eChapters

1. Ammonia Nitrogen by Distillation Method
Method I (For Animal Feeds)
Reagents
    1.    Mangnesium oxide (carbonate free)
    2.    Standard sodium hydroxide 0.25 N
    3.    Standard sulphuric acid 0.5 N
    4.    Methyl red indicator

Weigh accurately 2 to 4 g  of the prepared sample. Shake it with water and filter. Wash the residue thoroughly with water. Transfer the filtrate to the distillation flask and dilute to about 200 ml with water. Add about 5 g of the magnesium oxide, Connect the flask to the condenser by means of the connecting bulb tube and distill about 100 ml of liquid into the receiver containing standard sulphuric acid and methyl red indicator solution, Titrate the contents of the receiver with the standard sodium hydroxide solution. Carry out a blank determination using all reagents in the same quantities but without the material to be tested.

Ruminants possess the remarkable ability to efficiently utilize non-protein nitrogen (NPN) substances as substitutes for protein, thanks to the presence of microbes in their rumen. These substances contain essential amino acids, which are crucial for the proper growth and development of animals. The microbes in the rumen play a significant role in synthesizing these essential amino acids from NPN sources, making them readily absorbable by the ruminant’s digestive system. In fact, research has demonstrated that rumen bacteria prefer utilizing amides, amino acids, and ammonium salts for energy production and growth, rather than proteins. This utilization of NPN substances is essential for meeting the protein requirements of ruminants and ensuring their overall health and productivity. Consequently, incorporating NPN-rich feeds into ruminant diets can be a cost-effective alternative to traditional protein sources.
Definition: Non-protein-nitrogenous (NPN) substances refer to feedstuffs that contain nitrogen in a form other than proteins or peptides. In fresh herbages, up to 30% of the total nitrogen content may consist of NPN substances.

INTRODUCTION

Food processing as a technological regime is undergoing a revolutionary change in terms of conception, product and process design and energetics. The conventional approach of a food processor is to develop products with a long shelf-life in user friendly packaging systems. Food processors are usually bothered about sensory attributes and microbiological profiles without much emphasis on the fate of heat labile nutritional and nutraceutical components. The changing consumer perception is slowly but steadily leading towards emergence of novel technologies without depending upon conventional thermal processing. A few years before, non-thermal techniques have emerged for food processing and preservation, but these techniques were restricted to framing of fundamentals with regard to the inactivation of vegetative and reproductive bodies of microbes and the deteriorative enzymes.

Non-thermal preservation technologies inhibit microorganisms and enzymes without relying primarily on high temperatures. They are designed to preserve freshness, colour, flavour, texture and heat-sensitive nutrients more effectively than conventional thermal treatments. These methods employ hydrostatic pressure, electrical energy, electromagnetic radiation, reactive species or mechanical forces to damage microbial cells and disrupt essential biological functions. The chapter examines high-pressure processing, pulsed electric fields, cold plasma, ultrasound, irradiation, pulsed light and edible coatings. It explains their operating principles, mechanisms, applications and nutritional implications. These technologies offer promising alternatives for producing safe, minimally processed foods, although equipment costs, process optimisation and industrial scalability remain important considerations.

Food processing involves the transformation of raw materials into consumer-ready products, with the objective of stabilizing them to prevent negative changes in quality and ensure food safety. To consumers, the most important attributes of a food product are its sensory characteristics like texture, flavour, aroma, shape and colour. The aim of food manufacturers is to develop and employ processing technologies that retain or create desirable sensory qualities or reduce undesirable changes which take place during processing. Alternative or novel food processing technologies are being explored and implemented to provide safe, fresher-tasting, nutritive foods without the use of heat or chemical preservatives. The major non thermal technologies gaining importance are High-pressure processing, Pulsed light technology, Pulsed electric field, Irradiation etc.

High pressure processing

The application of very high pressures (upto 87,000 psi, 6000 bar or 600 MPa) for preservation of food substances in combination with or without heat is known as high pressure processing (HPP). This process is also known as high hydrostatic pressure processing (HHP) or ultra-high pressure processing (UHP). When compared to thermal processing, pressure treated foods have a fresher taste, better appearance, texture and nutritional value. High pressure processing can be conducted at ambient or refrigerated temperatures, thereby eliminating thermal effects and cooked off-flavors. The technology is highly beneficial for heat sensitive products. The first high pressure processing line was introduced in Japan for jam manufacture in 1990’s and has since been upgraded to several food products. A number of HPP products have been commercialized in North America, Europe and in China. Machines are now available with operating pressures in the range 400-700 MPa and capacities ranging up to 900 kg per batch. Since HP processing affect mainly the non-covalent bonds of the food, the quality characteristics of foods such as color, flavor and nutrients generally remain unaffected (Knorr, 1993).

