eChapters

Imagine the lifeblood of a nation’s energy grid thinning to a trickle. This is the stark reality when prolonged droughts grip regions heavily reliant on the oncemighty force of hydroelectric power. While the allure of clean, renewable energy from flowing water has positioned hydropower as a cornerstone of electricity generation globally, its dependence on a consistent and abundant water supply renders it exceptionally vulnerable to the increasingly frequent and intense droughts sweeping the planet. This chapter embarks on a critical exploration of the intricate and often strained relationship between these two forces: the essential need for water in sustaining hydroelectric power and the devastating impact of its absence during drought conditions Moving beyond a simple definition, we will delve into the multifaceted ways in which droughts cripple hydroelectric facilities, from dwindling reservoir levels that starve turbines to the cascading effects on energy security, economic stability, and ecological balance. We will traverse the globe, examining compelling case studies from drought-stricken regions, revealing the tangible consequences for communities and industries. Furthermore, this chapter will unpack the complex interplay of factors that exacerbate

Minimizing waste in agricultural and food production is increasingly recognized as a critical pathway toward environmental sustainability, economic efficiency, and food security. Strategies such as waste prevention, material reuse, and resource recycling form the backbone of sustainable waste management in the agri-food chain—from production and processing to distribution and consumption. Globally, agriculture is under pressure to reduce its environmental footprint, with waste generation being a primary concern. Implementing integrated waste management practices across the agri-food sector enhances resource efficiency, improves soil health, creates value-added opportunities, and supports circular economy objectives. In the Indian context, where significant post-harvest losses and agro-industrial residues persist, such strategies are essential for advancing rural development, ecological sustainability, and economic resilience.

Minimization Strategies
Waste reduction starts at the production level with optimized crop planning and judicious input use. Precision agriculture tools—such as GIS mapping, soil health diagnostics, and sensor-based irrigation—enable efficient resource management and reduce chemical overuse. Practices like crop rotation, intercropping, and integrated pest management (IPM) further enhance productivity while minimizing environmental harm. Post-harvest losses, which can exceed 30% in India's fruit and vegetable sectors, are addressed through improved cold chain infrastructure, timely logistics, advanced packaging, and localized value addition. Digital interventions—such as price forecasting apps and e-market platforms—empower farmers to make informed decisions and reduce overproduction and spoilage.

Mental health is the condition of the mind and mental processes, which function well within the societal laws and prevailing circumstances of a person. Just like physical health means being away from any physical ailments, similarly, mental health is the absence of any mental illnesses or mental disorders. Mental health is a life adjustment. If a person is well-adjusted in his personal, social, and professional life, it means that he has good mental health. Mental health refers to cognitive, behavioral, and emotional well-being. It is all about how people think, feel, and behave.

Mental health is an integral and essential component of health. The WHO constitution states: “Health is a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity.” Mental health is a state of wellness in which an individual realizes his or her abilities, can cope with the normal stresses of life, can work productively, and can contribute to his or her community. Mental health is fundamental to our collective and individual ability as humans to think, emote, interact with each other, earn a living, and enjoy life. On this basis, the promotion and maintenance of mental health can be regarded as a vital concern of individuals, communities, and societies throughout the world.

Here in this chapter, we will discuss the concept and importance of mental health in our ordinary lives.

Suicide among young people is a very serious problem in our society. Suicide is the second leading cause of death among children, adolescents, and young adults aged 15 to 29. Most children and adolescents who attempt suicide have a significant mental health disorder, usually depression.

Suicide is a problem throughout the lifespan. Suicidal behavior refers to talking about or taking actions related to ending one’s own life. Suicidal thoughts and behaviors should be considered a psychiatric problem. It is like injuring oneself and harming oneself. It is ending the life of the self.

Suicide is a psycho-social problem. It is related to the emotional life of a man. It has social ramifications, as it is a criminal offence, which is a kind of crime. Suicide is an act of intentionally causing one’s own death. It is considered self-murder. It is not concerned with inter-personal relations, but it deals with intra-personal relations. Because it is a self-injurious behavior with the desire to end one’s own life, it is a kind of mental disorder

Predictive analytics estimates future health risks and outcomes, while prescriptive analytics recommends appropriate interventions and resource-allocation strategies. This chapter explains how statistical models, machine learning and healthcare data can support disease-risk assessment, prognosis and personalized treatment. Applications involving cardiovascular disease, diabetes, cancer, chronic-disease management and early-warning systems are examined. The integration of clinical, genomic, lifestyle and electronic health-record data is discussed alongside survival analysis, disease-progression modelling and treatment-response prediction. The chapter also addresses bias, fairness, transparency, privacy, regulation and interoperability. Future developments involving real-time analytics, IoT-enabled monitoring and precision medicine illustrate the transition toward proactive, preventive and data-driven healthcare.

Conventional fertilizers often exhibit low nutrient-use efficiency, resulting in nutrient losses, soil degradation, water contamination and unnecessary production costs. Nano-fertilizers offer controlled and targeted nutrient delivery through formulations engineered at the nanoscale. Their high surface-area-to-volume ratio can improve nutrient availability, plant uptake, growth, bulb quality and storage performance while reducing conventional fertilizer requirements. This chapter explains the nature, modes of action and potential benefits of nano-fertilizers in onion production. It also considers nano-biofertilizers, smart nutrient-delivery systems and nano-sensors. Particular attention is given to manufacturing cost, nanotoxicity, effects on soil microorganisms, farmer accessibility and the need for standardized safety and regulatory frameworks.

