eChapters

Introduction

Livestock contribute directly to the livelihoods of nearly one billion of the world’s population. Livestock provide protein and minerals for human consumption, manure for crop production, and fibre and leather for industrial uses. Animals are also a source of draught power. Beyond their role of providing food and inputs for agriculture and industry, livestock provide security to farmers in developing countries, especially in emergencies such as crop failure. To many of the resource-poor, both smallholder farmers and landless livestock keepers, animals are a living bank, facilitating both income distribution and savings. In addition, by consuming crop residues and by-products, in addition to well-managed grazing, livestock production contributes positively to the environment, particularly in mixed crop-livestock production systems. Thus, livestock are an important source of income and employment that contribute to poverty alleviation and enhance the household food security of farmers.

The concept of value, expressible in the metric units by which the character is  measured. The value observed when the character is measured on an individual is the phenotypic value of that individual. All observations of means, variance, or covariances, must clearly be based on measurements of phenotypic values. In order to analyse the genetic properties of the population we have to divide the phenotypic value into two componants. 
The first division of phenotypic value is into components attributable to the influence of genotypic and environment. The genotype is the particular assemblage of genes possessed by the individual, and the environment is all the non-genetic circumstances under the term ‘environment’ means that the genotype and the environment are by definition the only determinants of phenotypic value. The two components of value associated with genotypic value and the environmental deviation. 

The evolution process took millions of years to develop human and animals on the top of the hierarchy. It has moved forward due to ability to survive the various deadly diseases as for the survival of any leaving creature, it have to overcome the threat posed by the pathogens surviving in its environment and most of the time in its close vicinity. These microbes are smarter than us and are the best example of the survival of the fittest. To overcome these, nature has provided defense system to all leaving creatures that neutralize the invasion of pathogens or undesired microbes. The concept is based on the detection of self and nonself molecules.

History

Pauling and his colleagues coined the phrase "molecular disease" in 1949, based on their finding that a single amino acid shift in the β-globin chain causes sickle cell anemia, which is characterized primarily by repeated bouts of acute pain due to vessel occlusion. In theory, their discoveries laid the groundwork for molecular diagnoses, though the major breakthrough came many years later. At the time, when molecular biology was only rapidly growing, providing molecular diagnostic services was unthinkable and practically impossible. In the early days of recombinant DNA technology, many scientists from different f ields collaborated to provide the first seedlings of molecular diagnostics.

Introduction

However, most of the crops get damaged by pest infestation, microbial attacks, and insufficient nutrient availability. Currently, the primary goal of world’s agriculture is to fulfil the nutritional demand of the rapidly growing population. Nanotechnology tries to fill the gaps in agriculture to become more resilient, while making sure there is enough food for everyone. As a result, nanoparticles are evolving into a cutting-edge material that will change how contemporary agriculture is done. The use of nanotechnology in agriculture encompasses the creation of novel materials, devices, and systems at the nanoscale to enhance the efficiency, productivity, and sustainability of agriculture. This technology has the potential to bring a revolutionary change to the field of agriculture by offering innovative solutions to various agricultural problems.

A non parametric test (sometimes called a distribution free test) is a statistical analysis method that does not assume the population data belongs to some prescribed distribution which is determined by some parameters. That means, a non-parametric test can be defined as a test that is used in statistical analysis when the data under consideration does not belong to a parameterized family of distributions. When the data does not meet the requirements to perform a parametric test, a non-parametric test is used to analyze it. The non-parametric test compared to parametric test, which makes assumptions about a population’s parameters (for example, the mean or standard deviation); When the word “non parametric” is used in stats, it means that population data does not have a normal distribution.

If at all possible, we should us parametric tests, as they tend to be more accurate. Parametric tests have greater statistical power, which means they are likely to find a true significant effect. Nonparametric tests can perform well with non-normal continuous data if the data of the sample are sufficiently large. Non parametric do not assume that the data is normally distributed. The only non parametric test we are likely to come across in elementary stats is the Chi-square test. In nonparametric tests have several advantages as compared to parametric tests. It includes:

• More statistical power when assumptions for the parametric tests have been violated.

• Fewer assumptions, i.e. the assumption of normality don’t apply.

• Small sample sizes are acceptable.

• It is used for all data types, including nominal data, rank data or ordinal data

• Knowledge of the population is not required to conduct this test.

