eChapters

In India, Floriculture is one of the ancient farming activity having great potential for generating employment to the small and marginal farmers. In the Indian flower market the domestic demand is up-surging at a rate of over 25% and the global cut flower market is approximately to be valued at USD 36.4 billion in 2022 but the share of India in international market of flowers is very less. Floriculture industry in India is still in the infancy stage and facing many problems. These issues are discussed in detail as below.

Technological Issues

Lack of improved new variety or cultivars. There are very few commercially available varieties released and available in our country with export potential. The thrust in floricultural research till recently had been on crop improvement, which include standardization of agro-technology improved method of propagation, pest and diseases control and post harvest management. The major nurseries of our country still depend on developed countries like Europe for internationally acceptable variety of major flowers. To achieve sustainability, there is intense need of breeding research programme specifically on floriculture to release new varieties with export potential of major commercially important f lowers.

Introduction

The interest in technology transfer traces back to the colonial era, which began by disseminating knowledge about the core industries of mining, plantations, and agriculture, which was seven decades ago. Technology has had a significant impact on human development and life growth throughout history. People’s life are constantly changing due of technology, whether or not they are ready for it. There has been so much change brought about by technology, and it has occurred at such a rapid pace that many times people lose their capacity to handle it successfully and pleasantly. In this scenario, more ideas are being created in the smaller globe, and technology’s residence time is getting much shorter.

TRANSFER

A transfer is a change in job assignment. It may involve a promotion or demotion or no change at all in responsibility and status. It is a change in assignment in which the employee moves to another job at approximately the same level of responsibility, the same skill, the level of pay. Transfer is to be distinguished from promotion and demotion which imply an ascending or descending change respectively, in the hierarchy of positions. A transfer may be either temporary or permanent, depending upon the need, and may occur within a department, between departments and divisions, or between plants or officers within a company/organization.

After preparing the desired DNA molecule using E.coli, the plasmid can be transferred into Agrobacterium by this method. Efficiency is low (~10³ transformants per mg of DNA) but the method is reliable and very rapid. This method also eliminates much of the plasmid rearrangement that occurs during triparental mating.

Procedure

Grow an Agribacterium strain containing an appropriate helper Ti plasmid in 5 ml of LB medium 16 hours at 28ºC.

Add 2 ml of the culture to 50 ml LB medium in a 250 ml flask and shake (~250 RPM) at 28ºC until an OD₆₀₀ of 0.5 to 1.0 is obtained.

Chill the culture on ice. Centrifuge the cell suspension at 1000 g for 30 minutes at 4ºC.

Discard the supernatant. Resuspend the cells in 1 ml of 20 mM CaCl₂ (ice cold). Dispense 100 mL aliquots into pre-chilled 1.5 ml tubes.

Add about 1 µg of the desired plasmid DNA (pure or crude) to the cells in each tube.

This is a procedure for transforming bacterial cells with circular DNA plasmids containing an origin of autonomous DNA replication and a selective marker (antibiotic resistance). Logarithmically growing cells are made permeable to DNA by incubation in CaCl2 and the DNA is taken up from the surrounding buffer.

Transformation

The uptake of DNA by competent cells is called transformation. Transformation involves:

Mix a small volume of DNA (usually 1-3 µl) with 100 µl of competent cells.

The mixture is incubated on ice for 30 minutes to allow the cells to take up the DNA.

The cells are then heat-shocked at 37 to 42°C for 1 minute, and cold shocked on ice for 2 minutes.

The heat shock/cold shock reverses the effect of the competent cell process, by healing the damage inflicted by the competent cell solution.

Add 0.5 ml of LB culture mediumz

Incubate the cells for 10 - 30 minutes at 37°C to aid the healing process.

This cell/medium mixture is then spread onto bacterial culture plates containing agar, LB, and a selection mechanism.

Q.1 In addition to the assumption of ANOVA, the other point which is given due consideration by the statistician is “The stability of variance.”

Q.2 In any investigation, if it is possible to incorporate the “randomisation procedure” then it is customary to rely on “ Randomisation” to break up any “correlation among experimental errors”

Square-Root Transformation for Counts

stabilizes the variance more effectively.

Counts of rare events, such as number of defects or of accidents tend to be distributed approximately in poisson fashion.

Transformation of data is useful when the assumptions required for analysis of variance are not adequately satisfied. Forestry experiments may produce observations showing skewness, unequal variances, non-normality, or departures from additivity. This chapter explains the need for transforming observations to an appropriate scale before statistical analysis. It discusses the characteristics of an ideal transformation, including stabilisation of variance, improvement of normality, efficient estimation of means, and achievement of linear and additive effects. Various transformation techniques used in forestry experimental analysis are introduced with suitable examples. The chapter emphasizes that appropriate transformation can improve the validity, sensitivity, and interpretability of statistical tests.

