosmos include cut flowers and as border annual in the gardens. It is a very popular flower for summer bedding. Cosmos has a pleasant aroma and attracts butterflies to the garden. Essential oil extracted from leaves of cosmos. The major constituent of C. bipinnatus contained 15-17% beta-elemene, 15-17% beta-caryophyllene, 10-21% germacrene D and 12-15% bicyclogermacrene (Menut et al., 2000).

Cosmos is a flowering plant belongs to family Asteraceae. Cosmos bipinnatus is ornamentally important species grown for garden display. The word cosmos is derived from the Greek word “kosmos”, which means a balanced universe or order, harmony and often referred to as Mexican Aster. The species name is from the Latin “bipinnatus” meaning “twice-pinnate” The botanical epithet is from the Latin “pinnatus” meaning “with leaflets arranged in opposite pairs”. Cosmos flowers are produced in a capitulum. Modern varieties come with single or double flowers, picotee edges, and even furled petals in the variety Seashells. Ornamental uses of cosmos include cut flowers and as border annual in the gardens. It is a very popular flower for summer bedding. Cosmos has a pleasant aroma and attracts butterflies to the garden. Essential oil extracted from leaves of cosmos. The major constituent of C. bipinnatus contained 15-17% beta-elemene, 15-17% beta-caryophyllene, 10-21% germacrene D and 12-15% bicyclogermacrene (Menut et al., 2000).

ORIGIN AND DISTRIBUTION

Cosmos is native to scrub and meadowland in Mexico where most of the species occur, Florida and the southern United States, Arizona, Central America, and to South America in the north to Paraguay in the south.

It can also be found in natural areas in much of North America, where it is a garden escape (introduced species) and in some habitats becoming a weed. Cosmos sulphureus originates from Central America (Mexico) and northern South America, where it is still found in the wild. It has been introduced as an ornamental in many countries all over the world, in tropical Africa e.g. in Senegal, Cameroon, Sudan, Tanzania, Malawi, Zambia, Zimbabwe, Mozambique, Réunion and Mauritius. Sometimes it has escaped from cultivation and behaves like a weed, e.g. in Tanzania, Malawi, Zimbabwe, the United States and Canada. Cosmos caudatus is indigenous to tropical America. It was introduced by Spaniards into the Philippines, possibly because it was used by them as a vegetable at sea. Now it is pantropical, including Southeast Asia, where it is cultivated but also occurs in a naturalized state.

Abstract: Cosmos, popular as garden annual in many parts of the world, has its origin in Mexico. Cosmos is cross pollinating and progeny can segregate widely for traits due to heterozygosity. Self and cross incompatibility, self and intersterility, limited fertility, reproductive barriers and seed sterility often pose significant challenges to breeders. The breeding objectives include development of suitable indoor plants, less susceptible to powdery mildew and more tolerant to abiotic stress. The biotechnological skills can be attempted in breeding.

Keywords: Breeding, self incompatibility, sterility, hybrid seed production.

12.1 Introduction

It is important to note that growing crops in a greenhouse requires a significant f inancial and administrative commitment. In order to ensure profitability, firms need to consider both cash flow and profitability. An enterprise budget can help address profitability potential by itemizing costs incurred across a typical production cycle. On the other hand, a cash flow budget is used to analyze the cash inflows and outflows of the enterprise over a fixed period of time.

efficiency, and support strategic decision-making. When integrated with data analytics, cost analysis becomes more precise, data-driven, and adaptable, allowing firms to optimize resource allocation and enhance profitability. The process begins with the collection and classification of cost data. Costs are typically categorized into fixed, variable, and semi-variable components. Fixed costs remain constant regardless of production levels, while variable costs fluctuate with output, and semi-variable costs exhibit characteristics of both. Data analytics tools assist in organizing and cleaning large volumes of financial data from accounting systems, ensuring accuracy and consistency. Proper classification is essential, as it forms the basis for meaningful cost analysis and modeling.q

7.1 Investment Analysis for Agribusiness Projects

Financeis the Art and science of managing money. Financial Management is the manage rial activity concerned with the planning and controlling of the firm’s financial resources. Finance can be classified as Public finance, Private finance (Personal & Business), and finance for Non-Profit organizations. The objectives of financial management are Profit Maximization and Wealth Maximization.

