eChapters

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

1.    Wilt
        
2.    Anthracnose
        
3.    Canker

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

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

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

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

Review of the state of art of Drought on impact assessment, monitoring and management with special reference to agricultural production has revealed that Drought is still a complex natural disaster and difficult to forewarn in spite of advancements in atmospheric sciences and computational procedures. It is realized only after it is set in and is not known when it is likely to withdraw. A long way one has to travel to predict its occurrence, spread and its continuation to the next season over a region. The existing net work of observational set up in developing countries in Africa, Asia and in South America need to be strengthened further for effective monitoring of significant weather events at regional and micro regional level. With the rapid expansion of communication system over the past two decades, establishment of Automatic Weather Stations (AWS) at as many locations as possible even in remote regions should be taken up on priority basis and funding may be provided by the respective governments or by the International Organizations where ever necessary. Nations with limited resources may also be convinced to strengthen their weather observational net work in view of the increased occurrences of climate extremes and changing climate. Drought vulnerability regions over the globe were delineated based on sparse historical weather data which do not match with real surface conditions. Now, with the availability of weather data from more number of stations both temporally and spatially, drought prone regions over the world may be re-delineated. This would help the planners to allocate funds rationally to the affected regions. Globally every year, some regions or others may be experiencing droughts and more so in drought prone regions.

Good Practices for Drought Management
    7.1    Drought Planning and Preparedness
    7.1.1    Drought Planning in India
    7.2    Global Experiences in Drought Planning
    7.2.1    USA
    7.2.2    South Africa
    7.2.3    African Nations
    7.2.4    Namibia
    7.2.5    Ethiopia
    7.2.6    Botswana
Drought management plans in Europe
    7.2.7    Spain
    7.2.8    England and Wales
    7.2.9    Portugal
    7.2.10    Australia
    7.2.11    China
    7.2.12    Palestine
    7.2.13    Global Initiatives
    7.3    Drought Preparedness Action Plans in India
    7.3.1    Drought Preparedness Checklist
    7.4    Drought Preparedness Action Plans in Different Countries
    7.4.1    Arizona State in USA
    7.4.2    Texas State in USA
    7.4.3    Italy
    7.4.4    Mediterranean Region
    7.4.5    Pakistan
    7.4.6    Darfur in Sudan
    7.4.7    Bangladesh
    7.5    Indigenous Knowledge for Drought Management
    7.5.1    Astro Meteorological Methods
    7.5.2    Traditional Knowledge in Weather Prediction
     7.5.3    Traditional wisdom in Drought Risk Region (DRR)
        Rajasthan and Bundelkhand region in Uttar Pradesh
    7.5.4    Indigenous technologies for moisture conservation 
        in dry lands of semi-arid regions of India
    7.6    Traditional Wisdom for Drought Management in a few selected countries
    7.7    Role of Weather-based Agro-advisories
    7.7.1    Strategies for dissemination of advisories
    7.7.2    Role of ICAR and AICRPAM on Agromet Services
    7.7.3    Agromet Advisory services through mobile phone
    7.7.4    Status of Agromet Advisory Services in other Countries
    7.8    Value Addition to Agromet Information
    7.8.1    AICRP on Agrometeorology
    7.8.2    Thumb rules for weather-pest/diseases
    7.9    Contingency Crop Planning for Minimizing Risks
    7.9.1    Contingency Crop Planning for Rainfed Regions of India
    7.10    Drought Proofing Mechanisms
    7.10.1    Watershed Development for Drought Management
    7.10.2    Watershed Development in India
    7.10.3    The Success Stories of Watershed as a Drought Proofing Mechanism
    7.10.4    Watershed Policies and Recommendations
    7.10.5    Farm Ponds for Drought Management
    7.10.6    Success Stories of Farm Ponds
    7.11    Rainfed Technologies for the Drought Management in different agro climatic region
    7.12    Farmer’s Awareness on Climate Management
    7.12.1    India
    7.12.2    In other Countries
    7.13    Role of ICT in Climate Risk Management through AAS
    7.13.1    India
    7.13.2    Application of ICT in Providing Advisories in other Countries
    7.14    Integrated Drought Management Strategies through Farming Systems Approach
    7.14.1    Drought Adaptation Strategies in Rajasthan and in Maharashtra
    7.14.2    Improvement and Rural Livelihood
    7.15    Drought Mitigation Measures
    7.15.1    Drought Mitigation Plans
    7.15.2    Soil water Conservation and Recharging of Ground water Methods
    7.15.3    Traditional Water Harvesting and Conservation 
        Techniques
        References

