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A line homozygous at all loci, ordinarily obtained by successive self-fertilizations in plant breeding is called a pure line. This concept was proposed by Danish biologist, W.L. Johannsen in 1903 while conducting a series of selection experiments for seed weight in common bean, which is strictly self-pollinated species. This is applied in self-pollinated crops, like wheat, rice, pulses, several vegetable crops, namely, tomato, chilli, eggplant, okra, cucurbits, etc. This is also applied to develop inbred parental lines in maize and several other cross-pollinated crops. However, ultimately these parental lines are used in development of new hybrids. This could be summarized as follows:

• Lines that are genetically different may be successfully isolated from within a population of mixed genetic types.
• Any variation that occurs within a pure line is not heritable but due to environmental factors only. Consequently, as Johansen’s bean study showed, further selection within the line is not effective.

Alinehomozygousatallloci, ordinarilyobtainedbysuccessive self-fertilization in plant breeding is known as pure-line. W. L. Johannsen (1903), a Danish biologist provided a sound scientific basis for selection in self-pollinated crops when he defined ‘pure-lines’ and described the genetic mechanism by which they are established through a series of experiments for seed weight selection in bean, variety Princess. Pure-lines in principle are supposed to be 100% homozygous but that hardly happens in practical plant breeding programmes and usually the so called pure-lines are ‘near pure-lines. Pure-lines tend to be uniform in the traits of interest. Genetic mutations, admixtures and limited out-crossing are the main causes of variation within pure-lines. This is a rapid and most in-expensive method. Pure-line theory may be summarized as follows:

Purity analysis

Purity of a seed lot indicates in percentage how large a fraction is made up of pure seeds of the species in question, and how much is made up of inert matter and other seeds. Impurities may be any non seed material (leaf, flower, fruit fractions, soil etc.), small fractions of seeds of the actual species, as well as seeds of other species. Pure seed may include both dead and empty seed, plus damaged seed, purity does not tell anything about viability. The purity analysis of a seed sample in the seed testing laboratory refers to the determination of the different components of the purity viz., pure seeds, other crop seeds, weed seeds and inert matter. Each component is reported as a percentage of total weight. The objective of the purity analysis is to determine whether the submitted sample conforms to the prescribed physical quality standards with regard to physical components. Large seeds are generally easy to clean and purity analyses are therefore often omitted. However, for smaller seeds contamination with other seeds may occur e.g., during processing.

I. FILL UPS

1. _____ and _____ seeds give highest grain yield.
2. Assessment of _____ is one of the basic requirement for quality control of seed under the seed act.
3. The minimum number of seeds for germination test of _____.
4. The purity analysis in groundnut is done with working sample size is _____.

1. SEED PURITY AND ITS COMPONENTS

Seed purity analysis from the working sample taken from submitted sample is made in accordance to ISTA rules. The uncertified seed sample is generally a mixture of pure seeds, inert matter and biological impurities including genetically impure seeds of the variety.

A buyer expects to have good seed and not a mixture of pure seed with a high percentage of chaff, straw, sand, weed seeds and other crop seeds and also genetically impure or mixed seeds.

Purity analysis is a test to estimate the extent of biotic and abiotic impurities present in the seed lot of a variety.

To explain the main concepts and elements of a participatory curriculum development process

To present practical skills and knowledge leading to the effective design of teaching and learning

To build confidence of the learners in applying new methods and approaches to teaching and field extension work.

To demonstrate application of participatory approach in development of Extension curriculum

This Toolkit emphasizes an active learning approach, based on the process of experience, reflection and action. The key principle is that people do not learn simply by passive listening. They need to be involved from beginning of the training and designing of the program.

Inula racemosa is an Asian plant in the daisy family native to the temperate and alpine western Himalayas of Xinjiang, Afghanistan, Kashmir, Nepal, Pakistan. Inula racemosa Hook. f., is a critically endangered perennial herb distributed throughout the Himalaya; commercially useful in pharmaceutical products.

Morphological characteristics

The species is a perennial herb that grows up to 1.5 metres tall & has a scented root and rootstock. Large number of stems ascend from the rootstock’s base. Leaves are leathery, rough above and densely hairy below, 25-50 cm long and 10-12 cm wide, and elliptic-lanceolate in shape, 25-50 cm long and 10-12 cm wide.

