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Lighting is a fundamental aspect of filmmaking and photography, crucial for setting the mood and tone of a scene. Different lighting techniques can evoke various emotions and atmospheres, helping to tell the story visually. Here are some common lighting techniques and the moods they create:

Types of Lighting Techniques

1. Three-Point Lighting

• Key Light: The main source of light, providing the primary illumination.

• Fill Light: Reduces shadows created by the key light.

• Back Light: Adds depth by separating the subject from the background.

Principle

The residue remaining from the hemicellulose determination is digested with 72 percent sulphuric acid at room temperature. The lignin and acid insoluble  ash are retained in the filter crucible while the digested carbohydrate passes through. The lignin is separated from acid insoluble ash by ashing the residue.

Equipment

    1.    Acid digestion apparatus. A glass tray about 18 cm x 30 cm, 4 cm deep will hold twelve, 100 ml Griffen beakers. Another tray of the same size can be inverted over the beaker.
    2.    Filter crucibles. Same as described for cell wall determination.
    3.    Filtering apparatus. Same as described for cell wall determination.

Summary

Over the past several decades, the exponential population and social civilization expansion have been accompanied by rapid industrialization. As such, there has also been a proportionate expansion in the global energy demand. Till date, crude oil has been the only source to meet the increasing energy demand. Nowadays ethanol is the most acceptable product in the fuel market. The importance of ethanol is increasing due to a number of reasons such as global warming and climate change, limited reserves of fossil fuel and reduction on imports of transport fuel. Lignocellulosic biomass is an abundant renewable source for commercial alternative fuel. Maximum bioethanol production depends on the whole process and optimum process parameters itself. Bioethanol from lignocellulosics is a type of second generation biofuel. Many researchers have been focused on bioethanol production from renewable sources. This chapter highlights the processing steps for second generation bioethanol production from lignocellulosics.

Introduction 
A major challenge facing the world today is making the transition to a sustainable and resource-efficient economy, especially considering climate change, resource depletion, and rising waste production. The idea of a circular economy has drawn a lot of attention in this setting. In contrast to the conventional linear economic paradigm of “take-make-dispose,” the circular economy prioritizes closed-loop solutions that reduce waste and environmental impact by reusing, recycling, and regenerating resources. The efficient use of biomass as a plentiful and renewable resource to produce biofuels, biochemicals, and bio-based products is a crucial part of this circular framework. The combination of cellulose, hemicellulose, and lignin, known as lignocellulosic biomass, is one of the most widely available and sustainable types of feedstocks for biomass. Originating from forestry byproducts, specific energy crops, and agricultural residues like corn stover and wheat straw, lignocellulosic biomass is a feasible substitute for raw materials derived from fossil fuels [1]. By minimizing reliance on non-renewable resources and supporting sustainable waste management, its conversion through biorefineries into a wide range of bio-based goods is fully in line with the concepts of the circular economy [2]. Integrated systems known as lignocellulosic biorefineries maximize resource efficiency and reduce environmental impact by converting all the components of biomass into marketable products. The production of biofuels (such as bioethanol and biodiesel), platform chemicals, bioplastics, and energy by these biorefineries greatly aids in the creation of renewable energy and sustainable industrial processes [3]. Biorefineries can maximize the utilization of biomass feedstocks by converting them into high-value products while upholding zero-waste principles by utilizing a variety of biochemical and thermochemical conversion processes [4]. A summation of the function of lignocellulosic biorefineries in promoting the circular economy is given in this chapter. The first section covers the current developments in pretreatment and conversion methods as well as the composition of lignocellulosic biomass. By incorporating these technologies into biorefinery systems, waste valorization and energy efficiency issues can be resolved, and biobased goods can be produced more effectively. This chapter also examines the prospects and problems faced by lignocellulosic biorefineries, looking at their technological, economic, and regulatory elements as well as how they might help with the worldwide transition to a circular bioeconomy.

1. Introduction
Increasing population, industrialization, and change in the human lifestyle have become the reason for the exhaustion of non-renewable energy sources, our prime energy resource. The combustion of non-renewable energy sources produces toxic pollutants such as CO2, CO, NOx, SO2, etc., and greenhouse gases CH4, CO2, and N2O which significantly contribute to global warming, environmental pollution, and health hazards. In the current scenario, we need a green energy source that does not generate toxic gases and is eco-friendly. Hence, the research is triggered towards finding alternative solutions to overcome the energy crisis. The various green energy sources are solar, wind, tidal, geothermal, hydropower, biomass, hydrogen fuel cells, etc. The major drawback of these sources is the geographical location to install the plants. In the present context, identifying an alternate energy source that is sustainable, renewable, and eco-friendly to overcome the ever-growing energy demands is crucial. Hence, bioenergy is an eco-friendly, economical, and sustainable source of energy that gratifies the contemporary development environment by utilizing the potential of renewable organic energy resources (Yin and Wang et al., 2022).
2. Biomass
The sources of biomass are agro wastes, wood wastes, aquatic wastes, municipal wastes, wet wastes, industrial wastes, forest residues, etc. Figure 1.1 illustrates various sources of biomass, such as agricultural leftovers, forestry waste, energy crops, and organic municipal waste, showcasing their potential as renewable energy resources. Biomass is the product of photosynthesis and is also a versatile renewable energy source that can be utilized for sustainable biohydrogen generation. Biomass absorbs atmospheric CO2 during its growth, leading to relatively a lower net carbon impact as compared to fossil fuels. Renewable organic resources (biomass) can be in a solid, liquid, or gaseous phase. Energy generation through the incineration of biomass has been a longstanding practice. Since the energy potential of the biomass is not extracted effectively, it leads to environmental pollution (Kumar and Fiori et al., 2024). Biomass can be converted to liquid and gaseous fuels called biofuels with significant calorific value through thermochemical and biochemical processes (Gautam et al., 2020). Biofuels are superior to fossil fuels in the context of sustainability and reduced emissions of greenhouse gases. A variety of biofuels and chemicals such as bio-ethanol, biodiesel, acetic acid, formaldehyde, etc., can be manufactured from biomass (Gautam et al., 2020). Globally, research is advancing towards replacing non-renewable fuels with biofuels. However, the transition to biofuel technique presents a challenge due to the huge space requirement for biomass. Table 1.1 illustrates the categories of biomass employed for hydrogen generation, categorized into lignocellulosic materials, algal biomass, organic waste, and energy crops.

