eChapters

In dry combustion technique, the combustion of soil sample (about 250 mg and mm sieved) is carried out at high temperature (about 1000 ºC) through feeding in an inert boat in the electric furnace. The CO₂ produced from the oxidation of carbon present in the soil sample at high temperature is carried towards non dispersive infrared detector (NDIR) by a carrier gas where it is quantified and total carbon content is determined.

Phosphorus is nearly exclusive found as phosphates in waters and wastewater and it categorised in to: a) orthophosphate, (b) organically bound phosphate and (c) condensed phosphates. Theses all three forms of phosphorus occur in solution, in the body of aquatic organisms through food chain. All the forms of phosphorous, whether dissolved or particulate are converted to inorganic forms (phosphate) after digestion of sample. Various methods use for the digestion of the sample including use of perchloric acid, H2SO4- K2SO4, H2SO4- HNO3 etc. The H2SO4- HNO3 digestion technique is discussed here.
Reagents
1. Phenolphthalein indicator
2. Conc. sulphuric acid (H2SO4)
3. Conc. nitric acid (HNO3)
4. Sodium hydroxide (NaOH), 1 N: Dissolve take 40 g of NaOH in 1000 ml of distilled water
Procedure
Digestion
1. Take 50 ml of sample in a Kjeldahl flask
2. Add 1 ml H2SO4 and 5 ml HNO3
3. Once the HNO completely removed, digest the sample on a hot plate until the volume approaches 5 ml. Then, keep heating the solution until it loses colour (you may also heat it in a beaker covered with a watch glass to prevent excessive evaporation).

The total plate count (TPC) is also called the Bacterial plate count (BPC), aerobic plate count, standard plate count (SPC), total viable count (TVC) or mesophilic count represents the number of colony forming units (CFU) per g (or per mL) of growing microorganisms such as bacteria, yeast and mold on a nonspecific solid bacteriological growth medium under the specified conditions. Temperature, incubating time, medium type, and any other conditions used in the enumeration varies upon reference standards and laboratory objectives. Laboratories participating in the program choose their own routine conditions.
Principle
Usually direct count of too many bacteria in a sample is difficult but the bacterial colonies may be used as a measure of the bacterial cells in the known serially dilution and plated out on an agar surface in such a way that single isolated bacteria form visible isolated colonies. However, colony-forming unit might actually consist of a chain of bacteria rather than a single bacterium if the organism often develops various cell configurations, such chains. Furthermore, a portion of the bacteria might be grouped together. Thus, typically refer to the process of using the plate count technique as a means of estimating the number of colony forming units (CFUs) in that known solution. Then further this figure use to extrapolate the total amount of CFUs present in the original sample.

Principle
The estimation of all solids, including dissolved, volatile, and suspended solids, is called total solids (TS). The residue that remains after the unfiltered sample evaporates between 103 and 105°C can be used to estimate total solids. Total dissolved solids (TDS) and Total suspended solids (TSS) are its two constituent components. After heating to 550°C, each fraction is separated once more into fixed solids and volatile suspended solids (VSS). The percentage of ash that remains is called fixed solids, while VSS is the organic proportion that was lost as CO2.
Apparatus
1. Ceramic or platinum evaporating dishes 100 mL volume.
2. Dessicator contain CuSO4.5H2O. Desiccator, provided with a desiccant containing a colour indicator of moisture (CuSO4.5H2O).
3. Analytical balance
4. Hot air oven
Procedure
1. Take a clean evaporating beaker or dish of required volume and dry it at hot air oven at 103 to 105oC for 1h, then cool and store it in a desiccator until needed. Immediately weigh before use. Note » the initial weight (Wi) in mg.
2. Take 250-300 ml or required volume of unfiltered well mixed sample in it (beaker or dish).
3. Place it in hot air oven at 103 to 105 oC for 2 h.
4. Cool it in a desiccator and take the final weight (Wf) in mg.
5. Replication the above process until a constant weight is achieved

