eChapters

Introduction

In some practical field situations, the results are described by some percentages or proportions. In agricultural field conditions, if any disease prevalence is to find then in the form of percentage or proportion, we can say how much disease rate is present i.e., 10 % or may be any other. So, in those situations, we need to describe our results in proportions. Similarly, in many fields such as medical sciences, social sciences and other allied sciences this type of results in proportions we need to describe.

Yet now we have discussed probability sampling techniques in which sampling units are assigned with equal probabilities. But sometimes in practice if want to draw a sample with unequal probabilities i.e., every sampling unit is assigned with varying probabilities and we draw a sample from these units with the help of equal probability methods, then the results are not as much efficient as compared to unequal probability sampling.

Simple random sampling is a procedure wherein the chance of selection of every unit in the required sample is equal. However, the use of simple random sampling is not advisable when the units differ substantially in size as the significance of unit size is ignored.

The basic idea of this type of probability technique is that chance of each unit of a population being selected in the sampling is proportional to its size. The units vary significantly in size and the variable under study is largely related to the size of the unit. Therefore, the probabilities fixed for each unit are proportional to their sizes.

Introduction

Agroforestry offers both adaptation and mitigation options to climate change especially for the poor rural communities in the developing world. It is now getting ample attention from different investors, scientists, policy makers and international bodies due to its multiple benefits to the environment; and remain an important component of sustainable land use in agricultural production. Agroforestry provides economic, environmental, and social security to the vulnerable communities who are dependent on agricultural production for their livelihoods, and on forest/ trees for their energy requirement. Agricultual production is vulnerable to climate change, and there is a need to cushion these communities to be less vulnerable to climate change, or natural hazards. The suitable, sustainable and smart method is agroforestry based agriculture which offer host of ecosystem services to cope the vagaries of climate change, particularly in rural areas.

India is the largest goat producing countries in the world exhibiting rich diversity between and within goat breeds. The implementation of a genetic improvement programme requires a clear breed-based breeding objectives and selection criteria, tailored to the needs of goat farming community. Indigenous goat breeds bear a great degree of adaptability for climatic stress, tropical diseases and low quality feed resources, require low inputs for enhancing productivity, thus, little investment along with use of high merit bucks bring a great change in the economy of the farmers. There are currently 37 recognized goat breeds in the country which are kept mostly in small herds on extensive or partial semi-intensive feeding system. Productivity of Indigenous goats, however, observed less than their actual genetic potential and attributed to low input system, lack of suitable breed specific structural genetic improvement programme and poor adoption of technologies. A buck is the most important animal in the herd. A breeding male or buck contributes 50% of the genetic merit of the herd and also determine the future improvement rate.

Hygienic collection of semen is an integral part of the artificial insemination process. Semen collection implies mounting a teaser doe or a dummy. Therefore, proper semen collection deserves the utmost attention. Sexual efficiency is measured by the percentage or successful semen collections among attempted collections. When males are allowed to female teaser, the male exhibits characteristic behavioural symptoms such as sniffing, nudging or mounting at that time it is necessary for the operator to attempt an approach. This approach has to be done quietly to avoid a fear reflex in the male. The male, even if it mounts the female, deviation of its penis into the receptacle. Under the circumstances, the operator should not more from his squatting position, so that the male does not associate the two events. The animal generally comes back by itself to attempt remounting the female and will serve the artificial vagina. The operator should also stimulate the male by voice.

The semen evaluation is of great importance in predicting fertility of the male. There are several parameters to evaluate the semen quality. Usually bucks with good semen samples have good fertility and bucks with poor or very poor semen samples are invariably infertile or sterile. A single test is never sufficient to assess the semen quality and the examiner should be acquainted with several tests to evaluate the semen. The semen should be examined with in a shortest possible period after ejaculation and the ejaculate must be properly protected and handled until examination. Semen can be evaluated by following methods

1. Macroscopic test
2. Microscopic test
3. Metabolic test

The major requirement that distinguishes frozen semen/IVF laboratory from other laboratories is the need to maintain aseptic conditions. The wash up and sterilization of media and other equipments should be located at one end of the room and clean area for sterilize handling at the other end, and preparation, storage and incubation in between. The storage and incubation area should be near to the sterile working area.