Introduction

Commonly available food materials especially dairy products, cereals and fruits are perishable and require processing for long term storage. The methods of food storage has been known from the pre historic times and was mostly based on processing the food into a more stable form with a longer shelf life. Such processes increases the time range of food availability and in many cases improves the taste thereby, cumulatively improving the food value. One of documented method of food preservation is by fermentation and is age old. Other commonly used methods include drying, refrigeration, salting and fermentation (Luck 1985, Paulus, 1985, Christensen et al., 2003, Martindale and Schiebel, 2017).

Flavour and appeal of food has been considered as one of the important factors contributing to the demand of the food. Originally the flavours were largely plant derived, current industrial practices largely utilise synthesis by chemical reactions and subsequent extraction to achieve a uniform quality (Weckerle et al., 2006, Davidovich-Rikanati et al., 2008, Sethupathy et al., 2018). These chemicals referred to as “flavourings” are defined as compounds that enhance the taste, appeal and palatability of food. They are naturally derived or artificially synthesised compounds. Considering that many artificially synthesised chemical flavours might affect the health adversely. Industrial food research has now shifted their focus on flavourings that are naturally available (Cohen et al., 2018). Such naturally occurring flavourings are referred to as bio-flavours (de Billerbeck 2015). The ease of producing bio active compounds from microbial culture extracts has played significant role in industrial food biotechnology (Verachtert et al., 2005).

Nitrogen ranks fourth element in cell composition after C, H and O. It forms main components of amino acids, the building blocks of peptides and proteins. Besides, it is present in the genetic material of cell as well as in the chlorophyll and cell wall in the form of chitin and mucopeptides. Plant growth in soil is often limited by less supply of nitrogen, therefore a major nutrient limiting factor in crop production. About 26 x 10⁶ Mg N is globally applied to soil each year to enhance crop productivity.

Phosphorus, an essential element, plays a central role in cell metabolism and reproduction. It is a structural component of energy transferring molecules (ATP, ADP and AMP), nucleic acids, coenzymes, phosphoproteins, phospholipids and sugar phosphates. In soils, the phosphorus does not occur as abundantly as nitrogen or potassium. The total phosphorus in an average arable soil is estimated to be about 0.05% (by weight) with an average of approximately 1100 kg P ha-1 (range 200-2000 kg P ha^-1). But only a meager proportion (only ~0.1-1.0%) of it is available for use by plants and microorganisms because phosphorus has poor solubility and gets fixed in soil. Not only the native inorganic phosphates but even the added soluble phosphates of fertilizers and manure readily combine with the cations present in soil solution to form low solubility products. Fixation reactions in soils allow only a small fraction (10-15%) of phosphorus fertilizer to be taken up by the plants in the year of its application.

ABSTRACT

Chilli (Capsicum annuum L.) is a vegetable and spice crop of worldwide importance. Despite the fact that other closely related members of the Solanaceae family are easily transformed by genetic engineering, capsicum still remains recalcitrant to in vitro manipulation, due to lack of proper elongation of multiple shoot initials. An attempt has been made to standardize transformation protocol in two local cultivars of capsicum viz., Byadgi dabbi and Sankeshwar, using shoot tip explants.

The Shoot tip explants were co-cultivated (for 2 days) with Agrobacerium strain EHA105 harboring pBinBt3 plasmid having cry1AC gene and nptII marker linked to the CaMV 35S promoter and nos terminator. After co-cultivation shoot tips were transferred to MS medium containing 2mg/l IBA, 100mg/l kanamycin and 300mg/l cefotaxime. Survived plants were checked for the presence of transgene using cry1 AC and npt II specific primers. Expression of cry1AC gene in these plants was checked using DesiGen Xpresstrips.

This chapter begins by providing an essential overview of different data transformation methods and their importance. It primarily concentrates on exploring three crucial transformation techniques: the square root transformation, log transformation, and arc sine transformation. Additionally, this chapter explores the practical application and analysis of these transformations using the R programming language.

Data Transformation

Data transformation is often needed in statistical analysis and data processing for several key reasons:

• Assumption of homogeneity of variances: ANOVA requires that the variances within each group being compared are equal. When this assumption is violated, i.e., when variances are significantly different across groups, data transformation can help stabilize these variances.

• Normality assumption: ANOVA assumes that the residuals (the differences between observed and predicted values) are normally distributed. However, real-world data often deviates from this normal distribution. Data transformation, such as log or square root transformations, can help in reshaping the distribution of data.

