eChapters

Sun is the prime source of energy injected into the earth’s atmosphere. The sun is the nearest star to the earth. It is a hot ball of glowing gases at the heart of the solar system. Its radiant energy is practically the only energy source to the earth. Very small and insignificant quantities of energy are available from other sources such as the interior of the earth, the moon, and other stars. Without the sun’s intense energy and heat, there would be no life on earth.

NATURE AND PROPERTIES OF SOLAR RADIATION

The mean distance of the sun from the earth, also known as one astronomical unit (1 AU), is approximately 1.496 × 10⁸ km, though the distance varies as the earth revolves round the sun in an elliptical orbit. At this average distance, light travels from the sun to earth in about 8 minutes and 19 seconds. The energy of the sunlight supports almost all life on earth by photosynthesis, and drives earth’s climate and weather. The minimum sun-earth distance is about 0.983 AU and the maximum is approximately 1.017 AU. The earth is at its closest point to the sun (perihelion) on around January 3 and at its farthest point (aphelion) on around July 4.

A big layer of air called the atmosphere surrounds the earth. The air within this layer moves from place to place when it warms up or cools down. This moving air is known as wind. In other words, air in motion is called wind. Winds move moisture and heat around the world and also produce much of our weather.

The strength of the wind can vary enormously. Sometimes air moves slowly and the wind is barely noticeable. When the weather is clear there may be a gentle breeze. When the wind is still very light, but it can be felt and there may be rustlings by leaves. At other times, the air can move very quickly and become a gale or hurricane, blowing down trees and damaging electric poles and buildings.

Winds are part of a global air circulation system that acts to balance temperature and pressure around the world. Different parts of the world receive different amounts of heat from the sun. This differential heating in turn results in differences in temperature and air pressure around the world, which drives the world’s winds.

As equatorial areas are heated most, the air above them warms and rises as it becomes lighter than the surrounding air, causing an area of low pressure. In cooler areas, the air sinks because it is heavier and results in an area of high pressure. Winds will blow as air is squashed out by the sinking cold air and drawn in under the rising warm air. Any difference in temperature like this will always cause a difference in air pressure, and therefore winds will blow. These movements result in a global wind pattern, with air moving between different areas around the world and also at different heights in the atmosphere. Colder air from the poles tends to sink and move towards the equator closer to the surface of the earth. In contrast, warm air from the equator rises and moves towards the poles high in the atmosphere because it is lighter.

Atmospheric pressure is the force per unit area exerted on a surface by the weight of air above that surface in the atmosphere of earth. The gas molecules of the atmosphere are pulled towards the earth by the force of gravity and hence exert a force on earth surface. In most circumstances atmospheric pressure is closely approximated by the hydrostatic pressure caused by the weight of air above the measurement point. Atmospheric pressure inf luences other weather elements in a significant way. Small changes in air pressure may not be felt, but they are important for bringing a change in weather. Atmospheric pressure can be calculated as the summed weight of all gas molecules between a horizontal plane and top of the atmosphere and divided by the area of the plane. Low pressure areas have less atmospheric mass above their location, whereas high pressure areas have more atmospheric mass above their location.

FACTORS AFFECTING ATMOSPHERIC PRESSURE

Air pressure never remains constant. Air pressure is greatly influenced by air temperature, altitude, water vapour presence in the air, rotation of earth, etc. However, these factors are not independent of each other in affecting the atmospheric pressure.

Temperature: Hot air expands and exerts low pressure. Cold air contracts and exerts high pressure. Thus, increase in temperature decreases the air pressure. Places nearer to equator experience low pressure due to prevalence of high temperature. The air being cold and heavy throughout the year a high pressure belt is created in both polar regions.

Altitude: Pressure varies smoothly from the earth’s surface to the top of the mesosphere. The pressure depends on the density or mass of the air. The density of air depends on its temperature. The density of air decreases with increase in height so the pressure also decreases with increase in height. At low altitudes above the sea level, the pressure decreases by about 1.2 kPa for every 100 metres.

Water vapour: Water vapour content of air is low in cold areas than that in dry areas. Hence, moist air of high temperature in dry areas exerts less pressure compared to cold air.

The dynamic layer surrounding the earth above its surface containing various gases, moisture, aerosols, etc. is called atmosphere. Atmosphere can be defined as the gaseous envelope surrounding the earth. It is retained by earth’s gravity.

The atmosphere protects life on earth by absorbing ultraviolet solar radiation, warming the surface through heat retention and reducing temperature extremes between day and night. The common name given to the atmospheric gases used in breathing and photosynthesis is air. The atmosphere has a mass of about 5.15 × 10¹⁸ kg, three quarters of which is within about 11 km of the surface. The atmosphere becomes thinner and thinner with increasing altitude, with no definite boundary between the atmosphere and outer space. The imaginary ‘Karman line’ lies at an altitude of 100 km above the earth’s sea level, and commonly represents the boundary between the earth’s atmosphere and outer space. The study of earth’s atmosphere and its processes is called atmospheric science or ‘aerology’.

Meteorology is derived from the Greek word meteoro which means above the earth’s surface; i.e., the atmosphere. The state of the atmosphere experienced at a given time, in any location on the surface of the earth is known as weather. Thus meteorology is the scientific study of the atmosphere or the weather. It is a branch of physics dealing with atmosphere and it is often quoted as the ‘physics of the lower atmosphere’. The main focus of meteorology is to understand the weather processes and forecast the weather. Solar radiation, the air mass and moisture are the three key ingredients that make up weather. The exchange of heat, moisture and momentum between the earth’s surface and the atmosphere determines the characteristic of weather. The observable weather events are known as meteorological phenomena and are defined by a set of variables called weather elements. Atmospheric temperature, atmospheric pressure, humidity, precipitation, cloudiness, wind and visibility, etc. are examples of such weather elements. The weather elements are not separate entities. They are closely related with each other and are highly variable in nature. Meteorology explains and analyses the changes of these weather elements.

METEOROLOGY

The major subdivisions of meteorology are dynamic meteorology (or atmospheric dynamics) and physical meteorology (or atmospheric physics). The dynamic meteorology is concerned with the analysis and interpretation of the three-dimensional, time-varying, macro scale motions and energy transformations in the atmosphere. The science of dynamic meteorology is meant to develop models based on the hydrodynamic and thermodynamic equations. The physical meteorology is concerned with the processes that alter the physical properties and the chemical composition of air parcels as they move through the atmosphere.

8.1 INTRODUCTION

To implement a good GIS project, a well structured project design and management are essential. Well planned project will give fruitful result within the stipulated time. Project not completed in time will not incur more cost and also the time delay will add negative value to the project. Hence all the elements in project planning and implementation should be considered to have a desired result. Some of the issues are also present in GIS and they will be rectified in the next decade.

8.2 PROBLEM IDENTIFICATION

Any project is coming into reality due to necessity. If water scarcity is more in a hard rock region with sufficient rainfall, it is important to augment groundwater resource using rain water harvesting structures. It is important to build water harvesting structures like check dam, percolation pond in suitable locations so that groundwater recharge will be more. Hence a problem is identified and the project work may be carried out by a government or private organisation and the result is given to the government to implement the project. Likewise many area may require a project in GIS environment for planning. Once a project is created any development taking place can be added and GIS database is updated.