Environmental contaminants are defined as substances introduced into the environment, either naturally or anthropogenically, that pose potentialharm to living organisms and ecosystems (Masindi and Muedi, 2018).These contaminants include a diverse range of pollutants, such as chemicalagents, biological contaminants and physical pollutants (Ahmed et al.,2021). Understanding these contaminants and their toxicity is of paramountimportance, given their profound implications on human health, biodiversityand the overall functioning of ecosystems (Samuel et al., 2023).Environmental contaminations are pervasive in nature and originated fromdiverse sources. Industrial activities are major contributors, releasing heavymetals, organic solvents, and particulate matter into air, water and soil(Williams, 2019). Similarly, agricultural practices contribute to contaminationthrough excessive use of fertilizers and pesticides, which often runoff intoaquatic systems, causing eutrophication and harming aquatic life (Zahoor and
Mushtaq, 2023). Urbanization and improper waste management have alsointensified the problem with plastics and emerging contaminants finding theirway into ecosystems (Singh et al., 2022). Even natural events like volcaniceruptions and forest fires contribute to environmental contamination, thoughtheir impacts are often localized and episodic compared to the persistent andwidespread pollution caused by human activities (Ernst, 2012).The study of environmental contaminants and their toxic effects is of vitalimportance for several reasons in today’s context of escalating global pollution(Hussain and Reza, 2023). First, it provides insights into the health risks posedto humans and wildlife (Pereira et al., 2015). Many contaminants, such as lead,mercury and polychlorinated biphenyls (PCBs), are known to have chronic andacute toxic effects on biological systems, affecting neurological, reproductivand immune functions (Priyadarshanee et al., 2022). These substances interactwith biological systems in complex ways, often leading to adverse outcomessuch as bioaccumulation, oxidative stress, endocrine disruption and ecologicalimbalances (Satkar et al., 2024). Heavy metals like lead and mercury are
known to accumulate in organisms and disrupt critical biological functions,while synthetic chemicals like bisphenol A (BPA) can interfere with hormonalsystems, resulting in reproductive and developmental issues (Pan et al., 2024).Such impacts underscore the need to understand how these substances interactwith living organisms, identify their exposure thresholds and mechanisms oftoxicity to formulate strategies for risk assessment and mitigation (Kumar andSingh, 2023).

Practically every aspect of the chemistry of heavy metals in soil is related to the formation of complexes with organic matter. While monovalent cations (Na+, K+, etc.) are held mainly by simple cation exchange through the formation of salts with COOH groups (RCOONa, RCOOK), multivalent cations (Cu²+, Zn²+, Mn²+, etc.) form coordinate linkages with organic molecules.

A schematic diagram showing organic matter reactions involving metal ions in soils is given in Fig. 9.1. The metals present in the solution phase as charged species and as soluble metal-organic complexes (MChe), are shown to be influenced by the activities of higher plants and microbes, both of which serve as sources of water-soluble ligands for complex formation; some metals are held in insoluble organic complexes and are non-leachable and relatively unavailable to plants.

Training helps people to become qualified and proficient in doing some jobs (Dahama, 1979). Usually an organization facilitates the employees’ learning through training so that their modified behaviour contributes to the attainment of the organization’s goals and objectives.
 
Training needs refer to the gaps between desired and expected levels of performance. Needs may be numerous. Besides they also need group, affection, recognition and fulfilment of their talents.

Training need may be defined as difference between existing and desired performance of person(s). In other words it is a gap between job requirement and job performance. That means it is gap between the existing and desired level of competency. Thus, the attitude, knowledge and skills of a person are lower than desired if the gap is significant there is a need for training.

Introduction

Today we are part of a highly complex and dynamic society. The complexity and dynamism are primarily due to the chain of changes induced by the scientific and industrial developments. The impetus provided by the information explosion coupled with scientific and technological developments to human life has triggered several unimaginable developments in the number, structure and functions of formal organizations. Realization of the supremacy of human mind over the tangible and exhaustible organizational resources like money, material and machine has led to the concept of ‘human capital’, which is now being considered as the most critical organizational resource to ensure organizational effectiveness and efficiency. Analogously huge investments are going in towards servicing and developing this critical resource of human capital in organizations. In this context, the concepts of human resource development (HRD) and training assume greater significance. In fact, training has been considered as a potential tool for HRD since ages. However, as a distinct profession, and also as a critical management tool, training is still in its early years. At the same time, there have been significant changes in the way training is conceived, understood and practiced.

