eChapters

2.1 Introduction

The word Nanotechnology has originated from a Greek word which means “dwarf” and nanometer is one billionth of a meter (1 nm = 10^-9 meter). The nano-scale is not just another step toward miniaturization but a qualitatively new scale. The new behiviour of matter at nano-scale is dominated by quantum mechanics, material confinement, large interfacial volume fraction and other unique properties, phenomenon and processes. At nano-scale, physics, chemistry and biology converge towards the same principles and tools. Nanotechnology cannot be considered as a discipline in science or technology but it is domain in science and technology. Nanotechnology is a multidisciplinary area, any scientist, engineer, medical doctor can do research on nanotechnology. Presently, it is more of a science and less of a technology because of a lack of proper tools for studying the properties of nano-material. There is an immediate need to convert this science into technology and get out of this transition stage.

Conflict represents an inevitable and potentially constructive dimension of community mobilization that emerges when individuals and groups with different interests, values, perspectives, or needs interact in pursuit of shared or competing goals. Rather than viewing conflict as purely destructive or problematic, effective community mobilization requires sophisticated understanding of conflict dynamics and skilled application of management strategies that can transform disagreements into opportunities for learning, innovation, and strengthened relationships that enhance collective capacity and democratic participation. The complexity of contemporary community challenges requires bringing together diverse stakeholders with varying backgrounds, experiences, priorities, and approaches to problem-solving, creating natural conditions for disagreement and tension that must be navigated skillfully to maintain group cohesion while harnessing the creative potential that emerges from diverse perspectives and approaches. Understa

Introduction

Future agricultural production potential is in danger due to the existing cropping system, characterized by irresponsible chemical utilization, extensive tillage, monoculture, and soil health degradation. Consequently, a significant challenge for modern agriculture lies in ensuring adequate nourishment for the entire world’s population while also safeguarding the environment. The intensification of agricultural practices negatively impacts vital natural resources like soil, water, air, and biodiversity throughout various developmental stages. While the conventional cropping system have enhanced crop productivity, its consequences including land degradation, resource depletion, reduced organic matter insoil, draught, soil salinity, erosion, and climate change pose significant global threats (Tomar et al. 2014; Yadav et al. 2014; Mandal et al. 2020; Rani et al. 2021).

1. Introduction
 Laboratories form the backbone of research, clinical diagnostics and industrial quality control. Good Laboratory Practices (GLP) serve as the foundation for ensuring the quality, integrity, and reliability of scientific research, particularly in different pharmaceuticals drug testing, environmental studies and chemical testing. Good Laboratory Practices (GLP) in animal husbandry and dairy research play a crucial role in ensuring the accuracy and reproducibility of scientific studies related to livestock management, dairy production animal health and promoting animal welfare. Originally developed to prevent fraud and ensure regulatory compliance, GLP has evolved in response to advancements in technology, increased regulatory demands and the growing human and animals need for sustainability in laboratory operations. Laboratory settings are inherently fluid, with regulatory frameworks and technological progress constantly reshaping the environment. Studies indicate that even minor lapses in quality control can trigger significant inconsistencies in test results, outcomes that can have serious repercussions in both clinical and research domains. Therefore, cultivating a philosophy of ongoing improvement is crucial for addressing these evolving challenges, meeting the rising demand for safe, superior dairy products and embracing innovation. This article, synthesize the latest research findings and guidelines, delve into trusted best practices and outline practical strategies for embedding continuous improvement into everyday laboratory operations. A study published in the Journal of Laboratory Quality demonstrated that the adoption of structured quality indicators significantly minimized error rates and bolstered patient safety in clinical laboratories. Their research also provided a comparative analysis of different continuous improvement strategies, including the Plan-Do-Check-Act (PDCA) cycle and Lean Six Sigma, highlighting their respective benefits in lab environments. Based on these insights, the authors advocate for a comprehensive quality management system that seamlessly integrates automation, comprehensive staff training and routine audits to enhance process efficiency. Ultimately, the findings underscore that continuous improvement is an enduring journey, one that evolves along with advances in science, technology and regulatory standards.

