eChapters

Technology transfer is an important commercial tool for leveraging and optimizing the value of intangible assets in the present era of globalization which has deepen the process of integration of the economic resources including the free movement of goods, merchandise, services, capital and intellectual property rights. This economic integration is facilitated by a legal framework of World Trade Organization (WTO) under various agreements including the Trade Related Aspects of Intellectual Property Rights (TRIPS). There are other International Institutions i.e., World Intellectual Property Organization (WIPO), World Customs Organizations (WCO) and United Nations Conference on Trade and Development (UNCTAD) to regulate and provide guidance for the protection and enforcement of IPRs. The present global economy is geared and triggered by knowledge and almost 80 % of the global wealth comes from knowledge based intangible assets and helps optimization of the limited global resources. Technology transfer is a tool for leveraging the value of IPRs and also for sharing knowledge around the world. Knowledge is weightless and in today’s era, knowledge is driven by Information and Communication Technology (ICT) which adds to productivity in all aspects of economic life.

The term “Technology transfer” broadly connotes transfer of knowledge from one legal entity to another legal entity within and outside the national territories of the legal owner of the Patent holder at a consideration, known as license fees or technical fees or royalty. This may happen as a part of Foreign Direct Investment (FDI) or as a part of pure technological collaboration. In other words, Transfer of Technology (TOT) and Technology Commercialization allows the transfer of the technology by a patent holder to a user for further development and exploitation of the technology into new products, processes, applications, material or services. Patent provides an exclusive right to the patentee to exclude others from using an invention without his consent and the technology transfer is the process to include the licensee as the legal user without infringing the rights of the patentee. The exclusive right granted to a patentee is the right to prevent others from making, using, selling, or distributing the patented invention without his permission. The technology transfer allows the user to use the patented technology with the consent of the patent holder.

Q1. Fill in the blanks with appropriate answers.

1. India ranks …first…. position in cattle population in the world.

2. India ranks … first …. position in buffalo population in the world.

3. India ranks … first ……. position in total milk production in the world.

4. …Buffalo…….. species produce the highest amount of milk in India.

5. Frieswal cattle is a cross of …Holstein Friesian….and ……Sahiwal…

6. Mehsana buffalo is a cross of …Murrah….and ……Surti……

7. India ranks … first …. position in goat population in the world.

Background

Sheep and goats are the poor man’s cow because of the lower capital investment, and production costs. Also supplies milk quantities that are suitable for immediate household consumption thereby reducing problems of milk storage and marketing. Small ruminants, goats and sheep, mainly localized in the arid, semi-arid and mountainous areas of the country, have multi-faceted utility in terms of wool, meat, milk, skins, (mo)hair/pelts, manure and have also acquired socio-cultural niches in many communities (Kosgey and Okeyo, 2007). Goat and sheep milk has many advantages over other livestock species’ milk being easy in digestion, non-allergic, naturally homogenized, improves immunity as it has antifungal and anti-bacterial properties. However, rearing small ruminants for meat is more popular among farmers as price of chevon and mutton are very high, continuously increasing over the years and sale of male for meat is easy, steady and accessible at farmer’s place or local places unlike milk, skin and fibre. Thus, small ruminants (SR) occupy a promising agrarian and economic niche in low to medium input production systems, not suitable for growing crops and dairy farming (Devendra and Chantalakhana, 2002), mostly driven by small and marginal farmers and landless laborers. Their meat and milk production represents 4.8% and 3.4% of the total meat and milk produced, respectively, in the world.

7.1 Learning Objectives
After comprehending this unit, we will be capable to:
i) Understand the conception of regression;
ii) Appreciate the significance of regression;
iii) Understand the difference between regression and correlation;
iv) Know about the regression lines;
v) Anticipate the difference between simple regression and multiple regression.

