eChapters

Abstract

The natural color of foods is due primarily to carotenoids, anthocyanins, betanin and chlorophylls, either as inherent food constituents or as food or feed additives. These compounds have drawn considerable attention in recent years, not because of their coloring properties, but due to their potential health-promoting effects. Their occurrence and levels in foods, along with the factors that influence the composition, have been widely investigated. Processing effects have been actively studied. In spite of the intense search for plant and microbial sources and efforts to increase yield, few natural food color additives have reached the market. Developing new colors for the food industry is challenging, as colorants need to be compatible with a food flavors, safety, and nutritional value, and which ultimately have a minimal impact on the price of the product. In addition, food colorants should preferably be natural rather than synthetic compounds. Micro-organisms already produce industrially useful natural colorants such as carotenoids and anthocyanins. Microbial food colorants can be produced at scale at relatively low costs. This chapter highlights the significance of color in the food industry, why there is a need to shift to natural food colors compared to synthetic ones and how using microbial pigments as food colorants, instead of colors from other natural sources, is a preferable option.

Abstract

Starch is an important plant-based product and an abundant biomaterial, used worldwide for different purposes in many industrial sectors including food, health, chemical and engineering sector. Starch versatility in industrial applications is largely defined by its physicochemical properties and functionality. Starch in its native form has limited functionality and application but advancements in technological processing have led to the wide-range modification of starch for different purposes. It can be easily degraded by microorganisms hence is a natural source of bioenergy in the form of bioethanol and biohydrogen as well as in the development of biodegradable packaging materials. Various technological interventions can significantly improve the characteristics of native starch and be tailor-made to the specific needs of the packaging and food industry. Native starch can be treated by various methods to modify its characteristics. Modification improves starch paste clarity, viscosity, syneresis and freeze-thaw stability leading to a wide range of food applications. Esterification lowers gelatinization temperature and retrogradation lowers the tendency to form gel and higher paste clarity which shows applications in refrigerated and frozen foods, as emulsion stabilizers and for encapsulation. Cross-linking increases the stability of granules towards swelling, high temperature, high shear, and acidic conditions. Starch-based nano-composite polymers have their application in coating and packaging of food as well as non food commodities. Techniques involving extrusion, casting, spinning, and nanotechnology can be used in the production of films, foams, and nanocomposite materials. Due to the unique characteristics of resistant starch, it is being used as a valuable supplement in the formulation of drugs, pharmaceuticals, various functional foods and in the microencapsulation of probiotics and bioactive compounds.

Abstract

Dietary fibre concentrates (DFC) are the major component of fruit by-products generated during the processing at commercial level. These are the blessings for human gut health along with many other positive health benefits. Fruit by-products are the so-called nuisance for the environment that enfolds numerous positive signs inside. Lignin, cellulose, hemicelluloses, pectin, waxes, mucilage’s, oligosaccharide, gums and many other associated compounds are the part of DFCs. These DFCs when taken in the form of functional ingredient reaches to the colonic microbiota and consequently provides them a healthy growth medium that promotes the cell metabolism upto 67%, enhances the growth of good gut bacteria like Bifidobacterium and Lactobacillus. This article enlightens the content of DFCs in various fruit by-products that shows their prebiotic potential.

Abstract

Bioprocessing is much greener than chemical methods, since biocatalysts (enzymes or cells) involved are extremely selective, producing higher product yield with less or no by products, which are basically difficult to separate. Biotechnology can offer both economic and environmental benefits to the chemical industry and thus has great potential to achieve the sustainable production of existing and new products from renewable feedstocks. Fuel and energy production from biomass are major market sector for bioprocessing. They are considered in the manufacturing of biopharmaceuticals, food, food additives, chemicals, and several other products. Generally, a bioprocess involves feedstock pretreatment, fermentation or biocatalysis, and downstream processing for obtaining product and its purification. It is explored for the production of xylitol, fatty alcohol, butanol and biorefinery. Deep understanding of the process is required to create robust control strategy. Based on the requirements, sophisticated instrumentation and complex control laws or simple control law having intricate monitoring system can be selected. Supercritical fluids (SCFs) are advantageous for bioprocessing due to its transport properties, high diffusivity and low viscosity facilitate mass transfer phenomena, variation of pressure and/or temperature are adjusted providing high flexibility in the extraction of metabolites from cells. Microfluidic devices in which small amounts of fluids (10^-9 and 10^-18) are manipulated have emerged for high throughput applications. Automation of the optimization processes is enabled through microtiter plates with simplicity and operate with very small volumes. Therefore, more research is necessary to develop integrated processes that will allow combining one or more techniques to enhance bioprocessing at lower costs.