Floral biology

Flower heads are yellow with bisexual florets and arise in terminal racemes. Flowering takes place from January to July, while fruiting takes place from October to November. Fruits (achenes) are slender and about 0.5 cm long.

7.1 Economics and Valuation of ghgs emissions

Since the late 20^th century, it has been largely accepted that cause of high concentration of GHGs in atmosphere is induced by human activities. Greenhouse gas emissions and related climate change has opened up debate on overall economic losses and ways to reduce these loses. Moreover, apart from curbing monetary losses; the global political leaders as well as reputed economists are looking towards making money by saving the emissions. Recently, the researchers have started to emphasize on the actual value added to the ecosystem by curbing emissions, discrete of the economic benefits. This section will discuss the economics and ecosystem services related to the management of GHG emissions.

Origin

The initiative to curb the emissions started in 1992 with the United Nations Framework Convention on Climate Change (UNFCCC) at the Earth Summit in Rio de Janeiro. The Convention took place from 3 to 14 June, 1992. The UNFCCC is an international environmental treaty designed to “stabilize greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system”. The UNFCCC had non-binding limits on greenhouse gas emissions for individual countries and the framework was only meant for formulating precise international treaties (called “Protocols” or “Agreements”). It contained no execution mechanisms, however, it considered some negotiations and suggestions to formulate the action plans and regulation guidelines under UNFCCC to fulfill the objective of reduction of GHG emissions to the desired level.

PV clad structures and hybrid devices for rural and agricultural applications have been developed after considering different design aspects, climatic parameters, solar radiation availability on different planes, heat transfer coefficients, performance of PV in arid region and inter phasing of different components while keeping in view, practicality, application and ease of operation. Performance of the developed systems was studied, mathematical model developed and energy savings worked out for techno-economic considerations. The chronology and details of the developed PV structures and hybrid devices are as follows:

Green structure for environmental control

First of all a Quonset type environment control structure having a length of 5.3 m and width 4 m was fabricated with angle iron and iron rods and it was covered by agro-net (75%) having surface area of about 55 m². The structure having a volume of 33 m³ was fixed with long side along east west direction and had provisions for incorporation of misting unit on west side and a door on east.

Background and Technology intervention

Instead of open channel irrigation, intervention of PVC pipeline system using gravitational hydraulic pressure can convey efficient water without the use of power. This will reduce conveyance loss and improve timely and equitable distribution of water to all farmers. As large number of open wells with pump sets are available, uninterrupted power supply is not available for on time irrigation during summer seasons. During such times, savings from tank water will be more helpful allowing the farmer to manage groundwater greatly.

Pyometra meaning “pus filled uterus” is a condition in cow which is characterized by progressive accumulation of pus in the uterus, presence of persisting CL, absence of estrus and regular estrus cycles and a closed cervix. Pyometra occurs following chronic endometritis in most cases as uterus fails to produce endogenous CL regressing agent i.e. PGF2a. So, the CL of diestrus persists resulting in failure of elimination of uterine infection as the animal remains under the continuous influence of progesterone. Progesterone production from the persistent CL causes closure of cervix, pus accumulation in the uterus and consequently leading to enlargement and distension of uterus.

26.1. Origin

• Native to Dalmatia (Yugoslavia), Herzegovina and Montenegro.

26.1. Economic importance

• Natural insecticide from dried flower heads.

• Seed or achene contains Pyrethrin I, II, Cinerin I, II, Jasmolin I, II collectively called Pyrethrins.

26.2. Varieties and types

• KKL-1 released from TNAU.

• Hansa and Jhelum released from CIMAP, Lucknow.

• Sel-2 - developed at the Kodaikanal Centre of CIMAP.

• Two types

? Dalmatian pyrethrum: C. cinerariaefolium, grown on the Easte Coast of the Adriatic Sea.

? Japanese pyrethrum also derived from C. cinerariaefolium.