A family of about 15 genera and 705 species showing cosmopolitan distribution. About 35 genera and over 195 species have been reported from India. Some of the largely represented genera along with the number of their world over reported species are Smilax (350), Aloe (300), Asparagus (300), Dracaena (150). Ornithogalum (150), Haworthia (150), Tulipa (100), Fritillaria (85), Lilium (80), Colchicum (65), Sansevieria (60), Yucca (40), Asphodelus (12) and Ruscus (7).
Lilium is a bulbous ornamental plant commonly known as lily. The flowers are associated with religious feasts and symbolism. In the language of flowers, the lily is the symbol of purity, and innocence. It is one of the sixth major genera of flower bulbs produced worldwide. Lilium ranks 4th among cut flower trade in international market. Certain species of Lilium are edible, and valued for medicinal properties also.
Tulip is one of the most important bulbous geophytes in the world and popular due to its beauty and economic value. It is the top rated flower bulb in the international cut flower market. Modern tulip cultivars, predominantly T. gesneriana, are grown for bulb production, cut flowers, flowering potted plants, and landscaping. The current commercial assortment still consists mainly of cultivars from T. gesneriana. The second group of cultivars, the Darwin hybrids consists has been obtained from interspecific crosses between cultivars T. gesneriana and genotypes of T. fosteriana. Tulipa suaveolens, a kind of tulip discovered wild in southern Europe, has played an important role in the evolution of the garden tulip (Bailey, 1963).

Lilium is a popular genus of ornamental bulbous plants, belonging to family Liliaceae. Lilium is originated from a Greek word “li” meaning whiteness. It is an herbaceous perennial plant having scaly bulb. Despite the range of forms and their popularity as garden plants, there are two main groups of commercial importance as cut flowers i.e. Asiatic and Oriental Hybrids. They are the result of interspecific hybridization. However, intraspecific and interspecific hybridization face the hurdles like interspecific incompatibility, embryo abortion, degeneration of ovule, poor seed set and pollen sterility. There are several breeding methods and techniques which have been used to overcome these hurdles.

Lilium is a popular genus of ornamental bulbous plants, belonging to family Liliaceae. Lilium is originated from a Greek word “li” meaning whiteness. It is an herbaceous perennial plant having scaly bulb. Despite the range of forms and their popularity as garden plants, there are two main groups of commercial importance as cut flowers i.e. Asiatic and Oriental Hybrids. They are the result of interspecific hybridization. However, intraspecific and interspecific hybridization face the hurdles like interspecific incompatibility, embryo abortion, degeneration of ovule, poor seed set and pollen sterility. There are several breeding methods and techniques which have been used to overcome these hurdles.

ORIGIN AND DISTRIBUTION

All species of Lilium are native to northern hemisphere. The northern limit extends up to Canada and Siberia, whereas in south, this extends up to Florida and the Nilgiri mountains of India. Majority of lilies known to cultivation are native to the northern hemisphere, chiefly South Canada, Siberia, Florida and India. It is distributed to east coast of Asia, the west coast of North America and the Mediterranean region. Several species i.e. Lilium nepalensis, L. wallichianum and L. polyphyllum are native of Himalayan region and L. niligiriensis have originated from Nilgiri hills. Few species have also been found in north east India. The Far East is the home of almost half of the world lilies and most garden lilies grown in the world have originated there.

The Assyrian monuments dating back to 1000 BC with sculptured lily forms is the first authentic record. The Palestinian coin makers were stamping lily on shekels before 143 BC. Lilium longiflorum popularly known as Easter lily became a florist flowerwhich existed in the Japanese gardens before trade opened the orient to the west. After that it was brought to the England by the Royal Horticultural Society in 1819. Lilies reached to Bermuda from England where it flourished well. Lily depicted an ancient Greek pottery, featured in literature and religions as diverse as pagan myths. Today lilies are enjoying a renaissance of recognition. In Italy and France they are among the most fashionable of flowers. In the USA their popularity has increased tremendously. A number of lily bulbs were imported by the US from the Netherlands for both professional forcing and garden usage. In India, lilies are mostly grown in the hills but Lilium longiflorum do well in the plains, especially under subtropical regions. There are about 7000 registered varieties of lily. The International Lily Register is maintained, under international agreement by the Royal Horticultural Society in London.

Lily is one of the most beautiful and popular ornamental bulbous flowers. They belong to the genus Lilium of the family Liliaceae, which comprises of 110 species classified into seven taxonomic sections: Lilium, Pseudolirium, Martagon, Sinomartagon, Archelirion, Leucolirion and Oxypetalum. All species are distributed over the mountainous area in the Northern Hemisphere (10° to 60°), mainly in Asia, North America and Europe. Especially, China, Nepal, Korea and Japan are the major centres of lilium gene pool around the world. Being second amongst the bulbous flower crops in the commercial market, Lilium has 4^th position among cut flowers in Flora Holland (Flora Holland Annual Report 2017). In the language of flowers lily is known as symbol of purity and innocence. Majority of cultivated lilies are either hybrids or selections. A large number of species and hybrids can be used in ornamental gardens even though the lily requires little more attention than any other bulbs. Many species of lily (L. leichtlinii, L. lancifolium, Lilium candidum and L. auratum) are also edible and having medicinal value.