Abstract

This chapter examines natural resource economics, a multidisciplinary field that studies how economic and ecological systems interact to allocate natural resources on Earth. These resources, which include both human and nonhuman factors of production, are essential for the provision of goods and services. The chapter also explores the challenges of valuing and managing natural resources without market prices, and the implications for the sustainability of the food supply.

Abstract

This chapter discusses the concepts of risk and uncertainty in decision-making. Risk refers to the condition where the decision-maker knows the possible outcomes and their probabilities. Uncertainty refers to the condition where such information is unknown to the decision-maker.

Abstract

This chapter covers how linear programming aids in reducing costs and maximizing gains. A linear programming problem (LPP) typically contains linear restrictions and an objective function seeking optimization. Initially, two-variable linear optimization models are examined using the graphical technique to comprehend the issue and investigate solutions. The graphical method provides visual insights into the problem’s nature and solutions. Linear programming identifies the mix of choices that optimizes the objective function subjected to constraints. Graphical interpretation aids in recognizing feasible and optimal solutions visually.

Abstract

This chapter explores farm budgeting, a method of evaluating plans for the allocation of agricultural resources at the decision-maker’s level. It involves estimating the income, costs, and profit of different farm activities.

Abstract

This chapter examines how farm planning can help farmers anticipate and optimize their future activities based on economic principles. It presents a comprehensive farm plan that outlines the enterprises, procedures, labour, investments and other information involved in the farm operation. It demonstrates how farm planning can assist farmers in achieving their objectives, choosing crops, allocating resources, estimating input and credit requirements, and projecting future costs and returns.

Abstract

This chapter examines cost concept, which refers to the sacrifice made by the producer in the form of payments, such as wages for laborers, rent for tractor and land use, and expenses for raw materials, etc. Furthermore, it explains seven cost concepts and CACP cost concept with graphical presentation

This chapter covers farm management economic principles such as factor-factor, factor-product, product-product, Equi-Marginal law, and comparative advantage law. Farm management is the application of agricultural sciences and economic principles to the organization and operation of a farm enterprise. The manager uses economic concepts to formulate goals and develop plans based on optimal resource allocation, resource substitution, and enterprise combination.

Basically, farm management is the application of agricultural sciences and economic principles to the organization and operation of a farm business. The economic principles guide the manager in setting the goals and preparing plans on the basis of optimum resource allocation, resource substitution and enterprise combination.

The various economic principles applied to farm management are discussed below:

1. Factor-Product Relationship
2. Factor- Factor Relationship
3. Product- Product Relationship
4. Law of Equi-Marginal/or Principles of Opportunity Cost
5. Law of Comparative Advantage

Abstract

This chapter explores the production function, which shows how output can be maximized. Various types of production functions are used in agriculture, such as Linear, Quadratic, Cobb-Douglas, Spillman, Transcendental, etc.

Abstract

This chapter examines how farm size affects farmers’ welfare. Large farm owners enjoy a higher standard of living than small farm owners, which motivates their children to continue farming. The nation’s scale economies also favor large farms. In India, farm size decreases with each generation due to inheritance rules. Farming does not provide enough income to ensure a decent standard of living, so the size shrinks as the number of dependents grows. These farms are not only small, but also scattered, making farming a low-paid profession.

Size of the farm influences the welfare of the farmers. Operators of large sized farms enioy better standard of living compared against their counterparts with small sized farms. Better standard of living in turn encourages their children to be in farming. This way the interest in farming makes the farmers to be committed to derive maximum production. Large farms further enjoy the scale economies as well. A country with this type of setting in agriculture regarding farm size marches ahead to produce larger quantity of farm products. In India, the law of inheritance brings down the size of farm operated by a farm family with every passing generation. Sub-division on one side reduces the size of farm but the size of holding is further reduced by fragmentation. With ever growing dependents in farming, the size of the farm had been dwindling over the years, as it is at present does not provide sufficient levels of income to ensure a reasonable standard of living. The size of farm that is operated by the farmer should doubly ensure this requirement. Apart from being small in size, these are scattered making the farming an unremunerative occupation.