Scientific name: Chrysanthemum cinerariaefolium L.
Family: Asteraceae
Pyrethrum (Chrysanthemum cinerariaefolium L.) is a hearty perennial flower that thrives in interesting and challenging environments. It has been used for centuries as a natural insecticide. The pyrethrum daisy was first documented 2000 years ago, during the Chou Dynasty in China.
Origin and distribution
Pyrethrum originated in China over 2000 years ago and was later introduced to East Africa, where it is currently grown in Kenya, Uganda, Tanzania, and Rwanda. It is also grown in Tasmania, Australia, Ecuador, and Papua New Guinea.
Botany
Pyrethrum is a white flower-headed, tufted perennial herbaceous plant. It possesses deeply lobed leaves and has a numerous and fibrous shallow root system that extends up to 30 cm. The plant features numerous fairly rigid stems that grow up to 50-80 cm in height, accompanied by blue-green, deeply divided leaves. Notably, these leaves are covered on both sides by a dense, woolly material.

3.1 Overview of pyrolysis technology

Pyrolysis is a process derived from the Ancient Greek words “pyro” meaning f ire and “lysis” meaning separation, which means separating by using heat or fire. This is a thermochemical conversion process that converts biomass into a useful intermediate liquid product, which can be further transformed into a hydrocarbon biofuel, oxygenated fuel additive, or substitute for petrochemicals. Pyrolysis is similar or overlapping with other thermochemical processes such as cracking, carbonization, torrefaction, destructive distillation, dry distillation, and thermolysis. It is not related to gasification, which involves chemical reactions with a gasification medium.

5.1 Introduction

Today, energy distribution and environmental issues have developed into international threats. Demand for alternative fuels increases every day due to rapid population growth, rising living standards, and economical sustainability. With its massive population, India has become the fourth largest energy consumer country in the world after the United States, China, and Russia. Because most nations use fossil fuels to fulfill their energy demands, they create negative impacts on the environment including raising global temperatures, pollution, acid rain, and other effects. As such, the quest for alternative fuels derived from renewable resources has captured significant attention throughout the world¹. Biomass as a renewable energy sources is an important asset for achieving economic development is due to the availability of biomass at a low cost, a good conversion efficiency, the addition of jobs, and an increase in the biodiversity^2,3. Typically, biomass is composed of cellulose (40-50%), hemicelluloses (25-35%), and lignin (15-30%). Large amount of resources for biomass are available such as woody biomass, crop residues and their by-products, food processing waste, municipal solid waste, aquatic plant etc.

In the present context, pyrolysis process has been received a remarkable identity as a potential method for the conversion of any organic biomass into valuable energy rich products due to its simple in operation and also required a reasonable cost for conversion process. Pyrolysis is the thermal decomposition of any organic material at a specific temperature in absence of air/oxygen; the process ends with three resulting products, namely liquid (bio-oil), solid (biochar), and syngases⁴. Recently, biooil produced through pyrolysis process and further it up grading has been attracted a significant attention due to its major use as biofuel and as a precursor material for making chemicals⁵. The pyrolysis process also classified in three different types as per its operating conditions; slow, fast and flash pyrolysis.

8.1 General

Pyrolysis is a process that utilizes heat or fire to separate biomass, derived from the ancient Greek words “pyro” meaning fire, and “lysis” meaning separation. A thermochemical conversion process transforms biomass into a useful intermediate liquid product. This product can then be converted into a hydrocarbon biofuel, oxygenated fuel additive, or a petrochemical substitute. Pyrolysis shares similarities with other thermochemical processes such as cracking, carbonization, torrefaction, destructive distillation, dry distillation, and thermolysis. However, it is not related to gasification, which involves chemical reactions with a gasification medium.

This chapter focuses on the design and performance evaluation of pyrolyzers, which are key components in producing biochar, biofuels, and other valuable products through the pyrolysis process. Pyrolyzer play a crucial role in converting biomass feedstock into desired end products, and their design greatly influences process efficiency and product quality. The chapter discusses various aspects of pyrolyzer design, including reactor types, operating conditions, heating methods, feedstock characteristics, and process optimization. It also explores performance evaluation methods to assess pyrolyzer efficiency, product yield, biochar quality, and energy consumption. The information presented in this chapter aims to provide researchers, engineers, and practitioners with valuable insights into pyrolyzer design and performance evaluation for efficient and sustainable biomass conversion.