7.1 INTRODUCTION

Web technology revolutionised information technology and GIS of no exception. Analysis of maps available in internet through remote personal computer is called as web GIS. The term web is GIS synonymous with the term internet GIS. Most of the software vendors in the field of GIS have developed their GIS compatible to internet. The advantage of internet GIS is no need to own a GIS software in the personal computer. Maps available in a web site can be analysed for GIS functions as one could do with GIS in standalone personal computer. Applications of web GIS is not limited. Most of the governmental agencies, business people and others put their data in their server and the data could be analysed spatially for the users requirement. Internet mapping is simple, cost effective and reach vast audience.

Internet GIS is useful in field like civil engineering, government organisations, forestry, environment, goescience, utility planning etc.

6.1 INTRODUCTION

Besides simple analysis, GIS is useful to do advanced analysis like network analysis, spatial analysis, 3D analysis and modeling. Different softwares are available to perform such analysis and the above mentioned analysis is done in separate modules of the softwares.

6.2 NETWORK ANALYSIS

Network consists of well connected linear features. Roads, railway line, water distribution system, sewer line, streams are some of the examples of networks. These networks consists of nodes and arcs with designated directions and connection with other linear features. Networks are topology based with attributes for the flow of objects like traffic. Road network will be considered for explaining network analysis.

Road map is digitised with nodes and arcs. Signals, accidents are represented as points. Road is represented as line and two or more roads intersect at nodes. Attributes are added to the nodes and lines. Dynamic segmentation model is used for network analysis. It is built on lines of network. In road network analysis, attributes for travel time, one way street, two way street, right turn, impedance are added to the nodes and arcs. A link is the line running between two nodes. Link impedance is the cost of passing through the link. Travel time is different in links in cities due to varying traffic at different locations. Time taken to pass through a known length of link may give the cost but the travel time in a link is not uniform because of varying speed designated in the link as 20 km per hour and 30 km per hour. Hence it is important to consider the length of link and also the travel time. If the speed limit is 20 miles per hour for a length of 2 miles, then the travel time is 6 minutes (2/20x60 minutes). Also tuning in the network is considered. A road may have a maximum of 12 possible turns excluding U turns. There are right turn, left turn, straight way for each road. Also U turn is possible. This turning takes different time depending on the signal. Straight way takes less time but left and right turn may require some more time. If signals is available then signal time should also be taken into account. Fig 6.1 show the possible turns in a road.

5.1 INTRODUCTION

A GIS database without single error is reliable for decision making. There are various possible sources of errors in GIS. If an error is not removed during scanning, the final output will also have that error. Besides whatever the work has been carried on wrongly scanned map it will add to errors because the source map itself's erroneous. This is like garbage in garbage out proverb. If wrong data is taken for analysis it will only result in wrong output. Hence it is important to remove error at every stage of GIS work. It is important to locate the sources of errors so that due care may be taken while handling a project.

5.2 ORIGINAL SOURCES OF ERRORS

All the equipments which give attributed data and spatial data will give errors. Before going to field or before collecting data all the related instruments should be calibrated properly. Also the instrument should not cross the permissible error. Besides these while using data from diversified sources errors pertaining to those instruments are mixed to give a different result. When very good accuracy is desired data should be collected from high end equipments. Even if one adds the data from a comparbly less accurate instrument to the data of many accurate instrument is then the result obtained finally will not reliable enough. Global Positioning System (GPS) is available with mm accuracy to meters accuracy. Also surveying with suitable map projection and datum is important; otherwise the result will be wrong. Survey instruments posses some inaccuracy and when a person is using it he should have the accuracy over the instrumental like rain gauge, water level recorders which give attributed data which should be checked for instrumental inaccuracies and method of data collection before using it. Likewise satellite and aerial sensors miss some data and some error are inherent. Such errors should be removed before moving ahead. Errors are resulted due to map reduction, enlargement, data editing and computation method adopted. At the same mapping instruments also possess inaccuracies. When after certain interval a person is going for survey, the registered object may have been changed. Many new features might have come up. Hence the established control points are changed and if the wrongly placed control points are taken for survey then the result itself will be wrong. If proper resolution is not available in the instruments, then the instruments may not capture the minute details which are required.

4.1 INTRODUCTION

Database management system is a computer program to store, search, manipulate retrieve and give the result. Vast amount of spatial data are available and it is necessary to arrange them, store them for retrieval and analysis. Attribute data adds intelligent to GIS. Without database, a GIS will be just a Cad software. Cad softwares do not have database. GIS softwares have their own databases besides it has the potential to link with external database like Oracle, MS Access, MS Excel, Informix, INGRESS, Sybase and dbase. The data available in paper has to be digitally stored in a proper order. Previously the data were stored in a a flat file format where the data was stored without any structure. But to search and retrieve and analyse the database, database structures were developed. There are of 4 types of database structures namely Hierarchical, Network, Relational database and Object orientation.

Tables are made of rows and columns. Rows represent a map feature. Columns represents characteristic of map feature. Row is called a record or a tupule column is a field or an item. Table 4.1 is a table where rows 1, 2 and 3 represent the locations with the soil types. A column soil type represents various soil types.

3.1 INTRODUCTION

Geographic Information System handles large volumes of data. It is important to know the nature of data, instruments from which the data is collected and represented in computers. GIS data is either spatial or aspatial. Data is an important component in GIS. Digital data are available for some projects. but for many projects, input data may not be available. Now-a-days, data is supplied by many government, private organizations and also available on internet. If data for a particular project is not available, then the user has to collect the data from satellite imageries, GPS and other instruments and maps from various sources.

Spatial Data

All locations in the earth surface are spatial data. Location of a city, location of a river, location of a lake are represented in earth by their latitude or longitude in global coordinate system or as x,y coordinate in Cartesian coordinate system. Spatial data consists of location, shape and size in earth. A village boundary is represented as a polygon in map. The village is having certain shape of irregular polygon with definite area. As all these are mappable , they are called as spatial data. But name of the village, revenue of a village and description about a village and called as non-spatial or aspatial data.

2.1 INTRODUCTION

GIS is a tool that can be used in varied disciplines ranging from civil engineering to business. Remote sensing data is often brought into GIS to have a complete data set in many natural resource application areas. Full capability of GIS is not used widely. Many a times people use GIS only for digitising maps and to do simple query on maps. But it can also be used in modeling, simulation and forecasting, only then one may regard GIS technology is utilised to its full potential. Some GIS softwares handle simple problems for location based services while other complex softwares posses advanced modules to do all types of spatial, network and 3D analysis. Integration of softwares used in natural resources study are being interfaced with GIS to create scenarios.

Remote sensing and GIS technology is useful in the following fields:

1.1 INTRODUCTION

Geographic Information System (GIS) is the new emerging field and grows at very rapid pace. Now GIS is a billion dollar industry with applications in varied disciplines. At present, GIS is being used by professionals from various disciplines. In this decade, GIS is being used by experts who are good in GIS technology for various applications. The development trend indicates that GIS will be used by common man in near future and at the same time, advanced GIS analysis will be carried out by GIS experts.

Any technology is developed out of necessity and GIS is of no exception. When a large amount of data were available for water distribution systems, road network, sewer lines, telecom lines, electricity lines, gas pipe lines, state wise population, natural resources etc, it is important to store, maintain and retrieve the data for applications. It is not possible to manually browse through the large amount of paper records. Also even if the data is available in an unorganized way in the computerized environment, it is not useful. Hence if the data are referred to locations in earth surface and the data are stored in an organized way, it is possible to retrieve and analyse the data for applications. Hence the solution is GIS and developed today into reality. Developed countries are using GIS widely in many areas but developing countries are moving towards the development of GIS database for their resources.