Introduction

Globally, we have witnessed a humongous increase in consumption of seafood with human consumption amounting to a whooping 157.4 million tons in 2020. Seafood, being a rich source of ?-3 fatty acids, offers several health benefits such as better eye-sight, promoting eye health, more brain power, etc. These health benefits of seafood consumption and the various value-added products have attracted a lot of consumers, thus providing a great impetus to its market demand. This makes it all the more important for us to focus on issues like Food Waste and Loss (FWL) in fisheries that is witnessed at all value chain stages and contributes to food insecurity. We all are well aware that fish is a perishable product and once dead, it starts to spoil rapidly from the point of harvesting.

This chapter introduces non-timber forest products (NTFPs) as important biological resources supporting rural livelihoods, local economies, and forest-dependent communities. It examines the definition, scope, classification, diversity, and importance of NTFPs in India. The chapter also discusses value chains, market dynamics, trade, sectoral challenges, and constraints affecting their sustainable utilization. Particular attention is given to conservation, policy frameworks, community livelihoods, and a case study of NTFPs in Maharashtra. The chapter emphasizes the need to balance resource utilization with sustainable forest management and biodiversity conservation.

4.1 The non-verbal communication

The non-verbal communication is the use of human body as the medium of message. The non-verbal communication forms a vital part of the process of communication that an individual goes through daily.

Introduction

For the year 2016-17, as per the FAO global estimate, the food grain production has crossed over 2.6 trillion metric tons, while the steadily increasing the demand is anticipated to be approximately 3.3 trillion metric tons for 2016-17. Similarly,the global production of all horticultural commodities has crossed over 1.8 trillion metric tons. The global trade of these commodities is purely based on their quality, the demand for good quality produces increases day by day. The term “quality” is a broad terminology used to explain many parameters and differs from commodity to commodity. Usually, the term ‘quality’ is classified into internal and external quality. The external quality refers the external colour, size, shape appearance, uniformity, external damage, cracks and bruishness etc. These parameters may be common for both perishables and durables.

But, in case of internal quality, each and every parameter vary from commodity to commodity, product to product. For food grains, the internal quality refers to moisture content and other nutritional parameters like carbohydrate, protein content etc. But in fruits, the internal quality refers to internal pulp colour, TSS, pH, acidity, juice content, ripeness, other biochemical and nutritional quality parameters. 

Noni (Morinda citrifolia L.) is a unique horticultural plant. It has a tremendous demand due to its high medicinal value. Increasing demand has led to commercial farming of the crop. Noni is an ideal plant for mixed farming with other horticultural plantations. Noni is grown as medicinal plant in most of South Indian temples as sacred plant like basil (tulsi). All parts of plants have traditional and modern use, including roots and barks in dye and medicine. Fruit juice is a rich source of vitamin A, C, E, B, B₂, B₆, B₁₂, calcium, iron, niacin, folic acid, phosphorous, magnesium, zinc, copper, chromium, manganese, molybdenum, sodium, potassium and carbohydrates. Noni fruit is a raw source for more than 150 neutraceuticals, required by our body on daily basis.  It is good source of anti-oxidants. Fruit juice purifies blood, protects from toxins and pollutants, promotes self healing mechanism and stimulates production of T-cells in immune system. Noni fruit attained significant economic importance world wide through a variety of health and cosmetic products, made from fruit leaves and fruits.

23.1. Origin and distribution

• Native from South Eastern Asia (Indonesia) to Australia

• Indian mulberry

23.2. Economic importance

• Widely used for health restorative properties, over years popularity diminished due to unpleasant smell from ripened fruit.

• Helps in reducing high blood pressure and cures heart disease and stroke due to presence of scopoletin which dilate blood vessels resulting in lower blood pressure.

• Stimulates body’s production of nitric oxide, a chemical which allows the blood vessel to dilate more easily and more elastic.

• Anti-inflammatory and histamine inhibiting effects, excellent for promotion of smooth joint movement.

1. INTRODUCTION

Growth is a complex biological process that must be evaluated carefully if a profitable combination of growth and efficiency is to be realized. Knowledge relating to birth weight, mature weight, maturity rate and the point of infection of the growth curve in various breeds and crosses is very useful in selecting breed combinations that can produce the most efficient growth pattern. The effect of cow size on economy of production has been a discussing subject among cattlemen and animal scientists. Growth models are used to predict rates and change in the shape of the organism. They can be applied to determine the food requirements so as to get a desired growth. The estimated parameters of growth function can evaluate various growth characteristics of animal like rate of maturing, rate of gain, mature size and related characters.