Efficient nutrient and water management is essential for achieving high onion productivity without degrading soil and water resources. Excessive fertilizer use, poor irrigation practices, groundwater depletion, nutrient imbalance and climate variability can reduce input efficiency and environmental sustainability. This chapter presents soil testing, integrated nutrient management, site-specific nutrient application, microbial interventions, residue management, nanotechnology and digital soil mapping. It also covers drip and sprinkler irrigation, scheduling, fertigation, mulching, rainwater harvesting and other water-conservation practices. Technologies such as SPAD meters, GreenSeeker, GPS, GIS, drones, remote sensing, sensors, artificial intelligence and IoT systems facilitate real-time monitoring, need-based application and climate-smart management of agricultural resources.

Precision agriculture depends on information collected through ground sensors, satellites, IoT systems and other connected devices. However, these data sources differ in spatial resolution, timing, quality and technical compatibility. This chapter introduces a computational framework for acquiring, harmonizing and analysing heterogeneous agricultural data. Preprocessing methods address noise, missing values and inconsistencies, while machine learning, deep learning and ensemble models identify useful environmental, spectral and temporal patterns. Applications include crop-health assessment, soil-moisture estimation, yield prediction and climate-resilience planning. Edge and cloud computing support scalability and real-time operation. Integrating multiple data sources can improve model accuracy, robustness and the practical usefulness of intelligent farming systems.

Soil health determines agricultural productivity, resource efficiency and long-term sustainability. Conventional laboratory and field-assessment methods provide valuable information but can be time-consuming and difficult to scale. This chapter presents a computational approach combining soil sensors, remote sensing and historical agronomic records. Indicators such as moisture, nutrients, pH and organic matter are processed using data-cleaning and feature-extraction techniques. Random Forest, Support Vector Machine and neural-network models estimate soil-quality parameters and identify degradation patterns. Explainable artificial intelligence improves the transparency and usefulness of predictions. Integration with edge computing enables real-time soil evaluation and supports targeted fertilization, efficient irrigation and sustainable soil-management decisions.

Hypothesis testing enables researchers to determine whether apparent climatic or agricultural differences are statistically meaningful. Parametric tests are appropriate when data satisfy assumptions such as normality and homogeneity, whereas non-parametric tests are useful for irregular, ranked or non-normally distributed observations. This chapter discusses commonly used procedures, assumptions, selection criteria and interpretation. Applications include comparing weather conditions, evaluating crop responses, detecting rainfall or temperature trends and assessing environmental change. Methods such as t-tests, Mann-Whitney, Wilcoxon, Kruskal-Wallis and Mann-Kendall tests are relevant to agroclimatic research. Appropriate test selection improves analytical reliability and supports evidence-based decisions concerning climate variability, crop performance and agricultural adaptation.

Quality control significantly affects manufacturing output, productivity and operational excellence. Techniques such as Six Sigma and DMAIC systematically identify the occurrence and causes of defects while developing solutions to reduce them. Total Quality Management further improves quality and lowers costs associated with defects, wastage and rework. Common tools employed in garment manufacturing include flow charts, check sheets, histograms, Pareto charts, scatter diagrams, control charts and cause-and-effect diagrams. Their systematic application supports continuous process improvement and better economic performance. Because the textile and apparel industry faces intense competition in domestic and global markets, manufacturers must shift from simple product inspection towards integrated, preventive and continually improving quality-management systems.

Climate change affects livestock through heat stress, water scarcity, unstable feed supplies, altered disease patterns and extreme weather. This chapter examines how artificial intelligence supports climate-smart and sustainable animal husbandry. Machine learning, predictive analytics and IoT-enabled monitoring can optimize feeding, detect disease, assess welfare and improve the use of water, energy and other resources. Intelligent technologies can also assist in reducing greenhouse-gas emissions and developing adaptive production strategies. The chapter evaluates the contribution of AI to productivity, climate resilience and environmental responsibility while addressing problems such as insufficient data, limited infrastructure, implementation costs and ethical concerns. Future integration with sustainable agricultural frameworks is also discussed.

Traditional livestock diagnosis is often reactive and may identify disease only after clinical symptoms become visible. This chapter introduces deep-learning methods for automated health monitoring, early disease detection and predictive analytics. Models analyse images, videos, body temperature, heart rate, activity patterns and historical health information. Convolutional neural networks extract visual features and classify diseases, while LSTM networks identify patterns in time-dependent physiological and behavioural data. Multimodal fusion improves the reliability of predictions by integrating different data sources. IoT-connected systems can generate real-time warnings and support timely intervention. The chapter compares deep learning with conventional approaches and evaluates accuracy, recall, false-negative rates and practical deployment.