Remote sensing, aerial photography, cartography, surveying and other field instruments for attribute data collection contributes to the data acquisition. Cartography, surveying, geography, geodesy contributes for mapping process. Disciplines like computer science and statistics, mathematics involved in processing and analysing data . Computer science and mathematics involved in storing the data structure.

GIS maps are intelligent. It has many advantages compared with paper map in this digital age.

Spatial data means data which are referenced to earth. Maps, satellite imageries, aerial photographs are example of spatial data. Attribute data which are attached to spatial data are called as aspatial data or non-spatial data.

If these data are brought into GIS then it is stored in a standard format, it is possible to update, share, retrieve, manipulate and analyse quickly. Much of the time and money is saved in case of reproduction and better decisions could be made

‘Plant disease management’ involves the integration of various measures adopted to protect the plants by preventing them from contact with the pathogenic organisms, preventing the growth of the pathogens causing diseases, preventing sporulation of the pathogens and spread of diseases, destroying insect vectors responsible for transmitting diseases and such other prophylactic and curative measures. The ultimate aim of these measures is to avoid large-scale occurrence of diseases, reduce the severity of diseases and minimizing the losses caused by diseases. In disease management, importance should be given to control all the diseases attacking a particular crop at a particular time, especially those which occur in severe form in all the seasons and cause extensive damage to the crop and yield loss. Each and every crop is subjected to attack by one or more than one diseases. At the same time the control measures for controlling each of the disease may differ. In this respect a knowledge of the pathogen causing the disease, the symptoms of the disease, mode of infection and spread of the disease, the growth stage at which the crop is attacked, interaction between the host (crop) and the pathogen and weather conditions favorable for the occurrence and spread of the disease is absolutely necessary, so as to adopt suitable control measures to combat the disease and to minimize the damage to the crop, and reduce the yield loss.

The occurrence and spread of diseases are very much influenced by the environment, host and the pathogen. When the environmental conditions are suitable for the pathogen and not quite suitable for the host, the incidence of the disease is liable to be more. Further, if the host plants are not maintained properly and are weak, then they are more vulnerable to attack by the pathogen and the disease incidence may be severe. When the inoculum of the pathogen is present abundantly, the chances of attack by the pathogen are also more. Taking these facts into consideration, plant disease management is depicted as ‘manipulation of the disease triangle’ (Fig. 60)

All control measures should be aimed at protecting the plants from becoming diseased and not at curing the plants after they have become diseased. The principal methods adopted for controlling plant diseases are broadly categorized under five different heads viz. :

Definition of Plant Pathology

‘Plant pathology’ may be defined as ‘the study of microorganisms and of the environmental factors that cause disease in plants; of the mechanisms by which these factors induce disease in plants; and of the methods of preventing or controlling disease and reducing the damage it causes’. Plant Pathology or ‘Phytopathology’ is a branch of Biological Science, which exclusively deals with plant diseases and various aspects connected with plant diseases. The term Phytopathology had been derived from the Latin language. The Latin word ‘PHYTON‘ means plants; ‘PATHOS‘ means suffering and ‘LOGOS‘ means Science. So, Phytopathology means the Science dealing with suffering plants. Trees, shrubs, grasses etc., whether cultivated or wild are termed as plants and they form the majority of the earth’s living environment. These plants, which are so vital for humans, animals and insects are vulnerable to attack by numerous microorganisms, called ‘plant pathogens’. Some environmental factors are also detrimental to the normal growth of plants, resulting in diseases. Diseased plants exhibit some type of abnormalities and these abnormalities are termed as ‘disease symptoms’. Depending upon the pathogens attacking the plants or adverse environmental factors the disease symptoms vary markedly.

The Science of Plant Pathology has four main objectives:

1. To acquire knowledge about biotic plant pathogens and abiotic environmental factors, which are responsible for causing diseases.
2. To know more about the occurrence and mode of spread of the pathogens on a large scale.
3. To study the interaction between the host and the pathogen with respect to environmental factors.
4. To adopt suitable methods of preventing or controlling the diseases, thereby reducing the damage caused by the pathogens.

Systematic knowledge about Plant Pathology will be of much help in protecting the plants from attack by the pathogens, thereby allowing the plants to grow and attain maturity according to their genetic potential.

Introduction

In India, almost 85 % of our population resides in rural areas and the same proportion is dependent on agriculture for sustenance and animal husbandry for additional income. Distribution of livestock is more equitable compared to that of land and about 85 percent of livestock are owned by the landless, marginal and small landholding families. This sector provides employment for the farmers through livestock farming as well as in processing, value addition and marketing of livestock products.

Rapid population, economic growth, increased demand for livestock products such as meat and dairy products, in?uences the present livestock production systemtowards intensive production. There is increased con?ict over scarce resources such as land, water, food grains etc. Losing livestock assets for rural communities might lead to abject poverty with serious effect ontheir livelihoods. The climate change impact will worsen the vulnerability of livestock systems and those farmers depending on livestock, particularly the poor.

Introduction

Statistics generally refers to information about an activity or a process that is expressed in quantitate as well as qualitative traits. The quantitative research process is well structured whereas the qualitative one is fairly unstructured. It depends upon how a piece of information have been collected and analyzed. A good researchers need to have both types of skill. This article highlights about the operational procedure, about methods, procedures and techniques that are used in analysis of climate related data.

Parameter vs Statistic

When a data is collected with survey of all the individuals (like in a census) and analysed for certain values, it is called a parameter. But when, we guess the same value with a random sample and interpret for whole population it is called a statistic. Environmental parameters are: mean, variance, correlation, regression, heritability, repeatability etc. Again, there are two types of variables: quantitative and qualitative. Quantitative variables can take any value in a specified range. So, they are of continuous type. But qualitative variables are very few types ( 2 ,3 or 4 types) and they are of discrete type. Body weight is an example of quantitative variable whereas, comb type is a qualitative variable.

Introduction

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. In a nutshell, R is an open-source software environment for statistical computing that is rapidly becoming the tool of choice for data analysis in the life sciences and elsewhere. It’s developed by a large international community of scientists and programmers and is at the forefront of new developments in statistical computing.

Introduction

Aquatic ecosystems are critical components of the global environment and provide a variety of resources for human population, including food, water for drinking and irrigation, recreational opportunities, and habitat for economically important fisheries. Fish is the main source of animal protein for 3 billion people worldwide, providing a valuable protein complement to the food platter worldwide. Fish is also an important source of essential vitamins and fatty acids. Furthermore, it provides an important source of cash income for many poor households and holds a great potential as a source of foreign exchange. However, aquatic ecosystems are increasingly being threatened directly and indirectly by climate change. Global warming with consequent climate variability and extreme weather conditions has a great impact on the aquatic ecosystems resulting in increased temperature variation, ocean acidification and freshwater salinization etc. As per report of IPCC 2018, global warming of 1.5 ºC above pre-industrial levels has been declared (IPCC, 2018) and expected to rise further in future. Thus, variations in temperature, salinity, acidity and dissolved oxygen along with the effects of other anthropogenic activities may exert strong in?uences on aquatic ecosystems and the aquatic animls will be facing these climate-related stressors in near future. Such environmental stressors is projected to alter fundamental ecological processes, geographic distribution of aquatic species, reproductive and immunological performance of species etc.