18.1 Library Introduction

This library contains modules for various types of functionalities. Some commonly use module of python standard library are:

(i) math module: which provides mathematical function to support difference types of calaculations.

(ii) cmath modules: which provides mathematical function for complex number.

(iii) random module: which provides function generation random number.

(iv) staticstics module: which provides mathematical satical function.

(v) urllib module: which provides URL handling function so that you can access websites from within your program.

1. NmPy library, provides some advance math functionalities along with tools to create and manipulate numeric arrays.

2. Scipy library, provides algorithmic and mathematical tools for scientific calculations.

2.1 Operators

Operators are those who perform some specific operation. Python has a wide variety of operators. The various python operators are categorized into:

1. Arithmetic operators

2. Comparison/relational operators

3. Assignment operators

4. Logical operators

5. Identity operators

6. Membership operators

7. Bitwise operator

12.1 Introduction Basic Functionality

By now, we learnt about the three Pandas DataStructures and how to create them. We will majorly focus on the DataFrame objects because of its importance in the real time data processing and also discuss a few other DataStructures.

12.2 Series Basic Functionality

Let us now create a Series and see all the above tabulated attributes operation

Example

import pandas as pd

import numpy as np

#Create a series with 100 random numbers

s = pd.Series(np.random.randn(4))

print(s)

Its output is as follows:

0 0.967853

1 -0.148368

2 -1.395906

3 -1.758394 dtype: float64

13.1 Statistical Functions

Statistical methods help in the understanding and analyzing the behavior of data. We will now learn a few statistical functions, which we can apply on Pandas objects.

Percent_change

Series, DatFrames and Panel, all have the function pct_change(). This function compares every element with its prior element and computes the change percentage.

Example

import pandas as pd

import numpy as np

s = pd.Series([1,2,3,4,5,4])

print s.pct_change()

df = pd.DataFrame(np.random.randn(5, 2))

print(df.pct_change())

14.1 Basic Plotting: plot

This functionality on Series and DataFrame is just a simple wrapper around the matplotlib libraries plot() method.

Example

import pandas as pd

import numpy as np

df = pd.DataFrame(np.random.randn(10,4),index=pd.date_range(‘1/1/2000’, periods=10), columns=list(‘ABCD’))

df.plot()

Its output is as follows:

If the index consists of dates, it calls gct().autofmt_xdate() to format the x-axis as shown in the above illustration.

Financial modeling programs integrated with data analytics using Python have transformed the way financial analysis, forecasting, and decision-making are conducted. Python provides a powerful, flexible, and scalable environment that enables analysts to move beyond traditional spreadsheet limitations and build sophisticated models capable of handling large and complex datasets. Its growing adoption in finance is driven by its ability to combine data processing, statistical analysis, automation, and visualization within a single ecosystem. The foundation of Python-based financial modeling lies in efficient data handling and preprocessing. Financial data is often sourced from multiple channels, including databases, APIs, and flat files, and must be cleaned and structured before analysis. Libraries such as pandas and NumPy provide robust tools for organizing data into structured formats,

Python has emerged as one of the most popular and versatile programming languages in the contemporary world of computing. Developed by Guido van Rossum and first released in 1991, Python was designed with a clear emphasis on simplicity, readability, and ease of use. Its syntax closely resembles natural language, making it an ideal choice for beginners as well as experienced programmers. Over the years, Python has evolved into a powerful, high-level language that supports multiple programming paradigms, including procedural, object-oriented, and functional programming. One of the defining features of Python is its readability and clean structure, which allows developers to write clear and concise code. Unlike many other programming languages that rely heavily on complex syntax and punctuation, Python uses indentation to define code blocks, promoting better organization and reducing the likelihood of errors. This design philosophy not only enhances code clarity but also encourages good programming practices,