Abstract

This chapter explores farm management, a subfield of economics that addresses decision-making on the organization and operation of a farm. The goal is to secure maximum continuous net income while ensuring the welfare of the farm family.

Government Schemes and Incentives

Learning Objectives

1. Overview of Government schemes and incentives for promotion of entrepreneurship.
2. Overview of Schemes Applicable for Agriculture Startups
3. Focus on Agriculture in G20 countries under India’s Presidency in 2023
4. Role of Venture Capital Investments

Use Case 1: Supply Chain Traceability

1. Description: Blockchain can enable end-to-end traceability of agricultural products, ensuring transparency and authenticity. It allows tracking the journey of a product from farm to fork, providing consumers with detailed information about its origin, processing, and storage conditions.
2. Current Scenario: The lack of transparency in supply chains often leads to food fraud and safety concerns. Consumers are increasingly demanding more information about the products they consume.
3. How Blockchain Adds Value: Blockchain technology can securely record and store data about each step of the supply chain, including details about farming practices, transportation, and storage conditions. This transparency builds trust and ensures food safety.
4. Statistics: According to a survey conducted by Label Insight, 94% of consumers are likely to be loyal to a brand that offers transparency, including detailed information about product origin and quality.
5. Startups: Provenance, a UK-based startup, uses blockchain to trace the journey of seafood products, promoting sustainability and ethical sourcing.

Introduction

Blockchain technology has emerged as a revolutionary solution in various industries, and agriculture is no exception. By providing a secure and transparent system for recording and verifying transactions, blockchain has the potential to transform the agricultural sector. In this chapter, we will explore the role of blockchain in agriculture, its benefits, and various use cases that demonstrate its potential. Additionally, we will present key statistics and real-world examples to illustrate the impact of blockchain in agriculture.

Challenge: High Initial Investment

1. Solution: Government subsidies and financial assistance prograAms can be introduced to incentivize farmers to adopt drone technology. Additionally, academia and researchers can collaborate with drone manufacturers to develop affordable and cost-effective drone solutions tailored to the needs of small-scale farmers.
2. Contribution:
   1. Government: Implement subsidy programs and financial incentives.
   2. Academia and Researchers: Conduct studies to identify cost-effective drone technologies.
   3. Industry and Startups: Develop budget-friendly drone models suitable for agricultural applications.

Introduction

The use of drones, or Unmanned Aerial Vehicles (UAVs), in the agriculture sector has ushered in a new era of precision farming. These versatile flying machines equipped with advanced sensors and cameras have the potential to transform various agricultural activities, resulting in increased productivity, reduced costs, and more sustainable practices.

This chapter explores the history of drones, their components and functioning, the numerous agriculture activities where drones can be employed, the benefits they offer, real-world use cases, challenges in adoption, and possible solutions to fully realize their potential in the agriculture sector.

When embarking on the entrepreneurial journey, it’s essential to craft a Unique Value Proposition (UVP) that sets your business apart in a crowded market. Your UVP should succinctly convey the distinctive benefits your product or service brings to customers, solving their pain points in ways competitors can’t. To develop a compelling UVP, start by delving into your target audience’s challenges and desires. Understand their needs deeply and determine how your offering can address those needs uniquely and effectively. Whether it’s through innovative features, exceptional quality, or a unique approach, your UVP should highlight what makes your solution stand out. Distill this essence into a clear and memorable statement that resonates with your audience.

Fundamentals of Entrepreneurial Success

Entrepreneurship is a complex journey that requires diverse skills and perspectives. A well-structured team brings together individuals with complementary strengths, fostering innovation and problem-solving. A cohesive team can withstand challenges, provide emotional support, and share the burden of both successes and failures. Furthermore, a united team can attract investors, partners, and customers, as the synergy among team members reflects the potential of the business.

Business Plan

A business plan is a comprehensive document that outlines the goals, strategies, and operational details of a business. It serves as a roadmap for the entrepreneur and communicates the business’s value proposition to potential investors, partners, and stakeholders. A well-structured business plan includes sections on executive summary, company description, market analysis, competitive analysis, marketing and sales strategies, organizational structure, product/service description, financial projections, and funding requirements. Creating a business plan not only helps entrepreneurs clarify their vision and goals but also demonstrates a solid understanding of the market and a clear plan for achieving success.