• Nonparametric tests are valid when our sample size is small and our data are potentially non-normal.

The fungal exometabolome represents the collection of metabolites secreted by fungi into their surrounding extracellular environment. This chapter introduces the concept of the fungal exometabolome and distinguishes it from the intracellular endometabolome. It discusses the composition of extracellular metabolites, factors influencing their production, methods used for exometabolome analysis, and their biological functions. Fungal exometabolites can contribute to communication, nutrient acquisition, competition, host interactions, and environmental adaptation. The chapter also examines industrial and medical applications and the role of fungal exometabolomics in systems biology. Advantages, limitations, analytical challenges, and future perspectives are discussed to demonstrate the value of extracellular metabolite analysis in fungal research.

WATER IS VERY SPECIAL IN BIOLOGY

Most abundant chemical of life

Special properties:

I. WALL COMPONENTS – CHEMISTRY

The main ingredient in cell walls are polysaccharides (or complex carbohydrates or complex sugars) which are built from monosaccharides (or simple sugars). Eleven sugars are common in these polysaccharides including like glucose and galactose. Carbohydrates are good building blocks because they can produce a nearly infinite variety of structures. There are a variety of other components in the wall including protein, and lignin. Let’s look at these wall components in more detail:

A. Cellulose: β1,4-glucan (structure provided in class). Made of as many as 25,000 individual glucose molecules. Every other molecule (called residues) is “upside down”. Cellobiose (glucose-glucose disaccharide) is the basic building block. Cellulose readily forms hydrogen bonds with itself (intra-molecular H-bonds) and with other cellulose chains (inter-molecular H-bonds). A cellulose chain will form hydrogen bonds with about 36 other chains to yield a microfibril. This is somewhat analogous to the formation of a thick rope from thin fibers. Microfibrils are 5-12 nm wide and give the wall strength - they have a tensile strength equivalent to steel. Some regions of the microfibrils are highly crystalline while others are more “amorphous”.

ALL MOLECULES MOVE CONTINUOUSLY BY SIMPLE DIFFUSION

Heat energy causes molecules to move randomly (sometimes called Brownian motion)

If the concentration of molecules is different in 2 regions (this produces a concentration gradient), diffusion will cause molecules to move from a region of high concentration to one of low concentration

The higher the concentration gradient the more rapid the net diffusion

Diffusion evens out the concentrations so they are equal everywhere (maximum entropy)

If 2 different substances have the same concentration gradient, usually one will move faster than the other

Differences in speed between molecules with the same concentration gradient are given in terms of diffusion constants

A substance with a high diffusion constant moves faster than one with a low diffusion constant

In general, large molecules move slower than small molecules

Diffusion across a membrane is called permeability, and membrane diffusion constants are called permeability constants

PCR Principles and Procedure

Polymerase chain reaction (PCR) is a technique that allows the generation of large amounts of a single DNA sequence from a mixture of sequences; the fragment generated can be designed to contain specific starting and ending positions based on the needs of the experiment. PCR is used to amplify specific regions of a DNA strand (the DNA target). This can be a single gene, a part of a gene, or a non-coding sequence. Most PCR methods typically amplify DNA fragments of up to 10 kilo base pairs (kb), although some techniques allow for amplification of fragments up to 40 kb in size.

A basic PCR set up requires several components and reagents. These components include:

Preliminaries
    
Results on 22 Factorial Experiment
    
23 Experiment in r Replication
    
Confounding

The concept of value, expressible in the metric units by which the character is measured. The value observed when the character is measured on an individual is the phenotypic value of that individual. All observations of means, variance, or covariances, must clearly be based on measurements of phenotypic values. In order to analyse the genetic properties of the population we have to divide the phenotypic value into two componants.
The first division of phenotypic value is into components attributable to the influence of genotypic and environment. The genotype is the particular assemblage of genes possessed by the individual, and the environment is all the non-genetic circumstances under the term ‘environment’ means that the genotype and the environment are by definition the only determinants of phenotypic value. The two components of value associated with genotypic value and the environmental deviation.
The mean environmental deviation in the population as a whole is taken to be zero. So that the mean phenotypic value is equal to the mean genotypic value. The term population mean than refers equally to phenotypic or to genotypic values. When dealing with successive generations we shall assume for simplicity that environment remains constant from generation to generation so that the population mean is constant in the absence of genetic change. If we replicate thea particular genotype in a number of individuals and measure them under environment conditions normal for the population, their mean environmental deviations would be zero and their mean phenotypic value would congiguently be equal to the genotypic value of that particular genotype.
In principle it is measurable, but in practice it is not, except when we are concerned with a single locus where the genotypes are phenotypically distinguishable or with the genotypes represented in highly inbred lines for example, considering a single locus with two alleles. A1 and A2, we call the genotypic value of one homozygote + a, that of the other homozygote – a and that of the heterozygote d (we shall adopt