Financial modeling using Python has emerged as a highly effective approach for modern finance, combining the flexibility of programming with the analytical rigor required for accurate forecasting and decision-making. Python is particularly valuable because it can handle large datasets, automate repetitive tasks, and integrate advanced statistical and machine learning techniques into financial models, surpassing the limitations of traditional spreadsheet-based approaches. Its extensive libraries, such as pandas, NumPy, scikit-learn, and matplotlib, make it an ideal tool for building robust and dynamic financial models. The foundation of financial modeling in Python begins with data acquisition and preprocessing. Financial data is often sourced from databases, APIs, or CSV files, and Python provides efficient tools to import and clean this information. The pandas library allows analysts to create dataframes, which are flexible structures for organizing, filtering, and transforming data. Preprocessing tasks, such as handling missing values, normalizing variables, and converting date formats, ensure that datasets are ready for accurate modeling. This step is critical, as errors or inconsistencies in the data can lead to incorrect forecasts and flawed financial decisions. Once the data is prepared, Python enables comprehensive exploratory data

Q fever (query fever) is an important global occupational zoonotic disease caused by a bacteria Coxiella burnetti. It is an OIE notifiable disease and showing an emerging and reemerging trend in different parts of the world. It is having great public health importance as the pathogen is transmitted through almost all routes but predominantly by aerosols from reproductive discharges of animals of farm and pet animals which serve as main reservoir of infection. The organism is shed in milk and foods of animal origin for very long period. Q fever is associated with a wide clinical spectrum and most of its acute infections are either asymptomatic, mild or resemble to influenza. Presently, the infection is endemic in many areas and its prevalence has been confirmed in at least 51 countries including India.

Etiology: C. burnetti was classified as a member of Rickettsiaceae family however, recent scientific investigations on 16S RNA based sequence analysis have shown that it is genetically more comparable to bacterial families covering genus Francisella and Legionella therefore it has been reclassified in the family Coxiellaceae or order Legionellales. It is a Gm-, pleomorphic rods (0.2-0.41μX0.4-1.0μ) or sphere (0.3μ-0.4μ in diameter in size) and an obligate I/C organism. It is relatively resistant to physical and chemical agents. The bacterium occurs in two antigenic forms - the pathogenic form (phase I) found in infected animals or humans and the avirulent form (phase II) obtained by repeated passagein embryonated eggs or in cell culture. Phase II cells are autoagglutinable and are readily phagocytosed in the absence of specific antibodies. Phase I activity is attributed to surface carbohydrate antigen which is soluble in trichloracetic acid and is destroyed by periodate. Phase I is a more powerful immunogen than phase II and elicits antibodies in high titer to both antigens. Phase II antigen gives better results in CFT with human and animal sera. Q fever sera do not react with other rickettsial antigens or with Proteus. In nature, bacterium exists mainly in 3 forms, namely - the small cell variant (SCV), the small dense cells (SDC) which are spore like forms that remain very stable in the environment as extracellular infections particles and the large cell variant (LCV) which is the growing and metabolically active form inside the host. In view of the potential for transmission of this infection from animal to people, the disease has been classified as a notifiable OIE disease.

Q₁₀ (Temperature coefficient): The ratio of the rate of chemical reaction at a particular temperature to the rate of that chemical reaction exactly at 10°C lower.

Qualitative photoperiod: Qualitative plants are those in which a particular photoperiod is an absolute requirement for the occurrence of a response. Ex: Common cocklebur

Qualitative response (absolute response, obligatory response): A plant response, usually flowering, that absolutely depends on some day length, temperature, or other environmental stimulus. If the plant does not experience the required stimulus, the response does not occur (e.g., the plant remains vegetative). Opposite to quantitative response.

Quantasomes : Quantasomes are particles found in the thylakoid membrane of chloroplasts in which photosynthesis takes place. They are embedded in a para crystalline array on the surface of thylakoid discs in chloroplasts. They are composed of lipids and proteins that include various photosynthetic pigments and redox carriers.

Quercus baloot Griffith (Fagaceae): Eng.- Holy Oak; Kash.- Jamal Gota/ Baloote Kashmir [W/UC]. A small rounded evergreen tree. Leaves are coriaceous, oblong-ovate to lance shaped, entire or with spiny -toothed margins. Acorns oblong-ovoid to nearly rounded, solitary or in groups of 2 or 3. Grows as a hard wood element of forests. Also grown as ornamental.

Qualitative approach to research: Qualitative approach to research is concerned with subjective assessment of attitudes, opinions and behaviour. This type of approach to research generates findings either in non-quantitative form or in the form which are not concerned with the rigorous quantitative analysis. Commonly, the techniques of focus group interviews, projective techniques, and depth interviews are used.

