eChapters

1.     Introduction    424

2.    Conventional Methods of Hydrogen Production    426

3.    Biological Methods of Hydrogen Production    429

    3.1.    Hydrogen production by biophotolysis of water, 430
        3.1.1. Photolysis by cyanobacteria (Blue green algae), 430
            3.1.1.1. Nitrogenase dependent hydrogen production, 434
            3.1.1.2.  Hydrogenase-dependent hydrogen production, 437
            3.1.1.3.  Factors affecting  hydrogen production by cyanobacteria, 440
            3.1.1.4.   Bioreactors for cyanobacterial hydrogen production, 443
            3.1.1.5. Future prospects for cyanobacterial hydrogen production, 446

1.    Introduction    496

2.    Strain Development Technologies    496

    2.1.    Screening of natural variants of microorganisms, 496
    2.2.    Genetic manipulation of microorganisms, 498
        2.2.1.    Random mutagenesis and selection, 498
        2.2.2.    Conjugation, 504
        2.2.3.    Transduction, 504
        2.2.4.    Transposition, 506
        2.2.5.      Hybridization, 507
        2.2.6.    Rare Mating, 509
        2.2.7.    Cytoduction, 510
        2.2.8.    Protoplast fusion, 511
        2.2.9.    Transformation, 511
        2.2.10.    Gene cloning and transformation (Recombinant DNA technology), 513

Rainfall, runoff, evaporation, and other hydrological variables exhibit considerable natural uncertainty and therefore cannot be treated as entirely deterministic phenomena. Statistical and probability methods make it possible to organize observations, describe their variability, identify relationships, estimate extreme events, and predict values associated with selected probabilities. Hydrological data may be analysed daily, weekly, monthly, seasonally, or annually and expressed through averages, maxima, minima, dispersion, skewness, and frequency. This chapter introduces statistical terminology, correlation, regression, probability distributions, plotting positions, goodness-of-fit tests, model-evaluation tools, reliability, standard error, and risk analysis. These techniques are essential for flood-frequency analysis, planning, and hydraulic design.

Weed control methods may be classified into two groups as follows:

    1.    Preventive method
    2.    Curative or remedial measures. Curative measures are sub-divided into eradication and control.

(a) Preventive Methods

Prevention is the measures taken to prevent the introduction or spread  of the weeds to new areas and to check the infestation prior to the germination of weed seeds. To achieve this, a wise step to be followed the principle- “Prevention is better than cure”.

History of Genetics

Lamarck (1744-1829): Proposed theory of “Inheritance of acquired characters”.

Charles Robert Darwin (1809-1882): published his classic book “Origin of Species” in 1859 and proposed theory of evolution and survival of the fittest.

Johann Greger Mendel : Gave laws of heredity in 1866 and is considered as Father of Genetics.

W. Flemming: The term mitosis was first used by Fleming in 1882.

W. Waldeyer: Coined the term “Chromosome” in 1888.

August Weisman: Gave the “Theory of Germplasm” in 1889.

This chapter focuses on presenting empirical findings from data analysis to provide sufficient interpretation so to draw reliable conclusions. To enhance and complement the textual contents of the study, tables and models are frequently utilized. Additionally, the discussion serves to contextualize the study’s findings and establish connections with the research work.

The pattern of distribution of the variable, Education (x2 ) depicts that the maximum education of the respondents is 5 and the minimum is 2. The mean value of education of the respondents is 4.09 with standard deviation of 0.82. The Coefficient of Variation is 19.96 per cent which indicates the distribution of variable is highly consistent.

the maximum functional education of the respondents is 15 and the minimum is 2. The mean value of functional education of the respondents is 8.27 with standard deviation of 3.39. The distribution of the variable is fairly consistent with a CV value of 41.06 per cent.

The pattern of distribution of the variable, Size of family (x4 ) depicts that the maximum size of family of the respondents is 9 and the minimum is 3. The mean value of size of family of the respondents is 5.62 with standard deviation of 1.48. The Coefficient of Variation is 26.34 per cent which indicates the distribution of variable is fairly consistent.

The pattern of distribution of the variable, Cultivated Land Holding per capita (x5 ) depicts that the maximum cultivated land holding of the respondents is 1.92 and the minimum is 0.25. The mean value of cultivated land holding of the respondents is 0.77 with standard deviation of 0.30. The distribution of the variable is fairly consistent with a CV value of 38.83 per cent.

the maximum no. of land fragment of the respondents is 2 and the minimum is 1. The mean value of no. of land fragment of the respondents is 1.24 with standard deviation of 0.43. The Coefficient of Variation is 34.73 per cent which indicates the distribution of variable is fairly consistent.

The pattern of distribution of the variable, Avg. size of land fragment (x7 ) depicts that the maximum avg. size of land fragment of the respondents is 1.25 and the minimum is 0.25. The mean value of avg. size of land fragment of the respondents is 0.64 with standard deviation of 0.19. The distribution of the variable is fairly consistent with a CV value of 30.18 per cent.

