eChapters

1. Introduction
Ecosystem Services (ES) are actually the benefits human beings derive from their interaction with nature (Reyers et al., 2013; Ernstson, 2013). Around 400 BC, Plato observed how important service provided to Attica by the forests and subsequent loss of forests lead to drying spring and soil erosion (Mooney and Ehrlich, 1997). Thus, the work of Plato highlights that how the people were even then aware of the critical services provided by nature much before the industrial revolution (Rapidel et al., 2011). These ES are categorised into mainly provisioning, supporting, regulating and cultural services as per the Millennium Ecosystem Assessment (MEA, 2005). In fact, the increasing population warrants more and more set of ES (Biggs et al., 2015). A combination of factors responsible for delivery of ES like geology, climate, ecosystem, management scenarios, society, techniques, skills etc. that led to ES in an agricultural ecosystem (Kroll et al., 2012; Swinton et al., 2007). The ordinary nature largely comprised of agricultural lands (i.e., intensive crops, species poor, artificial pasture) that covers around 37.4% of total Earths’ land surface (FAOSTAT, 2016; Leff et al., 2004). Converting large tract of pristine lands into agricultural land and other competing uses considered to be one of the main reasons for biodiversity loss and land degradation (Tilman et al., 2001). Thus, meeting the challenge of working with limited arable land to feed our population in an eco-friendly manner requires our proper understanding of processes/mechanisms involved in nutrient availability/dynamics including fixation/ release pattern and refining the best management practices (Kumar et al., 2022a). The production of food has been targeted at the cost of other ES like supporting, cultural and non-marketable provisioning services (Muller et al., 2016; Foley et al., 2005; MEA, 2005). There is complex interaction between ecosystem and societal changes in an agricultural landscape. One is intermittently connected to other. Thus, it requires thorough understanding of the processes and biophysical factors that affect ES research, in particular and social-ecosystem, in general (Reed
et al., 2013; Carpenter et al., 2006; Plieninger et al., 2013). The ES that contribute to the agricultural production are mostly linked to aspect of soil fertility, biological control as well as pollination (Bommarco et al., 2013; Duru et al., 2015).

Seed processing efficiency (SPE) is one of the important aspects in seed processing. It will help in measuring the potential of the shop floor. It will also help in standardizing activities like screens and improving physical purity. SPE will help to improve the quality of the seed material and help in utilizing the machines at their optimum capacity. SPE may vary among the different crops and even among the varieties.
 
To quantify SPE we need to pass the test sample (bulk-pre processed) through the target machine and enter the details in a processing register. To quantify the SPE we need to follow these mathematical formulae:

Measurement of soil moisture content is one of the most routinely done soil characterization. Knowledge of soil moisture is essential to understand the behaviour of soil as a medium for plant growth. Moreover, this property of soil helps to explain other processes of the soil. There are several methods of measuring soil moisture content. The most commonly used methods are gravimetric and tensiometric. The standard gravimetric method is quite accurate and simple but is time consuming, cumbersome and destructive. Furthermore, due to relatively small soil samples that are taken, the variability between replicates is great.

Gravimetric Method

Equipment needed includes zip-loc bags or aluminium moisture boxes and soil sampling tools. Soil sampling tools can be a soil probe, auger, or even a post-hole digger. Balance and scale should have accuracy to 0.1 gram. Proper sampling of the field is important to obtain a representative sample of the field. The soil sample should be collected from the field at a minimum of three locations, and the sample locations chosen should represent the entire field. Sampling from the small areas of low spots or ridges that do not represent majority of the field should be avoided. If there are major changes in soil classification within a field, the field should be divided into sub-sites and samples are collected accordingly.

Quantification of DNA is an essential step after its extraction in conjunction with the confirmation of the quality. NanoDrop spectrophometer is a powerful instrument in determining both purity and concentration of nucleic acids on the basis of absorbance values obtained by adding small amount of sample (1-2 μl) on the measurement surface.

Principle: The instrument works on the basic principle of spectrophotometry, which takes highly sensitive fluorescent measurements of the microvolumes. It takes use of microvolume sample retention technology based on surface tension property of the liquid and fibre optic technology. Together, these features make it possible to detect sample even in microlitres, which is much more than the traditional method that need cuvette-sized sample volume. The concentration of nucleic acid sample is normally determined by measuring its absorbance at 260 nm.