Q10 value: The number of times a reaction rate change with a 10oC change in temperature is called Q10 value. If reaction rate doubles with 10oC change in temperature, Q10 = 2. It is also called temperature quotient.

Q-enzyme: It is a branching enzyme responsible for formation of 1-6 bonds in amylopectin.

QHV process: It stands for Quality Has Value Process.

QO2 : It is a unit for measurement of respiration. Or It is the oxygen uptake in microlitres per milligram on dry weight per hour.

Quailing: In this practice the oranges are kept in the baskets in which they are harvested to allow the fruit to loose little moisture. It is done for a couple of hours before transport to packhouse. This practice would allow the fruit to lose a little moisture which is called quailing. This operation is done for oranges to prevent Oleocellosis.

Qualitative measurement: It is a subjective / objective measurement of the quality of the product for presence of certain compound. It gives the idea of the presence or absence of the particular compound. It deals with the nature of the substance and not its amount or quantity.

Quality assurance: Planned and systematic actions necessary to provide adequate confidence that goods or services will satisfy given requirements. For the food industry, this is a customer-focused management system, whose aim is to guarantee food safety and con- sistent product quality by application of production, processing and handling standards. Proactive food safety programmes, in particular those based
on Hazard Analysis Critical Control Point (HACCP) principles, are the foundation of many food quality as- surance systems.
Quality control: A system of maintaining standards in manufactured products by testing a sample against the specification.
Quantitative descriptive analysis: Comprehensive system used in sensory analysis that covers sample collection, assessor screening, vocabulary development, testing and data analysis. Quantitative descriptive analysis (commonly abbreviated to QDA) uses small numbers of highly trained assessors. Once the training sessions have established satisfactory panel performance, and removal of ambiguities and misunderstandings, the test samples can be evaluated. This is carried out in replicated sessions using experimental designs that minimize biases. Three major steps are required: development of standardized vocabulary; quantification of selected sensory
characteristics; and analysis of results by parametric statistics.

QTL Traits

Polygenic inheritance, also known as quantitative or multifactorial inheritance refers to inheritance of a phenotypic characteristic (trait) that is attributable to two or more genes and their interaction with the environment. Unlike monogenic traits, polygenic traits do not follow patterns of Mendelian inheritance (qualitative traits). Instead, their phenotypes typically vary along a continuous gradient depicted by a bell curve. Though not necessarily genes themselves, quantitative trait loci (QTLs) are stretches of DNA that are closely linked to the genes that underlie the trait in question. QTLs can be molecularly identified (for example, with PCR or AFLP) to help map regions of the genome that contain genes involved in specifying a quantitative trait. This can be an early step in identifying and sequencing these genes.

Quail bronchitis (QB) is caused by group I (aviadenovirus). QB is an acute respiratory disease of bobwhite quail, occasionally with high mortality. Disease has sporadic occurrence many parts of the world. QB virus is closely related to the prototype CELO (chick embryo lethal orphan) virus, which is cause of high mortality in chicks.

Introduction

Quails are also called as Bater in Hindi. Quail farming business is economically very profitable. Quail farming in India is now recognized as an organized and scientifically based farming and a potential tool to fight with poverty and malnutrition. There is considerable scope for increasing the egg production further to meet the growing demand. The importance of quails in the poultry scenario of India is well recognized and quail production has registered a remarkable progress in the country since its introduction during mid seventies. Japanese quail farming offers a viable and practical solution to the problems of animal protein shortage and unemployment in developing countries. For small holders, it is an important source of income and employment generating venture besides providing nourishing food. Quail farming has been accepted by farmers as a potential alternative to chicken farming because of its small size, short incubation period, less floor space requirement, rapid growth, early onset of egg production, short generation interval, high rate of egg production, less susceptible to disease and low feed intake.