Definition

Entrepreneurship refers to the process of identifying, creating, and pursuing opportunities to develop new products, services, or processes, often involving innovation and risk-taking. It involves the willingness to take calculated risks in order to capitalize on these opportunities. Entrepreneurs are individuals who exhibit a unique mindset, combining creativity, resourcefulness, and resilience to bring their ideas to fruition. Entrepreneurship can manifest in various forms, including starting a new business, introducing novel products to the market, or even implementing innovative strategies within an existing organization. It is a dynamic and evolving concept that plays a vital role in driving economic progress and societal development.

Entrepreneurship plays a vital role in driving economic growth, and its significance in the agriculture and allied industry cannot be overlooked. As the backbone of many economies, agriculture and its allied sectors provide employment to a significant portion of the global population. We shall highlight the benefits of being an entrepreneur in this sector, discuss the different types of entrepreneurs, provide relevant statistics and case studies, and touch upon the factors affecting entrepreneurial behaviour. Additionally, we will examine the current trends and forecast for the next three years in the agricultural entrepreneurship landscape and examine relevant statistics and case studies and shed light on the government’s role in promoting entrepreneurship in the Indian startup ecosystem.

Following are the reasons why must understand topic indepth.

1. Agritech startups have raised over $1 billion in funding in the past 5 years.
2. The Indian agritech market is expected to reach $15 billion by 2025.
3. There are over 1,000 agritech startups in India.
4. The top three agritech sectors in India are precision agriculture, farm management, and farm equipment rental.

Entrepreneurship involves seeking and exploiting opportunities available for the benefit of the society. The changing agro-economic conditions in our country have offered a prospective context for developing entrepreneurship in agri-business in the country. Agri-entrepreneurship has the prospect of social and economic development, for example, employment generation, poverty reduction, improvements in nutrition, health and overall food security in the national economy especially in rural areas. The task of promoting entrepreneurship was earlier given to different departments and government agencies. In 2014, the Prime Minister decided to dedicate an entire ministry to build this sector as he felt that skill development required greater push from the government’s side. The idea is to reach maximum people and startups through funding and skill development initiatives.

Entrepreneurship opportunities in veterinary sciences have expanded significantly with the integration of technology. The convergence of veterinary expertise and innovative technological solutions has opened up new avenues for entrepreneurs to create impactful businesses in the field. This field offers a wide range of opportunities for persons passionate about animal health and welfare. In the recent years, the demand for high-quality veterinary services and products has increased tremendously, creating an enriching environment for aspiring entrepreneurs. There are various avenues available in the veterinary industry for individuals thinking about establishing their own businesses.

India is the fastest-growing pet care market in the world and the pet population is of an estimate of 28-29 million, with dogs making up the bulk of pet ownership. The rising pet ownership has led to the growth of the pet care ecosystem comprising retail chains, pet nutrition pharmaceuticals, grooming, toys, clothing, diagnostics, and clinical practice. The pandemic of Covid-19 has a significant impact on the Indian economy; and the pet industry has seen a steep growth during the pandemic period. Isolation and anxiety during the lockdown led to many restorations to adopt furry companions. The veterinary graduate has a lot of opportunities, and it depends upon the individual as to what sector the student wants to pursue. Employment opportunities include diverse areas such as clinical practice, teaching, and research, regulatory medicines, public health, wildlife specialist, or lab animals. Depending upon the interest, one can start exploring options to work for the pet industry and join the Veterinary pet practice clinical.

Artificial intelligence is a computational science concerned with smart computer machines capable of performing tasks similar to the human intelligence. The term AI is widely used for the projects involved in the developing the intellectual processes of human intelligence such as reasoning ability, meaning discovery, generalization, learning from the past. AI technology mainly analyses the huge amount of data based on the set of instructions or commands known as algorithms to do a specific function or task. The mathematician Alan Turing with a simple question “Can machines think?” revolutionised the history. His paper “Computing Machinery and Intelligence” in 1950 and Turing test has favour the development of goal and the vision of AI.