In recent years, the introduction of laminar flow cabinets has been a great boon in providing a sterile working area and allows the use of unspecialized laboratory accommodation for culture work. For sterile work, area should be in a quiet part of the laboratory preferably in a cubicle where a laminar flow cabinet is suitably fitted. The area should be free from dust or draughts. Nothing should be stored on the laminar flow cabinet or bench used for sterile handling except most necessary equipments like holding pipettes etc. The laminar flow cabinets provide sterile air blown over the work surface. For laboratory, a horizontal laminar flow is more preferable as opposed to a vertical one because of ease of handling the ovaries etc. If an air curtain is provided at the door of the cabinet, introduction of dust etc. can be avoided. In India laminar flow are manufactured by companies like Clenzoids, Yorco etc, among others. The laminar flow size should be a minimum of 300 X 300 or 450 X 450 mm with a 12-18 in, square filter size).

The animals are mostly social ones and prefer living in herds. In each species there are certain rules for group survival, cohesion, defence and also for propagation. The basic patterns of male sexual behaviour appear to be innate in nature. Kids of both sexes are very often seen exhibiting sexual display during play and mounting is seen most commonly. In females the sexual receptivity is restricted to few hours or days near the estrous phase of the estrous cycle, while in males the sexual receptivity is grossly permanent. The physiological signals for arousal of sexual motivations originate from gonadal steroid balance. However, the secretion of gonadal steroids is not permanent. In males the androgen secretion is in the form of several peaks within 24 hours reflecting the pulsatile release of pituitary gonadotropins. However, the total amount of androgen in males is almost constant practically for day to day. In females the secretions of estrogens are restricted only during few days (follicular phase) of the estrous cycle.

6.1. Introduction

Food packaging has a significant contribution in preserving the quality of the food throughout the processing and storage. The package containing food should maintain the quality of the product for the longest time under particular environmental conditions. The quality of various food and beverages decline with the passage of time and food become unacceptable to consume. The time in which food deteriorates and become unacceptable is termed as shelf-life. The degradation of quality with time under storage conditions depends upon intrinsic as well as extrinsic factors. The shelf-life study of a product provides important information to manufacturer and consumer regarding the quality of the food product throughout the storage time.

The goat rearing on extensive rearing system has been practiced since ancestry for livelihood and nutritional security of poor, landless and marginal farmers of our country with the flock size ranging from 2-10 goats. However, in the recent past, goat rearing is shifting towards semi-intensive and intensive rearing systems for commercial purposes with flock size ranging from 25 to 500. The goats reared in small flocks needs minimal housing facilities following the scientific principles with low-cost structures. On the other hand, elaborate housing is generally recommended for goats raised under large scale commercial production systems. Separate housing arrangements for different categories of animals viz. growers, pregnant females, lactating females, breeding males, etc. are to be ensured for rearing goats scientifically for harnessing maximum output sustainably.

Simple Random Sampling (SRS)

Simple random sampling is probability sampling and refers to a technique of sampling where each and every unit of the population have an equal and independent opportunity of being selected and included in the sample during the sampling. In the SRS the selection of the sample depends on the chance factor and is also known as the method of probability sampling.

There are two ways in which SRS can be performed:

• SRSWR: Simple Random Sampling With Replacement
• SRSWOR: Simple Random Sampling Without Replacement

Biology is in the middle of a major paradigm shift driven by computing technology. Due to the impact of information technology, biological sciences have been rapidly becoming much more computational and analytical. Rapid progress in research in the field of genetics and related field combined with the tools provided by modern biotechnology has generated massive volumes of genetic and protein sequence data over last two decades. Compilation, storage, analysis for extraction of information and knowledge from this data becomes a challenging task as usual analytical procedures are not directly applicable to these data sets.
 