Efficient irrigation water management is essential for achieving high crop productivity while conserving limited water resources and minimizing environmental hazards. This chapter presents the principles and practices required to manage irrigation according to crop demand and soil-water conditions. It begins with how plants obtain water from soil and explains irrigation requirements, crop water requirement terminology, water-use efficiency, field water balance and the effective root zone. Crop response to water at different growth stages is considered for important crops including rice, wheat, maize, sugarcane and mustard. Different irrigation methods are described, including surface, corrugation, sub-irrigation, sprinkler and drip irrigation. The chapter provides several approaches to irrigation scheduling based on water-holding capacity, degree of water depletion, soil-water potential, evaporation pans, leaf-water potential, canopy temperature, crop water stress index and leaf reflectance. Methods for measuring irrigation water and flowing water, including water-measuring devices and current meters, are also discussed. Scheduling based on IW/CPE ratio and depletion of available soil moisture provides practical approaches for improving water-use efficiency.

Artificial intelligence is providing new opportunities to accelerate plant breeding and develop improved crop varieties capable of meeting changing agricultural demands. This chapter examines AI applications in genomic selection, phenotypic prediction, stress tolerance modelling and crop improvement. Machine learning, deep learning and predictive analytics enable researchers to analyze large genomic and phenotypic datasets and identify desirable traits. High-throughput phenotyping, image analysis, sensors, remote sensing and IoT technologies further support accurate monitoring of plant performance. The chapter also discusses AI-enabled precision agriculture, decision-support systems and sustainable crop management. Challenges involving data quality, computational requirements and model interpretability are addressed, alongside emerging opportunities involving genomics, biotechnology, robotics and digital twins.

The adoption of artificial intelligence is transforming agricultural production, management and value chains while creating significant economic and social implications. This chapter examines the socio-economic dimensions of AI adoption in agriculture. It considers economic impacts, changes in labour and employment, rural livelihoods and the accessibility of digital technologies. Particular attention is given to the digital divide and barriers that may limit adoption among different agricultural communities. The chapter also addresses policy, governance and ethical considerations surrounding AI deployment. AI applications across agricultural value chains and regional and global perspectives are discussed. Finally, the chapter considers future socio-economic transformations, research gaps and the requirements for responsible and inclusive agricultural digitalization.

Green composites provide opportunities to reduce dependence on petroleum-derived materials while maintaining useful mechanical and functional performance. This chapter examines the fundamentals of green composites and the major challenges limiting their wider adoption. Important issues include poor interfacial bonding, nanoparticle dispersion, variability of natural fibres, mechanical and thermal limitations, processing difficulties, cost, scalability, and commercialization barriers. Nanoparticle reinforcement is explored as a means of improving tensile strength, stiffness, thermal stability, electrical conductivity, and barrier properties. The chapter also discusses green processing, advanced characterization, emerging applications, sustainability assessment, life-cycle assessment, and future research directions for developing high-performance and commercially viable green composite systems.

Enzymes are biological catalysts that regulate biochemical reactions and control metabolic pathways. This chapter explains how metabolomics can contribute to the discovery and functional characterization of enzymes by identifying changes in metabolite concentrations associated with enzymatic activity. Comparative metabolomics, gene knockout experiments, stable-isotope labeling, and multi-omics integration are discussed as approaches for linking metabolites with enzyme functions. Analytical platforms such as GC–MS, LC–MS, and NMR, together with databases including KEGG, BRENDA, HMDB, and METLIN, support metabolite identification and pathway analysis. The chapter also considers experimental validation, bioinformatics, challenges associated with unknown metabolites, and future applications involving artificial intelligence and computational biology.

The march of weather factors during crop period is never smooth and regular. Agriculture, because of its dependance on climate is inevitably subjected to unpredictable long and short term fluctuation characteristic of atmosphere conditions. Climate introduces an element of risk in farming which makes it particularly hazardous occupation.

A Weather hazard in this context can be defined as any type of extreme weather condition that can damage the crops and animals leading to abnormal decrease in production and income. The extent to which these hazards create risk depends on the time of occurrence, intensity and duration of the hazard besides the age, stage of development and inherent resistance of the crop or livestock involved. Major abnormalities affecting the crop production are:

5.1 Introduction
In random sampling it is assumed in prior that the population is divisible into a finite number of distinct and identifiable units and these units are known as sampling units. The smallest unit into which the population can be divide, is called an elementary unit (element) of the population. A group of such units is known as cluster. When such cluster is treated as sampling unit, then the sampling procedure adopted is known as cluster sampling. If the entire area containing the population under study is divided into smaller area segments and each element in the population belongs to one and only one such area segment, the sampling is sometimes known as area sampling.
Generally, identification and location of an element requires considerable time. However, once an element is located, the time taken for surveying a few neighbouring elements is small. Thus, the main function in cluster sampling is to specify clusters or to divide the population into appropriate number of clusters. Clusters are generally made up of neighbouring elements and hence elements within a cluster happen to be of similar nature. As a matter of fact, the number of elements in a cluster should be small and the number of clusters should be large. The required number of clusters can be selected either by equal or unequal probabilities of selection. All the units in the selected clusters are enumerated completely i.e. complete enumeration is made in all the selected clusters.