The research in AI are mainly focussed on the following intelligence components namely:

1. Learning
2. Reasoning
3. Problem solving
4. Perception
5. Language use

India is an agrarian country and the agriculture and allied sector is the largest employer of workforce as it accounted for a sizeable 18.8 per cent in 2021-22 in Gross Value Added (GVA) of the country (Economic Survey 2021-22).Agriculture is the primary source of livelihood for about 58% of India’s population and only the food processing industry employs about 1.77 million people (Indian Agriculture and Allied Industries Industry Report, November 2021). In the year 2019-20, gross value added by agriculture, forestry, and fishing was estimated at Rs. 19.48 lakh crore (US$ 276.37 billion). But still farming community has to face lot of hardships. The farmers are still applying chemical fertilizers on the basis of their own experiences as they don’t possess the soil heath cards. Although central government has initiated Soil Health Management (SHM) scheme to assist State Governments to set up new static Soil Testing Laboratories (STLs) and Mini Soil testing Labs (MSTLs). But it is time consuming and cumbersome process. There is great opportunity for Agri-business entrepreneurs with a commercially viable solution to farmers by development of simplified, sensor based and quick soil testing methods to test the nutrients and micronutrients.

Unemployment is a big challenge in every sector. In Jammu and Kashmir unemployment rate is 22.2 percent as per the Centre for Monitoring Indian Economy (CMIE) figures, and the rate is even higher than the National level unemployment rate of 7.1 percent recorded across India. Livestock sector plays an important role in rural livelihood, employment and income generation. There is a huge opportunity in this sector for developing start-up at their own and generation of employment. This is all possible if the skilled graduate of animal husbandry can be motivated for fostering new idea of startup which is market driven. Major livestock products like milk and milk products, meat and eggs contribute around one-sixth of the calories and one-third of the proteins in the per capita food supplies of the world. Animal husbandry is the second largest economic activity of rural India. Animal husbandry is a growth engine and annual growth rate in dairying is 5 % and in poultry it is 10% and will alleviate rural poverty and uplift the rural farmer. The availability of per capita animal protein is 10.8g whereas the requirement as per world average is 25g. National sample survey reports that 70-75% of their food budget is for milk and milk products. The need of the hour is increase in production, productivity and improvement through value addition in the marketing channel. Commercialization of cow dung and urine will also encourage people to not discard cows which have stopped milk production. By-products like urine and dung can be used for medicinal and agriculture purposes. It has been reported that startups would receive upto 60 per cent initial investment from Government for by-products like cow dung and urine. Eco friendly products can be prepared from dung and urine like Bio CNG, vermicompost, incense sticks, flowerpots, dung log etc.

Current scenario of Startups in India

India, currently is being evolved as a hub for Revolution, innovation and Startups as it holds 3^rd rank in global startup ecosystem worldwide after US and China. The flagship initiative of Government, Startup India, is intended to construct arobust eco-system for fostering innovations and startups in the country. Through this initiative, the Government aims to empower the growth of startups through new innovations and strategies. As per the reports of Startup India, the startup sector is expected to mark steady annual growth of 12-15% (startupindia.gov.in). By the year 2018, India already had a list of about 50,000 startups. As per the data, more than 800 technology startups are being established every year (NASSCOM, 2015). The annual growth has increased to 15% and the number of female entrepreneurs has also increased to 14% (startupindia.gov.in). As of December 2021, the country is home to 81 unicorns which has a total estimate of $ 274.17 Bn. Out of these unicorns, 44 unicorns came into existence in 2021 itself, which was a record year for the country. These Figures show that startups have exploded in the country in recent years.

An entrepreneur is an individual who creates a new business, bearing most of the risks and enjoying most of the rewards. The process of setting up a business is known as entrepreneurship. The entrepreneur is commonly seen as an innovator, a source of new ideas, goods, services, and business/or procedures.

Entrepreneurship is an act of being an entrepreneur, or “the owner or manager of a business enterprise who, by risk and initiative, attempts to make profits”. Entrepreneurs act as managers and oversee the launch and growth of an enterprise. Entrepreneurship is the process by which either an individual or a team identifies a business opportunity and acquires and deploys the necessary resources required for its exploitation.

An entrepreneur uses their time, energy, and resources into creating value for others. They are rewarded for this effort monetarily and therefore both the consumer of the value created and the entrepreneur are benefitted.