Correlation and regression are essential statistical tools for examining relationships among climate variables and agricultural responses. Correlation measures the strength and direction of association, while regression develops mathematical relationships for explanation and prediction. This chapter discusses their application to rainfall, temperature, humidity, evapotranspiration, crop growth and yield. It explains simple and multiple relationships, assumptions, interpretation, model fitting, predictive power and potential errors. These methods support crop-weather modelling, yield forecasting, climate-impact assessment and agricultural decision-making. By identifying how climatic variables influence biological and production processes, correlation and regression analysis help researchers generate reliable predictions and design more resilient and productive agricultural management strategies under changing environmental conditions.

Cost estimation is a critical step in the planning and implementation of conservation structures, providing a foundation for project approval, budgeting, and economic evaluation. For drop spillways—hydraulic structures used in soil and water conservation—the process involves calculating all expenses associated with materials, labor, and ancillary charges.
Drop spillways are engineered to safely transport excess runoff from higher elevations to lower ground levels, preventing erosion and structural degradation. Commonly used in agricultural watersheds, these structures play a vital role in controlling gully erosion, managing stormwater, and maintaining land productivity.
Accurate cost estimation includes:
• Quantifying construction materials such as concrete, masonry, reinforcement bars, and pipe outlets.
• Calculating labor costs based on the skilled and unskilled labor required for excavation, form, and structural assembly.
• Adding overhead charges, including land revenue, administrative costs, and potential audit expenses.
A detailed cost estimate ensures that the project remains within budget while meeting safety, durability, and environmental standards. It also aids in comparing alternatives and securing funding or approvals from governing agencies.
COMPONENTS OF A DROP SPILLWAY
Estimating the cost of different conservation structures involves analyzing both material and labor expenses specific to each type of structure. This process plays a vital role in project approval and economic assessment. It includes calculating material quantities, labor charges, and additional costs such as audit fees and land revenue.

5.1. Cost concepts

Cost refers to the money value of effort extended or sacrifice made in producing an article or rendering a service or achieving a specific purpose.

Expenses incurred in organizing and carrying out production process.

Includes outlays of funds for inputs and services.

Total costs: Money value of all inputs used in the production process.

Counselling represents a purposeful, collaborative relationship between a trained professional and an individual seeking assistance with personal, emotional, psychological, or behavioral concerns. This helping relationship is founded on principles of trust, confidentiality, and mutual respect, creating a safe environment where individuals can explore their thoughts, feelings, and experiences without judgment. The American Counseling Association defines counselling as a professional relationship that empowers diverse individuals, families, and groups to accomplish mental health, wellness, education, and career goals. This definition emphasizes the empowerment aspect of counselling, highlighting its role in facilitating personal growth and development rather than simply addressing problems or deficits. The fundamental nature of counselling involves a systematic p

3.1. Conventional farming

Refers to the use of synthetic chemical fertilizers, pesticides, herbicides and other continual inputs, genetically modified organisms, heavy irrigation, intensive tillage and concentrated monoculture production.

Highly resource and energy intensive, but also highly productive.

Conventional farming typically involves monocropping, but very expensive.

7.1. Crop insurance

Helps in stabilization of farm production and income of farming community.

Helps in optimal allocation of resources in production process.

Crop insurance is sold and bought in a market.

Has a limited role in risk management in farming.

Any limitations to scope for effective and economic crop insurance can change over time.

Introduction

India is bestowed with diverse agro-climatic conditions which favour the production of a variety of fruit crops. At present India is second largest producer of fruits in the world after China. Fruit culture can be highly profitable by increasing employment opportunities and commercialization of the rural sector. During early sixties, priority was to achieving self sufficiency in food grain production in our country, however, over the years, fruit culture has emerged as an indispensable part of agriculture, offering a wide range of choices to the farmers for crop diversification. It also provides ample opportunities for sustaining large number of agro-industries to generate substantial employment opportunities (Bardhan, 2016). Amongst various tropical and sub-tropical fruit crops grown in India, guava, pomegranate, acid lime, sweet orange and mandarins, if left on its own, give several light crops of the variable quantities and qualities from the various flowering flushes throughout the year. Under natural conditions, these crops produce flowers thrice in a year i.e. February-March (Ambe Bahar), June-July (Mrig Bahar) and October-November (Hasth Bahar) with the corresponding harvest during rainy, winter and spring season, respectively (Boora et al., 2016, Lal et al., 2017). Owing to this, potential yield is not obtained during the desired period. Therefore, to obtain higher fruit yield during a particular period, these fruit crops are given a resting period with artificial means so that the natural flowering tendency of the trees is altered. It can be achieved through root exposure and its pruning (Boora et al., 2016), shoot pruning (Tiwari et al., 1992, Thakre et al., 2016)

Large quantities of crop residues are produced and if properly used, they can provide cost effective means for supplying organic matter, plant nutrients and improved soil health. The highly lignocellulosic nature of crop residues indicate their potential role in maintaining soil organic matter and enriching the soils with N-rich microbial biomass resulting from decompositions. However, their indiscriminate handling often burning leads to decline in soil health, air pollution and overall loss. Since most crop residues find use as feed and fuel, efficient recycling of the remaining amount can have very significant and positive effect.