Importance and uses

Lilies are one of the most important bulbous ornamental plants with varies uses, grown in border, beds, pots, landscape gardens and are excellent cut flowers of magnificent appearance and beautiful flowers. Roman naturalist and writer, Plinius, recorded that salves and oils were prepared from leaves and flowers of the Madonna lily, or L. candidium. Some species are also known for medicinal and food values, which increased its economic importance many folds. The mucilaginous substance coming out from the bulbs while cooking is used as an ointment for tumours, ulcers and inflammations. The plant was really more of a miniature household pharmacy. Different compounds have been reported in this genus, such as carbohydrates, proteins, fats, amino acids, vitamins, alkaloids, phenolics, flavonoids, carotenoids, sterols, steroidal saponins, and steroidal glycoalkaloids. Alkaloids, steroidal saponins, flavonoids and polysaccharides have been isolated from L. lancifolium and L. brownii var. colchesteri bulbs. Flowers of Lilium candidium contain an alkaloid. Extract of Lilium polyphyllum bulb has been used as refrigerant, expectorant, aphrodisiac, diuretic, antipyretic and tonic (Warrier et al., 1997; Dhyani, 2007). In the customary system of medicine, this species reported to restore health immediately and works as antioxidant in the body. Lily oil is an aid in childbirth. The white lily was also renowned as a cosmetic.

Lilies, both Asiatic lilies and Oriental lilies, along with their hybrids are cultivated in very small scale in India, but are classified under high value crops (based on per stem value). Lilies are also capital intensive crops, in terms of high cost of infrastructure required for protected cultivation and bulbs which are imported. This article deals with growing conditions, varieties and other cultural aspects, as well as, practical tips from field conditions, from areas where Liliums are commercially grown in India.

Lilies are grouped under “high value flowers” in commercial floriculture parlance and are generally regarded under minor crops in production terms (on quantity produced or on area under production or on per sq.meter yield per year basis).  Lily is in fact a more productive and lucrative crop, specifically so in terms of income (on per sq. meter per year basis) than any other cut flower grown for commercial purposes in the open or protected cultivation in India.

Introduction

Lily is one of the most important ornamental bulbous flowers. It is commercially cultivated for cut flower production. The flower stems of lily are long and it has longer vase life. Lilies are very useful flowering plants which can be planted in any location as they do well in the bed or border with other perennial.

Asiatic and oriental lilies are leading cut flower group and in the international market it is dominated by the Netherlands. Oriental and Asiatic hybrid lilies are compact, with plant height of 60 to 150 cm that bears many flowers.

INTRODUCTION

Lily is one of the most important ornamental bulbous plants. It comprises one of the distinctive flowers in form, appearance and colour. The flower stems of lily are long and sturdy with luxuriant foliage and it has longer vase life. Lilies are very useful flowering plants which can be planted in any location as they do well in the bed or border with other perennial. Almost all varieties of lily are suitable for planting in combination with other plants and in front of tall shrubs. They look very charming in large clusters for mass effect. Shorter varieties are planted in containers. Lilies may be planted in the perennial border, preferably with the plants having ample foliage. They seem to have fascination for some companion and thus can be grown with other flowers in the garden. The bulbs of some varieties of lily are edible and somewhat bitter in taste but fairly pleasant when properly cooked. In China, bulbs of tiger lily are prefered as food due to its specific taste. Lilaline, an alkaloid is also found in the flower of some lilies. Lily has several medicinal properties. The bulb is diuretic, emmenagogue, emollient and expectorant. The flowers are carminative. They are used to strengthen the eye lid muscles and are commended in the treatment of myoptic astigmia.

Among the lilies, two groups have been evolved through extensive improvement and referred as coloured lilies and extensively grown for cut flowers and other popular type is generally grown for garden display in India. Asiatic and Oriental lilies are leading cut flower group and in the international market. It is dominated by the Netherlands. An oriental hybrid cultivar Tiara is developed. It is true pollen free lily, excellent for bouquets. Oriental and Asiatic hybrid lilies are compact, with plant height of 60 to 150 cm that bears many flowers. Spikes of 10 to 15 cm flower diameter that may point up, out or down. Blooms may be red, pink, orange, yellow, lavender or white in colour. They grow well in full sun or light shade, although flowers sometimes fade if exposed to hot sun. They can be grown with companion plants providing less competition. Popularity of Oriental lily is increasing over Asiatic lily.

Abstract: Lilium is one of the six major genera of flower bulbs produced worldwide. Species are native to diverse habitat within Northern hemisphere. Liliums have a lengthy association with various world cultures. As a result, flower breeders have created numerous genotypes during the millennia of breeding this crop which has enabled its establishment in the top ten cuts, potted flowering and garden crops worldwide. The crop arises from multiple species. Research has focused on development of late flowering genotypes with forcing ability, improvement of flower form/ shape, pollenless cultivars, disease resistance and floral longevity. The limited genetic information and trait heritability have been established for this crop. Wide crosses are routinely used to create new genetic variability. Breeders have created complex hybrids such as LA, OT, OTO, FA, FAA, FO and OA hybrids through in vitro embryo rescue techniques. Molecular biology is being used to engineer Lilium against LSV and TBV. Crop ideotypes prescribe numerous traits for incorporation by flower breeders and geneticists including short forcing time, late flowering in Asiatic lilies, enhanced shelf life, genetically controlled height, rapid propagation and cultivars requiring no vernalization for flowering.