Quails are one of the most efficient biological machines for converting feed into animal of high biological value. At present in India, quails occupy the third largest position among poultry species next to the chicken and ducks. Quail meat is renounced for richness in vitamins, essential amino acids, unsaturated fatty acids, phospholipids and macro and micro elements. Cholesterol level is low as compared to chicken in quail egg and quail meat. Quail can adapt to varying environmental condition because of its hardy nature. Quail production requires less investment, gives quick return and higher profits and hence can be adapted by rural mass quickly. Incubation period of Japanese quail is 18 days. The Bob white quail is the second most important breeds of quail. Incubation period is 21 days. Quails were introduced in India in CARI in Izzatnagar in 1976 procuring hatching eggs from University of California.

Qualitative characters are those characters which show discontinuous or discrete differences and are counted into different classes and there is no need to measure them. Typically speaking, characters studied by Mendel in garden pea whose results were published in 1966 as Mendel’s Law were the typical characters that fitted into this class of characters in those days. To recall, these characters were (i) tall vs dwarf plants, (ii) round vs wrinkled seeds, (iii) yellow vs green pods, (iv) violet vs white flowers, (v) flat pods vs constricted pods, (vi), green pods vs yellow pods and (vii) axial flowers vs terminal flowers. Mendel postulated “Factors” responsible for these differences and he could explain his results of F₂ in ratio of 3:1 while dealing with one trait at a time and 9:3:3:1 while dealing with two traits simultaneously and proposed (i) law of segregation and (ii) principles of independent assortment to explain these ratios. Later on the term “factor” was called as gene.

7.1 Introduction

For qualitative and quantitative analysis of phytochemicals, chromatography can be used. Gas chromatography is a powerful means of performing qualitative and quantitative measurements of complex mixtures of volatile substances, which are vaporizable without decomposition.Gas Chromatography-Mass Spectrometry (GCMS) system is a widely used instrument for qualitative and quantitative analysis of solid, liquid, and gaseous samples. Samples are converted into gaseous ions and then separated on the basis of their mass-tocharge ratio. This technique is capable of providing information about 1. the qualitative and quantitative composition of both inorganic and organic analytes in complex mixtures; 2. the structure of a wide variety of complex molecular structures; 3. isotopic ratios of atoms in samples; and 4. the structure and composition of solid surfaces. High performance liquid chromatography (HPLC) is a physico-chemical separation technique for the qualitative and quantitative analysis of mixtures consisting of compounds soluble in solvents, e.g. all organic compounds and inorganic ions. Advances in the applications of thin-layer chromatography (TLC) and high-performance thin-layer chromatography (HPTLC) for the separation, detection, and qualitative and quantitative determination of compounds has also increased.

For qualitative and quantitative analysis of phytochemicals, chromatography can be used. Gas chromatography is a powerful means of performing qualitative and quantitative measurements of complex mixtures of volatile substances, which are vaporizable without decomposition.Gas Chromatography-Mass Spectrometry (GCMS) system is a widely used instrument for qualitative and quantitative analysis of solid, liquid, and gaseous samples. Samples are converted into gaseous ions and then separated on the basis of their mass-tocharge ratio. 

Quantitative Versus Qualitative Inheritance

There is a continuum of traits being inherited as a Mendelian trait with simple inheritance and traits having quantitative inheritance without well separated classes and with many genes involved.
Classification of traits in relation to mode of inheritance and environmental tolerance are shown in Figure 1.2. First there are the well known traits with simple Mendelian mode of inheritance. The trait with quantitative genetic inheritance is caused by segregation of many gene pairs, each with small effect. At the same time the trait is influenced by a lot of minor environmental effects.
Diseases will often be ‘either/or traits’ as the simple Mendelian traits. Cases in which the severity of the disease has a normal distribution can also be found. In many production diseases the disease only occurs when a genetically prone individual is exposed to adverse environmental effects. Figure 1. Classification  of traits in relation to mode of inheritance  and environmental tolerance. 
 

5.1 Introduction

The different qualitative chemical tests can be performed for establishing profile of given extract for its chemical composition. The following tests may be performed on extracts to detect various phytoconstituents present in them.

5.2 Detection of Alkaloids (Evans, 1997)

Solvent free extract, 50 mg is stirred with few mL of dilute hydrochloric acid and filtered. The filtrate is tested carefully with various alkaloidal reagents as follows:

The different qualitative chemical tests can be performed for establishing profile of given extract for its chemical composition. The following tests may be performed on extracts to detect various phytoconstituents present in them.