Introduction

Nanotechnology and nanoparticles are increasingly recognized for their potential applications in various aspects of human animal and animal welfare like development of various healthcare or cosmetic products, nano-electronics and techniques for environmental remediation, and many consumer products. Nanoparticles, by definition, are structures that have one dimension in the 1–100 nm range. Nanotechnology involves the application of materials at the nanoscale to new products or processes. Over the past few decades, inorganic nanoparticles, whose structures exhibit significantly novel and improved physical, chemical, and biological properties, phenomena and functionality due to their nanoscale size, have elicited much interest. Nanophasic and nanostructure materials are attracting a great deal of attention because of their potential for achieving specific processes and selectivity, especially in biological and pharmaceutical applications. Nanotechnology has made a new generation industrial revolution by developing product and formulations for medical, agriculture (nano-fertilizers, nano-herbicides, nano-pesticides, recalcitrant contaminants from water, nano-scale carriers, nanosensors), veterinary care, fisheries and aquaculture, detection of nutrient deficiencies, preservation, photocatalysis, nanobarcode, quantum dots etc. It is a rapidly growing industry currently worth billions of U.S. dollars, with many potential benefits to society. Nanotechnology has the environmental applications to protect climate change and environmental pollution as nanocatalyst, light weight nanocomposite materials, nanocoatings, improved renewables and nanosensors.

This fast growing technology is already having a significant commercial impact, which will certainly increase in the future. Because of their widespread application, the commercial nanotechnology industry is predicted to increase significantly to more $3 trillion in few years. While nanotechnologies offer many opportunities for innovation, the use of nanomaterials in food, agriculture and environment has also raised a number of safety, environmental, ethical, policy and regulatory issues.

Introduction

Poultry production is one of the fastest growing sectors of livestock industry in developing countries. Environmental variation is one of the major factors that affect sustainability of poultry production systems in tropical climate (Sinha et al., 2017a). Adverse climatic stress declines the production performance of chicken which causes high economic loss to the enterprises as well as the farmers. Heat stress has an adverse effect on egg production, egg weight and shell quality of laying hen (Whitehead et al., 1998). Climatic variables like temperature, humidity, radiation and wind speed that directly affect the mechanism of thermoregulation and rates of heat exchange by all animals (NRC, 2001). Heat stress is a major factor that decreases productivity and reproductive efficiency of livestock due to lower feed intake and negative energy balance (De Rensis and Scaramuzzi, 2003). Moreover, it badly affect the production due to decline feed digestibility such as proteins, fats, starch (Bonnet et al., 1997). In addition, the acute heat stress drastically decreases the reproductive performance of hens due to alterations in acid-base balance and ion exchange mechanism (Mahmoud et al., 1996). Climate change in?uences the emergence of disease and their transmission due to increases vectors, pathogens. All the above effects impact a huge economic loss to the farmers as well as the country.

Blood Sample collection

Blood samples (5 ml per goat) will be collected aseptically from the jugular vein in a vacutainer tube (B.D. Bioscience, Germany) containing EDTA as anticoagulant and transferred to the laboratory in an ice box.

Isolation of Genomic DNA

The Genomic DNA will be isolated from the blood samples by ‘Phenol: chloroform isolation’ method as described by Sambrook and Russel (2001). The steps for isolation of genomic DNA are as follows:

Introduction

There is an ongoing debate on global warming worldwide as it is seriously impacting climate change. The global temperature has been increased by 0.74±0.18°C during the last century and the climate model projections summarized in the Intergovernmental Panel on Climate Change (IPCC) report indicate that the global surface temperature will probably rise a further 1.1 to 6.4°C during the twenty-first century (IPCC, 2007). High ambient temperature is one of the most important stressors to poultry, which has a direct relationship on profitability of chicken meat and egg production. A seasonal problem in many parts of the world, high environmental temperature (35-43^oC in tropical countries) causes economic losses through reducing feed intake while decreasing nutrient utilization, live weight gain, egg production, egg quality and feed efficiency in poultry (Corzo et al., 2003; Panda et al., 2007a; 2008). The ideal temperature for broilers is 10-22^oC for optimum body weight and 15-27^oC for feed efficiency (NRC, 1994). Layers will produce egg constantly in the temperature range of 10-30^oC. Above 30^oC, performance in terms of growth and egg production declines.

Introduction

The egg production in India is 75 billion and the broiler production is 4.2 million tonnes per annum. The growth rate of layer market is 6-7 percent per annum and broiler market is 8-10 percent per annum. The Indian poultry sector is valued at INR 1 lakh cr or USD 15.38 bn. Approx. 80 percent of egg production is contributed by commercial poultry farms, remaining comes from household/ backyard poultry. Backyard poultry plays a key role in supplementary income generation and family nutrition to the poorest of the poor. It is estimated that there are around 30 million farmers engaged in backyard poultry as per 19^th Livestock Census. Backyard poultry are being practiced for its inherent strengths. Free range birds reared by the farmers have the advantage of small body size, coloured plumage, broodiness to hatch chicks, adaptation to harsh climatic condition, lower diseases and production with least investment. The birds are scavenging in the backyard, supplemented by kitchen waste and are kept in low height houses for shelter using locally available materials. It helps to improve the nutritional status of rural poor and also improve the subsidiary income of the poor people. Such stocks make minimal use of land, labour and capital and integrate well into the backyard. Backyard poultry production system is self-sustaining because of minimal needs and can be afforded by poor people of the rural areas. The high yielding white feathered chicken varieties being reared in the intensive poultry farming are not suitable for backyard / free range backyard poultry farming due to the adverse climatic and high pathogen load prevailing in such rearing practices. Backyard poultry farming is an in-separable part of the poor tribal people and it will continue to be due to its advantages. Although backyard poultry production is not an occupation per se, it often supplements household income, primarily for poor families. Strengthening backyard poultry production may help overcome poverty and malnutrition in impoverished communities. However, the effect of climate change on these birds needs to be studied for its sustenance.

Introduction

The Intergovernmental Panel on Climate Change Fifth Assessment Report (IPCC, 2013) emphasized that warming of the climatic system is unequivocal and that anthropogenic warming will continue for centuries to come due to timescales associated with climate processes and feedbacks. While stresses caused by climate change are likely to negatively impact the agricultural and livestock sector and escalate existing small-scale farming challenges; agricultural and livestock productivity and sustainability have to improve to meet the needs of the growing human population (DEA, 2013; Zamykal and Everingham, 2009). Climate change is seen as a major threat to the survival of many species, ecosystems and the sustainability of poultry production systems in many parts of the world. Nevertheless, global demand for poultry products is expected to increase, as a result of the growing human population, and its growing af?uence. The extreme climatic conditions impose various stresses on poultry birds which adversely affect their growth, production and reproduction.

While climate change is a global phenomenon, its negative impacts are more severely felt by poor people in developing countries who rely mostly on the natural resource base for their livelihoods. Moreover, rural poor communities rely greatly for their survival on agriculture and poultry which belong to the most climate-sensitive economic sectors. Climate change is expected to intensify existing problems and create new combinations of risks and shift hazard zones. The incidences of draughts, snow-storms and blizzard like events have risen. The situation is made worst due to factors such as widespread poverty, inequitable land distribution, limited access to capital and technology inadequate infrastructure, long term weather forecasts and inadequate research and extension. Intensive poultry production has much less impact on global warming than organic or free-range production (Van der Sluis, 2007). Seo and Mendelsohn (2006) reported that small farms of poultry are better able to adapt to warming. However, organic egg production needs more energy than non-organic and increases most environmental burdens. The most disadvantageous, from environmental point of view, is litter-free breeding of birds which causes great amounts of liquid manure.

