eChapters

Climate risk management in the semi-arid tropics (SAT) is one of the major challenges to achieving food security and development in India and large parts of sub-Saharan Africa and also in the case of Australia. Climate-induced production risk associated with the current season-to-season variability of rainfall is a major barrier in making rainfed agriculture sustainable and viable farm business. Since season outcomes are uncertain, even with the best climate information, farmers have limited flexibility in applying management with confidence. In fact in risky environments, farmers most often respond by adapting a risk averse strategy and are reluctant to invest in even risk reducing measures (Leathers and Quiggin 1991). In the SAT agro-ecologies, there are a limited range of enterprise or crop options to consider which may be further restricted by cultural traditions, food preferences or market opportunities.While there are fundamental differences between large scale commercial farms in Australia compared to the predominantly smallholder resource poor farms found in India, when it comes to climate risk management in the SAT, there are many commonalities. The purpose of this paper is therefore to (i) establish a framework for managing climate variability and transforming farming systems to be more resilient and sustainable for future climates; and (ii) provide some case study examples from climate risk management in low rainfall cropping system in Australia and consider how they may be applied in smallholder systems of the SAT.

Introduction

The major environmental issue of global nature is increasing green house effect, which is warming earth. Enhanced green house effect is mainly due to increased emission of carbon dioxide, methane, nitrous oxide and CFCs. Because of the increasing concentrations of these greenhouse gases, there is much concern about future changes in our climate and direct or indirect effect on agriculture (Arora et al. 2011). Increases in atmospheric concentrations of green house gases and additional anthropogenic perturbations of the climate system affect the spatial and temporal distribution of weather regimes which contribute to shaping the diversity of agricultural activities throughout the world (Havlik et al. 2015). Consequences of changing climatic attributes such as rainfall, moisture regimes, temperature etc. affect qualitative and quantitative production of agricultural crops as well as livestock population by altering pasture quality and yield (Thornton et al. 2009). In the context of climate change mitigation, now a days adoption of climate smart agriculture work as an effective practice.

Introduction

Carbon on earth is stored primarily in rocks and sediments. Only a tiny fraction resides in mobile reservoirs – the atmosphere, oceans, soil and terrestrial biosphere – to play a vital role in biological, physical and chemical processes at the earth’s surface. The small fraction of C present in the atmosphere as CO₂ is especially important, as its abundance is a major regulator of the climate of the planet. The rapid increase in atmospheric concentrations of CO₂ over the past 150 years, reaching current concentrations of about 380 ppm, corresponds with combustion of fossil fuels since the beginning of the industrial age. Conversion of forest lands to agricultural use also redistributed C from plants and soils to the atmosphere and altered ecological balance through physiological effects on vegetation. The understanding of C sources and sinks has advanced enormously in the last decade. However, we cannot yet quantitatively define the global effects of human activities such as agriculture and forestry on climate change. An understanding on the long-term changes in atmospheric concentration will help enhance understanding on how the earth’s climate will evolve in future.

Cluster Sampling (Meaning and Concept)

Cluster sampling is a special type of sampling which is used when we have to make a large survey such as a survey for the whole country and whole state etc. to know the privilege. Under this method, the total population is divided into some recognizable subdivisions known as clusters. Out of all the clusters, a given number of clusters are chosen at random. All the items covered by the selected clusters are included in the sample.

A sampling technique in which we divide the whole population into groups or subgroups in such a way that there is heterogeneity within each group and homogeneity among the groups and then a simple random sample of n groups is selected from a total of N groups of population and finally all the units of selected clusters from our sample.

1.    Introduction
    
2.    Edible coatings used in Seafood Products
    2.1    Pre-dust
    2.2    Batter
    2.3    Breading
    
3.    The Coating Process
    3.1    Portioning
    3.2    Pre-dusting
    3.3    Application of batter
    3.4    Application of breading
    3.5    Pre-frying / Flash frying
    3.6    Freezing
    3.7    Packing and storage
    
4.    Coating Process Equipment
    4.1    Forming machine
    4.2    Pre-dusting machine
    4.3    Batter application equipment
    4.4    Breading application equipment
    4.5    Fryers
    4.6    Spiral freezers
    
5.    Coating Process Lines
    5.1     Single line breading system
    5.2     Tandem line breading system
    5.3     Tempura or batter-fry  Line breading system
    5.4     Tempura-Japanese Line breading system
    
6.    Coated Fishery Products
    6.1    Fish fingers
    6.2     Coated fish sillets
    6.3     Fish mince based coated products
    6.4     Coated shrimp products
    6.5     Coated squid products
    6.6     Coated bivalve products
    6.7     Crab claw balls
    
7.    Common Quality Problems Encountered during the Coating of Seafood
    7.1     Voids
    7.2     Blow off
    7.3     Pillowing
    7.4     Tailings
    