A linear programming problem aims to maximize or minimize a linear function subject to the linear constraints. But in many cases, the objective function may not be linear or all/some of the constraints may not be linear or both the objective and the constraints may not be linear. Such an optimization problem is called a nonlinear programming problem (NLPP). In this chapter, we discuss about NLPP’s. Nonlinear programming is the process of solving an optimization problemdefined by a system of equalities and inequalities, collectively termed constraints, over a set of unknown real variables, along with an objective function to be maximized or minimized, where some of the constraints or the objective function are nonlinear. It is the sub-field of mathematical optimization that deals with problems that are not linear. A typical non-convex problem is that of optimizing transportation costs by selection from a set of transportation methods, one or more of which exhibit economies of scale, with various connectivity and capacity constraints. An example would be petroleum product transport given a selection or combination of pipeline, rail tanker, road tanker, river barge. Owing to economic batch size the cost functions may have discontinuities in addition to smooth changes. In experimental science, some simple data analysis (such as fitting a spectrum with a sum of peaks of known location and shape but unknown magnitude) can be done with linear methods, but in general these problems, also, are nonlinear.

1. INTRODUCTION

Agriculture plays a crucial role in addressing the needs of a growing global population, and is inextricably linked to poverty eradication, especially in developing countries. Sustainable agriculture and rural development are essential to the implementation of an integrated approach to increasing food production and enhancing food security and food safety in an environmentally sustainable way. Attaining food security has been our major concern since independence. Appropriate policy measures in agriculture made it possible to achieve food security as well as required national confidence to meet the growing food demands, despite a growing population. The increased agricultural production has been achieved largely through an increase in the yield of grain per hectare, rather than from an increased cultivated area. The increase in production has been the result of widespread cultivation of new high-yielding varieties coupled with a package of agricultural inputs that permit the genetic expression of their high yield potential. India is now even in a position to export agricultural commodities, fish products, milk products and earns a lot of foreign exchange. The present share of the agricultural sector in total exports is 15 to 17 percent. However, the export of many agricultural commodities show a high degree of fluctuations, caused by time lags between production decisions and delivery to the market. For the Government, unforeseen variations in export can complicate budgetary planning and increase risks for attainment of debt targets. For exporters, price volatility increases cash flow variability and reduces collateral value in the market. There is a need for an aggressive export growth-oriented policy to raise the share of agricultural sector in total exports to 25%. This should come through diversification of agriculture. In our country, the exports have been allowed only after domestic requirements are met, which is the major cause of fluctuations in exports from year to year. Modelling and forecasting such fluctuating data of commodities is crucial for the sake of Government as well as for the exporters.

In this section we shall discuss diseases that do not involve any parasitic etiology. Such diseases are now more appropriately called ‘Disorders’. The disorder may be of many kinds but all of them have adverse effects on the normal physiology and total performance of the crop host. They are therefore, more often called ‘Physiological disorders’. Lack of proper soil and environmental conditions, nutrient status, irrigation factors and other parameters for successful crop cultivation may result in such disorders.

Milk fermentation is process by which a change is produced in milk through the activity of microorganism. As milk leaves the udder it serves as a medium for the growth of many species and accordingly undergoes a series of changes, the processes producing these changes constitute the milk fermentation.

Fermentation of organic compounds, especially in the lack of oxygen leads to the rapid break-down of ‘biopolymers’ to produce ‘anaerobic food chains’.

The rate of consumption of time and energy in task completion is affected by the work area. The work area is composed of the height, available space of the work surface, the location of the equipment, materials, and supplies being used. The work surface should be at the optimum height for the position you assume in task completion. This means if you are standing, the surface height should be slightly below your waistline.

10.1 Normal Distribution

The normal distribution is the most widely used distribution in statistics. Almost all biological data including the agricultural data eg. crop yield, plant height, seed weight, seed size, protein percent in pulse, oil content in an oil seed etc are assumed to be normally distributed. In practice their distribution is rarely verified. In distribution theory, for large values of n, the number of trial (or sample size), almost all the distributions e.g. Binomial, poission, Negative binomial, chi square, student’s t, and Snedenor’s F distributions etc. are very closely approximated by normal distribution. It is a continuous distribution with mean and variance as its two parameters.

10.1 Normal Distribution
The normal distribution is the most widely used distribution in statistics. Almost all biological data including the agricultural data eg. crop yield, plant height, seed weight, seed size, protein percent in pulse, oil content in an oil seed etc are assumed to be normally distributed. In practice their distribution is rarely verified. In distribution theory, for large values of n, the number of trial (or sample size), almost all the distributions e.g. Binomial, poission, Negative binomial, chi square, student’s t, and Snedenor’s F distributions etc. are very closely approximated by normal distribution. It is a continuous distribution with mean and variance as its two parameters.

12.1 Section-A : Write True / False

Q.1 Almost all biological data e.g. crop yield, plant height, seed weight, seed size, protein content in pulse, oil content in oil seed etc. are assumed to be normaly distributed.

Q.2 Let X be a normal variable with N(μ, σ²). The random variable Z def ned as Z = (x - μ)/σ, is known as standard normal variable.

Q.3 The standard normal variable Z is denoted as Z ~ N (0, 1).

Q.4 The p.d.f. of random variable Z is given as