1.1. Cropping pattern

Yearly sequence and spatial arrangement of crops or crops and fallow on a given area.

1.2. Cropping seasons in India

1.2.1. Kharif season: Southwest monsoon

Crops - Rice, cotton, jute, jowar (sorghum), bajra (pearl millet) and redgram (Pigeon pea).

Rainfed farming has a distinct place in the Indian agriculture, occupying 67 % of cultivated area contributing 44 % of food grains to our national food basket, supporting 40% of human and 65% of livestock population. The system is characterized by resource poor farmers, poor infrastructure and low investment in technology inputs. Even when full irrigation potential of the country is realized, 50% of the net sown area is continued to be rainfed. The important problems encountered in rainfed areas are unfavorable weather, limited choice of crops and varieties, low cropping intensity and unstable productivity. The research work done by the net work of AICRPDA (All India Co-ordinate Research Project for Dryland areas) centres and SAUs (State Agricultutal Universities) indicated that the production in rainfed environment could be enhanced by 200 % compared to the productivity of farmers’ field by adopting improved cropping systems and agro techniques.

Applied agroclimatology integrates climatology with agronomy to understand and manage interactions between weather, climate, crops, soils and agricultural resources. It converts climatic observations and forecasts into practical information for sowing, irrigation, fertilizer application, pest management and harvesting. This chapter introduces agro-meteorological processes, crop-environment relationships, resource management and climate-smart decision-making. It explains how increasing temperatures, altered rainfall, droughts, floods and extreme weather threaten agricultural productivity and farmer livelihoods. Agroclimatic zoning, crop-calendar adjustment, suitable variety selection, early-warning systems and weather-based insurance are discussed as important approaches for strengthening food security, managing climate risks and developing resilient agricultural systems.

Introduction

Climate change has become one of the biggest challenges for the sustainable crop production. Prolonged droughts and desertification are among the issues faced by Indian hot arid zone where the rural poor and smallholders are most heavily affected. If people are to survive in these ever harsher conditions, their crops need to withstand drought, high temperatures and poor soils. Cactus crops are gaining increasing interest across the globe, in particular cactus pear or prickly pear {Opuntia ficus indica (L) Mill.} because of its unique characteristics which provide resilience to the harsh ecological conditions. Cactus pear is able to grow on land where no other crops are able to grow; it can be used to restore degraded land. It is the only crop that can be relied on when everything else fails. Cactus pear is grouped as CAM plant (Crassulacean Acid Metabolism), a photosynthesis mechanism evolved in some plants as an adaptation to arid conditions. In a plant using full CAM, the stomata in the leaves remain shut during the day to reduce evapotranspiration, but open at night to collect carbon dioxide (CO₂).

The integration of bioinoculants and nanoparticles presents a promising strategy for enhancing sustainable agricultural practices, yet significant challenges impede their widespread adoption. Limited awareness among farmers regarding the benefits and applications of these technologies is a critical barrier, emphasizing the need for targeted educational initiatives. Additionally, the high cost of nanoparticle and bioinoculant formulations restricts accessibility, particularly for small-scale farmers. Standardization and quality control protocols are crucial to ensure consistent efficacy, as variability in bioinoculant formulations can compromise their effectiveness. Regulatory frameworks remain complex, further hindering commercialization and large-scale implementation. Environmental concerns are also prevalent, given the potential toxicity of nanoparticles like zinc oxide and silver nanoparticles, which may disrupt soil microbial communities. Despite these challenges, future prospects for bioinoculants and nanoparticles are promising. Integrating these technologies into sustainable farming practices can reduce the reliance on synthetic fertilizers and pesticides, as seen in the use of Azospirillum brasilense encapsulated in chitosan nanoparticles to enhance drought tolerance in maize. Furthermore, the application of Pseudomonas putida encapsulated in alginate nanoparticles has effectively mitigated heavy metal stress in tomato plants. Precision agriculture, employing data analytics and remote sensing, can optimize the targeted delivery of bioinoculants and nanoparticles, maximizing crop productivity and nutrient uptake. However, comprehensive in vivo studies are essential to assess long-term efficacy and environmental impact under field conditions. Future research should focus on developing ecofriendly nanomaterials, refining controlled-release systems, and conducting