7.2 Introduction

Correlation is followed by linear regression. Regression is applied for forecasting the value of an unknown variable with the help of a known variable. The forecasted variable is called the dependent variable. On the contrary, an independent variable is used for forecasting the value of a dependent variable. If you desire to know, for instance, if exam achievement can be anticipated based on review time, whether cigarette consumption can be predicted based on smoking length, and so on, you may use linear regression. You must utilize multiple regressions if we deal with more than one independent variable rather than simply one.

10.1 Learning Objectives
After reading this chapter, you will be able to:
i) Understand the concept and types of hypotheses in hypothesis testing;
ii) Differentiate between one-tailed and two-tailed tests and recognize their applications;
iii) Grasp the implications of Type I and Type II errors in hypothesis testing;
iv) Explore the significance level and its connection to confidence limits;
v) Understand the concept of degrees of freedom in hypothesis testing;
vi) Familiarize yourself with the stepwise approach to hypothesis testing for effective application.

10.2 Introduction

In this chapter, we explore the fundamental concept of hypothesis testing, a cornerstone in statistical analysis. We begin by exploring the nature of hypotheses and their types, distinguishing between one-tailed and two-tailed tests and understanding their respective applications. We then explain the intricacies of Type I and Type II errors, crucial pitfalls to avoid in hypothesis testing. Additionally, we probe into the significance level, its relationship to confidence limits, and its role in determining the strength of our conclusions. Furthermore, we explain the concept of degrees of freedom, an essential factor in hypothesis testing that affects the reliability of our results. Finally, we guide you through a stepwise approach to hypothesis testing, ensuring a comprehensive understanding and effective application of these concepts in practical scenarios. Through this journey, you will not only grasp the mechanics but also appreciate the profound impact of hypothesis testing in drawing meaningful conclusions from data in our data-driven society.

Introduction

Saffron is a naturally derived plant product from the dried stigma of the Crocus sativus flower  (Gresta et al., 2009).The saffron (Crocus sativus L.) is an Iridaceae family member, herbal perennial, sterile (2n=3x=24) geophyte, traditionally propagated by vegetative corms. Its cultivation dates back to late Bronze Age in the Mediterranean region (Negbi, 1999) in Anatolia since the ancient times (Arslan et al., 2007) and for at least 3500 years in Egypt and Middle East. Saffron contains more than 150 volatile and aroma yielding compounds. The chemical components mainly include carotenoids, crocin, picrocrocin, safranal etc (Abdullaev, 1993, Tarantalis et al., 1995, Karaoglu 
et al., 2007). Saffron is mostly used as spice, food colorant, dye or perfume. The dried stigmas introduce unique color, taste and fragrance and thus making it the world’s most expensive spice (Baghlian et al., 2010). Saffron has been used in folklore herbal medicines for centuries (Basker and Negbi, 1983).

Chromosome number and nuclear DNA amount are important biodiversity characters together provide a very powerful method for determining evolutionary relationships. Furthermore provide an estimate of relatedness between species that in turn suggest reasons underlying the success or failure of crosses, even for interploidy hybridization. It is expected that species that are cytogenetically most similar will be easiest to hybridize and produce viable interspecific offspring (Thomas, 1993). Hence, it is important to study karyotypes and other characters of the genome of the species involved in a breeding programme.

According to Jackson (1971) and Stebbins (1950) the karyotype is the phenotypic appearance of the somatic chromosomes in contrast to their genic content.

Introduction

Microbes (bacteria, archea and eukarya) are single celled organisms that rule the planet. Microbes occupy every possible niche, from the high atmosphere to the deep ocean, from hot springs to artic ice, from hot deserts to deep forests including many regions that cannot yet be accessed for study. The biosphere contains between 1030 and 1031 microbial genomes, which is about 2-3 times more than the number of plant and animal cells combined (67). In fact, studies have shown that microbes associated with the human body are about ten times more than the number of human cells (5).  Microbes play a critical role in the life cycle of all living organism and environment in general.  Some microbes cause disease, but the most of them are either innocuous or play a role in physiology and cellular response including immune response, digestion and vitamin production of various organisms.