6.1    Hydrological Cycle
    
6.2    Global Surface Waters
    
6.3    Surface Water over India
    
6.4    Ground Water Potentials in India
    
6.5    Influence of Drought on Water Resources, its Fauna and Flora
    6.5.1    Effects on Fauna and Flora
    
6.6    Influence of Changing Climate on Droughts and Water Resources
    6.6.1    Global warming and droughts at global scale
    6.6.2    Global warming on water resources at global scale
    6.6.3    Global warming and droughts at national scale in India
    6.6.4    Global warming impacts on water resources at National scale
        
References

5.1    Global Food Production
    5.1.1    Area Under Cultivation
    5.1.2    World Food Production
    
5.2    Variability in Global and Indian Food Grain Production
    
5.3    Impact of Phenomenal Drought During 2009 on Food Grain Production in Different Countries
    
5.4    Impacts on Livestock and Fisheries
    5.4.1    Livestock
    5.4.2       Milk Production
    5.4.3    Fisheries
    
5.5    Estimation of Food Grain Production in India using Rainfall indices
    5.5.1    Trend in the annual food grain production
    5.5.2    De-trended production index
    5.5.3    Construction of rainfall indices (RI)
    5.5.4    Development of model for estimation of production index
    5.5.5    Verification of model performance
    5.5.6    Estimation of Kharif Price Production
    
5.6    Forecasting of Agricultural Output Using Space, Agrometeorology and Land based Observation (FASAL)
        
References

4.1    Approaches for Drought Monitoring
    
4.2    Weather Network System in Different Countries
    
4.3    Drought Monitoring using Climatological, Hydrological and Combination Approaches in Different Countries
    
4.4    International Cooperation in Drought Monitoring
    
4.5    Drought Monitoring Mechanism in India
    
4.6    Early Warning and Decision Support System
    4.6.1    Software for Drought Detection, Monitoring and Early Warning
    4.6.2    Decision Support System for Droughts Developed Outside India
    
4.7    GIS and Drought Monitoring
        
References

3.1    Factors Contributing to Climate Change
    3.1.1    Natural Causes to Climate Change
    3.1.2    Human Causes to Climate Change
    
3.2    Climatic Trends
    3.2.1    Global level
    3.2.2    National level
    
3.3    Climate Projections
    3.3.1    Global level Projections on Future Changes in Climate
    3.3.2    Climate Projections at the National level
    3.3.3    Climate Projections at the Regional level
    3.3.4    Projections of Extremes in Rainfall and Temperature
    
3.4    Consequences of Climate Change on Droughts and Agriculture
    3.4.1    Impact of Climate Change on Agriculture in some States of India
    
References

2.1    Definition of Droughts
    
2.2    Types of Droughts
    2.2.1    Meteorological Droughts
    2.2.2    Agricultural Droughts
    2.2.3    Hydrological Droughts
    2.2.4    Socio-economic Droughts
    
2.3    Criteria for Classification of Droughts
    Meteorological Droughts
    Agricultural Droughts
    Hydrological Droughts
    
2.4    Data requirements in Drought Analysis
    
2.5    Drought Indices
    2.5.1    Rainfall-based Indices
    2.5.2    Climate Derivate Based Indices
    2.5.3    Remote Sensing Based Indices
    2.5.4    Processes Based Indicators
    
2.6    Assessment of Drought Prone Regions in India
    
2.7    Indicators for Declaration of  Droughts in India
    2.7.1     Rainfall Deficiency
    2.7.2    Area Under Sowing
    2.7.3    Normalized Difference Vegetation Index
    
2.8    Drought Management Procedures in India
    
2.9    Drought Code adopted by Local Governments
    
2.10    Spatial Variability of Droughts and their Frequency of Occurrence in India
    
2.11    Drought Vulnerability Assessment
    
2.12    Vulnerability of Society to Drought
        
References

1.1    General Circulation of the Atmosphere
    
1.2    World Climates
    
1.3    World Climate Classification by Köppen’s method
    
1.4    Climatic Classification over India
    
1.5    Asian Summer Monsoon and Rainfall Distribution
    
1.6    The Indian Monsoon
    Features of monsoon
    Monsoon circulation
    Onset of monsoon
    Withdrawal of monsoon
    Southwest monsoon rainfall
    Active phase of monsoon
    Break monsoon conditions
    Winter monsoon

1.7    Causes for Failure of Monsoon
    
    Prediction of onset of monsoon rainfall

1.8    Spatial Distribution of Weather Parameters over India
    Rainfall
    Temperature
    Humidity
    Sunshine and Radiation
    Wind speed