Introduction

Everyone is familiar with the term start-up or entrepreneurship which refers to a process by which individuals start and manage their businesses and industrial enterprises. Entrepreneurs are people who take risks and invest their capital in businesses and industrial enterprises. Entrepreneurial in terms of personal development in terms of self-determination create take risks Therefore, anyone who exhibits the characteristics of self-development, creativity, personal decision-making, and risk-taking can be called a person with entrepreneurial characteristics. When these characteristics are exhibited by someone who is running a business, they can be called an entrepreneur. Entrepreneurship is the ability and willingness to develop, organize and manage a business enterprise, with all its uncertainties, in order to make a profit. The most prominent example of entrepreneurship is starting a new business. In economics, business activities involving land, labor, natural resources, and capital can generate profits.

Agribusiness is a term used to describe the sector that encompasses all economic activities that are related to farming, i.e., breeding, crop production/farming, farm machinery, distribution, marketing etc. It relates to industries that are engaged in farming or that produce farm inputs. Examples of agribusiness include farm machinery manufacturing, seed supply, and agrichemicals. It also is used to describe businesses that are involved in the marketing and distribution of farm products. These businesses include warehouses, wholesalers, processors, retailers, and more. Any company that participates in the production, marketing, safety, and distribution of food is involved in agribusiness. More precisely it is defined as a sector that supports the growth of the agricultural industry, which is pivotal to economic growth. It also continues to play a crucial role in the growth of developing countries. Agribusinesses can potentially improve agricultural productivity, which is why governments often offer subsidies to agricultural businesses. Agricultural activities also contribute to an improved system of food security and sustainable food production, as well as income for a majority of the poor in developing countries. However, the activities increase the emission of greenhouse gases and contribute to global warming – which is why innovation is important in the sector to address such problems.

Definitions of Energy

Energy is a key topic in science and technology, as well as in society in general. In terms of energy, a typical definition found in popular literature as well as textbooks is “energy is the ability to do work” or, much more precisely, “energy is the capacity of a system to do work” [Atkins 1990].

Energy is described as the ability to generate change or carry out work, and that work can be separated into numerous easily identifiable tasks: Energy produces light, heat, motion, sound, growth, power and technology etc.

The large volume, type and nature of animal breeding data and the complex nature of analytical requirement warrants additional tools for handling, storage, retrieval and solving complex equations. Accuracy, speed, computational requirement, applicability, etc., has resulted in the development of numerous software exclusive for animal breeding data analysis. The database management system is already explained in the chapter on ‘Nature of animal breeding data and database management’. This chapter gives a note on the commonly used animal breeding software.

This chapter describes various multivariate techniques which are useful in animal breeding. The genetic correlation with multiple response variables is already explained in the chapters on Correlation and Genetic Parameters. The other techniques including MANOVA, Principal Component Analysis, Factor Analysis, Cluster Analysis and Discriminant Analysis are explained.

Multivariate analysis is referred to a set of data with multiple response variables in general and such data is encountered often in animal breeding analysis. The simplest form of multivariate analysis is the genetic correlation where two or more traits are analysed together as response variables with factors affecting them on the right-hand side (RHS) and details of these are already explained in earlier chapters.

Meta-analyses has been used extensively to combine the results of existing studies and obtain powerful estimates of a parameter. In animal breeding, attempts have been made to obtain meta-analysis estimates for genetic parameters. This tool is more pertinent to animal breeding on account of heterogeneity in terms of location, sample size and other factors in the estimation of genetic parameters. This chapter explains the background, methodology, precautions and implications of meta-analysis with respect to genetic parameters.

A meta-analysis is a powerful tool of statistics that could combine several estimates from different studies for a parameter and the resulting weighted estimate could be used as a representative value for the particular parameter. However, not all the studies are similar with respect to location, sample size, and methodology used and thus various precautions are to be taken right from the selection of studies to incorporating of between-study heterogeneity in the models. In animal breeding, met-analysis is very much useful for obtaining meaningful estimates of genetic parameters and this chapter explains the methodology of meta-analysis in animal breeding.

The aim of the breeder is to improve on various economic traits through selection. However, due to the lesser number of parents used, over a period of time, there creeps in the effect of inbreeding and loss of genetic variability which in turn causes depression and loss of fitness. This is more prominent in finite endangered populations and evaluation for genetic variability also forms an integral part of the animal breeding analysis.