Lima beans are flat green or light green beans. It is only utilised for the seed because the pods are coarse or woody. There are two kinds used in commercial canning: a climbing or pole variant and a dwarf or bush variation. Like other legumes used for seed, the lima bean (Phaseolus Iunatus) has a wide range in seed size, shape, and colour, as well as plant structure and primary applications. For freezing, canning, or fresh market usage, mature seeds are utilised like a vegetable. Lima’s have long been used as a grain legume when they are firm and dry. Peru is where they were discovered. The first domestication occurred in the Andes around 2000 BC, resulting in a large-seeded variety (Lima type), while the second occurred around 800 A.D. in Mesoamerica, resulting in a small-seeded variation (Sieva type).

Despite the meticulous methodology and extensive analysis employed throughout this research project, it is crucial to acknowledge and address the limitations that arose during the study. By recognizing these limitations, we not only ensure a transparent evaluation of the research process but also shed light on potential areas for future investigations to refine and expand upon the findings.

In this section of the chapter, the limitations encountered in this thesis are highlighted as follows:

Despite the meticulous methodology and extensive analysis employed throughout this research project, it is crucial to acknowledge and address the limitations that arose during the study. By recognizing these limitations, we not only ensure a transparent evaluation of the research process but also shed light on potential areas for future investigations to refine and expand upon the findings.

In this section of the chapter, the limitations encountered in this thesis are highlighted as follows:

1. Due to the complexity of the concept, obtaining quantitative responses proved to be exceedingly challenging.

2. The development of improved scales for scoring could have enhanced the research if implemented.

3. The inclusion of a greater number of relevant variables could have provided a more comprehensive and in-depth understanding of the research topic.

4. Deploying mathematical optimization and simulations could have effectively integrated and co-integrated the seemingly disparate aspects of climate change perception, uncertainty perception, and perception of agricultural dynamics.

5. Presently, farmers are hesitant to engage in conversations and provide data to individuals outside their close social circles.

8.1. Limitations

The most important limitations which have been observed in this research are as follows:

1. Bench marking on the status of reigning uncertainty and chaos on farming’has really been a difficult task.
2. There are problems of overlapping of some variables that could have been avoided.
3. Some new scales could have been better if created.
4. Since the concept is complex, it was very difficult to get qualitative response.
5. Farmers nowadays are reluctant to engage in conversation and produce data.
6. Due to non-random sampling , there is possibility of error or biases.

8.1 Limitations

1. The research was limited to a specific geographic area.

2. The study was constrained by limitations in time and reSources.

3. The study relies on the subjective opinions of the participants, which may be influenced by their individual perspectives and biases, despite the researcher’s efforts to gather them as objectively as possible.

4. It would have been advantageous to include a broader range of relevant variables in the study.

5. A suitable statistical model could have been employed to provide thematic support for the behavior and functioning of the system.

6. The selection of variables could have been expanded by incorporating additional variables that would have demonstrated resilience in domain interactions.

A student investigator confronted time constraints, such as course credit pressure, and resource constraints, such as physical, budgetary, and managerial constraints, in the current investigation. However, every effort and consideration made the study as objective and scientific as feasible. Despite the researcher’s best efforts, the study depends on the respondents’ opinions, which may or may not be devoid of their perceptions and biases.

As a result, it is a modest piece of labour that may be completed over a more extended period.

Suggestions for Future Research

• The findings of the present study warrant the need for further investigations in several directions. The following suggestions are made for further research in the following areas.

• The study was confined to one state; therefore, the results cannot be generalised to the whole country. Similar analyses can be taken up in other states to generalise the results.

Limitations
• Data Reliability and Availability: The availability and dependability of data is one major drawback. Accurate assessments of livelihood dynamics can be hampered by the absence of complete and current data that is frequently present in rural areas. Research results may also be impacted by data inconsistencies seen in local reports, surveys, and official sources.
• Complex and Dynamic Variables: Because livelihood transitions are multifaceted and influenced by a variety of policy, environmental, and socioeconomic factors, it can be difficult to separate out and evaluate individual components. The interaction of these variables may make it more difficult to determine the precise cause and effect correlations.
• Temporal and Spatial Variability: The dynamics of livelihood can change dramatically over time and between Bengal’s many regions. The generalizability of results and suggestions may be limited by the nonuniform application of research findings across domains.
• Implementation Difficulties: Implementation issues with well-designed policies and initiatives can include local opposition, corruption, and ineffective bureaucracy. These difficulties may impede the efficacy of interventions and make evaluating their effects more difficult.
• Response Variability and Adaptation: Rural communities’ responses to changes in the economic, environmental, or social spheres can vary greatly. Adaptation techniques can be influenced by local cultural norms, resource availability, and unique household situations, making it challenging to create universally applicable solutions.
• Future Uncertainties: The trajectory of livelihood transitions may be impacted by uncertainties about future technical advancements, economic situations, and the effects of climate change. Accurately predicting these changes is intrinsically difficult, which may compromise the validity of subsequent estimates and suggestions.

Results of intensive researches in the field of synthetic seed technology seem promising for propagation of crop plants. However, as described in literature, the major stumbling block in establishing artificial seed production as a viable technology is a lack of understanding of the somatic embryo process and an inability to consistently produce high-quality propagules that can germinate in a soil environment with an acceptably high success rate7. Several aspects of the techniques are still underdeveloped and hinder its commercial application.

10.1. LACK OF STANDARD PROTOCOLS

The synthetic seed technology application in a commercial scale is still hampered by the low efficiency of the protocols and logistic behind it. Till today standard protocol for synthetic preparation is available for a limited number of plant species.

