eChapters

Animal husbandry programmes have been run through the State schemes. Each State has to evolve its own breeding policy deciding on choice of breed, cross breeding strategy, optional mixture of animals of different breeds required, breeding goals in terms of expected genetic progress to be achieved, specific breeding programmes and the control measures that should be adopted to achieve the desired genetic gains in the population.
General parameters in the breeding policy formulated by various States are
• Indigenous milch breeds such as Shaiwal, Red Sindhi and Gir, should be selectively developed for dairy traits in their native tracts.
• Indigenous dualpurpose breeds such as Hariana, Tharparkar, Rathi, Kankrej, Gaolao, Ongole Deoni etc. should be developed selectively in their native tracts for dairy and draft traits.
• Indigenous draft breeds like Kangayam, Hallikar, Khillari, Amrit Mahal etc. should be developed selectively for draft traits in their native tract.
• Non-descript cattle will be bred with exotic semen to produce cross breed with Holstein Friesian or jersey and maintaing 50% exotic impenitence. In some States Red Sindhi, Tharparkar and Hariana have also been used upgrading non-descript cattle.
• Development of indigenous breeds
• To develop indigenous breeds Government of India has initiated three schemes namely National Project for Cattle and Buffalo Breeding, Central Herd registration scheme, Central Cattle Breeding Farms.
• Central Herd Registration Scheme
• For identification and location of superior germplasms of cattle and buffaloes, propagation of superior genetic stock, regulating sale and purchase, help in formation of breeders societies and to meet requirement of indigenous bulls in the different parts of the country. Government of India

Animal breeding data is unique in terms of volume, statistical analysis, type of information required etc. The large volume of data extended spatially and temporally warrants additional tools in the form of databases to handle data and enable accuracy, retrieval, efficient utilization and adaptability to software. This chapter explains the nature of animal breeding data and the importance of databases with examples and explanations.

Animals are raised for some utility including meat, milk, hide, wool etc., and efforts are on to continuously improve the quality and quantity of these products. Some of the important economic traits in this regard were already discussed in earlier chapters. Record maintenance is primary for decision-making with respect to the selection of animals. The details of record maintenance including the format of registers are already explained in chapter 2. Apart from the actual information required for economic traits, pedigree information forms an important part of animal breeding data.

Biodiversity, coined by W. G. Rosen in 1985, is the variety of life on Earth. It is the occurrence of different kinds of organisms and the complete range of varieties adapted to different climates, environments and areas being constituents of food chains and food web of biotic interrelationship. Biodiversity refers to totality of genes species and ecosystems of a region. Biodiversity differs from place to place. Biodiversity is the biological wealth of world.

There is continuous depletion of biodiversity due to increasing population resources consumption, urbanization and pollution. The basic reason for concern is that biodiversity is being lost even before it attains its size. Loss of biodiversity would check evolutionary capability of biota to cope up with environmental loss.

Correlations and regression are important components of animal breeding analysis. The genetic correlation is an important genetic parameter that is useful in the planning of breeding programs involving multiple traits. In this chapter, the basic concepts of correlation and regression including method of estimation, assumptions and test of significance are presented. An example using SPSS software is also given at the end for better understanding.

Estimation of variance is primary for any breeding program as all the genetic parameters are dependent on these estimates. The properties of an estimate, their assumptions, type of data, availability of data, and computational requirement make it important to understand the method of estimation of variance components so as to make a wise choice that would suit the breeder’s requirement. This chapter explains the methods of estimation of variance with merits and demerits of each and the reader could use these as a guide to choose the right method of estimation.

The genetic parameters are the basis for any animal breeding program and the important parameters such as heritability, repeatability and genetic correlation are ratios of (co)variances and their reliability depends on the accurate estimation of variance components. Estimates of variance components are used extensively in animal breeding.

4.1 Phases of technology transfer
To translate laboratory research into market ready product, it is important to understand steps or phases involved in this technology transfer process. The process typically includes six main phases, each with a different role (figure 9).
4.1.1 Research
Technology transfer begins with research, the critical stage of exploring and discovering novel knowledge, technologies, or innovations that may have potential commercial applications. The research phase can occur in academic institutions, research organizations, or private sector companies, often funded by public or private sources. Thorough research ensures that the technologies being transitioned are scientifically and technically robust, thereby increasing their potential for market success. Therefore, the research phase involves creating and evaluating new ideas, confirming their feasibility, and identifying IP prospects, all of which are key components of TT success.
4.1.2 Innovation disclosure
Innovation disclosure is the first formal step where the innovation is reported to the appropriate TTO or IP management team. This process ensures that the institution or organization recognizes the innovation and evaluates its potential for protection and commercialization. It includes following information:

Diagrams and graphs are the effective and attractive ways of presenting data. Widely used diagrams for data presentation are pi chart and bar diagrams. Bar diagrams are also of various types; (i) Simple bar diagram (ii) Component or sub-divided bar diagram (iii) Multiple bar diagram (iv) Percentage bar diagram. The widely used graphical presentation are histograms, frequency polygon and frequency curve.

There are numerous libraries to create charts and graphs in R programming language.