Biotechnology in the food processing sector targets the selection and improvement of microorganisms, including bacteria, yeasts and moulds with the objectives of improving process control, yields and efficiency as well as the quality, safety and consistency of bioprocessed products. They perform a series of processes such as fermentation, hydrolysis, etc. and even spoilage of food, depending upon the species of organisms, nature of raw material (food), environmental factors (temperature, pH, salt concentration, etc.), duration, etc.

Fermentation
Is the process of bioconversion of organic substances by microorganisms and/or enzymes (complex proteins) of microbial, plant or animal origin. It is one of the oldest forms of food preservation which is applied globally.

Climate change refers to long-term shifts in temperatures and weather patterns. These shifts may be natural, such as through variations in the solar cycle. But since the 1800s, human activities have been the main driver of climate change, primarily due to burning fossil fuels like coal, oil and gas. (https://www.un.org/ en/climatechange/what-is-climate-change) While it is possible to achieve enhanced food production to meet the demands of growing populations, the prevailing negative environmental trends, if continued, might cause crises in many parts of the world (Molden, 2007). The effects of climate change on agriculture can take place through changes in average temperatures, rainfall, and climate extremes (e.g., heat waves); changes in pests and diseases; changes in atmospheric carbon dioxide and ground-level ozone concentrations; changes in the nutritional quality of some foods; and changes in sea level. (Anonymous, 2014A)

Introduction

Vesicular arbuscular mycorrhizae are fungi that exhibit symbiosis with roots of higher plants. The term vesicular arbuscular is derived from characteristic structure i.e. ‘branched hyphae or arbuscles’ that are formed with in the root cortical cells and vesicles or ‘swollen lipid storing organs’ that occur with in or between them.

8.1. Introduction
Micronutrients are vitamins, minerals, and nutraceuticals that do not provide energy and do not raise any sensation of hunger known as “hidden hunger” or “insensible hunger”. Hidden hunger that causes micronutrient deficiency affects 2 billion people globally. Due to the deficiency of micronutrients, different diseases are noted among public health professionals that reflect poor community nutrition. To overcome these deficiency-related diseases, one of the important approaches is food fortification. Food fortification is a public health policy to reduce the number of individuals, who suffer from micronutrient deficiencies within a population. Common examples include iodine-tagged common salt, vitamin A-containing oil, and iron-enriched rice all of which are examples of food fortification. In the agricultural field, food fortification (FF) and/or food enrichment (FE) is the most efficient strategy to overcome various micronutrient deficiencies by the addition of essential micronutrients (vitamins and minerals) to enhance the nutritional value of cultivated crops. According to World Health Organization (WHO) and Food and Agricultural Organization (FAO) of the United Nations (UN), “Food fortification” is defined as “the practice of deliberately increasing the content of an essential micronutrient, i.e., vitamins and minerals (including trace elements) in a food irrespective of whether the nutrients were originally in the food before processing or not, so as to improve the nutritional quality of the food supply and to provide a public health benefit with minimum risk to health” (Pant and Chinwan, 2014). “Fortificant” refers to the incorporation of substances in the food to provide micronutrients. “Micronutrients” refers to the important dietary components, including vitamins and minerals, that are required in very small amounts but are engaged in very critical roles in various body functions and disease prevention.

2.1 Introduction

Microbes are the oldest form of the life on earth. These organisms date more than 3 billion years to a time when they were discovered with oceans. They are so tiny in size that million microbes can fit into the eye of a needle. Without microbes, we can’t live. Thus, understanding microbes is vital to understanding past and future. Microbes play many roles in the earth’s environment recycling dead plant and animal matter through the soil, removing CO2 from the atmosphere by photosynthesis in the oceans and nitrogen from the atmosphere to form nitrogenous fertilizers plants. Microbes play an important role in nutrient recycling, management, organic matter, decomposition and increasing the crop productivity and quality and protection against diseases (Panwar et al., 2009). Over the past century, many of the basic scientific principles of plant nutrition and soil fertility have been explained. In developed countries, inorganic chemical fertilizers have been widely accepted as a major source of improving and maintaining soil fertility.

Growth and development of plants are dependent upon the temperature surrounding the plant and each species has a specific temperature range represented by a minimum, maximum, and optimum. These values were summarized by Hatfield et al. (2008, 2011) for a number of different species typical of grain and fruit production. The expected changes in temperature over the next 30 to 50 years are predicted to be in the range of 2 to 3°C Intergovernmental Panel Climate Change (IPCC) (2007). Heat waves or extreme temperature events are projected to become more intense, more frequent, and last longer than what is being currently been observed in recent years (Meehl et al., 2007). Extreme temperature events may have short-term durations of a few days with temperature increases of over 5°C above the normal temperatures. A recent review by Barlow et al. (2015) on the effect of temperature extremes, frost and heat, in wheat (Triticum aestivum L.) revealed that frost caused sterility and abortion of formed grains while excessive heat caused reduction in grain number and reduced duration of the grain- filling period. Analysis by Meehl et al. (2007) revealed that daily minimum temperatures will increase more rapidly than daily maximum temperatures leading to the increase in the daily mean temperatures and a greater likelihood of extreme events and these changes could have detrimental effects on grain yield. If these changes in temperature are expected to occur over the next 30 years then understanding the potential impacts on plant growth and development will help develop adaptation strategies to offset these impacts.