Since the dawn of the Industrial Revolution, mankind has been introducing numerous hazardous compounds into the environment at an exponential rate.  Environmental pollutants have become a major global concern. The modern growth of industrialization, urbanization, modern agricultural development, energy generation, have resulted in indiscriminate exploitation of natural resources for fulfilling the human desires and need, which have contributed in disturbing the ecological balance on which the quality of our environment depends.
 
Technological revolution has brought new changes in products and processes in industry. The waste generated from the development of products and processes are of concern to the environmental list. A variety of pollutants such as heavy metals, xenobiotics, polycyclic aromatic hydrocarbons (PAHs), chlorinated and nitro-aromatic compounds are found to be highly toxic, mutagenic and carcinogenic for living organisms (Zhang and Bennett. 2005; Samanta et al., 2002).

1. Introduction:- Understanding Good Laboratory Practices (GLP)
1.1 Definition and Core Principles of GLP
The Organisation for Economic Co-operation and Development (OECD) defines Good Laboratory Practice as “a managerial quality control system that governs the organizational process and the conditions under which non-clinical health and thus, environmental safety studies are well planned, executed/ performed, vigilantly monitored, properly recorded, reported, and finally archived”. This definition highlights that Good Laboratory Practices (GLP) is a comprehensive framework focused on ensuring the quality and integrity of the entire study lifecycle, rather than dictating the scientific validity of the research itself. The primary goal of GLP is to ensure process integrity and data traceability, which are essential for the regulatory acceptance of safety data for a variety of products. These products include pharmaceuticals, pesticides, cosmetics, veterinary drugs, food additives, feed additives, and industrial chemicals, all of which undergo non-clinical testing to assess their potential health and environmental risks. It is important to note that GLP principles specifically apply to these non-clinical studies and exclude research involving human subjects. The OECD Principles of GLP are internationally recognized and serve as the basis for GLP regulations in numerous countries worldwide. These principles outline the responsibilities of key personnel involved in non-clinical studies, including test facility management, the study director, study personnel, and quality assurance personnel. Furthermore, they establish minimum standards concerning the suitability of facilities and equipment to perform studies, as well as the necessity for comprehensive Standard Operating Procedures (SOPs) to guide all aspects of laboratory operations. The core principles of GLP encompass a wide range of elements critical to ensuring the quality and integrity of laboratory studies. These OECD principles of Good Laboratory Practices (GLP) include: the proper organization team and personnel staff members within the testing facility, the well establishment of a robust quality assurance programme, the better suitability and proper maintenance of various necessary facilities, the efficient management of apparatus, materials, and reagents, the characterization and control of test systems, the handling of test and reference items, the development and adherence to Standard Operating

Introduction
DNA barcoding is a molecular technique that uses a short section of DNA (genetic marker) extracted from a standardized region of tissue to identify it as belonging to a particular species. A desirable locus for DNA barcoding should be standardized and that should present in most of the taxa of interest and sequencable without species-specific PCR primers. A large database of sequences for the desirable locus needs to be developed. The desirable locus should be short enough to be easily sequenced with current technology, and provide a large variation between species yet a relatively small amount of variation within a species. Although several loci have been suggested, but the mitochondrial Cox1 became a gene of choice for animals and many other eukaryotes. However, the DNA regions that are being used are chosen to optimize the resolution for their specific experimental purposes.

Introduction

Carbohydrates, the aldehyde/ ketone derivatives of the higher polyhydric alcohols, or compounds that yield these derivatives on hydrolysis, constitute of mainly four groups viz. monosaccharides, disaccharides, oligosaccharides and polysaccharides. Energy comes mostly from carbohydrates, and products of their degradation are also used for the synthesis of other substances including fatty acids, cholesterol, amino acids etc They are also components of compound lipids, conjugated proteins, and some of their derivatives can even function as medications (e.g., cardiac glycosides, etc). Disorders such as glycogen storage disorders (GSDs) and galactosemia can be brought on by an inherited lack of certain enzymes in the metabolic pathways of various carbohydrates. Diabetes mellitus is characterized by disruption of the metabolism of glucose.