As the world grapples with the complex challenges of feeding a growing global population, it has become increasingly clear that the traditional approaches to agriculture and food production are no longer sufficient. The pressing issues of climate crisis, food security, water scarcity, soil degradation, and biodiversity loss have highlighted the need for a fundamental transformation of the way we produce, process, and distribute food. It is in this context that the concept of transcending technologies and food for all has emerged as a critical imperative for achieving sustainable food systems. The notion of transcending technologies refers to the development and deployment of innovative solutions that go beyond the limitations of current agricultural practices and technologies. This involves harnessing the potential of cutting-edge technologies such as artificial intelligence, blockchain, the Internet of Things (IoT), and biotechnology to create more efficient, sustainable, and resilient food systems. By leveraging these technologies, it is possible to optimize crop yields, reduce waste, improve resource allocation, and enhance the overall sustainability of agricultural practices. However, the concept of transcending technologies is not solely focused on the development of new technologies. Rather, it emphasizes the need for a holistic and integrated approach to food production, processing, and distribution. This involves recognizing the intricate relationships between food systems, ecosystems, and human societies, and working to create a more equitable, just, and sustainable food culture. The goal of achieving food for all is closely tied to the concept of transcending technologies. Despite the fact that the world produces enough food to feed every person, millions of people around the globe continue to suffer from hunger and malnutrition. This is a stark reminder that the challenge of feeding the world’s population is not simply a matter of producing more food, but also of ensuring that everyone has access to nutritious and sustainable food. In order to achieve this goal, it is essential to address the complex web of factors that contribute to food insecurity, including poverty, inequality, conflict, and environmental degradation. This requires a multifaceted approach that involves governments, international organizations, civil society, and the private sector working together to create a more just and equitable food system. In this chapter, we will explore the concept of transcending technologies and food for all in greater depth, examining the latest innovations and trends in

N-Transformation and availability in soils     
    a.    N-Cycle 
    b.    N transformation in  soils 
Phosphorus transformation & availability in soils: 
    a.    P-Cycle 
    b.    P transformation in soils 
K-transformations& availability in soils: 
    a.    K-Cycle 
    b.    K-Transformations

Raster transformations involve mathematical manipulation of raster layers to generate new raster images. These transformed raster images either contain the information of interest or highlight the features which are not discernible in the original image. Transformations are also performed to preserve the essential information in reduced number of dimensions or layers. In this chapter, we are going to discuss few most commonly used transformation tools listed below:

Introduction 
Renewable and more eco-friendly sources of fuel must be a major concern of our nation for the betterment of our environment because a growing population requires more energy. Fossil fuels have played a significant role in driving the advancement of society, economy, and development. Fossil fuels are the most used sources for the fulfilment of energy requirements. The predominant source of energy on a global scale is fossil fuels, which account for 88% of total energy production (Li et al., 2019). These sources are finite and depleting sources and have a significant negative impact on the environment through the emission of greenhouse gases, sulfur dioxide, nitrogen oxide, and particulate matter (Ritchie et al., 2023). These gases cause global warming by trapping heat, which causes climate change and its side effects, such as increased temperatures globally, more frequent and intense heat waves, and altered weather patterns (Solarin, 2020). In 2017, there was a 1.6% increase in CO2 emissions related to the combustion of fossil fuels, and this trend is anticipated to continue (Khoo et al., 2020). Fossil fuels, on the other hand, are non-renewable sources of energy that will deplete rapidly within fifty years (Chew et al., 2018). In an age marked by increasing environmental concerns and a growing urgency to combat climate change, the pursuit of sustainable and eco-friendly energy sources has never been more critical. Among the renewable energy options, biofuels have emerged as a prominent contender, holding the promise of reduced carbon emissions and a path toward a greener, more sustainable future (Takeuchi et al., 2002). Biofuels, derived from organic materials like trees algae, and waste, have attracted a lot of attention because they have the potential to lessen our reliance on fossil fuels and reduce the negative effects of climate change. Figure 5.1 shows the classification of biological feedstocks utilized in biofuels comprising four distinct generations: first, second, third, and fourth (Alalwan et al., 2019). Edible biomasses like sugar beet, corn, wheat, rice corn, etc come under the category of first generation. Since these feedstocks are in competition with food harvests for a specific quantity of land, fertilisers, and water, the viability of first-generation biofuels is subject to discussion (Paschalidou et al., 2016). Subsequently, the resources and energy utilised in the cultivation of feedstocks are inefficiently utilised, resulting in costly production. Furthermore, there exists a discourse surrounding the potential contribution of biofuel to the mitigation of greenhouse gas emissions (GHGs). This is because certain biofuel varieties may generate negative net energy gains, thereby increasing greenhouse gas emissions throughout the production process. However, the most contentious topic continues to be the "food versus fuel" dilemma.