This chapter deals with data importing, exporting and data manipulations in R. R can import almost all kinds of data format. The basic data format of .txt and .csv and data from other softwares like MS office .xls and .xlsx, spss ……, stata ……., etc. however, we will discuss in this chapter to read and write the basic formats and the .xlsx data which we use the most. Further, we will also discuss the basic data manipulations. For a detailed reading on data manipulation, readers can refer to the first book of the series namely “Data Handling and Manipulation in R”.
2.1. Primary Spectral Data Processing
The original spectra consisting of relative reflectance values of 2151 points (at 1 nm interval) between 350 and 2500 nm were averaged at every tenth-nanometer wavelength interval from 360 to 2490 nm by integration technique. Thus, the new spectra contained reflectance values at 360, 370, 380, 2490 nm, are inclusive. For example, the new reflectance value for 360 nm represented an integrated value of the original reflectance values from 356 to 365 nm, inclusive. Similarly, the reflectance at 400 nm was an integrated reflectance values from 396 to 405 nm, while the reflectance at 2490 nm was an integrated value of reflectance from 2486 to 2495 nm. This was done to reduce the volume of data for analysis and to match it more closely to the spectral resolution of the instrument (3 to 10 nm). This procedure resulted in a new dataset, with reflectance values specified for 214 wavelengths for all samples, which were further processed for noise removal.
2.2. Importing Data in R
We can rerad many format of tabular data in R such as excel, text, csv, etc. In thid book we will be using the csv format. Before reading the data, arrange data in excel/CSV sheet so that spectral data in column is followed by chemical data/ lab data. This will ensure that if any soil property or properties added in next column there is no need to change code for selection of spectral data in R environment.

Introduction

The first step of geostatistical analysis in R is the creation of dataset which is acceptable in R environment by using the data collected from field survey or laboratory experiments. Different type of data is collected during experiments e.g. sand content, silt content, organic carbon content, geographical location of data points, soil type, land use type etc. Here, we will discuss how these data are converted into a acceptable dataset format for R environment and how we manage these data. In R this task is performed in two steps. First, a data structure is created to hold the data and second is the entering or exporting the data into data structure.

Introduction

Date palm (Phoenix dactylifera L.; Family- Arecaceae) also known as Khajoor, Kharek is an ancient important fruit tree of semi-arid and arid regions of the world. It grows well under poor desertic soils due to its hardy plant characteristics and deep root system. It is also suitable fruit trees for growing under saline irrigation conditions. It is well known fact for date palm that its feet in the water and its head in sun. It requires dry hot climate for growth and development of fruits. In arid region, crop production is risky preposition, where date palm cultivation contributes in achieving food security, high nutritive value food, crop diversification, desertification control, higher income generation and foreign exchange earnings. It can be grown at such places where adequate irrigation facility is available besides other dry hot climate conditions (Chandra et al, 1992; Singh and Dhandar, 2007). Better returns from date plantation can be achieved through good management practices besides adequate marketing of produce. The quality produce and its marketing will help to increase the income from date palm cultivation.

Soil Organic Matter

Soil organic matter plays an important role in the maintenance and improvement of soil properties. It is a dynamic material and is one of the major sources of nutrient elements for plants. Soil organic matter is derived to a large extent from residues and remains of the plants together with the small quantities of animal remains excreta, and microbial tissues. Soil organic matter is composed of three major components i.e. plant residues, animal remains and dead remains of microorganisms. Soil organic matter comprises residues of plants and animals and these compounds occur in soil in close combination with inorganic substances. Animals and plant residues are made up of complex carbohydrates, simple sugars, starch, cellulose, hemicellulose, pectins, gums, mucilage, proteins fats, oils, waxes, resins, alcohols, aldehydes, ketones, organic acids, lignin, phenols, tannins, hydrocarbons, alkaloids, pigments, etc.

The organic matter subjected to microbial decay in the soil comes from several sources like plant remains, forest litter, incorporation of plant tissues, animal tissues, and excretory products. The chemistry of organic matter is very complex, and investigations of the transformations and the responsible organisms have therefore been extremely interesting. The organic constituents of the plants are commonly divided into six categories.

Soil organic matter is among the most complex materials existing in nature. In addition to the organic constituents present in undecayed plant and animal tissues, soil organic matter contains living and dead microbial cells, microbially synthesized compounds and an endless array of derivatives of these materials produced as the result of microbial activity. Soil organic matter probably contains most of the naturally occurring organic compounds. Some components of soil organic matter are no doubt distinctive to the soil environment, particularly those involving inorganic-organic complexes.

6.1. Composition of Soil Organic Matter

The composition of soil organic fraction is as follows:

1. Components of organic residues undergoing decomposition

Deep learning emerged as a serious contender in the field from a 10-year explosive computational development. Deep learning is therefore a special form of machine learning, the algorithms of which are based on the structure and function of the human brain.

Machine learning VS Deep learning

Deep learning is arguably the most efficient form of machine learning. This is so important because they know the best way to solve the problem and how to fix everything. The following is a description of deep learning and machine Learning:

Biological activity or index of a soil is the function of number of organisms present in soil and their physiological efficiency. The rate of respiration can be used as an index of the biological activity of soil as it reflects the physiological efficiency of the organisms. Monitoring of dehydrogenase, which are respiratory enzymes and integral part of all soil organisms, will give a measure of biological activity of soil at a given time.

During respiration biological oxidation of reduced compounds occur which is catalyzed by dehydrogenase. In the process TTC gets reduced to a pink coloured compound Triphenyl formazan (TPF) which can be quantitatively extracted by methanol and measured colorimeterically. The soil dehydrogenase activity in the current experiment was measured as per the methods of Cassida, (1977).

3.1 Determination of Bulk Density of Soil

3.1.1 Determination of Bulk Density of an undisturbed Soil

Bulk density of soil is expressed as the ratio of the mass (weight) of soil particle to their total volume including the pore space between the soil particles. Alternately, it is the weight of unit volume of dry soil. It is usually expressed in the unit of gram per cubic centimeter (g/cc) or mega gram per cubic meter (Mg/m³). In fine textured soil bulk density varies from 1.00 to 1.60 g/cc, whereas in coarse textured soil from 1.20 to 1.80 g/cc.

3.1. Determination of Bulk Density of Soil

3.1.1. Determination of Bulk Density of an Undisturbed Soil

Bulk density of soil is expressed as the ratio of the mass (weight) of soil particle to their total volume including the pore space between the soil particles. Alternately, it is the weight of unit volume of dry soil. It is usually expressed in the unit of gram per cubic centimeter (g/cc) or mega gram per cubic meter (Mg/m³). In fine textured soil bulk density varies from 1.00 to 1.60 g/cc, whereas in coarse textured soil from 1.20 to 1.80 g/cc.

Introduction

Flowering plants (Angiosperms) are identified by their morphological characteristics like flower, fruit and seeds that help their taxonomic characterization into different species, genera, families and orders. The floral characters which are used for taxonomic characterization of plants include the type of inflorescences, perianth structure, floral symmetry, arrangement of floral leaves, type of androecium, stamens, gynoecium, carpel, ovule, etc. The type of fruit and seed also play important roles in taxonomic classification. In this chapter we will briefly discuss about various morphological features of flowering plants (in botanical terms) that are useful in taxonomy.

Nomenclature of Plant

Nomenclature of plant is the formal and scientific naming of plants. It is related to but distinct from taxonomy for grouping and classifying plants and provide botanical name.

The scientific/botanical nomenclature started with Species Plantarum by Carolus Linnaeus in 1753. Botanical nomenclature is governed by the International Code of Nomenclature for algae, fungi, and plants (ICN), which replaces the International Code of Botanical Nomenclature (ICBN).

ICBN and ICN

International Code of Botanical Nomenclature, (ICBN) was adopted by the VIIth International Botanical Congress held in Stockholm, July1950. While the International Code of Nomenclature for algae, fungi, and plants (ICN) was adopted by the XVIIIth International Botanical Congress held in Melbourne, Australia in July 2011.

Introduction

Desert soils are the soils of arid regions that remain dry for most part of the year and support sparse xerophytes. The amount of water received by precipitation is far less than what is lost by evapotranspiration. Most deserts receive an average precipitation of less than 400 mm. Because of extreme imbalance between evapotranspiration and precipitation, many desert soils contain salts.

Distribution

Deserts occupy about one-third of the areas of Africa and Australia, 11% of Asia and about 8% of the Americas (Boul et al. 1997). Desert soils include both cold and hot desert. In India, desert soils occur in three agro-ecological regions (AER). The cold arid desert of extreme north (Leh, Ladakh region of Jammu & Kashmir ), the hot arid desert of north western India (Rajasthan, southern parts of Haryana and Punjab and northern parts of Gujarat) and the tropical arid desert of the Deccan plateau in South India represents AER 1, 2 and 3, respectively. The three different desert regions in India have characteristic climatic and soil conditions.

Concept and Definition

Desertification is a major problem in the drylands of India, affecting the way of life for its inhabitants. The problem is more severe in the arid lands in the northwestern part of the country. There have been a few numbers of definitions of the word “Desertification”. However for simplicity of its origin and meaning we would refer to two of the frequently used ones; (1) proposed in 1991 by UNEP: “Land degradation in arid, semi-arid and dry sub-humid areas resulting mainly from adverse human impact and (2) prepared for the Earth Summit at Rio, held in June 1992, for inclusion in Agenda 21, as “Land degradation in arid, semi-arid and dry sub-humid areas resulting from climatic variations and human activities. (Anonymous 1992).

Comparing two of these initial definitions, it would show that first one indicated desertification as a state of natural resources like soil and vegetation, mainly resulting from human activity while the second one included climate as a major cause. However, it reduced the emphasis of human activities as being the primary responsible factor and tried to link the possible impact of climate change on desertification. But the simplicity of the 1992 definition of desertification helped researchers to bring in sharp focus on the special environmental and socio-economic problems of the drylands.

So over the years, the key words that explains the term “desertification” has been changing or are being amended for specific purposes. This would at least mean that the problem of desertification is still debated world-wide, and its impact is not limited to some nations/regions as was presumed and discussed in first of UNCCD platforms. Therefore, as a precaution and combating this process, few catchy words like non-sustainable management, productivity, over-exploitation of natural resources, dryland livelihood, droughts are found to surround the word desertification. Earlier, some, people equated desertification with advancing boundaries of the existing desert and in India, examples of expansion / contraction of geographical boundary of Thar desert was a public debate among various researchers and planners. In the same time, some of the definitions tried to broaden its geographical scope so that greater populations suffering from adverse effects of land degradation would benefit out of various remedial measures.

Designing an earthen dam requires the coordinated evaluation of catchment runoff, reservoir capacity, site conditions, foundation properties, expected service life, and the consequences of failure. A selected return period is used to estimate extreme rainfall and runoff, while adequate spillway capacity and freeboard protect the embankment against overtopping. The dam must possess low permeability, stable upstream and downstream slopes, and sufficient resistance to seepage, settlement, erosion, and earthquake forces. This chapter presents design criteria, top width, dam height, side slopes, freeboard, seepage-control components, slope-protection measures, and stability considerations. It also explains procedures needed to create a safe, economical, and functional embankment.

Radiation emitted from the radioactive isotopes can be detected and quantified by using several equipments and the details are furnished below:

A. Radiation Detection Devices

1. Electroscope

The electroscope is a simple device comprised of a metal rod with two thin leaves attached to one end. If the electroscope is given a negative charge, the metal leaves will separate from each other. It is the characteristic that makes the electroscope useful as a detection device. A negatively charged electroscope will discharge when ions in the air remove electrons from it, and consequently, a positively charged electroscope will discharge when it takes electrons from the air around it. The rate of discharge of the electroscope is a measure of ions in the air and can be used as a basis of measurement and detection.

Introduction

Spoilage in agricultural products due to mould growth can occur at various stages of production and storage and is significant in terms of trade economics, food safety and public health (Shephard, 2008). It has been reported that 5–10 % of agricultural products in the world are spoiled by mould contamination to the extent that they cannot be consumed by humans or animals. Mould growth decreases the quality of food and also creates a potential risk for human health because of the production of toxic secondary metabolites known as “mycotoxins”. Foods contaminated by mycotoxins, when consumed by humans and animals causes a disease called “mycotoxicosis”, resulting in death (Wagacha and Muthomi, 2008).

A detention reservoir temporarily stores storm runoff and releases it gradually at a controlled rate, thereby reducing the peak discharge reaching downstream channels and communities. Unlike a conventional conservation reservoir, its principal function is short-term flood moderation rather than permanent water storage. Its performance depends on basin capacity, inlet and outlet arrangements, catchment response, design storm, allowable downstream discharge, and available drawdown time. This chapter explains the concept, purposes, and functioning of detention reservoirs and distinguishes them from ordinary storage reservoirs. It covers their classifications, site requirements, storage estimation, outlet design, routing principles, benefits, limitations, maintenance, and application in rural watersheds, urban drainage systems, and integrated flood-control programmes.

Boron occurs as anion in soils and isrequired by plants in very small quantity. Water soluble B makes the estimate of its availability to plants. Total boron in soils varies from 20 to 200 mg kg^-1 and available (water soluble) boron in soils ranges from 0.03 to 12 mg kg^-1 respectively. The threshold value ranging from 0.1 to 0.5 mg kg^-1 (water soluble B) depends upon the soil type, crops, and other factors, below which the response to applied boron may be expected. Its availability is affected by soil pH as under:

Soluble chloride (Cl) concentration in the extract is determined by silver nitrate titration. This method quantifies the concentration of Cl (meq/L) in the saturation paste extract. Chloride may be determined using anion selective electrode (potentiometric). Plant tolerance to Cl can be related to its concentration in the soil saturation paste extract. The method detection limit is approximately 0.1 meq/L, dependent on the method of analysis, and is generally reproducible within ± 10 %.

Apparatus Required

Burette, pipette, conical flask and mechanical shaker etc

Diethylene tetramine penta acetic acid (DTPA) being a chelating agent is used in the determination of available Fe, Mn, Cu and Zn. When the soil is shaken with a solution of DTPA, it combines with metal ions in the solution and form soluble complexes of Fe++, Mn++, Cu++ and Zn++. The CaCl2 and triethanolamine (TEA) solution slightly raise and buffer the soil pH and mitigates the effect of Ca++ and Mg++.

[Alkaline Permanganate / Subbiah and Asija (1956) Method]

Introduction

Nitrogen (N) is found in the arable horizon of the soil, mostly in organic material. In the soil solution, organic N is gradually transformed into ammoniacal (NH₄ ⁺), nitrite (NO₂ ^–) and nitrate (NO₃ ^–) nitrogen by microbial processes. Organic-N is, in itself, of very little use to plants, as it can not be absorbed as such. It is, therefore, necessary to estimate the different forms of mineralized or available N. The NO₃ ^–_N and NO₂ ^–-N together, hardly, exceed 1 % of the total N in normal soil.

The available N in soil refers to a fraction of the total N which is converted into forms accessible to the plants. This constitutes, on an average, only 0.5-2.5 % (rarely 5 %) of the total N in a soil at any given time. Nitrogen is, generally, absorbed by plants as NO₃ ^–, under oxidized environment (upland condition), and as NH₄ ⁺, under reduced condition. NO₂ ^– is sometimes, detectable, but the amount is, generally, very small vis-a-vis NH₄ ⁺ or NO₃ ^– and, hence does not warrant its determination. The sum total of NH₄ ⁺ and NO₃ ^–- N is smaller than the total N, which becomes available to plants and the difference being attributed to the mineralization of the organic N, during the crop growth cycle.

The Kjeldahl method is mainly divided into three main steps. This method needs to be carried out in proper sequence. 

The major part of soil nitrogen exists in complex combination in the organic compounds. It becomes available to plants after breakdown to simple form followed by mineralization. The chemical methods for determination of soil nitrogen availability involve either direct or indirect of total nitrogen or measurement of a fraction of easily hydrosable nitrogen by employing solution of dilute acid or alkali. Distillation of alkaline potassium permanganate solution has often been adopted for estimating the ox disable and reactive form of soil nitrogen. The available nitrogen in soil is determined by alkaline permanganate method as per procedure suggested by Subbiah and Asija (1956).

Principle

A known weight of the soil is mixed with alkaline potassium permanganate (KMnO₄) solution and distilled. The organic matter present in soil is oxidized by the nascent oxygen, liberated by potassium permanganate, in the presence of sodium hydroxide and the released ammonia is condensed and absorbed in known volume of a boric acid with mix indicator to form ammonium borate, the excess of which is titrated with a standard sulphuric acid.

In Bray’s method a mixture of ammonium fluoride and hydrochloric acid (NH4F + HCl) act as the extracting agent. It works in two ways, firstly, the hydrogen ions from HCl have a solubilising effect, especially on Ca-P, which makes phosphate get extracted. Secondly, the fluoride ions (from ammonium fluoride) complex with the Al3+ and Fe3+ ions, thereby releasing the Al and Fe bound phosphorous into the extract.

Olsen P were found to bear a quadratic relationship, with Olsen’s extractant underestimating the content in phytoavailable P of soils with high Olsen P contents relatively to soils with low contents. The ‘‘change point’’ at which phytoavailable P began to increase rapidly per unit change in Olsen P was 53 mg Olsen P kg–1 soil. For the acid soils, a significant quadratic relationship was found between the amount of P desorbed to water and Olsen P at the three soil:solution ratios studied.

The term available phosphorus (P) refers to the inorganic form, occurring in soil solution, which is almost exclusively ‘orthophosphate’. The available P is considered to be a fairly good indicator/measure of the P supplying capacity of a soil. A knowledge of available P content of soils is important for determining its critical limit , based on soil-test-crop response calibration study.

Principle

In soil, phosphorus exists in the form of various types of orthophosphates. A very small fraction of these is available to plants at a given time. Available phosphorus content of soil consists mainly of Ca-P, Al-P and Fe-P. In the neutral and alkaline soils particularly, Ca-P is the dominant fraction. Organic –P fraction is also considerable amount, but is usually not include in the determination of available phosphorus. A large number of extractions, buffer solutions, acids and chelating agents have been suggested for available phosphorus from time to time. However, no single extractant appears to be suitable for all types of soils. Two types of extraction methods are more popularly adopted. Under acidic soil conditions, Bray No.1, which involves soil extraction with a solution consisting of 0.003 N NH₄F and 0.025 N HCl is widely followed. The fluoride complexes Al and Fe in soil, thus releasing some bound p besides the easily acid soluble P (largely Ca-P). This extraction is suitable for soils containing less than 2% calcite or dolomite because in calcareous soils, carbonates quickly neutralize the acid, resulting in less extraction of P.

Potassium is extracted from the soil with the help of suitable extractant CH3COONH4 by shacking followed by filtration or centrifugation & is determined in the extract using flame photometer. The analysis photometer is based on the measurement of the intensity of characteristic lime emission given by the element to be determined .

The total potassium content (K) of a soil varies from 0.05 to 2.5%. The total K is distributed in mineral form (90-98%), fixed non-exchangeable (1-10%) and exchangeable plus water soluble K(1-2). Exchangeable K represents an average of 2-15% of the sum of exchangeable bases and 1-3% of the total capacity of cationic exchange.

Principle

It is based on the principle of the equilibrium of the soils with an exchangeable cation mode of the solution of neutral ammonium acetate, in a given soil:solution ratio. During the equilibrium, ammonium ions exchange with the exchangeable K ions of soil.The K content in the equilibrium solution is estimated with a flame photometer.

Soil is shaken with 0.15 % CaCl2 solution. Chloride ions displace adsorbed sulphate during extraction. Calcium ions suppress the extraction of soil organic matter and hence eliminate the contamination caused by extractable organic S.

Soil is shaken with 0.15 % CaCl2 solution. Chloride ions displace adsorbed sulphate during extraction. Calcium ions suppress the extraction of soil organic matter and hence eliminate the contamination caused by extractable organic S.

Sulphur (S) occurs in different forms in soil viz., sulphites, sulphates , sulphides and in organic compounds. Plants absorb S in the form of sulphate(SO₄ ^2-) . The organic forms of S compounds become assimilable, especially following microbiological transformation into SO₄ ^2-. The mineralization of organic sulphur in a soil depends primarily upon the N:S ratio and any SO₄ ^2- formed may be fixed against extraction, particularly if much Fe and Ba is present or if soil is very acidic.

Principle

Beside some amount in the soil solution, available sulphur in mineral soils occurs mainly as adsorbed SO₄ ^2- ions. Both CaCl₂ and phosphate solutions (as monocalcium phosphate) are generally used for replacement of the adsorbed SO₄ ^2- ions. Use of Ca salts have a distinct advantage over those of Na or Na, as Ca prevents deflocculating in heavy textured soils and leads to easy filtration. SO₄ ^2- in the extract can be estimated turbid metrically using a spectrophotometer. Sulphur in the extract can also be measured by colorimetric method using barium chromate but the turbimertic method given below is mainly used in the soil testing laboratories.