Principle

The quantification of infectious virus particles is commonly achieved through the utilisation of the Median Tissue Culture Infectious Dose (TCID50) assay. The assay functions through the introduction of a serial dilution of the virus sample into cells in a 96 well plate format. The chosen cell type is specifically intended to exhibit a cytopathic effect (CPE), which refers to observable changes in morphology or cell death resulting from viral infection. Following a period of incubation, the cells are examined for cytopathic effects or cell death, and each well is categorised as either infected or uninfected. The concentration at which 50% of the wells exhibit a cytopathic effect (CPE) is employed to determine the 50% tissue culture infectious dose (TCID50 ) of the viral sample. The end point is the dose or dilution that infects or kills or shows CPE of the cells. The calculation can be performed using various mathematical techniques, such as the Spearman-Karber method or the Reed Muench method. The virus titer is quantified as the number of tissue culture infectious dose 50 (TCID50 ) per millilitre (ml). The non-cytopathic virus can be quantified by employing the fluorescent antibody test, immune-peroxidase assay, or other appropriate methodologies.

Introduction The onion (Allium cepa) is one of the world's oldest cultivated crops, with a history dating back over 5,000 years (Gorrepati et al., 2014). At present, India is one of the world's largest producers and exporters of onions. At the time, India ranked second in onion production with a yearly production of around 23262 TMT and an average yield of 18.10 MT/ha (Prajapati and Saini, 2019; Horticulture Statistics at a Glance, 2018; Tripathi and Lawande, 2016). Maharashtra, Madhya Pradesh, Karnataka, Gujarat, Rajasthan, Bihar, Andhra Pradesh, Haryana, West Bengal, Uttar Pradesh, Chhattisgarh, Odisha, Tamil Nadu, Jharkhand and Telangana are the major onion producing states in India. Maharashtra alone covers 55-60% of countries total production. Solapur, Satara, Dhule, Jalgoan, Osmanabad, Beed, Latur, Aurangabad are the major onion producing districts in Maharashtra (Tripathi et al., 2005). Unfortunately, India witnessed around 40-50% post-harvest losses of onions every year (Prajapati and Saini, 2019).

Q. 1 An ellipsoidal object has three axes measuring 40 cm, 20 cm and 20 cm respectively. The volume of the object is
(A) 4.23 liters       (B) 8.38 liters
(C) 12.63 liters     (D) 17.05 liters

The undesirable constituents includes the toxicants and other adulterants in the feed which are not suppose to be there in the feed and presence of these substances either make the nutrients of feed less utilizable or even the feed become toxic for consumption by animals. Hence it is very essential to find out the presence and also the amount of that substances on which basis decision may be made that the particular feed stuff or ingredient is safe to be consume by the livestock or that has to be rejected. The common undesirable constituents of the feeds are given below in detail:

To Estimate the DNA Using Diphenylamine

Introduction

DNA estimation is helpful to know about the total amount of DNA of prokaryotic as well as eukaryotic system. One method used for DNA estimation is Diphenylamine assay, is that of Burton who modified the original procedure of Dische. This procedure is based on treatment of nucleic acid with hot perchloric acid to hydrolyze DNA nucleotides. Diphenylamine reacts specifically with deoxyribose in DNA to form a blue-colored complex. Since diphenylamine does not react with ribose, one can assay for DNA in the presence of contaminating RNA.

Principle

The DPA method is based on the colorimetry measurement of products formed by the reaction of ù- hydroxylevulinaldehyde (from the deoxyribose released after depurination of DNA) with diphenylamine in 2.5 N perchloric acid.

When DNA is treated with diphenylamine under acidic condition (PCA) a blue complex is formed with a sharp absorption maximum at 595 nm (600 nm). In acid solution, the straight chain form of the deoxypentose is converted to highly reactive ω – hydroxylevulinaldehyde that reacts with diphenylamine to give blue complex. The reaction yields two mixture of product which together have absorbance maximum at 595 nm (600 nm). Interferences include proteins, lipids, saccharides and RNA. In DNA the only deoxyribose of the purine nucleotides reacts, so that the value obtained represents half of the total deoxyribose present.

Introduction

Biochemistry is branch of life science which deals with the study of chemical reactions occurring in the living cells and organisms. The term biochemistry was first introduced by German chemist Carl Neuberg in 1903. Since biochemistry is associated with the biological reactions and energy changes associated with these reactions or transformations within the living cell, biochemistry may thus be treated as a discipline in which biological phenomenon are analysed in terms of chemistry. The branch of biochemistry for the same reason has been variously named as “Biological Chemistry” or “Chemical Biology”. Modern biochemistry has two branches descriptive and dynamic biochemistry. Descriptive biochemistry deals with qualitative and quantitative characterization of the various chemical components of cell and the dynamic biochemistry deals with the elucidation of the nature and the mechanism of reactions involving these chemical cell components.