Poultry in general and duck in particular are not free from diseases though they are far more cold-hardy and healthier than the chickens. Infectious agents are not the only cause of diseases in poultry. However, it can be affected by a wide range of diseases that is caused by the non-infectious agents and it can range from cases of cannibalism to various nutritional related diseases or disorders. Unlike the infectious diseases which tends to affect a whole litter, non-infectious diseases may however be sometime confined to a single bird.

Non infectious diseases can be basically categorized into subgroups like –

INTRODUCTION

Many economically important diseases are caused by Phytophthora spp. There are as many as 60 described Phytophthora species, most of which are primary invaders of plant tissues with limited saprophytic ability. Some important diseases with respect to symptoms, etiology and management have been described in this chapter as given below.

Maps make it easier to interpret and communicate the results of any GIS analysis. R has a large number of packages for making thematic maps. Static mapping is straightforward with plot()methods provided by core spatial packages sf and raster. The use of plot() function have been discussed in the previous chapters. Another package for mapping isspwithspplot() having enough options for producing good quality thematic maps.It is also possible to create advanced maps using ggplot2. This chapter discusses, separately, preparing thematic maps from vectors and rasters with the above mentioned packages. A dedicated map-making package tmaphas been given special focus in this chapter.

Introduction

Coastal zone represents a broad transitional zone between land and sea which is strongly influenced by both the shoreline ecosystems and the near shore sub-littoral land-based ecosystems. The coastal areas of the country occupy about 10.8 million ha of land and are spread over the 7517 km long coastline along the Bay of Bengal in the East coast, Arabian sea in the West coast and two islands territories. The coastline of the country in its journey covers 9 states (West Bengal Odisha, Andhra Pradesh, Tamil Nadu, Kerala, Karnataka, Maharashtra, Gujarat Goa) 2 union territories (Puducherry and Daman and Diu) and 2 groups of islands (Andaman & Nicobar group in the Bay of Bengal and Lakshadeep and Minicoy group in the Arabian sea) in the country. The region has varied geomorphic and topographical features of mountains, valleys, coastal plains, riverine systems climatic conditions, soil conditions, water budgets and a wide range of cultivated crops. It also supports diverse vegetation ranging from rich tropical rain forests to coastal mangroves and highly rich in biodiversity. The entire coastal ecosystem is highly fragile and vulnerable to climate change and highly endangered by the sea level rise following global warming. Agriculture is the major occupation of the people in the rural areas of coastal regions of the country but it is highly complex risk-prone and entirely dependent on the vagaries of nature.

Since, the problems of coastal agriculture are widely variable there is no universally applicable remedial measure for self-reliant coastal agriculture and it is likely that the remedial measures or the technological interventions will be variable according to the problems associated with the concerned area. It is highly necessary that technological improvement aimed at enhancement of the productivity of coastal agriculture and the livelihood of the farming communities must be simple in use to suit the skill and resource poor farmers and, to be operative at small scale farming as the majority of the farmers are in marginal and small categories with very poor landholdings.

This chapter focuses on presenting empirical findings from data analysis to provide sufficient interpretation so to draw reliable conclusions. To enhance and complement the textual contents of the study, tables and models are frequently utilized. Additionally, the discussion serves to contextualize the study’s findings and establish connections with the research work.

Result: The Table 13 depicts the distributive characteristics of the variables for the 90 respondents under the study.

Revelation: The pattern of distribution of the variable, Age (x1 ) depicts that the maximum age of the respondents is 70 and the minimum is 26. The mean value of age of the respondents is 42.98 with standard deviation of 10.77. The distribution of the variable is strongly consistent with a CV value of 25.06 per cent.

The pattern of distribution of the variable, Education (x2 ) depicts that the maximum education of the respondents is 5 and the minimum is 2. The mean value of education of the respondents is 4.09 with standard deviation of 0.82. The Coefficient of Variation is 19.96 per cent which indicates the distribution of variable is highly consistent.

The floriculture industry, at present, comprises of the cultivation and trade of cut and loose flowers, potted plants, foliage and bedding plants and dried flowers under open field as well as under protected environment conditions. Globally, more than 145 countries are involved in cultivation of floriculture crops. Though the art of growing flowers is not new to India, large scale commercial cultivation especially protected cultivation in poly houses is relatively new in India. Enormous genetic diversity, varied agroclimatic conditions and versatile human resources offers India a unique scope for diversification in to new avenues which were not explored to a greater extent. India also has a strong dry flower industry which contributes a major share to the overall trade. Other segments like fillers, potted plants, seeds and planting material turf grass industry and value added products also contribute a share in the overall growth of floriculture sector.

Cut flower production is a growing business in most Asian countries as the result of higher per capita income of people. Technology for production is well known and has been utilized to the maximum in many countries. As a consequence, cut flowers are commercially produced in larger quantities in these countries resulting in surpluses during normal periods of blooming, end result of which is a lower price for cut flowers. On the other hand, such prices are much higher during periods of needs such as certain special occasions, or off-season.