Pie-chart- A pie-chart is a representation of values of variable as sectors of a circle with different colours/shadings. The colours/shadings used for different sectors are indexed at the side of the graph. pie() function is used to create pie chrt in R.

Let us create an exel file names as ‘exp_sports’ which contains the expenditure made (in Rs.) under various sports in a sports club. The name of the sports are cricket, hockey, tennis and football. The names of sports are placed under the column head ‘sports’. The corresponding expenditure (in Rs.) are 7200, 3600, 1800, 1800 and they are placed under the column head ‘expenditure’.

The basic syntax for creating a pie-chart using the R is.

Stem cell research is one of the most important and promising areas of research in biological science in recent times. The stem cell technology has revolutionized modern biology. It is playing a major role for improving human as well as animal health by controlling number of incurable degenerative diseases and restoration of damage to organs via transplantation therapy. Stem cells are a specific group of cells that remain in an undifferentiated state and can be found in embryos, fetuses and adult individuals. Stem cells are primitive, undifferentiated cells present in almost every tissue that have the ability to differentiate into different types of tissue like bone, tendon, ligament, cartilage etc. Bone marrow stem cell is the ideal stem cell that is unspecialized and can undergo lineage specific differentiation into bone or blood cells under different signals or environment with new special function. Several verities of stem cells have been isolated and identified in vivo and in vitro. The two broad types of mammalian stem cells are embryonic stem cells that are found in blastocyst, and adult stem cells that are found in adult tissue, bone marrow.

1.1    General Introduction, History, Ownership of Tangible and Intellectual Property
    
1.2    Patentable Subject Matter
    
1.3    Basic Requirements of Patentability
    
1.4    Novelty, Public Domain, Obviousness and Non Obviousness
    
1.5    Inventive Step (Non-Obviousness) and Industrial Application

Mesenchymal Stem Cells

Recent advances in the field of regenerative medicine have opened up newer therapeutic modalities using cell-based and cell-free therapies, particularly stem cells, as potential candidates. As per the definition, stem cells are the undifferentiated progenitor cells that can regenerate and can also differentiate into various specialized cells (Hoang et al., 2022). They can be classified as embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs) and postnatal adult stem cells (Locke et al., 2009). Among postnatal adult stem cells, mesenchymal stem cells (MSCs) have emerged as a popular choice of candidate for therapeutics due to the relatively easy availability, simple isolation techniques, low risk of teratogenicity, minimal ethical and legal concerns unlike embryonic stem cells, hence, are easy to apply in clinical research and practice (Voga et al., 2020). Among MSCs of different origin, bone marrow and particularly adipose tissue-derived stem cells (ADMSCs) received more attention and are one of the most common and promising stem cell types. These cells can be simply obtained from subcutaneous and omental fat or liposuction aspirates for the treatment of diverse clinical applications (Kim &Heo, 2014). These cells can also be expanded vigorously in vitro and differentiated into specific cell lineages such as adipocytes, osteoblasts, chondrocytes, and neurocytes and are even genetically stable in long-term cultures (Miana& González, 2018). Mesenchymal stem cells (MSCs) are multipotent progenitor cells possessing self-renewal ability (limited in vitro) and differentiation potential into mesenchymal lineages, according to the (ISCT) International Society for Cell and Gene Therapy (Dominici et al., 2006).

The full name of an organism technically has eight terms. For the dog it is: Eukarya, Animalia, Chordata, Mammalia, Carnivora, Canidae, Canis, and lupus. Notice that each name is capitalized except for species, and the genus and species names are italicized. Scientists generally refer to an organism only by its genus and species, which is its two-word scientific name, or binomial nomenclature. Therefore, the scientific name of the dog is Canis lupus. The name at each level is also a taxonomy Carnivora is the name of the taxon at the order level; Canidae is the taxon at the family level, and so forth. Organisms also have a common name that people typically use, in this case, dog. Note that the dog is additionally a subspecies: the “familiaris” in Canis lupus familiaris. Subspecies are members of the same species that are capable of mating and reproducing viable offspring, but they are separate subspecies due to geographic or behavioural isolation or other factors. Dogs, which are under the species Canis lupus familiaris, are known to have a total of 78 chromosomes (2n). The diploid genes can be classified into 38 pairs with two sex chromosomes.

“Necessity is the mother of invention”, all of us must have heard this statement at some juncture in our lives. Most of us may even have even gone through the motion of inventing something when needed. However, more and more inventions happening today may not necessarily be necessities. These inventions definitely perform the task of improvingand making convenient our overall living environment. Past few years have seen an increasing awareness and understanding in the field of intellectual property. Among all aspects, one aspect of intellectual property that is gaining increasing attention of intellectual property owners is management of the intellectual property rights.

This brings to our minds one question, how was intellectual property management practised by early mankind? We all do know that early mankind has left no stone unturned to make theabove statement”Necessity is the mother of invention”, a reality. Mankind prospered by leaps and bounds on account of sharing their various discoveries and inventions. Way back then knowledge was meant to be shared, as aptly captured in the Sanskrit Sloka:

True/False

Q.1.    Qualitative or categorical data are frequently collected in medical investigation.
Q.2.    Qualitative variables may be, e.g. sex, blood type, treatment, groups, classification of exposure or disease and patients survived or not.
Q.3.    Qualitative variables include the grouped quantitative variables such as age groups of mothers, pre term babies, birth weight groups, 
hypertensive or normotensive etc.