Quality Adjusted Life Years (QALYs) : Calculated by adjusting the estimated number of life-years an individual is expected to gain from an intervention for the expected quality of life in those years. The quality of life score will range between 0 for death, to 1 for perfect health, with negative scores being allowed for states considered worse than death

The ultimate aim of production, handling and distribution of vegetables is to satisfy the consumers, and it is well known fact that consumer satisfaction depends on quality of the produce what he gets (Shewfelt et al., 1997). The term quality implies the degree of suitability of produce for a particular use. Quality can be expressed as an absence of defects or degree of excellence of the produce in respect to appearance, i.e., size, shape and colour. Quality is a bundle of attributes that are inherent in the produce and can readily be quantified throughout handling and distribution. It may also be defined as a series of attributes selected based on accuracy and precision of measurement. For grades and standards, the definition of quality is institutionalized so that it may have the same meaning for every one using it. Combination of characteristic features of the produce itself is termed as quality and that the consumer’s perception and response to those characteristic features should be referred to as acceptability.

Quality of produce encompasses sensory properties, such as appearance, texture, odour, aroma, taste and flavour that are readily perceived by the human senses and hidden attributes, such as safety, chemical constituents, nutritive values, mechanical properties, functional property and defects that require sophisticated instruments to measure (Abbott, 1999). Combination of sensory and instrumental measurements of quality attributes provides an estimate of customer acceptability. In a long chain from producer to the actual consumer, each passes judgment and each has his own set of acceptability or quality criteria, often biased by personal expectations and preferences. The component attributes of quality vary with context. The choice of what to measure, how to measure it and what values acceptable to the consumer are determined by the person requiring the measurement, with consideration of the intended use of the produce. Quality can be measured, and it relates to consumer acceptability.

Wool is a natural fiber that possesses numerous outstanding characteristics, rendering it both functional and visually appealing. Nevertheless, not all wool is created equal; there exists considerable variation in the quality found in the marketplace. This explains the significant fluctuations in price, as some wool is of superior quality and therefore commands a higher price. Various factors influence the quality of this fiber and, consequently, its value. Below is a list of some of these factors.
a) The diameter of the wool fiber is the most critical factor affecting its quality and price. Generally, merino wool is regarded as the highest quality due to its fine texture, which produces an exceptionally soft fiber. In simple terms, the finer the wool, the greater its worth.
b) Consistency in fiber diameter is another vital aspect; the more uniform the fiber, the higher its value.
c) The colour of wool also plays a significant role in determining its value. Wool that is white or off-white can accommodate a wider array of dyes used in fabric manufacturing.
d) Staple strength is a measure of the fiber’s capacity to endure the production process. A higher staple strength results in less waste during manufacturing. Wool is a valuable by-product of sheep, differentiated from hair by its enhanced elasticity, flexibility, and curliness. The quality of wool is affected by factors such as shrinking, strengthening, and felting conditions. In their natural form, wool fibers are coated with wool grease (sweat) and wool soap or yolk (suint), which are secreted by specialized glands to preserve the wool’s condition. Wool is classified into three primary types of fibers:

In India farming was traditionally subsistence in nature but with the passage of time, the nature of farming has changed to commercialized system faming. With the commercialization of farming, price of the product along with its quality has become an important factor in marketing. Quality and safety issues have also gradually gained importance as people in general have become conscious and aware of the hygiene, health and safety issues related food and food products. Perishability of food items requires more emphasis on its quality and safety. The formal system of regulations in quality and safety standard has been mainly the contribution of the developed world. The International market has set a high standard of quality and safety of agriculture products. In the country the standardization of quality and safety of agricultural products has gained momentum in the last 10-15 years.

Hazard Analysis and Critical Control Points (HACCP)

Hazard Analysis and Critical Control Point is a comprehensive food safety system of food which starts from production to the ultimate consumption. HACCP monitors each and every step of production process, identify the specific hazards, implement the effective control programme and also verify the procedure. However, it is not a zero risk programme and there is possibility of risk of hazards in the process but the theme of programme is to minimize the risk of hazards upto a level which will be considered as safe. Thus HACCP programme is termed as risk management tool. It involves the management of all types of hazards like microbiological, chemical and physical.