Introduction

The influence of various socio-economic factors on the willingness of the decision makers to adopt new technologies has been investigated by a number of studies (Roe, 1983; Shakya and Flinn, 1985; Thomas et al., 1990). In most studies of adoption behaviour, the dependent variable is constrained to lie between 0 and 1 and the models used are exponential functions (Kebede et al., 1990). However, the decision to adopt a new technology can be very effectively captured using binary choice models. Binary choice models are appropriate when the choice between two alternatives depends on the characteristics of the problem. Application of a linear probability model to this type of problem, however, suffers from a number of deficiencies (Capps and Kramer, 1985), particularly, the one associated with the estimated probabilities in some cases being greater than one or lesser than zero as a result of neglecting significant interaction effects (Mingche, 1977). These deficiencies could be circumvented through the use of a monotonic transformation (probit or logit specification) which guaranties that predictions lie within the unit interval (Capps and Kramer, 1985). Univariate logit and probit models and their modified forms have been used extensively to study the adoption behaviour of farmers and consumers (Schmidt and Strauss, 1975; Garcia et al., 1983; Shakya and Flinn, 1985; Harper et al., 1990). According to Hanushek and Jackson (1977), the choice between logit and probit models is largely a matter of convenience. However, Maddala (1983) and Shakya and Flinn (1985) have recommended probit models for functional forms with limited dependent variables that are continuous between 0 and 1, and logit models for discrete dependent variables.

Model Specification

Univariate logit model is generally used to study the adoption behaviour of farmers and consumers.

The model is estimated using the maximum likelihood method.

3.1 Definition

 Let f (x) be the function of a random variable ‘x’. If there exists a number ' ' ?

 such that f(x) may be made as close to ' ' ? as we proceed to choose x close to

 a given number ‘k’, then we say that the limit of f(x) as x approaches to k, is ' ' ?

 and we write it symbolically as

 x k

 limf(x)

 ?

 ??

 Example 3.1 : We are giving some examples as below:

 Example 3.1.1 : A function f (x) may become infinite as x tends to a value ‘c’

 and we write that

 x c

 limf(x)

 ?

 ??

 Example 3.1.2 : Consider the function 1 f(x) x ? . Then we say that as x ??,

 f(x) tends to zero and write it as :

 x

 1 lim 0

INTRODUCTION

Lakes are of immense ecological, economic, and cultural significance, representing integral features within our planet's landscapes. Studies show that there are around 117 million lakes worldwide, constituting about 4% of the Earth's non-glaciated land surface (Verpoorter et al., 2014). These lakes play a crucial role in providing essential services to nearby communities and serve as important centres for recreation and overall well-being. However, the increasing demand for natural resources has led to widespread degradation of these lakes (Jenny et al., 2020). Despite efforts to restore lakes, there is a prevailing perception that such programs often encounter high failure rates (Søndergaard et al., 2007; Gulati et al., 2008; Poikane et al., 2024). This concern is particularly pronounced in less economically developed countries, where populations are highly exposed to the consequences of lake degradation, and monitoring, assessment, and restoration programs may be in nascent stages. Additionally, lakes play a pivotal role in climate regulation, influencing local weather patterns and contributing to global processes such as water and carbon cycles. Recognizing and preserving the significance of lakes is imperative for sustaining ecosystems, ensuring water security, and nurturing the well-being of both the natural environment and human societies. 21o 8’ 55’’ 79o 4’46’’E.

Nagpur situated at coordinates 21o 8’ 55’’ N and 79o 4’46’’E, holds the distinction of being the second capital of Maharashtra. Renowned as the "orange city" and the "city of lakes," Nagpur relies significantly on its lakes as a valuable resource base. The current water supply for the city is primarily sourced from, Kanhan River, Gorewada Lake, and Pench Dam. Futala Lake serves an irrigation purpose, benefitting 84 acres of cultivated agricultural land. Ambazari Lake, on the other hand, caters to the water needs of local residents in the MIDC colony, Hingna area, Nagpur, and supports industrial purposes. Other notable water bodies in Nagpur include Sonegaon, Gandhisagar, Naik, Sakkardara, and Lendi. However, these lakes face severe pollution due to anthropogenic activities such as bathing, washing clothes, and improperly disposing of plastic, paper, oil, and worship materials. Moreover, the lakes Gandhisagar and Lendi are now dried.

1. The term limnology is derived from Greek word.

2. Limne means lake.

3. The term limnology was coined by Francois-Alponse forel.

4. August Thienemann and EinarNaumann co-founded the international society of limnology.

5. Welch 1935 described about biological productivity.

6. Epheirology is defined as branch of science deals with terrestrial habitats.

7. Peter Erasmus Muller is credited with laying the foundation stone of limnological study.

8. Anton Fritsch could be considered as the Pioneer in Lacustrine limnology.

9. F.Simony (1850) is regarded sometimes as the founder of limnology for his discovery of thermal stratification.

10. Junge and Forbes who were the first to treat the native waters as microcosm.

ABSTRACT

Lineaments are the surficial expression of sub-surface phenomena which are well discerned from low-orbital data, satellite data with its synoptic view and repetitive coverage and help to bring out more information on structural features hither to unknown by conventional geological surveys. Their study paved way to many new concepts on tectonism, mineralization, structural deformity etc. of an area both in regional and local perspective. In the present study, a small area was selected after careful observation, for their importance in mineral deposits. The lineaments are mostly structurally controlled and analysed for their relationship with the base metal deposits of the area. Moreover satellite parameters like spatial resolution, scale etc., and are observed for their changes in their orientation and relationship with the deposit of the study area, Jambughoda of Panchmahal District, Gujarat Satellite data of Landsat MSS and TM are used for the analysis. The results proved that the satellite parameters are important criteria and play a vital role in lineament analysis for mineral investigation.