True/False

Q.1.    The most fundamental assumption for “Parametric inference” is that the random sample drawn is from “Normal” population.
Q.2.    The most fundamental assumption of “Non-parametric” test is that the random sample drawn is from “Continuous distribution”
Q.3.    The standard parametric methods are applicable for “Estimating the parameter” as well as for “Testing the hypothesis” about the parameters.
Q.4.    Non-parametric methods, are applicable only for testing the hypothesis about  distribution but not applicable for estimation purpose of parameter.

True/False

Q.1.    Two independent random variables (X,Y) are always uncorrelated but reverse may not be true

The global human population is increasing exponentially with time, and it is expected to reach 9.6 billion by 2050 (UN 2013). With rapid population growth, food consumption is predicted to more than double in the next 40 years. Due to limited land resources for cultivation and a stabilising trend in agricultural productivity, the role of livestock sector is increasing significantly to meet the rising food demand. Meanwhile, global livestock production has increased significantly in both number and productivity. Unprecedented urbanisation has a significant impact on food consumption patterns in general, as well as demand for livestock products. Animal diseases are a significant factor in reducing livestock productivity, particularly in developed countries. The limitations of traditional animal breeding hinder further improvement of livestock productivity. The use of biotechnological tools has major applications in improving animal health and production, increasing disease resistance, using assisted reproductive techniques, improving rapid diagnostic techniques, and improving vaccines in livestock systems. These interventions cover advancements in feeding, nutrition, genetics, reproduction, animal health control, and overall improvement of animal husbandry. Since genomic tools and selection have been widely adopted in developed countries to improve both productivity and quality of animal products, the prospects for increasing productivity in developing countries using genomic tools and selection have not been adequately investigated.

ABSTRACT

This paper discusses IPR concepts in the light of Indian culture and issues emanating from enforcement of those concepts in developing countries such as India.

INTRODUCTION

The adage “Knowledge is wealth” suits the present era well than any other period. India is known for its innovative thoughts since ages. However, it never monopolized the knowledge it possessed. In India, the knowledge of a person is thought to be utilized for the benefit of the society as an obligation of the knowledge holder. Does this mindset of Universal humanity (Vasudevo Kudumbagam) and common good (Sarva Sugino Bavandu) would benefit us in the materialistic society? This paper is an attempt to answer this query.

Livestock is one of the fastest growing agricultural subsectors in developing countries. In India has a vast diversity of animal genetic resources. Among them, sheep is an important ‘five star’ livestock species contributing significantly to rural economy through production of mutton, wool, manure, skin and milk etc. Sheep make a valuable contribution to the livelihood of the economically weaker sections of the society. The total Livestock population is 535.78 million and total sheep population is 74.26 million in in the country showing an increase of 4.6% and 14.1%, respectively over Livestock Census-2012. And it’s ranking 3rd in the world after China and Australia. Rajasthan is the fourth largest sheep rearing state in India with 7.9 million population (Livestock Census, 2019). Malpura sheep is one amongst the heaviest sheep breed of India, widely distributed in the semi-arid region of Rajasthan, mostly Tonk, Jaipur and Sawai Madhopur districts. Malpura sheep is reared and improved for mutton production since year 1975 at CSWRI, Avikanagar. The objective since then has been to improve the growth characteristics of this sheep breed for producing more carcass yield.The sheep is known for its adaptability to the harsh environment and potential for high meat production.Coat colour of Malpura sheep is white with coarse wool. The face is light brown with short, blunt ears. Animals have square compact body and long legs. Farmers also have liking for the long tail of animals for aesthetic purpose. The farmers like Malpura sheep for its properties like good mothering ability and produce sufficient milk to sustain and accelerate the growth of their neonates (Mishra et al., 2005), higher weight gain, number of lambs weaned, wool quality, walking capacity and the ease of management.

1. Introduction
The era of genome sequencing was exploded by the upcoming of Human Genome Project (1989), coordinated by the U.S. Department of Energy and the National Institute of Health to identify all the approximately 20,000-25,000 genes, 3 billion chemical base pairs, store this information in databases, improve the tools for data analysis, transfer related technologies to the private sector, and address the ethical, legal, and social issues (ELSI) that may arise from the project. The dawn of genome sequencing began with Fredric Sanger’s sequencing almost twenty-five years ago. The time consuming and labor intensive gel preparation and their running, as well as the cost of such experiments replaced the conventional sequencing by “shotgun” sequencing.

Biotechnology Products and Technologies
    
Bottlenecks in Fast Progress of Animal Biotechnology
    
Why Biotechnology should be Used in Animal Husbandry and Dairy Production
    
Contribution of Livestock Sector to Food Basket
    
Biotechnology and Environment
    
Biotechnology of Nutrient Partitioning
    
Genetic Programming for Better Animals
    
Biotechnology of Reproduction
    
Biotechnology of Animal Health