The Cash flow is the net amount of cash and cash-equivalents moving into and out of a business.The types include Operating Cash Flows, Investing Cash Flows and Financing Cash Flows. Annuity cash flows are a series of periodic cash flows of equal amount. The time value of money is the change in the value of money as a result of change in the time duration. They are broadly classified into Future Value of Money and Present Value of Money.

Capital Budgeting is long-term planning form aking and financing proposed capital outlays. It is the process of making investment decisions in capital expenditures. The influential factors ofCapital Budgeting are Urgency, Degree of certainty, Intangible factors, Legal factors, Availability of funds, Future earnings, Obsolescence, Cost considerations, R&D projects and Competitivepressure.

Problem: Cost of cultivation depending upon the seed and time. More yields can be obtained during right time of sowing, but net profit is very less due to the glut in the market. We can get more return from early or late sown crop during both the season due to the high cost in the market.

Theory of Costs

In both short-run and long-run analyses, there exist different cost curves.

Short run is the duration of a given factor or factors. Equipment and business owners are typically fxed in the near term

Long run is the period over which all factors become variable.

Fixed costs: are those expenses that remain constant regardless of output or production levels.. Eg: depreciation, annual maintenance cost etc.

Variable cost: are those expenses that change depending on the volume of output eg : inputs/raw material costs, wages etc.

Short Run Cost Curves

There are seven cost concepts or curves in short run analysis. They are :

1. Total cost (TC)
2. Total Fixed cost (TFC)

There are different types of greenhouses, the low cost and high cost or low technology or high technology greenhouses. The cost of greenhouse and expenditure on crop production under these greenhouses would vary according to technology to be used and the crop is to be produced. The cost would vary from place to place with location of greenhouse. For each type of greenhouse its cost would vary according to geo-climate, the production practices and input expenditure/availability. The cost of construction of greenhouse in 2019 hence varies from Rupees 500 to 6000 per square meter.

Cost estimation is a critical step in the planning and implementation of conservation structures, providing a foundation for project approval, budgeting, and economic evaluation. For drop spillways—hydraulic structures used in soil and water conservation—the process involves calculating all expenses associated with materials, labor, and ancillary charges.
Drop spillways are engineered to safely transport excess runoff from higher elevations to lower ground levels, preventing erosion and structural degradation. Commonly used in agricultural watersheds, these structures play a vital role in controlling gully erosion, managing stormwater, and maintaining land productivity.
Accurate cost estimation includes:
• Quantifying construction materials such as concrete, masonry, reinforcement bars, and pipe outlets.
• Calculating labor costs based on the skilled and unskilled labor required for excavation, form, and structural assembly.
• Adding overhead charges, including land revenue, administrative costs, and potential audit expenses.
A detailed cost estimate ensures that the project remains within budget while meeting safety, durability, and environmental standards. It also aids in comparing alternatives and securing funding or approvals from governing agencies.
COMPONENTS OF A DROP SPILLWAY
Estimating the cost of different conservation structures involves analyzing both material and labor expenses specific to each type of structure. This process plays a vital role in project approval and economic assessment. It includes calculating material quantities, labor charges, and additional costs such as audit fees and land revenue.

Aim

To determine cost of operation of processing machineries with available data.

Total operation cost

For calculation of cost of operation of processing machineries, two types of cost viz., fixed cost and variable cost to be estimated.

13.1. Introduction
Knowledge regarding various relationships existing between costs and output is necessary to comprehend the concepts of equilibrium conditions of different firms under different market conditions. Basically we require data on output, fixed costs, variable costs and the prices of inputs and outputs. From this data we finally derive all the seven cost concepts, viz.,TFC, TVC, TC, AFC, AVC, AC and MC. These cost concepts would have implications for output expansion of the firms and equilibrium position of the firms in different time periods. In the cost theory, economists use different names for cost concepts under different context. They are money costs or nominal costs, real costs, opportunity costs, economic costs, implicit costs, explicit costs, deflated costs, social costs, short run costs, long run costs, separable costs, etc.
Nominal Costs or Money Costs
These are usually expressed in money terms at current prices. Nominal costs of production refer to per unit cost of production of output at current market prices.
Real Costs
When the costs of inputs and input services are expressed at constant prices they become real costs.