Qualitative analysis of biological sample deals with the examination of the organic or inorganic cell associated components in order to determine its composition. It denotes the presence of various biomolecules, elements or groups of elements that are present in the sampling population. It is possible to determine whether a particular component is present or absent in a sample by performing a qualitative analysis of the sample. Qualitative analysis is the identification of elements, species and/or compounds present in a sample.

1. Introduction

The interest in the uses of medicinal plants has grown considerably from the mid of 20^th century with the introduction of phytochemical analysis of natural products from various plants parts (Matos, 1996). Most studies survey specific local communities to examine patterns of use of plant part for treating various aliments along with the influence of economic and social variables on plant use (Albuquerque, 2006). Medicinal plants are the base for the development of new drug, which is the basic mode of survival of human and livestock from many diseases to maintain their healthcare (Uddin et al., 2014). Number of studies has been carried out globally on ethnomedicinal uses of plants among various indigenous communities (Alexiades and Sheldon, 1996; Basualdo et al., 1995; Martin, 1995). Particularly from the region Karbi Anglong, Assam (Teron and Borthakur, 2012, 2013; Terangpiet al., 2014; Teronpi et al., 2015) have also conducted many notable work on ethnomedicinal. While in all these studies qualitative approaches have not been adapted to document ethnobotanical information. The quantitative approaches on ethnobotany have grown steadily in the last two decades. Today researchers have developed and applied quantitative methods to the various ethnobotanical data to test different hypotheses about the relation between plant species and humans (Reyes-García et al., 2006). Quantitative ethnobotanical indices were applied to determine how important these plants are to ethnic and indigenous cultures whether, as food, veterinary medicine, human medicine or economic value from various non-timber forest products (Pieroni, 2001; Upadhyay et al., 2011; Reyes-García et al., 2006). Therefore, the aim of this study was to document the various uses of the medicinal plant Geophila repens (L.) I.M. Johnst by the Karbi tribe and to apply quantitative methods to determine the specific importance of these plants for treating particular ailment. G. repens is a very rare plant with high medicinal potential (Roy et al., 2011) and is global distribution is reported from India (Assam, Meghalaya, Andaman Islands and Western Peninsula); Bangladesh; Bhutan; Sri Lanka; Nepal; Malaysia; South China; Fiji; Tropical America; and Africa.

Introduction

Watershed management has emerged as an important research area in recent years. Understanding the morphology of the catchment is one of the widely used methods for watershed management. Morphometry is the measurement and mathematical analysis of the configuration of the earth’s surface, shape, and dimension of its landforms (Agarwal 1998; Obi Reddy et al., 2002). The study of watershed is very useful in drainage basin evaluation, silt erosion control, flood frequency analysis, watershed prioritization, natural resources management, and conservation (Waikar and Nilawar, 2014). The significance of morphometric analysis is highlighted in the basins that are either un-gauged or difficult to access. The morphometry is usually analyzed through measurement of linear, aerial, relief, gradient of channel network, and contributing ground slope of the basin (Magesh et al., 2012). The hydrological behavior of a basin can be easily determined through the areal parameters (Mahala, 2020.) The evolutionary history of any basin can be best understood through the implication of different relief morphometric measures of drainage basin (Sharma and Sarma, 2013).

GIS and RS techniques are proven convenient methods for morphometric characterization of sub-watersheds and prioritization of watersheds. As the satellite images provide a synoptic view of a large area, the RS and GIS methods become very useful in the analysis of drainage basin morphometry (Rai et al., 2017). Thus, the morphometric analysis using spatial techniques has emerged to be the fast and efficient method as compared to most of the conventional methods (Rao et al., 2010) such as manual extraction of drainage network and assigning the stream order from a published Survey of India topographic map. The present study aims at using remote sensing and GIS technology to compute various parameters of morphometric characteristics of the Chaliyar River basin.

Introduction

Both beneficiary and deleterious microorganisms are present in food. Beneficiary microbes are used for the preparation of a number of dairy and meat products and are called Probiotics, whereas deleterious microbes can cause food poisoning. The quantitative analysis of food products is necessary to find out the presence of types of microorganisms.