7.1 Introduction
In chapter 5, the cluster sampling has been discussed in which clusters were considered as sampling units and all the elements in the selected clusters were enumerated completely. It has been stated there that the cluster sampling is economical under certain circumstance but the method restricts the spread of sample over the population which results generally in increased sampling variance of the estimator under consideration. It is, therefore, logical to expect that the efficiency of the estimator will be increased by distributing the elements over a large numbers of clusters. Hence instead of observing all the units in the selected clusters, one may like to observe only few elements of the selected clusters. This will involve the sampling work to be done also within the selected clusters. If we do so, the process of selection will involve sampling work to be done at two stage, one for selecting the clusters where sampling units are the clusters and the second for selecting the units (elements) within the selected clusters where sampling units are the elements.
The process of sampling can be done at more than two stages. In this case the first stage unit will be larger than the second stage units and the second stage units will be larger than the third stage units and so on. Due to process of sampling in stages, such sampling is called “Multistage sampling.”

12.1 Chi-Square Variate
The square of a standard normal variate is known as a chi – square variate or chi square statistic with one degree of freedom.

Abstract

Rice is the staple and principle food of about half the human race and is often the main source of calories. Navara is a unique rice cultivar indigenous to Kerala, gifted with extra short growth duration. It is mainly used for the preparation of Navara kizhi, which is an effective remedy for rheumatic complaints, neuro muscular disorders and body rejuvenation. It is traditionally given as a supplementary diet to the under-weight and also consumed as a replenishing drink called ‘Karkadaka kanji’ during the monsoon season along with certain other herbal medicines.Despite the Navara is known for its special medicinal attributes to the producers, consumers and other actors of the value chain, there is a declining trend of Navara rice cultivation noticed (2000 acres to less than 50 acres) in the state (The Hindu, November 28, 2010), which entails the loss of biological and cultural diversity associated with this unique rice.The study attempted to identify and analyze the actors involved in the value chain of Navaraon the conservation perspective. The primary data required to analyze actors in the value chain were collected from the farmers, input suppliers, processors, retailers and consumers of Palakkad, through key informant method, focused group discussion, and structured interview schedules and analysed through Value chain mapping tool and SWOT analysis. The secondary data regarding the rice and its properties were collected from websites and publications. The study revealed that the cultivation of Navarashould be purely organic to preserve its medicinal value. The cultural practices except ploughing, such as weeding, manuring, harvesting etc. are done manually. Application of chemical fertilizers will increase the vegetative growth of Navaraand subject to lodging of plants and at the same it also affects the quality of rice.

Introduction

There are large numbers of wheat based products such as fermented pan bread, flat breads including chapati, biscuits, noodles and pasta products. Each product has its own specific requirements. For example fermented pan bread needs wheat with higher protein content, stronger and extensible gluten. Chapati requires hard wheat with high protein content and medium gluten strength. Waxy wheats have been found associated with improved shelf life of breads. White salted Japanese noodles need partial waxy wheats with soft grain characteristics and medium protein content and gluten strength. Partial waxy wheats with comparatively lower amylose content and higher starch paste viscosity improve texture of white salted noodles. Yellow alkaline noodles need comparatively harder wheat with medium strong gluten and without waxy trait. Pasta made from durum wheats requires stronger gluten, high protein content and higher content of yellow pigments. In this chapter detailed account of both fermented and flat breads will be given.

INTRODUCTION

Agroforestry has long tradition since dawn of the civilization. Farmers and/or land owners integrate different woody perennials in their cropping system along with the animal unit depending upon the physiographic and climatic conditions. It is well proven fact that such adopted systems/practices are location specific and information on such systems is very limited. Therefore, the benefits accrued from such systems are underexploited in comparison to its potential. With depletion of agricultural lands due to shift in rainfall pattern, landslide, run off, regular leaching of nutrients, drying up of natural springs and lack of irrigation facilities have resulted into uneconomical agriculture in the mountain regions of India in general and particular in Jammu & Kashmir. Most of the villages in mountains witness migration on a large scale and lands turning up barren and un-productive. The agroforestry system can provide a viable solution for such problems.

INTRODUCTION

Climate change is one of the most important global environmental challenges facing humanity with implications for food production, natural ecosystems, freshwater supply, health, habitat destruction biodiversity, etc. According to the latest scientific assessment, the earth’s climate system has demonstrably changed on both global and regional scales since the pre-industrial era. Since the very beginning of civilization, land resources have been under tremendous pressure for food and forest products. Anthropogenic activities have affected the biosphere through changes in the landuse and forest management activities, thus altering the natural balance of greenhouse gases in the atmosphere. The environmental security thus, has become a serious concern across the globe. The meteorological records have shown significant increase in the environmental temperature referred to as the global warming. Human activities have increased green house gases and raised global temperature by 0.50 C over the past 100 yr, which may increase by 1.4 to 5.8°C during the next century (Bhadwal and Singh 2002). Evidence of this global crisis include the rise in global sea levels by 3.4 mm yr-1 ((http://climate. nasa.gov/vital-signs/sea-level/) through the melting of the world’s snow peaks and glaciers, which poses a threat to millions living in coastal areas. A drastic effect on splitting of huge glacier in the Antarctica has already been registered, which has thrown a challenge to save the earth, lest the very survival of the mankind will be jeopardized. Each degree rise in temperature will displace the limits of tolerance of land species some 125 km towards the poles or 150 m vertically on mountains. The Inter-governmental Panel on Climate Change (IPCC) estimates that 20 to 30 per cent of plants and animals could be at risk of extinction if average global temperatures reach the projected levels (Hawkes et al., 2000).