Genetic variability is an integral part of domestic animal populations as fitness is directly related to the variability.

Milk yield is one of the most important economic traits and modelling the lactation curve is important with respect to the unique shape with ascending, persistent and descending phases. The non-linear relationship of daily milk yield with days in milk has led to extensive research in modelling the lactation curve. The nature of the lactation curve, different models, identifying the best model of fit, factors affecting the curve parameters and orthogonal polynomials to model the curve are discussed in this chapter.

Traits such as growth, lactation test day yield, semen evaluation are longitudinal traits measured repeatedly on the animal and random regression models (RRM) have been found to be suitable for modeling these traits, The methodology used, data requirement, assumptions, validity, software available and application of RRM are explained in this chapter.

Growth, test-day milk yield, and semen traits are examples of longitudinal traits measured repeatedly on the animal and random regression models (RRM) have been found suitable for modeling such traits. RRM is based on a covariance function which could be defined as “a continuous function to give the variance and covariance of traits measured at different points on a trajectory” (van der Werf, 2001). Kirkpatrick et al. (1990) showed that variance components for longitudinal data can be modelled through covariance functions. Random regression models (RRM) and the resulting covariance function have been recognized as ideally suited for the analysis of longitudinal data (Hill, 1998; Meyer, 1998).

Linear models have been extensively used in animal breeding. This chapter explains the basics of linear models including description; fixed, random and mixed models; model diagnostics and covariates. The concept of linear models in animal breeding is explained with representation and actual examples of use in different types of livestock.

Introduction to Linear Models

A model can be defined as a physical, mathematical or otherwise logical representation of a system, entity, phenomenon, or process. Linear models are a way of describing response variables in terms of a linear combination of the predictor variable. They provide a framework for a large set of models whose common goal is to explain or predict a quantitative dependent variable by a set of independent variables that can be categorical or quantitative.

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.

The key genetic parameters available with the animal breeder to attain improvement are heritability, repeatability and genetic correlation. This chapter will mainly deal with the theoretical considerations of these parameters.

The goal of an animal breeder is to bring about permanent improvement in different economic traits, either individually (univariate) or simultaneously in multiple traits (multitrait). The phenotypic value available from the animal is a combination of genotypic value and environmental deviation. By permanent improvement in a trait, we mean the improvement in genotypic value, which could be carried over to future generations. The environmental deviations are spatially and temporally specific, and thus will not be the same over generations. The genotypic value, itself is made up of additive effect, dominance deviation and interaction deviation. The additive effect is a value of genes (the sum of the average effect of genes) and hence is more important for the breeder as only the genes are passed on to the next generation.

It is known that the phenotype of an individual is a combination of genotype and environment. Animal breeding analysis is mainly done to partition the genetic part from the environmental part so as to assess the actual genetic worth of the animal. In this process correction for the known environmental part is integral to any animal breeding analysis. In this chapter, a list of common factors affecting important economic traits are described. The analytical part for these effects will be explained in later chapters.

Correction or standardization of data is very important in any animal breeding analysis. Unless the candidates under selection are placed on a common platform, various factors affecting the trait will lead to bias in assessing the performance of the individual with respect to a particular trait. For eg. a lamb born during a favorable season, a lactating cow in its third parity, first lactation yield of a cow with longer age at first calving.

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.

Basic knowledge of statistics is important to understand animal breeding analysis. In this chapter, the hypothesis testing, principles of experimental design, types of data and probability distribution are described with examples using appropriate software.

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.

Maintaining the required type of information in the form of records is primary for any type of animal breeding analysis and this chapter explains the importance of records and ways to maintain them in the form of registers or computer databases. The formats for different types of registers to be maintained are also given as a template in appendix. Any breeding plan is formulated to improve the economic traits depending on the utility of species reared and the chapter lists important economic traits of livestock and poultry with definitions and formulae, where ever required.

Basic record maintenance is a must for any animal breeding program. Every farm or breeding program is expected to maintain records in the form of registers or computerized databases. The goal of animal breeding is to select mates with the objective to improve economically important traits. In this chapter, the most common economic traits in different species of livestock are described. Even though the list is not exhaustive the basic economic traits that have been worked for improvement are explained. Breeders also explore new composite traits which are a combination of these base traits.