eChapters

• Database
• Data Model
• Database Software
• DBMS Facility 
• Architecture for a DBMS
• Data Modeling
• Components of a Data Mode
• RDBMS (Relational Database Management System)
• Client/Server Model of Computing
• Entity Relationship Diagram (E-R diagram)
• Entity Relationship Diagram Notations - Front-end and Back-end
• Codd’s Rules
• SQL - Structured Query Language
• Data Definition Language (DDL)
• Data Manipulation Language (DML)
• DCL
• Data Control Language
• Transaction Control (TCL)

Introduction

The recent revolution in genomics and bioinformatics has caught the world by storm. The issues surrounding the human genome, including the analysis of genetic variation, access to genetic information and the privacy of the individual have fuelled public debate and extended way beyond the scientific and technical literature. During the past few years, bioinformatics, defined as the computational handling and processing of genetic information, has become one of the most highly visible fields of modern science. A flood of data means that many of the challenges in biology are now challenges in computing. Bioinformatics, the application of computational techniques to analyse the information associated with bio-molecules on a large-scale, has now firmly established itself as a discipline in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics to gene expression studies. In this chapter we provide an introduction and overview of the current state of the field.

INTRODUCTION
    
The date palm (Phoenix dactylifera L.) is considered to be oldest among the domesticated tree fruits. It considered a symbol of life in desert because it tolerate high temperature, drought and salinity more than many other fruits. Date palm fruits are eaten as raw dates (Khalal stage), Soft dates (Tamar stage) and dry dates (Chhuhara). Different processed products viz sugar, starch, vinegar, juice, toffies, wine, chutney, jam, pickels etc. are prepared from date fruits. Leaves of date palm trees are utilized for preparation of baskets, brooms, ropes, building materials, fuel and paper. The plantation is also useful for stabilization and maintenance of ecological balance in the desert regions

• Introduction
• Types of DSS
• Scope of DSS
• Benefits of DSS 
• Common Uses of Decision Support Systems
• Decision Support System for Farm Management

The role of bioinformatics in genomics and molecular biology research can be likened to the role of intelligence gathering in battlefield. Intelligence is clearly very important in leading to a victory in the battlefield. Computational algorithms are the heart of bioinformatics as they enable predictions, understanding and interpretation of the data generated from laboratory experimental research carried by biologist. This article discusses one such approach called Decision tree induction and its application for generating rules from a dataset extracted from biological databases.

Decision Tree (DT) is one of the most popular choices for learning from feature based examples. They are especially attractive in data mining environment for several reasons. First due to their intuitive representation, the resulting classification model is easy to assimilate by humans. Second, DT does not require any parameter setting from the user and thus are especially suited for exploratory knowledge discovery. Third DT can be constructed relatively fast and accuracy of DT is comparable or superior to other classification models.

3.1.Processes
                    
    Leaching                    
    Fragmentation/Comminution
    Catabolism                    
    Decomposition models
                
3.2. Patterns
                    
    Litter decomposition
    Root decomposition                    
    Limit values for decomposition            
    Decomposition pattern in ecosystems

1    Dental formulae and eruption of tooth

2    Ageing based on rings of the horn

3    General appearance of animal

4    Longevity of different animals

4.1    Hydraulic Formulae/Head Losses in Pipes
    
4.2    Lateral Design
    
4.3    Sub-main Design
    
4.4    Design Charts
    
4.5    Main Line Design
    
4.6    Farm Drip System Design Examples
    Questions & Problems
        
References

Keeping pace with latest technologies Central Institute of Freshwater Aquaculture (CIFA) has attempted to develop the following three databases on the following aspects for quick retrieval of information resources. The brief description of the databases is presented below for easy comprehension.

CD-ROM Database on Socio-Economic Aspects of Carp Culture in Kolleru Lake (Pictorial)

In the era of 21st century world is progressing fast towards the electronic media of communication and the real revolution has been brought about in the information technology. It has revolutionized the collection, storage and retrieval of information very speedily and accurately. One of the IT tools like CD-ROM (Compact Disc Read Only Memory) plays an important role in storing the huge data and can be easily carried to remote places. Since it is lightweight, pocket sized and can hold about 660 megabytes of data which is equivalent to 3 lakh pages. CD-ROM is a high capacity optical disc. It is 12 cm diameter, made of durable plastic with a reflective metal coating and lacquered surface. Considering all these advantages an attempt has been made to develop a database on socio-economic aspects of carp culture in Kolleru Lake which is immensely helpful to all scientific and farming community (Roy et al., 2004).

1. Introduction

Kiwi fruit (KF) is very much acceptable for preservation by freeze-drying (FD) technique, since it has very much health benefits such as low calorific value, low glycemic index (GI), more vitamins (particularly vitamin C), maximum load of potassium, presence of variety of pigments, few important enzymes, low allergic response (AR) and finally it is rich in natural antioxidants, polyphenols. It is translucent, green pulp and many black seeds arranged nicely with covered by hairy and brown skin. The KF seeds are small sizes and black colored surround inner circularly through the whole pulp. It gives a nice crunch during consumption and provides a number of essential nutrients. Therefore, it will be remembered that seeds cannot be discarded during processing of KF unlike other fruit (jamun etc. ) seeds.