Introduction

Birds lack sweat glands; hence non-evaporative cooling mechanism (radiation, conduction and convection) is the major route of heat dissipation within thermoneutral range. Beyond this TNZ, majority of heat loss occurs as insensible heat loss i.e., Panting. Panting is one of the visible responses in poultry during exposure to heat stress associated with considerable energy expenditure. This specialized form of respiration dissipates heat by evaporative cooling at the surface of the mouth and respiratory passage. Panting increase, the loss of CO2 from the lungs, this leads to a reduction in the partial pressure of CO2 and also reduces bicarbonate levels in blood plasma. In turn, the lowered concentration of hydrogen ions leads to rise in plasma pH, a condition generally referred to alkalosis (Daghir, 2009). Birds also respond by reducing their feed intake and thus metabolizable energy (ME) intake to reduce thermo genesis as an adoptive mechanism. If panting fails to prevent their body temperatures from rising, the birds become listless, comatose and soon die due to respiratory, circulatory or electrolyte imbalances (Saif et al., 2003).

Introduction

Diversity connotes multiplicity of variety. In a given ecosystem, diversity refers to presence of number of different species of ?ora and fauna that have ecological niches in agreement with the environment. Scaling up, there exists diversity between different ecosystems. All life forms of ?ora and fauna on earth contains genetic material, that is the repository of an immense amount of genetic information in the form of traits, characteristics, etc. Focusing on the species level, genetic diversity refers to genetic variation that is observed in a population. Thus, genetic diversity is the total number of genetic characteristics in the genetic makeup of a species. This provides in built latitude to the nature and/or the livestock breeders (including farmers) to manoeuvre/ manipulate so as evolve an improved population of desired qualities and traits. Further, genetic diversity is essential because the presence of adequate and appropriate genes in a population will make the species tide over adversaries owing to climate change and other emerging threats like new disease outbreaks. The ‘desired’ divergent gene pool provides the inherent resilient mechanism that equip the species to cope with likely challenging situation.

Over the years, with human interventions, the genetic diversity has been interfered with to meet specific needs; mostly with respect to garnering higher production and productivity. In the process, the diversity has been compromised for achieving the unitary goal. In certain cases, geographical barriers and other bio-physical constraints have also led to loss of diversity within a population. Studies on impact of climate change especially the effect of rise in environmental temperature on milk production of dairy animals indicate that global warming will negatively impact milk production. During 2020, the annual loss in milk production of cattle and buffaloes due to thermal stress will be around 3.2 million tonnes of milk costing more than Rs 5000 Crore at current price. Similarly, there would be prevalence of many emerging diseases including those with zoonotic implications owing to change in climatic conditions. Thus, the present day society is confronted with an imminent development dilemma of ecology vs. economics more specifically genetic diversity vs. higher production. It has led to volume of debates and discussions on the livestock development agenda to be pursued. The apparently con?icting interests has also generated antipathy amongst two schools of development.

Introduction

Climate change represents a threat not only to the existence of individual species, but also to the genetic diversity hidden within them. The finding promises to complicate assessments of how climate change will affect biodiversity, as well as conservationists’ task in preserving it.

Climate change comes as an additional factor affecting a livestock sector that is already highly dynamic and facing many challenges. Important objectives of AnGR management include ensuring that AnGR are effectively deployed to meet these challenges (i.e. are well matched to the production environments in which they are kept) and that the genetic diversity needed to adapt production systems to future changes is maintained. Climate change is likely to create a number of problems in many areas of animal husbandry (housing, feeding, health care, etc.) and threaten the sustainability of many livestock production systems and their associated AnGR. At the same time, many of the specific challenges associated with climate change (high temperatures, disruptions to feed supplies, disease outbreaks, etc,) as well as the general unpredictability it brings to the future of the livestock sector, highlight the importance of retaining diverse genetic options for the future. The upper critical temperature of dairy cattle is lower than other livestock species (Wathes et al.,1983).

Livestock farming is an important activity to a large population of small and marginal farmers as well as landless agricultural labourers of Tamil Nadu. It also provides employment opportunities for most of the unemployed and underemployed in the rural areas. Tamil Nadu is bounded by the Eastern Ghats on the north, by the Nilgiris, the Anamalai Hills and Kerala on the west, by the Bay of Bengal in the east, and by the Indian Ocean on the south. Tamil Nadu is the eleventh largest state in India by area. The land area has been classified into seven agro-climatic zones based on soil characteristics, rainfall distribution, irrigation pattern, cropping pattern and other ecological and social characteristics. Tamil Nadu endowed with 13.97 per cent of recognised breeds of the domestic ruminants (cattle, buffalo, sheep and goats) with 22.55 millions of population (19^thLivestock Census-2012).

The extreme weather events being experienced at a greater frequency now a days are due to accelerated climate change caused mostly due to global warming. Global warming is basically a change in the climatic conditions of the Earth, brought about by a considerable rise in the near-surface temperature of the planet. Earth’s surface and the troposphere become warmer due to absorption of infrared radiation emitted by the Earth’s surface by Green House Gases(GHGs). The important green house gases include carbon dioxide(CO₂),methane(CH₄) nitrous oxide(N₂O), chloro-?uoro-carbons(CFCs), ozone(O₃) and water vapour(H₂O). Various climate models predict major changes in our weather patterns, environment, and way of life in absence of efforts for substantial reductions in GHG emissions. The CO₂ gas concentration of atmosphere has increased to 385 ppm as against the normal concentration of 300 ppm. The atmosphere contains only 1 % of the total global carbon pool. The undesirable changes can be reversed by increasing soil and eco system carbon pools, increasing mean resident time(MRT) of sequestered carbon and decreasing GHG emission to atmosphere.

Introduction

Climate change and pollution are the two major concerns that retard growth in animal sector particularly in a developing country like India. Pollution is directly contributed by human beings, while the former is also an after effect of continuous abuse of nature and natural resources. Hence these two areas are to be looked into seriously for country’s growth in general and animal production in particular.

Stress Effect

Stress is nothing but inability of an animal to cope with its environment, a phenomenon that is often ends up with a failure to achieve the full genetic potential. Stress may be from any origin and can even be a disease itself. There exists a variety of endocrine regulatory points of stress which limits the efficiency of production and reproduction. A simple transport produces an immediate constant increase in arginine, vasopressin and corticotrophinreleasing hormone secretion in animals. However, adenocorticotrophic hormone reaches a maximum in the first hour, while cortisol is highest during the second hour. Contrastingly, the hypothalamo–pituitary–adrenal response is delayed occurring only after glucose decreases below a threshold in an insulin treated animal. Negative feedback effects appear to operate mainly at the pituitary level during transport but at the hypothalamus during hypoglycaemia.