INTRODUCTION

The latest Assessment Report (AR-5) of Intergovernmental Panel on Climate Change (IPCC) has concluded that warming of the climate system is unequivocal, and since the 1950s, many of the observed changes are unprecedented over decades to millennia. The report further pointed about the warming of atmosphere and ocean; shrinking of glaciers, sea level rise and more frequent and intense extreme weather events. The most critical information pertains to the increase of the concentrations of greenhouse gases. The report figures that human influence, primarily the burning of fossil fuels, has been the “extremely likely” dominant cause of global warming over the past several decades. Based on the scientific evidences, it is reported “warming by the end of the 21st century will lead to high to very high risk of severe, widespread, and irreversible impacts globally” (Edenhofer et al. 2015).

Abstract

Our biological heritage, from genes to ecosystems, is threatened on a global scale. Biological species, the prime focus on biodiversity, provide all our basic requirements such as food, medicine, fuel and things for well being, make nature’s sustainability through purifying air and water, pollinating crops, etc. and motivate us at a deep emotional level. During the course of human civilization and consequent urbanization process biological species and environment have been degraded. It is estimated that about 20% of all species are expected to be lost within 30 years and 50% or more by the end of the 21^st century [36]. The current rates of species extinction are 1000–10,000 times higher than the background rate of 10-7 species per year inferred from fossil record. Today, we seem to be losing two to five species per hour from tropical forests alone. This amounts to a loss of 16 m population per year or 1800 populations per hour. This led to biodiversity crisis in the global level [23,26,35] and generated an outpouring of research on biodiversity for the last 25 years. As a result we could have a general understanding about the distribution of biodiversity, the proximate causes (habitat loss, habitat fragmentation, habitat degradation, invasive species, pollution, resource exploitation) contributing to its loss, sketches of the root causes of biodiversity loss, and the outlines of better management policies. Since the establishment of the convention on biological diversity in 1992, conservation of biodiversity has become a priority concern on the international agenda.

Abstract

There has been consistent narrowing down of gap in our knowledge about various ‘omics’ as the omics’ based disciplines are filled with valuable information emerging from research. During the last two decades, the practice of genetics has not only changed the broad horizons of medicine but also found its niche through “high-dimensional biology” there by allowing geneticists to reframe the good-old definition of gene from a locatable region of genome sequence involved in heritability to a locatable region of genome sequence associated with a functional region or a functor. Various other scientists viewed genetics ‘‘as the study of single genes and their effects’’ and genomics as ‘‘the study not just of single genes, but of the functions and interactions of all the genes in the genome.’’ We will cover the qualitative difference that bridges various disciplines casing Omics.

Introduction

Growth enhancement technologies have been widely embraced in the livestock industry to improve growth, efficiency and carcass traits. For over 50 years, estrogenic and androgenic hormone implants were widely used in the cattle feeding industry, and it is estimated that approximately 97 percent of feedlot cattle in the U.S. receive one or more implants during the finishing phase (Barham et al., 2003; Tatum, 2006). There is a large body of literature that indicates the positive growth enhancement effects which implants impart on growing and finishing cattle and producers have extensively used implants to increase live body weight, improve average daily gain and feed efficiency, and reduce the number of days cattle are on feed (Apple et al., 1991; Duckett et al., 1997;Milton and Horton, 1996; Perry et al., 1991). Likewise, there is a growing body of literature that indicates the positive response on growth and carcass characteristics that finishing cattle have to beta-adrenergic agonists. The hog industry, and more recently, the cattle feeding industry have increased utilization of beta-adrenergic agonists to improve the efficiency of production. While the use of Ractopamine hydrochloride (Paylean^®, Elanco Animal Health, Greenfield, Indiana) has been used extensively in hog production since its approval by the Food and Drug Administration (FDA) in 1999, similar pharmaceutical feed additives have only recently been implemented in commercial cattle feeding operations. Beta-adrenergic agonist use in fed cattle has substantially increased following the FDA approval of Ractopamine hydrochloride (Optaflexx^®, Elanco Animal Health, Greenfield, Indiana) in 2003, and the approval of Zilpaterol hydrochloride (Zilmax^®, Merck Animal Health, Summit, New Jersey) in 2006. The use of both Ractopamine hydrochloride (RH) and Zilpaterol hydrochloride (ZH) have shown to elicit similar improvements in live weight gain, average daily gain, and feed efficiency as those reported in hormone implants (Allen et al., 2009; Avendano-Reyes et al., 2006; Beckett et al., 2009; Elam et al., 2009; Gruber et al., 2007; Kellermeier et al., 2009; Scramlin et al., 2010). In addition, these compounds have been reported to have profound effects on hot carcass weight, Longissimus muscle area and carcass cutability (Gruber et al., 2007; Hilton et al., 2010; Rathmann et al., 2009; Scramlin et al., 2010; Shook et al., 2009; Vogel et al., 2009). It is because of this that cattle feeders have drastically increased use of beta-agonists since their FDA approval, and a growing portion of the fed cattle population receive a dietary beta-agonist supplement that is provided within the final 20 to 30 days of finishing.