• Handling skewed data: In situations where the data is highly skewed, the results of ANOVA can be misleading. Transformations can reduce skewness, making the distribution more symmetric and suitable for ANOVA.

• Proportional or percentage data: When dealing with data in the form of proportions or percentages, certain transformations (like the arc sine transformation) are necessary. This is because proportions have a bounded scale (0–1 or 0–100%) and their variances are not constant across the range, which can violate ANOVA assumptions

India is on the progressive path of development and its rural population is an integral part of this growth trajectory. As India gears up for an era of increased digitalisation, the issue of holistic and inclusive economic growth remains a pivotal concern. Hitachi, one of the leading Japanese conglomerate with a global footprint and a forerunner in digital innovation, has been an active contributor in transforming millions of Indian lives, its services reaching far beyond citizens within city limits. While India is one of the world’s fastest-developing economy, equitable growth remains a critical imperative. The rural population today constitutes above 45% of the national income. In 2050, despite urbanization, over half of India’s population will still be rural. Prime Minister, Sh. Narendra Modi has prioritized radical digitalisation to induce economic inclusiveness through a host of initiatives. ‘Digital India’, ‘Make in India’ and ‘Skill India’ provide for impetus and opportunity to rural citizens, to ensure they are equal participants in India’s growth story. Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. It’s also a cultural change that requires organizations to continually challenge the status quo, experiment, and get comfortable with failure. In many developed countries, farming has been modernized by a wave of technologies, adopted at farm level.

Digital technologies are finding increasing use in the agricultural value system, and High-tech farming is becoming the standard, thanks to use of sensors, logic controlled systems, data analytics, etc. In India, the increasing availability of energy and internet connectivity to the large rural landscape is further accelerating such changes. Digitised information systems allow remote access to knowledge, has given rise to group sharing and continue even now to revamp how societal exchanges happen interpersonally, commercially and in the extension services system. The digital spectrogram can be compared against a large database and spectral analysis can diagnose the contents of the sample. This analysis can happen in the cloud, and results communicated to the farmers almost instantaneously. There exist various similar technologies where a sample from a field, gets converted into digital information, is promptly analysed to provide accurate results, which then allows farmers to take decisions best suited to the land they farm on. The availability of satellite imagery, infrared imagery, and a myriad of remote inputs allow for more accurate weather forecasts, advance warnings on pest infestation and similar, and more. Instead of traditional homilies about temperature and rainfall events, the farmers now consult and share the advisories and forecasts of the same.

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

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

The digital transformation of agricultural marketing has become a cornerstone for enhancing efficiency, transparency, and profitability in India’s agricultural sector, with particular relevance for the Union Territory of Jammu & Kashmir (J&K). This paper explores how digital tools— such as mobile applications, online marketplaces, blockchain, and data analytics—are simplifying supply chains, strengthening market connectivity, and minimizing information gaps between farmers and the marketplace. Nationwide, the introduction of platforms like e-NAM (National Agriculture Market) and mobile advisory services have empowered farmers with real time pricing, market trends, and data-driven decision-making, fostering more equitable and competitive markets. In J&K, digital Agri-marketing holds unique promise for overcoming challenges related to geographic isolation, limited logistics, and fragmented supply chains by linking local farmers to broader national and global markets. Through case studies, this research highlights the impact of digital solutions on the region’s fruit, saffron, and horticultural sectors, with a focus on scaling these initiatives to spur regional growth. The study concludes that expanding digital infrastructure and providing targeted training programs are crucial steps for empowering farmers in remote areas, advancing inclusive growth and strengthening rural economies.

Abstract
The digital transformation of agricultural marketing has become a cornerstone for enhancing efficiency, transparency, and profitability in India’s agricultural sector, with particular relevance for the Union Territory of Jammu & Kashmir (J&K). This paper explores how digital tools— such as mobile applications, online marketplaces, blockchain, and data analytics—are simplifying supply chains, strengthening market connectivity, and minimizing information gaps between farmers and the marketplace. Nationwide, the introduction of platforms like e-NAM (National Agriculture Market) and mobile advisory services have empowered farmers with realtime pricing, market trends, and data-driven decision-making, fostering more equitable and competitive markets. In J&K, digital Agri-marketing holds unique promise for overcoming challenges related to geographic isolation, limited logistics, and fragmented supply chains by linking local farmers to broader national and global markets. Through case studies, this research highlights the impact of digital solutions on the region’s fruit, saffron, and horticultural sectors, with a focus on scaling these initiatives to spur regional growth. The study concludes that expanding digital infrastructure and providing targeted training programs are crucial steps for empowering farmers in remote areas, advancing inclusive growth and strengthening rural economies.
Keywords: Digital transformation, profitability, blockchain, real-time pricing, limited logistics.