Abstract

The frequently recurring earth tremors / Seismicities in parts of Tamil Nadu & Kerala and the earthquakes of higher magnitude in Central India in the recent years have gradually dissolved the concept of shield area stability for the South India and the concept of mid-plate seismicity has emerged in the minds of geoscientists, Hence, the geoscientists have embarked into a number of studies to bringout seismotectonic maps for South India. In this context, a detailed studies have been carried out by the authors in parts of westernghats (Kodaikkanal and Varushanad hills) in Tamil Nadu. In the said study lineaments were interpreted using high resolution IRS satellite data and from the lineament pattern, isofracture, lineament density and lineament interaction intensity the strain maxima axes were drawn. Such strain maximas were observed to fall in N- S, E – W and NE –SW directions. These strain maximas were found to coincide with various drainage anomalies, like radial, compressed meandering and eyed drainages indicating that these lineaments are prone for seismicity/ earth tremors.

8.1 Write True/False

Q.1    Any linear function of sample observations which is used to estimate the population parameter or parametric function,is called the “Linear estimator.”

Introduction

Aquaculture, the farming of aquatic organisms, has been the agro industrial activity with the highest growth rate worldwide in the last four decades. From 1970 to 2008 the production of aquaculture organisms grew at a rate of 8.3% per year, compared to less than 2% of fisheries, and 2.9% of livestock (Luchini et al. 2008). In India, aquaculture feed market was valued at USD 1.20 billion in 2017 and is expected to register a CAGR of 10.4% during the forecast period (2018-2023). Indian feed mills have the capacity to produce 2.88 million metric ton. Andhra Pradesh is the largest feed consuming state in India (Anon. 2017). The growth in production has been faster for fed species than for non fed species indicating that adoption of feed based aquaculture as the major driver of aquaculture production growth (FAO, 2016). However, the demand for aquaculture feed in the country will touch to 7 million tons by 2017-18. Hence, there is wide gap in demand and supply of feed. The feed cost is a major production cost in aquaculture in India yet feeding of fish is still mostly guesswork, each fish producer following different guidelines (feed charts) or adopting different practices. Feeding too much leads to feed wastage, a pure economic loss, and greater waste output. Feeding too little results in less growth and this also represents an economic loss. In intensive and semi intensive aquaculture, natural foods are not sufficient to meet our overall nutritional requirement of the fishes for their survival and faster growth. Hence, the good quality supplementary diet which contains all required nutrients in recommended quantity were recommended by many aquaculture scientists for the better production. It is further opined by the researchers that it is economical to prepare supplementary feeds by using locally available ingredients. The dietary carbohydrates are usually quantitatively the largest constituent of diet (40-55% W/W) particularly in feeds for carps, the most dominant group of fishes with respect to not only world aquaculture but also Indian Aquaculture. The rice bran, corn, and wheat are the conventional carbohydrate sources in India. In North East Region of the country none of these items are produced locally in sufficient quantity (Kumar et al. 2018). Due to less of local production of these ingredients, cost of feed which generally constitute about 40-50% of total cost of production, increase tremendously in NEH region due high transportation cost. Hence, for development of ideal feed for carp based aquaculture in North East Region, optimization of feed cost is very important to make the fish production cost effective and more profitable.

Introduction

Linear programming (LP) is one of the most widely applied operation research techniques and owes its popularity to George Dantzig’s simplex method (Danzig 1963). It is an important field of optimization for several reasons. Many practical problems in operation research can be expressed as linear programming problems. Linear programming is heavily used in microeconomics and business management, either to maximize the income or minimize the costs of a production scheme. Some examples are food blending, inventory management, portfolio and finance management, resource allocation for human and machine resources, planning advertisement campaign etc.

In our economy, there are limited resources at our disposal. Our problem is to make such use of these resources to yield maximum quantity of production or to minimize the cost of production. Therefore, there arises the question of Linear Programming that is defined as a mathematical method of calculating the least cost combination of the factors of production, when there are many possible alternative combinations available to an enterprise.

24.1 Introduction

Linear programming is a budgeting technique which is more refined and systematic than conventional budgeting in determining the optimum combination of enterprises or inputs so as to maximise the income or combination of enterprises or the income or minimise costs within the limits of available resources. It may be defined as “The analysis of the problem in which a linear function of a number of variables is to be maximised or minimised when these variables are subject to a number of restraints in the form of linear inequalities”, In linear programming models, the objective of the typical farm i.e maximisation of net profit or cost minimisation is achieved through an optimal plan generated from its solution.

2.1 Introduction

Consider two linear equations in two variables i.e., x and y, such that equations are

Introduction

Regression analysis is one of the most widely used techniques for studying relationships involving multiple variables for analysing data by expressing a relationship between a variable of interest (the response) and a set of related predictor variables. The regression models include linear and non linear approaches assuming appropriate functional forms. A good account on regression analysis and related topics can be found in Draper and Smith (1998), Montgomery et al. (2001), Chatterjee and Hadi (2006) etc. In this write-up, regression model fitting, some of the detection techniques which are useful in detecting the problem of multicollinearity between the so-called ‘independent variables’ and also outlier detection in data are discussed. Linear regression with qualitative regressor variables is also discussed. Moreover, variable selection procedures, goodness of fit measures for model adequacy and validation are also discussed. In addition, non-linear regressions viz., logistic (both binary and multinomial) when the response variable is qualitative are also covered.

Multiple Linear Regression Modeling

Let the response variable (variable to be forecasted) be denoted by Y and the set of predictor variables, by X1 , X2 , …, Xp , where p denotes the number of predictor variables. The true relationship between Y and (X1 , X2 ,…,Xp ) can be approximated by a multiple linear regression model given by

8. 1 Introduction

Water is a precious commodity. Necessity of conservation of water supply is increasingly felt all over the world as the demand of it continues to increase when the sources of supply are increasingly scarce. The conveyance and proportional distribution of water is one of the most important part of any irrigation project. Water available in the stream, reservoirs or wells is carried to the field of use through canals. The economy of any irrigation project largely depends on how efficiently the water is being transported and distributed in respect to water losses and cost.