Agriculture has always played and will continue to play a dominant role in the growth of Indian economy in the foreseeable future. It represents the largest sector producing around 28 per cent of the gross domestic product (GDP). Achieving self sufficiency in food grains production has ensured a high priority for agricultural sector in the successive development plans of the country. Agricultural production is grossly affected by attack of pests/diseases on various crops and the losses in food grains only are to the tune of Rs 90,000 crores each year in India. The prevention of such losses needs substantial consideration and accordingly forewarning of pests and diseases is essential for taking timely control measures. These are also required for assessing losses. Pest/disease infestation in crops is highly influenced by meteorological factors. The weather based modeling for early warning of pest/disease infestation may provide appropriate tool for investigating and predicting pest/disease status.

Introduction

Huge population in the developing countries requires increased amounts of food and fiber from a shrinking agricultural land base. Intensification of agriculture through expansion of irrigation facilities, introduction of high yielding varieties and application of increased amounts of agrochemicals has been in progress. Besides, the cultural practices like spacing, crop rotations, sowing times and tillage methods have been modified to achieve maximum productively per unit time from the available land. However, along with various technological achievements, sever outbreaks of insect pests, diseases and weeds in agricultural crops have also occurred. Many hitherto unknown species have assumed serious status and some of the serious pests have developed resistance to one or more groups of pesticides. In addition, pesticides have contaminated different components of our environment and pose a potential health hazard to consumers. Therefore, the future pest problems will have to be tackled in an environmentally benign manner as a part of a sustainable crop production technology (Dhaliwal and Heinrichs, 1998; Koul et al., 2004; Koul, 2008).

Introduction

The integrated nature and high diversity of the soil health system may contribute a significant degree of resilience under conditions of disturbance, particularly at lower (largely microbial) trophic levels. Nonetheless, the conversion of natural vegetation to agricultural land results in major changes in both physical organization and community structure in the soil, including species loss and changes in dominance among the surviving biota. This then becomes the resource with which agriculture must work and any targets should realistically be set in relation to the potential equilibria in agricultural systems rather than the natural systems from which they are derived, as has sometimes been advocated. More importantly, it is clear that subsequent agricultural practices may also impair soil health through significant impacts on the composition and structure of the soil biological community and consequently on soil-based ecosystem functions and services. Damage to ecosystem functions can arise both owing to an inadequate supply of resources (carbon, energy, nutrients or water) and through the impact of intensive substitutive practices such as continuous mechanical tillage, the use of pesticides and excessive amounts of fertilizers. These interventions may also impact on soil functions by destroying or changing the habitat of the soil organisms and their capacity to repair it.

Introduction

Increased food production is required to ensure food security in the face of the rising world population. The strategy will include cropping of the rising world population. The strategy will include cropping of the new geographical areas and increase in the per hectare crop yields, through better crop management; losses of the food in storage will have to be minimized.

The food grains and their products are susceptible to deterioration by a variety of biotic and abiotic factors. These include the high temperature, moisture, micro-organisms, mites, insects and rodents. Together they account for loss of about 25% of food grains worldwide. The losses are highest in the tropical and sub-tropical areas where conditions are relatively conductive for rapid growth and multiplication of the organisms that cause damage to the food materials, especially insects. Reliable pesticide and storage techniques are required for limiting the damage to food grains in storage in most of the developing countries of the areas.

Introduction

The United Nations’ Food and Agricultural Organisation reported that global aquaculture is increasing by 11 percent per year and is the world’s fastest growing food-producing sector. More than 38 million people are employed in aquaculture and associated industries worldwide, and 131 aquatic species are currently being commercially cultured. In 2002, Asia led the world in the aquaculture production, with about 12.4 million tonnes, while Europe and America together produced 1.2 million tonnes.

Among the Asian countries, India ranks second in aquaculture and third in capture fisheries. Freshwater aquaculture in India is mainly based on Indian major carps (Labeo rohita, Catla catla and Cirrhinus mrigala) with an annual production of 1.8 million tonnes, and exotic carps, which together contribute to over 87% of the total aquaculture production of 2.2 million tonnes. Disease problems represent important constraint to the aquaculture industry. The need to control endemic diseases imposes severe year-on-year costs on producers. The advances made in the development of vaccines for diseases of Indian major carps are very meager.

Introduction

Ornamental fish keeping in aquarium has emerged as the second most popular hobby next to photography. As these fishes usually are kept in aquarium, they are popularly known as ‘Aquarium Fishes’. These beautiful fishes form an important commercial component of aquaculture, providing for aesthetic requirements and upkeep of the environment. At present the market for ornamental fish in the world for public aquaria is less than 1% and over 99% of the market is still confined to hobbyist. In India the hobby of ornamental fish keeping is nearly 70 years old. The brilliant, flamboyant color and exotic appearance of fish appeal almost for every one, children and aged alike. According to psychiatrists, placing aquaria with ornamental fishes in the patient’s house could treat certain type of mentally disordered problems. The relatively minimum requirement of space or attention compared to other pet animals is the reason of growing interest in keeping aquaria all over.

Introduction

India is an agrarian society where 70% of the population depends on agriculture, animal husbandry and fisheries. Fishery is an important sector, its planning and development largely depends on a sound and reliable data and information on resource, production, marketing and distribution. Generating reliable information basically needs identification, conceptualization, classification and sound scientific techniques for collection, compilation and analysis of data. Geographical Information System emerged as an efficient tool to access, organize, update and analyse the information and to utilize it in an optimal way.