1.     Length and Size
2.     Volume
3.     Weight

1    Bovines

2    Canines

1    Disease diagnosis based on posture, gait appearance and clinical signs

1    Common diseases affecting livestock

2    Disease information

3    Diseases of skin

4    Diseases of muscuoskeletal system in canines

Artificial Insemination is a very important tool that caters to propagation of high-quality germplasm and breed improvement. It is also economical as it aids in breeding without the necessary to maintain the adult bucks cutting the input cost. However, the bucks maintained for production of semen and AI should be free of any diseases and in specifically venereal diseases. Venereal diseases are not so uncommon in livestock, and they cause a variety of symptoms including orchitis, abortions, still birth, vulvovaginitis etc., leading to infertility in breeding animals. Venereal diseases are infectious in nature and they are transmitted mainly through semen, feed-water, AI gun, artificial vagina, fomites etc. Due to venereal diseases, infertility, orchitis, epididymitis, vasculitis etc. occurs in bucks and leads to abortions and still birth in does (Ahmed et al, 2010; Beena et al, 2017), because they are directly linked with the economic output (Sharma et al, 2008; Azawi et al, 2010) and overall health of the animal affecting the productivity significantly (Menzies, 2011). To keep abortions and other venereal diseases at bay, it is important to raise disease free breeding bucks that deliver clean-semen for natural service or AI operation. Abortion rate between 2 to 5% indicates its endemic nature and abortion level exceeding 5% requires aggressive investigation (Menzies, 2011). Infectious agents that include viruses, bacteria, fungi, parasites etc.; as well as noninfectious cause can lead to infertility in goats (Moeller, 2001; Szeredi et al, 2006; Smith and Sherman, 2009). Many infectious causes are known to mankind that leads to trans-venereal diseases in goats including Brucella melitensis, Chlamydiosis, Campylobacter spp., Listeria monocytogenes, Toxoplasmosis, Coxiella burnetii etc. There are numerous viruses such as