Bioinformatics has been defined as a means for analysing, comparing, graphically displaying, modeling, storing, systemising, searching, and ultimately distributing biological information, which includes sequences, structures, functions, and phylogeny. Thus, bioinformatics may be defined as a discipline that generates computational tools, databases, and methods to support genomic and post-genomic research. It comprises the study of DNA structure and function, gene and protein expression, protein production, structure and function, genetic regulatory systems, and clinical applications. Bioinformatics applications need knowledge from computer science, mathematics, statistics, medicine, chemistry and biology.

1.     Concentration

Multistage Sampling

Multistage sampling is a form of random sampling where samples are selected in a sequence of stages. Where each sample is drawn from the exclusive previously selected samples. This sampling is not done once but at multiple stages. It differs from cluster sampling in the sense that cluster uses all the subjects within a cluster whereas multistage selects a sample from within the selected group. Groups are randomly chosen from a population; subgroups from these groups are randomly chosen and then randomly chosen to be surveyed.

This is an extension of cluster sampling, which is carried out in multiple stages say two, three or four stages. In the first stage, the universe is divided into some clusters from which certain clusters are selected at random at the first stage samples. In the second stage, the selected first stage samples are again subdivided into some clusters from which again certain clusters are selected at random as the second stage samples. In the third stage, the selected second stage samples are again subdivided into some clusters from which certain clusters are again selected at random as the third stage samples.

Q.1.    What is split plot experiment ?

    Answer
    
    If one has to study two type of factors say A and B in the same experiment where A requires larger plot size and B requires smaller plot size then the structure of the experiment will be that of plots within blocks are known as split plots and blocks within replication are known as main (whole) plots. Such a layout of the experiment is known as split plot experiment.

Stratified Sampling (Meaning and Concept)

The word ‘stratify’ comes from the Latin word, meaning ‘to make layers’, thus in stratified sampling the whole population is considered to be classified into some mutually exclusive layers or subgroups or classes also called strata. The strata do not overlap and they constitute the whole population.

Why the population is considered to be divided into different strata (or layers or subgroups or classes)?

Q.1.    Define strip plot design ?

    Answer
    
    There is a variant of the split plot design in which both factors A and B will be applied to the larger strips by dividing the experimental field into as many rows as the number of levels of one factor A and into as many columns as the number of levels of second factor B. Then the two factors will be applied at random to the rows and columns. Such a layout is known as strip plot design.

Introduction

Zymomonas mobilis, a gram negative, anaerobic, micro aerotolerant, ethanologenic bacterium metabolizes glucose, fructose, and sucrose. One of the major factor that limits the usage of Z. mobilis is the narrow substrate range. Moreover, there are no obvious genes reported for using lactose, maltose or cellobiose. Our preliminary sequence analysis of the Zymomonas mobilis ZM4 genome indicated the presence of a putative beta-galactosidase (bga) gene. However, the mechanism of beta-galactosidase (Bga) function is still unknown. Hence, Bioinformatics analysis was made to predict the physicochemical, biochemical and biophysical properties, domains, secondary and tertiary structures of the putative beta-galactosidase. These studies suggested that the putative beta-galactosidase gene was poorly expressed from its native promoter in Z. mobilis. The absence of beta-galactoside transacetylase and permease genes in Z. mobilis led to its inability to metabolize lactose. Hence, function predictions of Bga are performed because of the fact that it has a homologous partner.

2.1 Manufacturing Process of Sugar

There are a number of steps in producing raw sugar from cane

1. Sugarcane receiving and unloading (receive the cane at the factory and unload it from the transport vehicles)
2. Sugarcane preparation (cutting and shredding cane to prepare it for juice extraction)
3. Extraction of Sugarcane Juice (two technologies are in common use; milling or diffusion)
4. Juice clarification (remove suspended solids from

1    Ideal surgical pack

2    Nerve blocks

3    Commonly used pre-anaesthetics and anaesthetics