A proper computer based information system is the need of day to organize such complex data in order to draw reliable conclusions which may help in drawing action programmes. This multidimensional nature of information on topography, physico-chemical parameters, socio-economics and fish production data can only be handled and processed by Geographical Information System (GIS).

Introduction

In almost all biological studies, it will be impossible to account for every individual in a population. Therefore, it is necessary to examine a sub-group of the total population and extrapolate from this to the whole population. The process by which the sub-group of the population is selected is sampling. Nearly, all statistical tests make a fundamental assumption that sampling of individual will be at random from all the individuals that could possibly be sampled. It is very important that timing is taken into account either by sampling strategy or by later analysis. Most population will be affected by season, time of day and local weather conditions.

What is considered here is the problem faced by an ecologist working in the field and trying to design a suitable sampling strategy. The use of the very powerful statistical technique; analysis of variance (ANOVA) is more common in the situation of a controlled experiment, where, we are analyzing the effects of different levels of a treatment (e.g. feed, fertilizer, temperature etc.) on some measured aspect of population, Then, to get a true estimate of the effect of the treatment, experimental design will be of paramount importance.

Understanding biology and genetics at molecular level has become very important for better understanding and manipulation of genome architecture and this creates new opportunities to streamline plant breeding. Breeding is simply defined as the selective mating of individuals of a population to isolate or combine desired morphological, physiological or genetic traits such as appearance, yield, and disease resistance. This is performed with the assistance of identifiable traits.

Molecular markers have contributed significantly in this respect and have been widely used in plant science in a number of ways, including genetic fingerprinting, diagnostics, identification of duplicates and selecting core collections, determination of genetic distances, genome analysis, identification of markers associated with desirable breeding traits which are useful in marker assisted breeding, genomics and development of transgenics. Use of these markers also significantly reduces breeding time and cycles required for crop improvement. This is reflected in the fact that complete molecular and genetic maps have now been constructed for at least 20 major crop species and many more have been characterized at less defined level and the genomes of a few model plant species were completely sequenced.

Consumption of fruit and vegetables has dramatically increased globally during the past a few decades. These are living perishable biological entities which perform a number of metabolic functions and have a short life span. Once the fruit is harvested, respiration and transpiration continue, but only for as long as the fruit can draw on its own food reserves and moisture. It is this limited ability to continue vital metabolic functions which define fruit as perishable. It is also estimated that about 20% of all fruits and vegetables produced are lost each year due to spoilage. The process of the fruit spoilage is just the decomposition of the fruit itself. Once harvested, this begins to deteriorate until eventually it becomes unfit for consumption. This deterioration is known as decay and that leads to spoilage. Latter may be defined as “any sensory change (physical, visual, olfactory or flavour) which the consumer considers to be unacceptable. The gradual changes which cause deterioration and decay in fruits are due to certain organisms and chemicals present in the food and outside the food. Carbohydrates play a major role in the fruit spoilage process (Prasanna et al., 2007) by way of depolymerization leading to decreased molecular size with concomitant increase in the levels of ripening inducing specific enzymes, whose target differ from fruit to fruit. The major classes of cell wall polysaccharides that undergo modifications during ripening are pectins, cellulose, starch, and hemicelluloses (Hallet et al., 2005). The focus of this chapter is to provide information about carbohydrate metabolism during fruit spoilage.

Recent awareness of consumers towards innovative probiotic fermented food products containing friendly bacteria and healthier foods has coined the term functional foods. Food development in the world is taking place mainly in three strategic directions as functional foods, organic foods and national foods. Every year the global demand is increasing at the rate of 15–20 %.

Fermentation by newer technologies involves specific strain of lactic acid bacteria. This brings specific fermentation under controlled conditions resulting in a specific fermented product with enhanced organoleptic, nutritional and therapeutic qualities.

Ash gourd (syn:wax gourd, winter melon, white gourd, white pumpkin, ash pumpkin, Chinese preserving melon and hairy melon) is a vegetable belonging to family Cucurbitaceae and genus Benincasa with only one cultivated species, Benincasa hispida (Thunb.) Cogn. (2n=2x=24). Ash gourd is an important vegetable especially in the Indo-China region, which is also the major producer of ash gourd (Rubatzky and Yamaguchi, 1997), but it is also a potential crop of tropical Africa and America (Sirohiet al., 2005).

Dall code: A code of nomenclature prepared by W.H. Dall at the direction of the American Association for the Advancement of Science (1877).

Damage boundary: The level of injury where damage can be measured.

Damage threshold: Pest population above which crop loss occurs.

Damage: Measurable reduction in crop growth or yield; or a measurable loss of host utility, most often including yield quantity, quality, or aesthetic appeal.

Damping off: Infection of newly formed roots and stems of young seedlings by fungi or bacteria, typically at soil level, resulting in decay or seedling death.

Danger: A signal word used on pesticide labels to inform the user that the pesticide is highly toxic, as defined by FIFRA. The word poison and the skull and crossbones symbol always accompany the signal word danger.

R

Rabbet: A rectangular groove or cut made in the edge of a board, so that another similar cut may fit into it to form a rabbet joint.

Rack and pinion: A gear arrangement consisting of a toothed bar that meshes with a pinion. These are used to transform circular motion in to rectilinear motion and vice versa.