1.    Scab
        
2.    Powdery mildew
        
3.    Fire blight
        
4.    Soft rot
        
5.    Bitter rot

1.    Panama wilt
        
2.    Moko or Bacterial wilt
        
3.    Sigatoka disease
        
4.    Anthracnose
        
5.    Bunchy Top

1.    Anthracnose
        
2.    Bean rust
        
3.    Yellow mosaic
        
4.    Common bean mosaic/green mosaic

1.    Foot rot or Leaf rot or wilt
        
2.    Anthracnose
        
3.    Bacterial leaf spot or stem rot

1.    Yellow vein mosaic
        
2.    Cercospora leaf spot
        
3.    Fusarium wilt
        
4.    Powdery mildew

1.    Damping off
        
2.    Phomopsis fruit rot or blight
        
3.    Collar rot
        
4.    Bacterial Wilt
        
5.    Little leaf

1.    Damping off
        
2.    Fruit rot or Die back
        
3.    Powdery mildew
        
4.    Bacterial leaf spot
        
5.    Cercospora leaf spot
        
6.    Fusarium wilt
        
7.    Viral diseases

1.    Wilt
        
2.    Rust
        
3.    Septoria leaf spot
        
4.    Powdery mildew
        
5.    Chrysanthemum stunt

1.    Gummosis
        
2.    Canker
        
3.    Scab/Verucosis
        
4.    Tristeza or quick decline
        
5.    Greening
        
6.    Exocortis or scaly butt

1.    Bud rot
        
2.    Stem bleeding
        
3.    Grey blight
        
4.    Basal Stem Rot

1.    Coffee rust/Oriental leaf disease
        
2.    Black rot or Koleroga
        
3.    Die back or Anthracnose
        
4.    Damping off/Collar rot
        
5.    Berry blotch

1.    Wilt
        
2.    Stem rot
        
3.    Alternaria leaf spot

1.    Club root or Finger and toe
        
2.    Downy mildew
        
3.    Powdery mildew
        
4.    Alternaria leaf spot
        
5.    White rust
        
6.    Black rot
        
7.    Bacterial soft rot

1.    Downy mildew
        
2.    Powdery mildew
        
3.    Anthracnose
        
4.    Cercospora leaf spot
        
5.    Alternaria blight
        
6.    Bacterial wilt

1.    Rhizome rot/soft rot
        
2.    Leaf spot
        
3.    Yellows disease
        
4.    Banded leaf blight
        
5.    Cercoseptoria leaf spot
        
6.    Bacterial wilt

1.    Downy mildew
        
2.    Powdery mildew
        
3.    Anthracnose/Bird’s eye spot

1.    Wilt
        
2.    Anthracnose
        
3.    Canker

1.    Rust
        
2.    Cercospora leaf spot
        
3.    Collar rot and Root rot
        
4.    Phyllody

1.    Anthracnose
    
2.    Powdery mildew
        
3.    Mango malformation
        
4.    Red rust
        
5.    Grey blight
        
6.    Sooty mould
        
7.    Stem end rot
        
8.    Bacterial leaf spot

1.    Damping off
        
2.    Purple blotch
        
3.    Smut
        
4.    Downy mildew
        
5.    Leaf blight (blast)
        
6.    Black mould

1.    Stem rot/Foot rot
        
2.    Powdery mildew
        
3.    Anthracnose
        
4.    Ring spot
        
5.    Leaf curl

1.    Downy mildew
        
2.    Powdery mildew
        
3.    Rust
        
4.    Wilt

1.    Leaf spot or blight
        
2.    Cercospora leaf & fruit spot
        
3.    Alternaria fruit spot
        
4.    Bacterial leaf spot

1.    Late blight
        
2.    Early blight
        
3.    Black scurf
        
4.    Common scab
        
5.    Bacterial Brown rot
        
6.    Wart
        
7.    Black leg (Soft rot)
        
8.    Viral diseases
        
9.    Potato spindle tuber

1.    Powdery mildew
        
2.    Die-back
        
3.    Black spot
        
4.    Rust

1.    Sooty mould
        
2.    Leaf spot
        
3.    Flat limb

1.    Blister blight of tea
        
2.    Red rust
        
3.    Black rot
        
4.    Black root

1.    Damping off
        
2.    Early blight
        
3.    Fusarium wilt
        
4.    Bacterial wilt
        
5.    Mosaic
        
6.    Leaf furl
        
7.    Root knot nematode

A DNA microarray is a multiplex technology used in molecular biology. It consists of an arrayed series of thousands of microscopic spots of DNA oligonucleotides, called features, each containing picomoles (10-12 moles) of a specific DNA sequence, known as probes (or reporters).

5.1    Introduction
       5.1.1  Types of Distributors
    Questions and Problems
    
References

The productivity of agricultural ecosystems depends on the interactions and interdependence of numerous species, such as other plant species, micro-organisms, pollinators, predators of agricultural pests and livestock. Agricultural ecosystems serve as an important habitat for many plant and animal species. Wild species are sometimes used to provide valuable genetic resources, for instance for certain plant breeding. When preserved, these can help to meet future food and livestock production challenges, including adaptation to climate change. Conservation agriculture provides an ample opportunity for the maintenance of agricultural biodiversity. This paper discusses the agricultural development phases, their consequence on the environment and cropping system diversification opportunities in conservation agriculture.

The coral reef ecosystem is one of the most diverse ecosystems, which is housing for an amazing diversity of organisms and estimation of species richness ranges from 650 000 to over 9 million. For this reason, coral reefs often are referred to as the “rainforests of the ocean”1.Prokaryotes represent overriding life form on the planet and are almost certainly the most diverse component of coral reef communities2. Corals have been known to harbour many different species of bacteria.

The rise in the number of drug-resistant pathogens and the limited success of strategies in providing new agents indicate an uncertain forecast for future antimicrobial therapy. So it is critical that new groups of microbes from unexplored habitats be pursued as sources of novel antibiotics. Marine actinomycetes serve as a logical target given the historical significance of their terrestrial counterparts in antibiotic production. Isolation strategies directed towards new marine-derived actinomycetes have been lacking, but it is clear that such procedures will increase the understanding of marine bacterial diversity and yield many novel marine natural products. Though recent literatures report the isolation of novel class of actinomycetes from marine sediments and sponges, reports on actinomycetes associated with corals are very scanty. Therefore in this study we attempted to characterize the actiomycetes diversity associated with the coral Acropora digitifera from the Gulf of Mannar, Southern coast of India. The antibacterial potential of the isolated actinomycetes was also investigated.

Introduction
DNA barcoding is a molecular technique that uses a short section of DNA (genetic marker) extracted from a standardized region of tissue to identify it as belonging to a particular species. A desirable locus for DNA barcoding should be standardized and that should present in most of the taxa of interest and sequencable without species-specific PCR primers. A large database of sequences for the desirable locus needs to be developed. The desirable locus should be short enough to be easily sequenced with current technology, and provide a large variation between species yet a relatively small amount of variation within a species. Although several loci have been suggested, but the mitochondrial Cox1 became a gene of choice for animals and many other eukaryotes. However, the DNA regions that are being used are chosen to optimize the resolution for their specific experimental purposes.

8.1 Sub Cloning
    
8.2 Cloning into a Yeast Artificial Chromosome (YAC)
    
8.3 DNA Libraries

5.1 Replication
    DNA Replication in Bacteria
    DNA Replication in Eukaryotes
    
5.2 Transcription

5.3 Translation