8.     Innovative Processes in the Production of Coated Products
    
References

Abstract
 
The climate is one of the main determinants of agricultural production. At present, climate change has been appeared as a tremendous global crisis and modern agriculture is responsible for anthropogenic emissions of Greenhouse Gases (GHGs) which are important causing factors.  The ill effects of global warming and climate change have been reflected adversely in agriculture causing threat to food productivity and security. Thus there is an urgent need for adoption of ecologically sound and economically viable farming practices to mitigate the adverse effects of global warming as well as climate change. Organic agriculture is one of the most prominent and widely practiced ecologically sound farming systems and it might be a suitable option as it is based on the principles of ‘care, health, ecology and fairness’ with the capability to reduce emission of GHGs. Moreover, organic agriculture provides several gains like contribution to the conservation of biological diversity and animal welfare, supply of local products of natural origin, reduction of fossils fuel energy and protection of the environment from pollution with chemicals, carbon sequestration and restoration of soil fertility, assurance to agricultural sustainability, and thus ensuring food security to ever growing population of the world.

The choice of hormones and drugs acting on reproductive system are important as therapeutic agents during reproductive disorders like anoestrus, metritis, pyometra, repeat breeder, retention of fetal membranes, delayed puberty, ovarian disorders etc.  The administration of specific chemotherapeutic agent is of paramount importance in treating reproductive disorders in dairy animals.  The dosage, route, frequency and indications of chemotherapeutic agents acting on reproductive system are mentioned in tabular form as below.

1    General line of treatment of poisoning in animals

2    Systemic antidotes-dosage and method of treatment large animals

3    Small animals

4    Plant toxins

5    Zoo toxins

Principal Scientist and I/c Head, Division of Social Sciences and Training IIHR, Hesaraghatta Lake Post, Bangalore – 560 089, Karnataka

Extension organizations are highly sociable organizations with a definite purpose of using the grass root principle and democratic leadership in bringing transience in the organization and society. In this direction the communication styles most suited for these extension functionaries in bringing these transitions need to be studied and understood and developed for effective functioning of these organizations as nucleus of change in transforming societies for development

Introduction

Two types of interactions, i.e. competitive and complementary, are found in ecosystems and agroecosystems (Callaway 1998), which shape community structure, plant diversity and system’s functions (Callaway 1995; Pugnaire et al. 1996; Bruno et al. 2003). Competitive interaction in ecosystems (Wedin and Tilman 1993) and agro-ecosystems (Pandey et al. 1999) is well documented. Mechanism of complementary interaction, however, is not much understood so far. Some studies (Bertness and Callaway 1994; Callaway 1998) argue that complementary interaction is facilitative, either facultative or obligatory, and occur generally in harsh physical environments. This suggests that habitat amelioration by neighbours is a common denominator of positive interactions (Bertness and Callaway 1994; Callaway and Walker 1997). Other studies report that complementary interaction is mutualistic (Boucher et al. 1982). Irrespective of whether facultative or mutualistic, it is now well established that complementary interaction is evolutionary (Bertness and Callaway 1994). But, it is still inconclusive how two species exist together in ecosystems and agroecosystems (Bertness and Callaway 1994).

Abstract
Proteins are comprised of domains, folds and motifs, which form its basic building blocks. Most efforts to understand protein evolution and its function have focused on domains as these can fold into a stable three-dimensional structure independent of the rest of the protein chain and generally perform a unique function conserved over the evolution. Genetic recombinant techniques allow reorganization of domains, called domain shuffling, resulting in different combinations of domains in different proteins. This along with swapping and insertion of domains results in complex architectures and are responsible for new protein functions in evolution. Protein domains are very useful in analyzing the mechanisms of protein folding and their stability and structural transformations in various conditions. This can be done reliably if a multi-domain target is considered only in terms of its constituent domains. The underlying goal is to reduce a complex protein structure to a set of simpler yet structurally meaningful units, each of which can be analyzed independently.

Introduction

Natural evolution gifted the biological world a treasure of diverse bio-molecules that take part in various cellular activities. Proteins, one of the vital molecules of biological function are wisely folded polymers comprising 20 different aminoacids. Function of each protein is encoded in its aminoacid sequence. Aminoacid residues can indulge in bonded or non-bonded interactions depending on the environment. These inter residue interactions with in a polypeptide drive its folding in to a compact conformation from a linear molecule. Biochemical properties as well as the linear arrangement of the aminoacids determines the three dimensional structure of a protein. These determinants of defined structure directly or indirectly dictates functional fate of the folded protein also.

Abstract

Biological Pathways represent system level sophistication of organisms. An exclusive peek into the extent of sophistication of an organism may provide proof of its past evolutionary struggle and position in the developmental trend from pathway point of view. This knowledge may not align with the traditional universally acknowledged standard 16s rRNA trend. Analyzing the reasons behind such discrepancy can constitute an important research work. To map sophistication of one organism with respect to other organisms, phylogeny is required. Here, we are mapping the level of sophistication in terms of enzymes among a set of TCA cycles belonging to different species, arbitrarily chosen from the KEGG/PATHWAY database. For this purpose, we converted the metabolic pathway information into simplified enzyme-enzyme relational (E-E-R) graphs. Similarity scores obtained from inter-genus, intra-genus as well as inter-species comparison of these graphs are used for phylogenetic tree construction. These phylogenetic trees throw light on the trend of development of metabolic pathways among different species. But peculiarly, these trees have less similarity with the conventional evolutionary phylogenetic trees constructed from NCBI taxonomy data. In this paper, we have tried to find some justifications for this dissimilarity among phylogenetic trees, by considering their habitats.