In ruminants, the end products of digestion are largely volatile fatty acids viz. acetic acid, propionic acid and butyric acid and some monosaccharides. As they pass through the ruminal epithelium, they undergo different degrees of metabolism. The fate of volatile fatty acids are as follows: Acetate as precursor to Acetyl CoA (TCA cycle; fat synthesis); Propionate as precursor to glucose (glycolysis; milk lactose) and Butyrate as precursor to Acetyl CoA (TCA cycle). All the digested and absorbed monosaccharides and volatile fatty acids enter into the liver, where two mechanisms operate such as withdrawal of carbohydrates from blood (e.g. glycogenesis; glycolysis etc) and release of glucose by liver to blood (e.g. glycogenolysis; gluconeogenesis etc). In case of monogastrics, the processes of digestion/ fermentation of carbohydrates especially occur in the small intestine. The fate of absorbed glucose and metabolic conversions in the animal body mainly comprise of storage as glycogen in liver and muscle (small amount); oxidation of glucose for providing energy (via Glycolysis pathway; other alternative pathways such as Hexose Monophosphate Pathway (HMP)/ HMP Shunt and Uronic acid pathway etc) and fat synthesis as well as storage in the form of fat in adipose tissue.

Introduction

Biochemical techniques are fundamental tools that allow scientists to investigate the molecular intricacies of biological systems, including DNA, RNA, and proteins. These techniques are essential for understanding cellular processes, genetic functions, and disease mechanisms. By employing biochemical methods, researchers can dissect complex biological systems at the molecular, cellular, and genomic levels, paving the way for advances in basic biology and therapeutic interventions.

A Overview

Genetics is a branch of biology concerned with heredity and variation.

Genes are the unit of inheritance and are composed of DNA.

The effects of genes are noticeable at the molecular, cellular, family, and population levels.

Genes are DNA sequences that instruct cells to produce particular proteins, which in turn determine traits.

Genes can exist in more than one form and the variants of a gene arise by mutation.

An allele is a variant of a gene that alters its expression in a detectable way. Alleles can be dominant or recessive.

A polymorphism is a particular sequence of DNA that varies in one percent or more of the population.

Single nucleotide polymorphisms are single base pair sites that differ among individuals.

Chromosomes consist of genes and associated proteins.

The human genome consists of 22 pairs of autosomes and one pair of sex chromosomes.

A karyotype is the photographic catalog of the human chromosomes.

Specialized cells and tissues arise by differentiation from the stem cells of the early embryo.

Pedigree diagrams enable recessive and dominant traits to be followed through multiple generations of a family.

A gene pool is the collection of alleles in a population.

Comparative genomics is leading to a more detailed and subtle understanding of evolutionary relationships among species

Uses of Microorganisms in Biotechnology

Somatostatin was the first human peptide hormone produced by recombinant bacteria

Many important medicines are produced by recombinant microorganisms

Bacterial species can be used as biological control agents

The release of recombinant microorganisms into the environment is sometimes controversial

Microorganisms can reduce environmental pollutants

The aim of mating systems are either to increase or decrease the homozygosity of the progeny compared with the parents or in some cases, to maintain the degree of homozygosity unchanged. This aim constitutes the basis of the following classification of mating systems:

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

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

Metabolomic research depends on analytical technologies capable of detecting and characterizing large numbers of chemically diverse metabolites. This chapter introduces the principal analytical platforms used for metabolite analysis, with emphasis on mass spectrometry and nuclear magnetic resonance spectroscopy. Gas chromatography–mass spectrometry, liquid chromatography–mass spectrometry, capillary electrophoresis–mass spectrometry, and NMR are examined in relation to metabolite separation, identification, and quantification. The chapter also considers sample preparation, analytical workflows, advantages and limitations of different platforms, and complementary approaches for achieving broader metabolome coverage. These techniques provide the analytical foundation for metabolic profiling, biomarker discovery, pathway analysis, and systems-level biological investigations.