Water losses in irrigation channels are mainly due to evaporation from the water surface and seepage from the bed and side of the channels. Seepage losses some time become the single important factor which causes unavailability of water particularly in downstream of the channel in canal irrigation system and excess pumping of water in tube wells and river lift irrigation system.

Lining irrigation channels means to cover the channel earthen surface by any substance, which can considerably reduce the seepage loss. The concrete, brick, stone, natural clay of low permeability, bituminous material, plastic compounds, etc. , are used for channel lining.

9.1 Introduction

Water is a precious commodity. Necessity of conservation of water supply is increasingly felt all over the world as the demand of it continues to increase when the sources of supply are increasingly scarce. The conveyance and proportional distribution of water is one of the most important part of any irrigation project. Water available in the stream, reservoirs or wells is carried to the field of use through canals. The economy of any irrigation project largely depends on how efficiently the water is being transported and distributed in respect to water losses and cost.

Water losses in irrigation channels are mainly due to evaporation from the water surface and seepage from the bed and side of the channels. Seepage losses some time become the single important factor which causes unavailability of water particularly in downstream of the channel in canal irrigation system and excess pumping of water in tube wells and river lift irrigation system.

Linkage

When two or more genes are located on the same chromosome, they are said to be linked. Genes on different chromosomes are distributed to the gametes following the law of independent assortment. However, genes located on the same chromosome, tend to stay together during gamete formation. For example, results of test-crossing dihybrid individuals will produce different results depending upon whether the genes are linked or are located on the same chromosome. This is illustrated as follows:

Operational agricultural meteorology is a critical field that applies meteorological knowledge and tools to support agricultural decision-making, enhance crop yields, and mitigate the impacts of weather and climate variability on agricultural systems. Effective collaboration and coordination among various stakeholders are essential for the successful application of agricultural meteorology (Fig. 12.1).
This chapter explores the linkages between key players in operational agricultural meteorology, including national meteorological services, research organizations, development departments dealing with agriculture and allied sectors, agricultural universities, and non-governmental organizations (NGOs).
Importance of Collaboration in Agricultural Meteorology
The integration of meteorological information into agricultural practices requires a multidisciplinary approach. By working together, stakeholders can ensure that weather and climate data are accurately interpreted and applied to support farmers, policymakers, and other decision-makers. Collaboration can lead to improved agricultural productivity, reduced risks associated with weather extremes, and more sustainable agricultural practices.
12.1. Key Stakeholders and Their Roles
• National Meteorological Services (NMS): Provide weather and climate data, forecasts, and warnings that are critical for agricultural planning and management.    

There streams of thought are presented in this paper:

One, that rural women are not only the warriors, creative actors in the agricultural scene, or rural areas, but also the urban poor, the  migrants , the homeless, the source of labour supply into the expanding urban spaces, including trafficking.
 
I would then argue [two] that this spread of the location of “rural women” is the phenomena that we should now look at, the connectivity between the old divisions of rural and urban, as it indicates the pressures that the current development paradigms operating in our countries, is putting on the RURAL … and therefore that we should look at the macroeconomic policies that are in place, globally and regionally and  nationally.

ABSTRACT

Farmers in India are at the mercy of traders especially the middlemen who fix lower rates at the farmers end. The farmers are desperate as they are not aware of the prices elsewhere and they have meager produce at their hand. Market led agriculture is need of the hour which needs market intelligence. Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu in collaboration with Centre for Development of Advanced Computing, Hyderabad centre initiated the project for the benefit of farmers and traders covering six major markets of South India as Pilot project. Main emphasis of the project is covering Perishable items of 161 commodities, updating the daily wholesale and retail price through www.tnau.ac.in/ www.indg.in @ 1.00 PM with the help of Market Analysts recruited for this purpose. Ensuring the last mile connectivity and reaching the large number of users, the price information is being delivered through Mobile phone. This paper also explains about its additional features.

Introduction

Flax (Linum usitatissimum L.), also known as common flax or linseed, is a member of the genus Linum in the family Linaceae. Linseed is an annual oil crop that is grown either for its fibre (fibre flax) or for its oil. The area under annual cultivation is 3 million hectares, accounting for 1% of the total world production of plant oil. The five major flax-producing countries are Canada, China, India, the United States, and the European Union.Canada with 614,000 metric tonnes of flaxseed produced in the year 2013-2014, is the world’s largest producer of flax and accounts for nearly 80% of the global trade in flaxseed (Oomah 2001; Bhatty, 1995)

Flaxseed, of Mesopotamic origin, has been cultivated in Mediterranean region and India since 5000 BC, being used principally for the fabrication of cloths and papers (Soni, et al., 2016).

With the adoption of cotton as a fibre crop for cloth preparation, fibre flax production declined and the major use of flax was switched from stem fibre to seed oil. It is a food and fibre crop cultivated in cooler regions of the world. Textiles made from flax are known in the Western countries as linen, and traditionally used for bed sheets, underclothes, and table linen. Its oil is known as linseed oil. In addition to referring to the plant itself, the word “flax” may refer to the unspun fibres of the flax plant. The plant species is known only as a cultivated plant and appears to have been domesticated just once from the wild species Linum bienne, called pale flax. (Allaby et al.,2005). Fibre flax is currently grown in the cool-temperate regions of China, the Russian Federation and Western Europe while linseed cultivars are grown in Canada, India, China, the United States and Argentina (Green et al., 2008).