1.9    Famines in India
    
1.10    Historical Evidences of Droughts
    
1.11    Distribution of Drought Prone Regions over the Globe
    1.11.1    Occurance of drought in different countries
    
1.12    Distribution of Drought Prone Regions in India
    
1.13    Weather Phenomena Associated with Droughts
    
1.14    Effect of Droughts on Natural Resources
    1.14.1    Surface water resources
    1.14.2    Groundwater sources
    
1.15    Impact of Latest Droughts on Crop Production in India
    
1.16    Economic Impacts of Droughts in India
    
1.17    Economic Impacts of Droughts in other Nations
        
References

Acetic acid            
    

Molecular weight    60.05        
    Melting point (^ºC)    17        
    Boiling point (^ºC)    118        
    Flash point (^ºC)    40        
    Auto-ignition point (^ºC)    426        
    Specific gravity at 20^ºC    1.05        
    Molarity of the concentrated acid (M)    17.4    
    1 M solution    57.5 ml concentrated acid per litre

11.1 Total DNA Extraction by cTAB Method
    
11.2 Extraction, Purification Estimation of DNA
    
11.3 Potassium Acetate Procedure
    
11.4 DNA  Estimation
    
11.5 Restriction Enzymes

10.1 Plasmids
    
10.2 Retrovirus

9.1 Methylases
    
9.2 Polymerases
    
9.3 Nucleases
    
9.4 Ligases
    
9.5 Phosphatase
    
9.6 Topoisomerase
    
9.7 Restriction enzymes

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

7.1 Gel Electrophoresis
    
7.2 Polymerase Chain Reaction (PCR)
    
7.3 Restriction Fragment Length Polymorphisms (RFLPs)
    
7.4 Random Amplification of Polymorphic DNA (RAPD)
    
7.5 Amplified Restriction Fragment Length Polymorphism (AFLP)

6.1 Prokaryotic Gene Expression
    
6.2 The lac  Operon
    
6.3 The trp  Operon

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

5.3 Translation

4.1 DNA: The word means
    
4.2 Double Helical Structure: The Watson and Crick Model
    
4.3 Family of DNA 
    
4.4 The Chromosomes

DNA (deoxyribonucleic acid), the giant molecule that carries genetic information in living things, is made up of just a few chemical building blocks that bond together in very particular ways. A typical molecule of DNA consists of two strands that are linked together. A segment can be visualized as a ladder-like structure:

The DNA as made of two strands, a left and a right, which are linked in the middle. In reality, since the ladder is twisted, there really is no “right” or “left,” but we use that terminology here since it applies to the model graphs. The square shapes and diamonds you see in the middles of the “rungs” are the links, which are meant to represent the different chemical bonds between the two strands of DNA.

2.1     Regulation of the Cell Cycle 
    
2.2     Mitosis
    
2.3     Meiosis

1.1     Prokaryotic 
    
1.2     Eukaryotic
    
1.3     Cell orgenellie

Castration means removal of the testicles and there are two methods of castration in domestic animals viz. closed and open method.

1. Closed method

In closed method, without incision, the spermatic cord is crushed where thrombus is formed which arrest blood flow to the testicles resulting in gradual atrophy of the testicles. ex. Burdizzo method

Artificial insemination technology is a valuable tool to inseminate 2000 to 3000 does by frozen semen instead of breeding 40 to 50 does by natural service in a year. Goat semen may be stored and frozen more successfully than ram semen. The buck will be sexually mature at 6-7 months of age.

Artificial insemination Technology is a high cost and labour intensive technique in sheep and In India, sheep are reared by economically weaker sections of the society and any advanced technique may take much time to reach their flocks.  Considerably more research work has been done in AI with sheep than with goats. However, the equipment and techniques are very similar for the two species. Goat semen may be stored and frozen more successfully than ram semen.

Artificial insemination (AI) technique in pigs is being performed since several decades in many countries but not widely accepted technology as in cattle due to reasons like sub-standard method of semen cryopreservation and lower fertility rate. The main idea is to increase the breeding efficiency by utilization of superior boars. The number of boars needed for breeding purposes can be reduced by use of AI and reduced transmission of infectious diseases. A minimum of 15 to 20 sows can be inseminated after dilution over a 2 days period with an ejaculate from a boar. Artificial insemination had considerable impact worldwide in its application to commercial pig production. The main advantage of using fresh liquid boar semen is that fertility is maintained even with low number of spermatozoa in the inseminate. AI provides unique opportunity for the genetic improvement of pig industry. Using fewer than 1 million sperm cells per breeding unit can achieve conception rates with liquid semen similar to those with frozen thawed semen containing approximately 15 million sperm and reduced fertility makes cryopreservation an uneconomical option in boars.

Artificial insemination in horses is being practiced since many years in Russia and China for genetic up-gradation. The equine artificial insemination industry has evolved a system in which mares are inseminated with fresh or cooled semen (500 million motile sperm) every 48 hours until estrus is no longer detected or until ovulation is detected by trans-rectal palpation or ultrasonography of ovaries respectively. The advantages of AI include: