eChapters

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).