Rack and pinion steering: A steering system in which the rotation of pinion gear at the end of the steering column moves a toothed bar (the rack) left or right to transmit steering movements.

Radial arm: The movable cantilever, which supports the drilling saddle in a radial drilling machine.

Radial bearing: Bearing made with cylindrical or with barrel shaped rollers. The direction of action of the load transmitted to the axis of shaft.

Radial drill: l.A drilling machine in which the drill spindle can be moved along a horizontal arm, which itself can be rotated about a vertical pillar. 2. A heavy drilling machine, so constructed that the position of the drill can be adjusted to the work without moving the latter.

Radial engine: An engine, which has stationary cylinders, arranged radially around a common crankshaft.

Cattle Breeding Policies and Programmes in the Planning Process

It is necessary to see how the issues relating to Cattle Breeding have been dealt with in the successive Plan periods starting from the First Five Year Plan. It is seen that, while the issue of surplus cattle has been handled in different ways in the various Plan documents, some discussing this issue at great length and other remaining completely silent on the subject, other issues such as cattle development, genetic improvement and breeding etc., have also received varying degrees of emphasis in the different Plans. 

Anacardium occidentale is a medium-sized tree, spreading, and evergreen, much branched; grows to a height of 12 m. When grown on lateritic, gravelly, coastal sandy areas, it rarely exceeds 6 m and develops a spreading habit and globose shape with crown diameter to 12 m but, if grown inland on loams; it reaches 15 m tall and is much branched, with a smaller (4-6 m) crown diameter. The root system of a mature A. occidentale, when grown from the seed, consists of a very prominent taproot and a well developed and extensive network of lateral and sinker roots. Leaves simple, alternate, coriaceous, glabrous, obovate, rounded at ends, 10-18 x 8-15 cm, with short petiole, pale green or reddish when young and dark green at mature. Rai and Vatsala (1985) studied the dermal morphology and stomatal ontogeny of Spondias pinnata Kurz., Lannea coromandelica (Houtt.) Merr., Anacardium occidentale L., Holigarna arnottiana Hook. F. and Mangifera indica L. are studied. The cuticle is thick in H. arnottiana, A. occidentale and M. indica, but is thin in S. pinnata and L. coromandelica. Based on the shape of epidermal cells, the five species are categorised into three: cells in both upper and lower epidermis sinuous (A. occidentale, H. arnottiana, S. pinnata); upper sinuous and lower polygonal (M. indica) and upper polygonal and lower sinuous (L. coromandelica). Stomatal ontogeny aperigenous (L. coromandelica), paramesoperigenous (A. occidentale) and anisomesogenous (M. indica, H. arnottiana). S. pinnata is peculiar in that it possesses three different types of stomata, aperigenous, hemiparamesoperigenous and paramesoperigenous; whereas, in all the other four species, only one type of stomatal ontogenesis exists. Except S. pinnata, all the other species possess epidermal appendages. Unicellular trichomes occur in A. occidentale and H. arnottiana, and multicellular glandular trichomes in A. occidentale, M. indica and L. coromandelica. The multicellular hairs are found in A. occidentale in specialized pockets in two rows on either side of the major veins - a unique feature which is reported for the first time.

Pattern of Growth Flushes in a Bearing Tree

Two or three peak periods of growth are usually observed in a bearing cashew tree, even though under favourable conditions the stray shoot growth may occur almost every month. The pattern of growth of a bearing tree consists of a generative flower flush (reproductive) and a vegetative flush. The vegetative flush, consisting of lateral shoots, always develops soon after the main crop has matured. Flowering is terminal and is universally preceded by the vegetative flush.

There are two types of branching in cashew, intensive and extensive.

Though more than 1500 species contain volatile aromatic principles, only around 50 species serve as commercial source of essential oil and aroma-chemicals. Among these, aromatic crops under large-scale cultivation hardly exceeds two dozens. Important aromatic plants of world are classified according to economic part used, growth habit, habitat, crop duration and propagation method besides usual botanical classification.

Introduction

The economic choice of any process is the criterion for efficient utilization of the by-product that is produced along side of main product. During manufacture of major dairy products, the dairy industry also ends up in producing different by-products. Various by-products of dairy industry are skim milk, butter milk , whey and ghee residue. Dairy industry is particularly confronted with the problem of economic utilization of whey and ghee residue. The techno-economical problems associated with utilization of these by-products, is now receiving considerable attention. More efficient, cost effective and sophisticated technologies have opened up new vistas for manufacture of number of derived by-products. Further more the market for dairy by-products, as an ingredients in other consumer food products like snacks, ready meals and microwavable food products, has been growing.

Over the past several years, there has been significant change in consumer perception on quality and food safety. Consumers are demanding healthy, nutritious and cost-effective products processed under controlled hygienic conditions. Food safety concern, in recent years, has become dominant and important. The requirement of food safety and quality assurance has never been so demanding as it is now. Globally food safety is being addressed independent of food quality. In anticipation of consumer demands on food safety, food sanitary standards at national and international levels are under constant review. Several inter governmental agencies/organizations are engaged in work related to quality assurance and food safety. Amongst these World Health Organization (WHO) and Codex Alimentarius Commission (CAC) play the major role in protecting public health and defining standards of quality and safety aspects of foods for regional and or world wide usage.