The polymerase chain reaction (PCR) is a rapid way of amplifying (duplicating) specific DNA sequences

Method was devised by Kary Mullis of Cetus Corporation, Emeryville He recieved a $20,000 bonus and later a Nobel Prize

DNA heated to high temperature is not destroyed; separates into single strands, but reforms helix when cooled

PCR Method:

DNA to be amplified is put into solution containing:

WHAT IS PLANT?

A. Definition - by most definitions, a plant:

is multi-cellular;

is non-motile

has eukaryotic cells

has cell walls comprised of cellulose

is autotrophic; and

exhibits alternation of generations - has a distinctive diploid (sporophyte) and haploid (gametophyte) phase.

Test for Significance for Population Mean
    
Test for Significance of Population Proportion

Introduction

India is a vast country comprised of different agro-ecological regions with diverse climate, natural vegetation resources, topography, possesses almost all domesticated animal species, landraces and crops with different production systems. Domestic animals provide a considerable amount of   food requirements for mankind. India ranks first in milk production with 112.5 million tonnes milk produced in 2010-11. As India is a tropical country, in summer the temperature hikes about 40-48°C in various parts of the country. Such a temperature is certainly not within the comfort range of animals and thus the animals respond to the stress imposed by temperature on them in various ways to combat the stress and to maintain the homeostasis.

Introduction

Over decades, improvement of domestic animal species has been done by selecting superior animals, mainly based on individual performance and their subsequent breeding to get progenies with higher production potential. Within the 20th century, understanding of inheritance of economic traits, factors influencing genetic potential and their interactions provided better criteria for selection and this has resulted into faster genetic gains. Several selection criteria which were composite ones based on the individuals as well as its relative performances were being used.

Closed Nucleus Breeding Scheme (CNBS)
In the CNBS the germplasm flows in only one direction. That is from the nucleus to the cooperating herds or flocks. In the traditional pyramid there is only one way of flow of genes with in the pyramid, downwards from top to bottom. This means that the only some of cumulative genetic progress in commercial production is improvement that occurs at the top of the pyramid. If the nucleus tier makes no genetic improvement then no improvement will be noticed in the root of the tiers. However even if the nucleus tier thus make improvement progress is not seen immediately at lower levels in the pyramid. It takes time for the genetic progress in one tier to be transmitted to the next tier. The resultant difference in performance between any two adjacent tiers is called IMPROVEMENT LAG.
It is usually expressed in terms of no. of years of genetic improvement that are represented by the difference in performance between adjacent tiers. There are two factors that affect the size of the improvement. Age structure in the lower tiers. Source and merit of dams used in the lower tiers, e.g. Lag can be reduced by keeping the sires and dams in lower tiers for shorter periods of time before replacing them with younger stock. Lag can be reduced by transferring females downwards tiers. Even greater reduction result if some nucleus parent can be transferred directly to commercial tier. Only downward flow of genes from nucleus to lower tiers. No gene flow into nucleus tier, e.g. Most traditional breed of livestock modern pig and poultry breeding programme have CNBS structure.

Poultry has been extensively used for various biological experiments and its contributions to science are impressive. Among poultry species, chickens have made fundamental contributions to our current understanding of many immunological processes and it ranks high in the biological world. It still serves as an animal model to investigate immunogenetic aspects of disease resistance and tumor regression. Among the major contribution from poultry, the first evidence for viral induced tumor came from chicken (Rous, 1911; Nobel prize, 1966), reverse transcriptase enzyme was isolated from Avian Leukosis virus (Tamin and Baltimore, 1963; Nobel Prize, 1975), oncogenes in virus are from host cells (Bishop & Harold Varmus; Nobel Prize, 1989) and major two arms of immune response i.e. the T and B cells were first discovered in chicken.