The Secchi disc is named after its Italian inventor Pietro Angelo Secchi. Transparency is a water-quality characteristic of lakes and reservoirs and can be measured quickly and easily using simple equipment. This characteristic varies with the combined effects of colour and turbidity. Some variation may also occur with light intensity and with the apparatus used.
Procedure
1. Morning (early) or afternoon (late) is suitable time to check transparency
2. Lower the Secchi disc and observed the depth at which it just disappears from view (L1)
3. Then further lift up slowly till it just reappears (L2).

Wastewater is defined as water that has been altered by certain substances, resulting in changes in its physical, chemical, or biological properties. These changes render it unfit for certain uses, such as the purpose of drinking. Since almost all of man’s daily activities are dependent on water, therefore ‘waste’ is discharged into the surroundings as a result of these actions. There are a number of substances that can be harmful to the environment and make people sick, including chemicals, detergents, household cleaners, dirt, microorganisms (germs), and body wastes. The water supply generates a great deal of wastewater, so it is essential that it is treated in order to reduce the amount of waste that it generates. Essentially, wastewater treatment ensures that a healthy environment is created and public health is protected by removing the majority of pollutants found in wastewater through the treatment process. Consequently, wastewater management plays an important role in protecting the planet, and public and economic health, as well as social, economic, and political stability.

Agroforestry systems are not simply systems where trees and crops or animals give useful products to the farmers, rather systems where trees and crops and/or animals interact. Interaction literally means influence or mutual or reciprocal action. So component interaction refers to the influence of one component of a system on the performance of other component as well as the system as a whole.

In agroforestry systems, trees are grown in close proximity to crops and pasture. Their performance would largely depend on their ability to share various growth resources in a given environmental situation. Various interactions take place between the woody trees and herbaceous plants (crops or pastures) which is referred to as tree-crop interface. These interactions take place through the media of soil and microclimate and may exert favourable or adverse effects on the crop. Study of interaction helps to know how the components of agroforestry utilize and share the resources of the environment, and how the growth and development of any of the components will influence the others. Interaction occurs both above and below the ground and includes a complex set of interactions relating to radiation exchange, the water balance, nutrient budget and cycling, shelter and other microclimatic modifications.

The success of an agroforestry system relies heavily on exploitation of the component interactions. In an ideal relationship, production of trees as well as crops or grasses in combination could be comparable to their sole performance. Agroforestry could be even more advantageous if the production of associated components is increased due to influence of trees. This is possible because trees are capable of improving productivity of soil in many ways. A large number of trees are known to fix nitrogen symbiotically. Nevertheless, instances of crop inhibition in association of trees are not uncommon. Such inhibitions are primarily caused by shade effect as well as competition for below-ground resources such as nutrients and water. In some cases inhibitory effect may also result from allelochemicals secreted by some of the tree species.

This chapter introduces tree improvement approaches aimed at developing forest species with enhanced resistance to biotic and abiotic stresses. It examines the challenges posed by climate change and discusses conventional and modern tree breeding techniques. The chapter further explores climate-smart tree improvement, resistance to pests and diseases, and tolerance to environmental stresses such as drought, heat, salinity, and other changing climatic conditions. By integrating breeding strategies with modern technologies and climate-resilience objectives, the chapter emphasizes the development of improved forest trees capable of maintaining growth, productivity, survival, and ecosystem functions under changing environmental conditions.