Introduction

Climate change is one of the important areas of concern for world to ensure food and nutrition security to the growing population. The impacts of climate change are global but development countries like India are highly vulnerable as large population depends upon agriculture and allied service. As per the latest report, the global average temperature rises is 0.99⁰C (NASA, 2016) since pre-industrial time (1850). The year 2016 ranks as the warmest year, 16 of the 17 warmest years in the 136 years record all have occurred since 2001. The predicted temperature rise for India is in the range 0.5-1.2⁰C by 2020, 0.88-3.16⁰C by 2050 and 1.56-5.44⁰C by the year 2080. Studies in India showed significant negative impacts of climate change, predicted to reduce yields by 4.5 to 9.0%, depending on the magnitude and distribution of warming. Agriculture sector is contributing about 17.4% of India’s GDP, a 4.5-9.0% negative impact on production implies a cost of climate change to be roughly up to 1.5% GDP per year. Therefore, Govt. of India has accorded high priority on research and development to cope with the climate change in general and agriculture and allied sector. The Prime Ministers National Action Plan on Climate Change has Identified Agriculture and allied sector as one of the 8 national Missions. Agriculture and the future of global food security figure very importantly in climate change negotiations. As stated in Article II of the United Nations Framework Convention on Climate Change (UNFCCC), the goal is to ensure stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent “dangerous anthropogenic interference with the climate system”. With this background to meet the challenges of sustaining domestic food production in the face of changing climate and to generate information on adaptation and mitigation in agriculture to contribute to global for a like UNFCCC, the Indian Council of Agricultural Research (ICAR) launched a flagship network project National Initiative on Climate Resilient Agriculture (NICRA) during XI plan in February 2011, and during XII Plan it is referred as National Innovations in Climate Resilient Agriculture (NICRA).

Profitable broiler production demands dietary nutrients including energy, protein, mineral, vitamins and additives as per the body requirement to meet high growth of the birds. Though energy and protein are the principal nutrients required for growth of birds but the essential role of minerals in poultry production cannot be ignored. Minerals have multifaceted role in the body. They are the components of bones and other soft tissues and play significant role in acid base balance, osmotic pressure regulation and membrane permeability. Trace minerals have major role in functioning of various enzymatic, metabolic and biochemical reaction for effective utilization of nutrients. They are constituents of many proteins involved in metabolism of nutrients, immune defense systems and hormone secretion pathways. Deficiency diseases, metabolic disorders, poor growth rate, low production, low hatchability and low feed efficiency are normally observed on deficiency or imbalance supply of minerals to livestock and poultry.

Along with other trace minerals, selenium is supplemented in broiler ration as an essential trace mineral required for normal growth and production of broiler birds. It was discovered in 1817 by J.J. Berzelius.

Introduction

Climate change is one of the biggest environmental threats to food production, water availability, forest biodiversity and livelihoods. Warming of climate system of the earth is a unanimously accepted reality and probably one of the most prominent challenges for scientists, development workers, policy makers and other relevant stakeholders regarding development and sustainability in international and national arena during past several years. Intergovernmental panel on climate change (IPPC) has described climate change as any anthropogenic or naturally occurring alteration in the climate over time. It is widely believed that developing countries such as India will be impacted more severely than developed countries. Climate change is emerging as a big threat to sustainable development of agriculture including animal husbandry and to the livelihood of people. Extreme events such as cold waves, heat waves, ?oods and high intensity single day rainfall events are on increasing trend during the last decade (Dikshit and Birthal, 2010). It is probable that by 2030 the impacts of climate change will be noticeable, although not dramatic and will be largely manifested through changes in pasture growth and quality, and greater inter-annual variability in pasture production. Livestock contribute to climate change by emitting methane through enteric fermentation. But they are also affected by climate change it directly and indirectly, hence affecting their economic and social contributions. Various studies suggest that the changes in pasture growth, composition and production will be dependent on the actual combination of CO₂, temperature and rainfall conditions. Livestock productions under both intensive and extensive systems are subjected to so many stresses, where they undergo different types of physiological adjustments to cope up with stressful conditions. Productions are drastically reduced during stress and require managemental interventions both in terms of optimum nutrition and health care (Soren, 2013).

Introduction

Livestock plays an important role in the sustainable livelihood of poor people of rain-fed agro-ecosystem, because of inherent risk involved in the crop farming due to uncertainty of rainfall and occurrence of recurrent droughts. They provide income and increased economic stability, and often the most important “cash crops” in small-scale mixed farming systems. Livestock sector in India is highly livelihood intensive and most rural households own livestock of one species or the other and earn supplementary incomes from them. Livestock holding is less iniquitous than land holding and income from livestock is more equitably distributed. The sector contributes 25.6 per cent of the value of output at current prices of total value of output in agriculture, fishing & forestry sector and in GDP, it was 4.11% in 2012-13 (19^th livestock census, 2012) therefore, development of the livestock sector is the critical pathway to rural prosperity

As per the 19^th livestock census, the total livestock population consisting of Cattle, Buffalo, Sheep, Goat, Pig, Horses & Ponies, Mules, Donkeys, Camels, Mithun and Yak in the country is 512.05 million numbers in 2012. The total Bovine population (Cattle, Buffalo, Mithun and Yak) is 299.9 million numbers in 2012 which shows a decline of 1.57% over previous census. In percentage basis distribution of livestock were: 37.28% were cattle, 21.23% buffaloes, 12.71% sheep, 26.40% goats and 2.01% pigs. The corresponding figures as per the 18th Livestock Census were 37.58%, 19.89%, 13.50%, 26.53% and 2.10%. The number of milch animals (in-milk and dry) in cows and buffaloes has increased from 111.09 million to 118.59 million, an increase of 6.75%. The number of animals in milk in cows and buffaloes has increased from 77.04 million to 80.52 million showing a growth of 4.51%. The Female Cattle (Cows) Population has increased by 6.52% over the previous census (2007) and the total number of female cattle in 2012 is 122.9 million numbers. The Female Buffalo population has increased by 7.99% over the previous census and the total number of female buffalo is 92.5 million numbers in 2012. The buffalo population has increased from 105.3 million to 108.7 million showing a growth of 3.19%. The total sheep in the country is 65.06 million numbers in 2012, declined by about 9.07% over census 2007. The Goat population has declined by 3.82% over the previous census and the total Goat in the country is 135.17 million numbers in 2012. The total poultry population in the country has increased by 12.39% over the previous census and the total poultry in the country is 729.2 million numbers in 2012. The total number of animals in milk in the country is 116.77 Million numbers.

Introduction

Stress represents the reaction of body to stimuli that disturb normal physiological equilibrium or homeostasis, often with detrimental effects (Khansari et al., 1990). Domestic animals undergo various kinds of stress such as physical, nutritional, chemical, psychological and thermal stress (Marai et al., 2007; Nardone et al., 2010). Figure 1 summarises the different types of stressors and their effects on animals.

Introduction

The animal husbandry and agriculture are the major resource of income for the farmers and directly affects the economic conditions of farmers. Livestock sector plays a vital role for livelihood food security in India. Buffalo plays an important role in dairy industry and contribute 49 per cent of total milk production in India (BAHS, 2017). Murrah is one of the best buffalo breeds in the world and also widely used for up-gradation of non-descript buffaloes in India. Murrah buffalo have poor thermoregulation mechanism compared to other domestic ruminants in tropical countries and are more prone to heat stress due to very less sweat glands, jet black colour and thin hairs on body surface (Das et al., 1999; Khongdee et al., 2013) which reduce the ability of cutaneous evaporation and largely responsible for its low productivity and consequently reducing the reproductive efficiency (Gudev et al., 2007). India continues to be the largest milk producer in the world since 1997. Milk production has increased from 165.4 million tonnes (2016-17) to 176.4 million tonnes (2017-18) (DAHD, GOI). The demand for milk is increasing at a very fast pace due to exponential population growth and the gap in the production and supply is increasing. Out of 300 million bovines, only 88 million are in milk leaving large unproductive animals including 84 million males (19th Livestock census, 2012). If the gap of production and supply is to be bridged, the large number of constraints that affect reproductive efficiency and productivity of dairy animals must be addressed effectively. One important factor that can contribute to the productivity of animals is qualitative production and quantitative adequacy of semen doses for A.I.