Requirements

1. Food sample
2. Mechanical blender
3. Sterilised distilled water
4. Steilised distilled water blanks (9 ml)
5. Petri plates
6. Sterile Pipettes (1 ml)
7. Eiosin Methylene Blue agar medium
8. Incubator
9. Colony counter
10. Marker

Procedure

1. Weigh 1 g of well blended

Quantitative genetics is the study of continuous or quantitative traits and their underlying mechanisms. The main principals of quantitative genetics developed in the 20th century was largely in response to the rediscovery of Mendelian genetics. Mendelian genetics in 1900 centered attention on the inheritance of discrete characters, e.g., smooth vs. wrinkled peas, purple vs. white flowers. This focus was in stark contrast to the branch of genetic analysis by Sir Francis Galton in the 1870’s and 1880’s who focused on characteristics that were continuously variable and thus, not clearly separable into discrete classes. A contentious debate ensued between Mendelians and Biometricians regarding whether discrete characteristics have the same hereditary and evolutionary properties as continuously varying characteristics. I The Mendelians (led by William Bateson) believed that variation in discrete characters drove evolution through mutations with large effects I The Biometricians (led by Karl Pearson and W.F.R. Weldon) viewed evolution to be the result of natural selection acting on continuously distributed characteristics. This eventually led to a fusion of genetics and Charles Darwin’s theory of evolution by natural selection: main principals of quantitative genetics, developed independently by Ronald Fisher (1918) and Sewall Wright (1921), arguable the two most prominent evolutionary biologists.
Interestingly, Galton’s methodological approaches to continuously distributed traits marked the founding of the Biometrical school, which is what many consider to be the birth of modern statistics. Karl Pearson was inspired greatly by Galton, and he went on to develop a number of methods for the analysis of quantitative traits. We will talk more about Galton and Pearson later on in this course. One of the central goals of quantitative genetics is the quantification of the correspondence between phenotypic and genotypic values. It is well accepted that variation in quantitative traits can be attributable to many, possibly interacting, genes whose expression may be sensitive to the environment

Quantitative Traits

• Quantitative traits exhibit a continuum of phenotypic variation that may follow a normal distribution
• Statistical methods are used to evaluate a frequency distribution quantitatively
• Some statistical methods compare two variables with each other

Polygenic Inheritance

Polygenic inheritance and environmental factors create overlaps between genotypes and phenotypes

Polygenic inheritance explains DDT-resistance in Drosophila

Quantitative trait loci (QTLs) are now mapped by linkage to molecular markers

Introduction

Quantification of costs and revenues is necessary to evaluate farm performance in aquaculture at experimental station level. Such calculations aided by economic engineering methods can help in determining the most appropriate package of technologies for different categories of farmers in different geographical locations. The method described below is based on the works of T.V.R. Pillay (Aquaculture: Principles and Practices). The computation of capital cost (initial cost), annual operating cost (variable cost plus fixed cost), and gross revenue (income) shows the performance of aquaculture farms. In this chapter an attempt has been made to illustrate the above mentioned useful fundamental economic indicators along with the computational procedure of assessment of economic feasibility of aquacultural projects which is very important for any entrepreneur.

Introduction

Information Technology (IT) is a relatively-recent gift of Science and Technology for the mankind, revolutionising even the basic perception of people. It is a boon to the ever-growing complexities of life in each sphere. Be it simple household chores to the complex and humanly impossible task of advanced space research, Bioinformatics is the application of Information Technology in the field of bio- or life-sciences. The advantages from this fusion of two sciences are many. Bioinformatics in particular, and information technology revolution in general have been a grace to today’s biological researchers, particularly the groups involved in experiments at micro level, be it microorganisms (such as bacteria) of microbiologists or macromolecules (of micro/nano size, such as DNA/RNA) of geneticists/molecular biologists or the nanotechnologists. For example, computer software package IMPAC (Interactive Modeling Package for Carbohydrates) has its applications in the modeling of 3-D structure of carbohydrates. MYCIN is another package popular amongst medical doctors for diagnosis of bacteriological diseases and to prescribe treatments.

Abstract

Fertilizer inputs are increasing the cost of production in inputintensive crops, so nutrient efficientcultivar is need oftoday. More demands for food by increasing world populations further enhance the importance of nutrient efficient crop cultivars that are higher producers. Breedingtechniques havebeenimplemented significantlyto breed highnutrientefficient crop cultivars to achieve the targets. However, molecular mechanism of nutrient metabolism has been understood to some extent in many crops through quantitative genetic approaches. This minireview outlines an update on recent progress on the genetic approaches of QTL/candidate genes controlling nutrient metabolism pathways in the crop plants.

15.1. Cereals

15.1.1. Oat (Avena sativa)