Abstract
Combined advancement in computer sciences and hardware with uniformly significant developments in molecular biology and chemistry are providing toxicology with a powerful new tool box. This tool box of computational models promises to increase the efficiency and the effectiveness by which the hazards and risks of environmental chemicals are determined. Computational toxicology focuses on applying these tools across many scales, including vastly increasing the numbers of chemicals and the types of biological interactions that can be evaluated. Apart from that, knowledge of toxicity pathways gathered within the tool box will be directly applicable to the study of the biological responses across a range of dose levels, including those more likely to be representative of exposures to the human population.  Although inappropriate pharmacokinetic properties are a major cause of abrasion in the safety issues are recognized as today’s single largest cause of drug candidate failure. It is expected that the right balance of in vivo, in vitro and computational toxicology predictions applied as early as possible in the discovery process will help to reduce the number of safety issues.

The advancements in the field of informatics, biology and allied fields of technology led to the emergence of an inter-disciplinary field known as ‘Bioinformatics’. This field is an expanding and challenging tool for the collection, storage, organization, integration, analysis and simulation of biological data for utilization in biotechnology.

Collection of Data for Bioinformatics

An epoch making revolution in Genomics in recent years in deciphering plant, animal and microbial genome sequences, Proteomics, Statistics, Instrumental techniques, Structural and Computational Biology have given input to fragmented pieces-and-bits of information on biological materials. Each data is a discrete piece of important but defragmented information regarding a molecule (protein, RNA, DNA, sugars or lipids etc) or a reaction or at best a pathway, supposed to be occurring in a living system independently at a given time and space. However, as in a living system each molecule or a process exists in unison with other entities of its kind, these fragmented data are to be stored, organized, and then integrated and analysed to form an integrated part of a whole chain of events – now called a ‘SYSTEM’. Storage and organisation of data Explosion of knowledge in the field of biology and generation of new informations (data) needs well storage, organization and a faster distribution among the scientific workers. The advent of super computers, high speed computing and development of algorithms for data formatting, assists in the storage of data at the site of origin and distributed through the hyperlinks in world wide web (www).

Livestock have the potential to be transformative; by enhancing food and nutrition security and providing the income to pay for education and for other needs, livestock can transform lives of many (Jimmy Smith et al., 2013). The projected growth of population is 9.6 billion in the year 2050 from the current population of 7.2billion (Gerber et al, FAO, 2013). The world demand for milk and meat in 2050 is expected to expand 58 and 73% respectively from their demand levels in 2010 (FAO, 2011). Nevertheless, the growth animal agriculture is not on par with the demand. Today, in a world of limited resources, in the face of climate change and a rising world population, a major issue is global food security (Augustine et al 2013). The key inferences of the latest approved summary for policymakers by the IPCC (2013) on climate change are 1). Warming of climate system is unequivocal and will continue beyond 2100. Global surface temperature change for the end of the 21st century is expected to exceed 1.5°C relative to 1850 to 1900 for almost all RCP scenarios 2). It is very likely that frequency of heat waves and heavy precipitation events have increased 3).

Modern research on life science is progressing at the nanoscale not only with the objective to reduce time and cost but also to ease the handling and working conditions. Application of nanotechnology in various domains of science has led to the enormous innovations. This field facilitates better understanding as well as treatment of living system, activate biotechnological processes, synthesizing new drugs for targeted delivery and biocompatible materials for sustainable environment. Throughout the world nano science is getting wide propaganda. Its application to medicine is increasing rapidly in order to develop nano-drugs with prolonged availability and efficient delivery through rearrangement of molecules at the nanoscale using molecular interactions for example van der Waals forces, H bonds, electrostatic dipoles and various surface forces.

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

Appendix-'I'    :    Mock Drill Reporting Format
    
Appendix-'J'    :    Suggested Roles and Responsibilities of Stakeholders

Introduction

Inappropriate land use and cultivation practices are one of the main reasons for the poverty and food insecurity faced by smallholders in most parts of the rural regions in India and other developing countries. Unsustainable agricultural practices lead to an exhaustion of soil resources, which results in reduced land productivity, aggravated land degradation, and a reduction in biodiversity. Conservation agriculture (CA),  has shown to improve, conserve and use natural resources in a more efficient way through integrated management of available soil, water and biological resources. It is now widely recognized as a viable concept for sustainable agriculture due to its comprehensive benefits in economic, environmental and social terms. Its ability to increase grain yields to provide better economic performance and reduce production risks and to improve energy use efficiency has been well-documented.