Introduction

Climate change has been, and continues to be one of the important causes of low productivity from animal agriculture in tropical countries like India through crop failures, fodder scarcity and increased incidence of endemic animal diseases. It impacts animal agriculture and cause immediate danger for human societies as livelihoods and food production are being adversely affected. Farm ruminant animals contribute to food supply by converting low-value materials, inedible or unpalatable for human, into milk, meat, and eggs and directly contribute to nutritional security. Besides contributing over one-fourth to the agricultural GDP, it provides employment to 18 million people in principal or subsidiary status in India. Nearly two-thirds of farm households are associated with farm animal rearing and 80% of them are small landholders (≤2 ha). As a result of various socio-economic and market driven factors, during the last one decade, large scale transformation took place in both extensive and intensive animal agriculture with regards to type and breed of the animal. A lot of high yielding, low disease resistant and more vulnerable crossbreed animal population have been increased in present animal production systems inorder to meet the market demands. Climate changes could impact severely the economic viability and production of these intensive animal production systems through increased incidence of drought/?oods/cyclones/hailstorms etc. Drought and high ambient temperatures in particular, affects production of milk, meat and egg, reproduction, health of animals and condition of pastures. Changes in pasture and crop biomass availability and quality affect animal production through changes in daily or seasonal feed supplies. Heavy rains and associated ?oods would washout the fodder resources and animals. Recent incidences of severe hail storms are causing brutal injuries to the grazing animals. To mitigate the adverse affects of extreme weather events and cope with changing climate, much precised resilient technologies suitable to local conditions and resources are needed. Hence, one should be critical in recommending smart animal-agriculture technologies in view of much diversified and heterogeneous group of farmers and the resources accessible to them. This will help in sustainable productivity from animal-agriculture and profitability to the farmers even in the era of climate change.

Introduction

Animals have delicate balance of heat production and heat loss, which is maintained by thermoregulatory mechanisms in response to environmental temperature and humidity combinations. When the heat loss is overrun by heat gain, heat stress occurs. During heat stress, increase in the core body temperature due to failure of homeostatic mechanism reduces productivity of the animals below their original genetic potential in growth, milk production, milk constituents and reproduction (Ravagnolo and Misztal, 2002). Impending climate change scenario is a unanimously accepted reality. Increase in the anthropogenic greenhouse gases (CO₂, CH₄and NO₂) cause radiation leading to excess warming of the earth’s environmental system. According to IPCC, the predicted temperature rises for the end of 21^st century may be in the range of 1.8^oC to 4^oC (IPCC, 2007). The climate change has complex impact on the livestock production. Temperature or heat stress will be one of the major environmental factor to in?uence the health and productivity of livestock population. The least tropically adapted livestock may be severely affected by heat stress. The manage mental and ameliorative practices can deal with the heat stress in short term, however the long term focus of developing genetic heat stress tolerance in livestock population will be a significant and impactful strategy.

Introduction

In the past few decades, persistent change in climatic variables coupled with global warming lead to the genesis of climatic stress. Currently climatic stress is considered as the most serious ultimatum to livestock’s growth, development, production and reproduction in tropics and subtropics including India. Livestock’s in tropical countries are most commonly affected by the menace of climatic stress. It has been shown that, climatic stress upsets animal’s body homeostasis resulting in grievous decline in livestock’s production and productivity across the world. In general, livestock adapt to the climatic insults via behavioural, physiological, biochemical, metabolic, endocrine and molecular responses. Despite of these thermal adaptation mechanisms, livestock’s witnesses the perils of climatic stress thereby incur major loss in their production and productivity. Therefore, in this changing climatic scenario, it is imperative to rigorously understand and explore the precise mechanism of thermal adaptation to generate climate resilient species which could upsurge the socio-economic status of the farmers as well as the country.

Introduction

Climate-smart small ruminant production is an approach for transforming and reorienting the small ruminant production under the new realities of climate change. The main objective of climate-smart small ruminant production is to make the production sustainable for national food security, enhancement of resilience, and reduction of greenhouse gasses emission. Climate-smart agriculture is that, which increases the sustainable productivity, enhances resilience, reduce greenhouse gasses (GHG) and boost the achievements of national food security and development goals (FAO, 2013). In India, most of the rural communities earn their livelihood on smallholder livestock production system and they are very much vulnerable to climate change. Therefore, the need of the hour is to address the impact of climate change both in terms of adaptation as well as mitigation perspective (Vemeulen et al., 2013). The increase in population, the higher income, urbanization, and change in dietary preference leading to increased demand for animal products that pressurizing for higher productivity of livestock (Delgado et al., 1999; Thronton et al., 2007).

The mutton production in our country was 399 million Kg in 2012 which will be around 537 million Kg by 2020, and 840 million Kg in 2030 and 1317 million Kg in 2050. However, the requirement for mutton would be 813 million Kg by 2020, 986 million Kg by 2030 and 1408 million Kg in 2050. Similarly, the wool production in the country is 44.7 million Kg in present time (2011-2012), which have to be increased 150, 180 and 200 million Kg in 2020, 2030 and 2050, respectively. But the harsh climatic condition, shrinkage grazing resources, increase in cultivation and industrialization and decline interest of new generation for small ruminant rearing; making a question mark to meet the future demand in the current production trend. The scarcity of resources, impact of climate change and increase demand for mutton has made the traditional coping mechanism less effective (Sidahmed, 2008). Therefore, we need climate-smart sheep and goat production option that can achieve the triple win scenario of increasing productivity, adapting and building resilience to climate change through a reduction of greenhouse gas (GHG) emission (FAO, 2013; Shikuku et al., 2016).

Introduction

The Intergovernmental Panel on Climate Change (IPCC) assessment reports (IPCC, 2007) suggests that consequently occurring climate extremes are likely to increase the frequency and intensity in the future. In the Indian context, events such as landfall of rare of rarest most intense pre-monsoon Tropical cyclone Fani (2019), back to back landfall of very intense tropical cyclones such as Phalini (2013) and Hudbud (2014), Cyclone Komen (2015), Extreme rainfall events of Kerala (2018 and 2019), Heavy rainfall events of over Northeastern states of India (2019), Cloud burst events of Uttarakhand (2013), Rainfall over Himachal Pradesh (2019), Mumbai Rain fall (2015) and extreme heat wave conditions of 1998, 2015 and many similar type of extreme events are not usual. However, at present there is no unanimity among scientists to exclusively and directly link such extreme weather events to climate change, however based on number of studies and observation data sets it is agreed that the impact of climate change is evident (beyond the natural variability) in many part of the globe including India. In 2019 monsoon season at least 1351 deaths happened to ?oods, heavy rainfall and landslides compared to 1550 for year 2018. In this manuscript, recent research findings related to extreme weather events in the context India are discussed in the following section-2, need for high resolution and long term data sets are emphasized in section-3, followed by recommendations as part of future preparedness, that will not only enable us to address these issues in a robust scientific manner but also provide us strong resilient society to face these extreme weather events in an optimized and effective manner to minimize the loss of lives, properties and socio-economic conditions of citizens.