Introduction 
Tree-based biofuels, which are made from non-edible oilseeds of perennial trees, have emerged as a renewable energy source with considerable environmental and economic benefits. Unlike annual biofuel crops, tree-based biofuels have the potential for long-term yields, soil conservation benefits, and the ability to survive on marginal terrain (Dwivedi et al.,2011). Various tree species have been identified globally for their biofuel potential, with an emphasis on sustainability and low competition with food crops (Pandey et al., 2012). In India, there is a diverse range of over 100 tree species that produce seed oil suitable for biodiesel. These oil tree species can be cultivated on non-agricultural lands, ensuring that they do not compete with food and fodder production. Globally, tree-based biofuels are crucial for energy security. Palm, jatropha, pongamia, and mahua are among the feedstocks investigated by the US, Brazil, and Europe for biodiesel production. Tree-borne oilseeds (TBOs) are critical for biodiesel generation in India, which relies heavily on fossil fuel imports. India has implemented both the National Biofuel Policy (2009) and the National Agroforestry Policy (2014). The former policy aims to replace fossil fuels with biofuels, targeting a 5% replacement by 2012, 10% by 2017, and exceeding 10% beyond 2017. The latter policy focuses on integrated land use options for livelihood, environment, and energy security. Notably, important tree-borne oilseeds (TBOs) such as Jatropha, Karanj, Mahua, and Simarouba have been efficiently incorporated into agroforestry systems, yielding beneficial results and providing a significant source of non-edible oilseeds from trees. The need for alternatives to fossil fuels is particularly urgent for countries like India, which have a vibrant economy and high consumption of fossil fuels, heavily relying on imports. Biofuels, as renewable liquid fuels derived from biological sources, have proven to be promising substitutes for oil in the energy sector (Mahapatra et al.,2021). In India, the focus on biofuels is primarily on non-edible oils obtained from tree species’ seeds since oils from food crops like corn, sweet sorghum, and soybean cannot be diverted for biodiesel production (Raju et al., 2012). Tree-borne oilseeds (TBOs) are cultivated across the country in various agro-climatic conditions, including forest and non-forest areas, as well as wastelands, deserts, and hilly regions. India has a vast potential for oilseeds derived from trees, such as Mahua (Madhuca indica), Neem (Azadirachta indica),

Abstract

Climate variability/change is one of the very significant concerns discussed in the recent two decades. Its impact on air temperature and precipitation has received massive attention worldwide as they affect both the spatial and temporal patterns of water availability. Hence, it is becoming clearer that analysis of trends in air temperature and rainfall is significant in studying the impacts of climate variability/change for water resources planning and management. Therefore, the aim of the study was to detect theannual, seasonal and monthly trends in air temperature and rainfall in the Râmgangâ river basin. Daily air temperature (Bareilly and Moradabad) and rainfall data (Shahajahanpur, Bareilly, Bareilly BPO and Moradabad)of 40 years (1971 to 2010) were used for the study. Non-parametric Mann-Kendall test and theTheil-Sen’s Slope Estimator was used for determination of estimating the trend and magnitude of the trend. Findings revealed that the basin is experiencing a warming trend because of the rise in themaximum and minimum air temperature. In case of rainfall, Moradabad showna significant high positive trend during the monsoon season. This would alter the river run-off in long run if the existing trend continues to persist like this.

Keywords: Climate change/Variability, Mann-Kendall test, Theil-Sen’s Slope estimator, Water resource planning

Introduction

The term geographic information systems (GIS) has come to mean, variously, an industry, a product, a technology, and a science. As such, the term invokes different perceptions dependent on whether the viewpoint is that of the software developer, the system marketer, the data provider, the application specialist, or the academic researcher, among others. A newcomer to the field is likely to be bewildered by the multiple uses of the same term, or, seen alternatively, different definitions of the same term. For instance some find it distasteful to use of the conventional acronym GIS and prefer Geospatial Technology. With all the variety of perceptions predicting the future of GIS is a cumbersome business. The most certain inference we can gain from the available trends is, it is growing and is poised for further growth. Geotechnology along with Nanotechnology and Biotechnology is considered as of the three most promising growth industries for the near future.

Tropical root and tuber crops are the third important group of food crops after cereals and pulses. Tuber crops hold a premier position among food crops in the tropical and subtropical regions of the world. These crops are rich in starch and calories and have great potential in meeting the food and energy needs.  More than 840 million people do not have enough food to meet their basic daily energy needs. Far more - an estimated 3 billion - suffer the insidious effects of micronutrient deficiencies leading to hidden hunger. Apart from its popular use as food, tubers also find an important space in cattle feed and agro industries sector.Tropical tuber crops possess high photosynthetic ability coupled with the capacity to yield under marginal lands, adverse biotic and abiotic stress etc (Ravindran et al., 2008).