Introduction

(Titrimetric Method of  Cherry and crandall, 1932 Modified by Tietz and Fiereck, 1966).

In 1932, Cherry and Crandall employed olive oil as the substrate for pancreatic and serum lipase (LPS. Triacylglycerol lipase) determinations. In subsequent years this method was improved (Tietz et al., 1959; Tietz and Fereck, 1966: Tietz. 1972), reducing the original 24 h, period to 6 h and finally to 3 h.

Principle
This procedure is based on the hydrolysis of triglycerides in olive oil into fatty acids, diglycerides and to some small extent into monoglycerides and glycerol.

Fatty acid esters of glycerol are known as fats or lipids. A fat, in its liquid state, is called ‘oil’. Oilseed plants such as castor, groundnut, sunflower, safflower, linseed etc. contain oil as reserve food in their seeds.

It must be noted that a small quantity of free fatty acid is usually present in oils along with the triglycerides. It increases during storage. The free fatty acid content of an oil is called as ‘acid number’ or ‘acid value’. The keeping quality of oil relies upon the free fatty acid content.

During germination of oilseeds, lipases play an important role in hydrolyzing the stored oils to fatty acid and glycerol. Fatty acid is metabolized to acetyl-COA, which may take part in glyoxylate cycle forming sugars from fatty acid involving the enzymes- Isocitritase and Malate Synthetase.

ABSTRACT

Biological lipids are chemically diverse group of compounds. Lipids serve two major biological roles namely a structural one as component of membrane, and storage function, particularly in certain seed tissues. Fats and oils are the principal stored form of energy in many organism, and phospholipids and sterols makeup about half of the mass of biological membranes.

An experiment was conducted to study phospholipids composition qualitatively as well as quantitatively in the roots of mung bean seedlings. Among the four solvents used for phospholipids isolation, solvent II (methanol) and solvent III (chloroform: methanol: NH₃ salt) were proved to be the major phospholipids eluting solvents. The results indicated that Phosphatidyl Choline (PC), Phosphatidyl Inositol (PI), Phosphatidyl Serine (PS), Phosphatidyl Ethanolamine (PE) and Di Phospho Glyceride (DPG) were present in significant amount in the roots of ten days old mung bean seedlings. These phospholipids were also identified by their Rf values using thin layer chromatography. Among all the phospholipids isolated, PI showed the minimum Rf value, whereas PS showed the maximum Rf value. On the basis of column chromatography, four fractions of phospholipids were isolated. The highest amount of phospholipids was found in fraction II and the lowest in fraction I. Fraction II and fraction III contained the maximum phospholipids. In the fraction II PC showed the highest content (μg g-1) and one unidentified phospholipids showed the lowest content (μg g-1), whereas in fraction III, PI showed the maximum content (μg g-1) and PS showed the minimum content (μg g-1).

The importance of lipids have already been elaborated. They play a major role as source of energy and as components of membranes which have implications in plant growth regulation. The complete metabolism of fat leads to oxidation, the final products being CO₂ and water. The burning of one mole of palmitic acid gives 2340 kcal.  The molecular weight of palmitic acid is 256. This works out to approximately 9 kcal/g of palmitic acid. This energy is twice that derived from either sugars or proteins. Fats and oils are thus better and more efficient forms of storage of energy in living beings.

Introduction

The diverse cluster of naturally occurring organic compounds including fats, oils, fatty acids, waxes, phospholipids, eicosanoids, terpenes, steroids and fat soluble vitamins that do not prefer to interact with water but soluble in non-polar organic solvents like ether, chloroform, benzene, acetone, are called as lipids. The main functions of lipids in biological system include storage and transport of metabolic fuel, structural component of cell membranes, insulation & protection of vital organs from shock and carrier of fat soluble vitamins. Contradictory to proteins,lipids are not polymers in nature and are hydrophobic due to presence of a long hydrophobic chain. Apart from this, lipids also act as precursor molecules for several pigments, hormones and signaling molecules.

Introduction

Lipid nanoparticles are composed of macromolecular materials that act as adjuvants in vaccines or drug carriers, in which the drug is either dissolved, entrapped, or encapsulated. Lipid-based nanoparticles (LBNPs) have received a great attention in drug development and cancer treatment. These nanoparticles have minimal or no toxicity and can transport both hydrophobic and hydrophilic molecules and extend the duration of drug action through a prolonged half-life and controlled drug release. Liposomes, solid lipid nanoparticles (SLNs), nanostructured lipid carriers (NLCs), lipid—drug conjugates (LDCs), and lipid nano capsules are the most common types of LNPs (LNCs).

Lipids are a hetrogenous group of substances, widely distributed throughout the plant and animal kingdom. In plants they are present in the seeds nuts and fruits, while in the animals they are stored in adipose tissues, bone marrow and nervous tissues. Lipids are relatively insoluble in water and readily soluble in organic solvents such as ether, chloroform, carbon disulfide, benzene, hot alcohol etc. The term lipid was used by the German biochemist Bloor in 1943 for a major class of tissue components and foodstuffs.

Lipids are non polar substances of biological origin that are sparingly soluble in water, but soluble in organic solvents like chloroform, hexane, benzene etc. The word lipid comes from the Greek word lipos meaning lard or fat. The lipids present in biological systems are either hydrophobic (non polar) or amphipathic (both polar and non polar). Lipids like fats, oils or glycerophospholipids can be hydrolyzed to get fatty acids and other products. Hydrophobic nature is useful in making lipids as membranes which act as effective barriers to more polar molecules. Steroids are also considered lipids, but cannot be hydrolysed and are components of non-saponifiables in fats. Waxes, which are esters of fatty acids with long chain alcohols are also considered as lipids.