Introduction

Climate change has been realised during 1840s when indisputable evidence of former ice ages was obtained. The climate has altered sufficiently in many parts of the world even within the last few decades which will affect the possibilities for agriculture and settlement. Reliable weather records have been kept only during the last hundred years or so, but proxy indicators of past conditions from tree rings, pollen in bog and lake sediments, ice core records of physical and chemical parameters, and ocean foraminifera in sediments provide a wealth of paleoclimatic data. The standard interval adopted by the World Meteorological Organization for climatic statistics is thirty years:1901–30, 1931–60, for example. However, for historical records and proxy indicators of climate, longer, arbitrary time intervals may be necessary to calculate average values. Tree rings and ice cores can give seasonal/annual records, while peat bog and ocean sediments may provide records with only 100- to 1,000-year time resolution. Hence, short-term changes and the true rates of change may, or may not, be identifiable.

The present climatic state is usually described in terms of an average value (arithmetic mean, or the median value in a frequency distribution), a measure of variation about the mean (the standard deviation, or interquartile range), the extreme values, and often the shape of the frequency distribution. A change in climate can occur in several different ways, for example, there may be a shift in the mean level, or a gradual trend in the mean values. The variability may be periodic, quasi-periodic or non-periodic, or alternatively it may show a progressive trend . First, it is important to determine whether such changes are real or whether they are an artefact of changes in instrumentation, observational practices, station location, or the surroundings of the instrumental site, or due to errors in the transcribed data. Even when changes are real, it may be difficult to ascribe them to unique causes because of the complexity of the climate system. Natural variability operates over a wide range of time scales, and superimposed on these natural variations in climate are the effects of human activities.

Climate change may manifest itself as rapid changes in climate in the short term or subtler changes over decades. Generally, climate change is associated with an increasing global temperature. Various climate model projections suggest that by the year 2100, mean global temperature may be 1.1–6.4 °C warmer than in 2010. The difficulty facing livestock is weather extremes, e.g. intense heat waves, ?oods and droughts. In addition to production losses, extreme events also result in livestock death (Gaughan and Cawsell-Smith, 2015). Animals can adapt to hot climates, however the response mechanisms that are helpful for survival may be detrimental to performance. In this article we make an attempt to project the adverse impact of climate change on livestock production. There is a two-way relationship between livestock production and environmental health.

Impact of climate change on livestocks

The potential impacts on livestock include changes in production and quality of feed crop and forage, water availability, animal growth and milk production, diseases, reproduction, and biodiversity. These impacts are primarily due to an increase in temperature and atmospheric carbon dioxide (CO₂) concentration, precipitation variation, and a combination of these factors. Temperature affects most of the critical factors for livestock production, such as water availability, animal production, reproduction and health. Forage quantity and quality are affected by a combination of increases in temperature, CO₂ and precipitation variation. Livestock diseases are mainly affected by an increase in temperature and precipitation variation.

Climate change is now a global phenomenon and its impact on livelihood health and wellbeing, and overall quality of life is not deniable. No country is free from the overall impacts of climate change, but poor people of developing countries have been disproportionately affected by the adverse effects. Vulnerability in the context of climate change is a function of sensitivity, exposure and adaptive capacities. Odisha is the 9^th largest state by area and the 11th largest state by population in India. The state has an area of 155,707 km², which is 4.87 per cent of the total area of India, and a coastline of 480 km. In the eastern part of the state lies the coastal plain. It extends from the Subarnarekha river in the north to the Rushikulya river in the south. The State is broadly divided into four geographical regions, i.e. Northern Plateau, Central River Basins, Eastern Hills and Coastal Plains. The climate of the state is characterized by hot summer and cold winter in the interior parts. The state has historically been highly prone to climate change and multiple hazards – mainly cyclones, droughts and ?oods. Natural disasters devastate millions of lives and livelihoods in Odisha each year. More children and women suffer from the effects of natural disasters and this is predicted to worsen as storms ?oods and droughts become more severe and frequent because of climate change.

Introduction

According to the Intergovernmental Panel on Climate Change, climate change refers to the long-term changes (typically decades or longer) in the average state of the climate with statistically significant variations.

The climate change, defined as the long-term imbalance of customary weather conditions such as temperature, radiation, wind and rainfall characteristics of a particular region, is likely to be one of the main challenges for mankind during the present century.

A general definition of climate change is a change in the statistical properties (principally the man and spread) of the climate system when considered over long periods.

Climate Resilience

Climate resilience can be generally defined as the capacity for a socioecological system to: Absorb stresses and maintain function in the face of external stresses imposed upon it by climate change. Adapt, reorganize, and evolve into more desirable configurations that improve the sustainability of the system, leaving it better prepared for future climate change impacts.

Organic certification is the procedure by which the accredited certification Body by way of a Scope Certificate assures that the production or processing system of the operator has been methodically assessed and conforms to the specified requirements as envisaged in the National Programme for Organic Production (NPOP).

The NPOP provides for Standards for organic production, systems, criteria and procedure for accreditation of Certification Bodies, the National (India Organic) Logo and the regulations governing its use. The standards and procedures have been formulated in harmony with other International Standards regulating import and export of organic products.

In last few decades awareness about social and environmental issues has been increased. Agriculture is one of basic enterprise that has major role in these two issues . Organic agriculture is one of the agriculture production system that not only supportive to the environment but also sensitive to the social issues like employment, health, migration etc. Definitions given by two international organizations also verify this concept.

Over 85% of the rural population in India is dependent on agriculture for their livelihood. About 50% of them being poor, most of their earnings are spent on meeting their basic needs, particularly food. With the increasing population over the last five decades, their per capita share of land and water resources has reduced substantially. As a result, rural people are faced with the problem of unemployment.

Inspite of agriculture being a major source of livelihood, the productivity as well as profitability in agriculture have been significantly low in the country. While the productivity can be attributed to illiteracy, lack of awareness, poor dissemination of technology, inadequate investment in agricultural inputs and poor communication and information services, lack of profitability is mainly due to inadequate and inefficient infrastructure required for forward and backward integration, poor post harvest and processing facilities and poor connectivity with market, resulting in exploitation by large number of middlemen. Traditionally, the farmers have been dependent on the Agricultural Extension Agencies of the State Government for information, input supply and marketing services. Over the years, these agencies are not being able to cope up with the growing responsibilities and specific needs of the farmers. To overcome this problem, Farmers’ Cooperatives have been promoted to supply various agricultural inputs and organise the marketing of farm produce. Although, this was an excellent concept, most of these cooperatives could not carry out the work economically and efficiently due to lack of commitment from the elected leaders and unfair trade practices by the competing traders. The farmers, not realising the inability of the extension agencies, are still dependent on the Government and external agencies to help them in managing their agri-business.

Heifers are future cows of the herd. Production and reproduction performance of cows depends on the care and management during calf and heifer stage. Rearing period of heifers can be divided into two stages, viz. from weaning to first service and service to calving.

Care of calf before birth

During the last 2-3 months of gestation the fetus grows rapidly. Calf draws a significant quantity of nutrients from the mothers system. It has to be replenished by additional feeding of the cow. A cow should be fed well-balanced ration for maintenance.