eChapters

INTRODUCTION

Potato is a highly versatile crop grown in varying environmental conditions viz. plains, hills and plateau in India. It is grown under short days (SD) in the plains in autumn season and under long days (LD) during summers in hills. Therefore, the pattern of growth, duration of crop as well as the yield varies according to the environment. Besides, the potato cultivars differ from each other in relation to their morphological characters, response to the environmental factors and finally in yield and the dry matter accumulation. The biochemical reasons for such variations are not clear, but it seems that genetically determined differences in the synthesis of growth regulators such as auxins, cytokinins, gibberellic acid (GA) and abscissic acid (ABA) play an important role and their proportion at different growth stages affect the growth and development and thus, the yield of the cultivar (Minhas and Singh, 2003).The present chapter deals with the physiologicalfactors, which determine the growth, development and yield of potato crop.

Haemoprotozoan parasites are responsible for causing severe infections in humans as well as animals across the world. The important hemoprotozoan diseases of livestock are trypanosomosis, theileriosis, babesiosis, and
anaplasmosis, which are caused by several species of Trypanosoma, Theileria, Babesia, and Anaplasma, respectively, in several species of livestock. These diseases caused huge impact on health and productivity of livestock as well as human beings and causes great economic losses to the livestock production n terms of morbidity and mortality worldwide. In India, the annual economic loss has been esteemed in the livestock due to theileriosis, babesiosis and trypanosomosis of Rs 8426 crore, Rs 4000 crore and Rs 4474 core, respectively. The major clinical signs of the haemoprotozoan disease varies from fever, anorexia, anaemia, abortion, and even death in the acute form of infections. The symptomatological treatment is a quite common practice in the field condition to treat the animals suspected with haemoprotozon infection leading to the development of resistance in animals to currently available drugs against haemoprotozoans. The accurate and prompt diagnosis of haemoprotozoan infection is a key to control these diseases. Routine diagnosis of haemoprotozoan infection has been rely on clinical findings and microscopical demonstration of the infective parasitic stages in the blood or tissue fluid smear. Conventional diagnostic techniques such as Microscopical examination techniques and Immunological assay provide the definite clues about parasitic infections in general, but these tests have some limitations.

DEFINITION

Pheromones are chemical produced as messengers that affect the behavior of other individuals of insects. The term pheromone was introduced by Peter Karlson and Martin Liischer (1959) and is based on the Greek pherein (to transport) and hormon (to stimulate) is a chemical that triggers a natural behavioural response in another member of the same species. There are alarm pheromones, food trail pheromones, sex pheromones. And many are others that affect behaviour or physiology. Their use among insects has been particularly well documented, although many vertebrates and plants also communicate using pheromones. Pheromones are chemicals released by an organism into its environment enabling it to communicate with other members of its own species.

A successful vegetable production industry is very dependent on a sustainable supply of seeds to the growers. At the present time, the seed industry plays an important role in both production and distribution of high quality vegetable seeds.

Successful seed production of a crop depends on a thorough knowledge of the reproductive process of a particular crop. The techniques of seed production must take into account several features of reproduction: whether it is sexual, asexual, or a combination of the both, the nature of floral structures, the amount of pollen transfer, the degree and means of self-incompatibility and the effect of inbreeding on vigour. For most purposes the important consideration to the seed producers is the extent of cross-pollination. It is, therefore, necessary that before engaging himself in seed production, a producer must acquaint himself with the following details of reproduction in the particular crop:

Methods of Reproduction

The method of reproduction in vegetable crop plants may be broadly grouped in to two categories, asexual/vegetative and sexual:

5.1 Introduction

Chilli is a tropical vegetable crop but considered as an important spice crop of India. Chilli is mainly used in culinary purpose for adding flavour, colour and pungency. It is consumed both in mature and immature stage. In immature form it is valued for pungency and in ripe dried form it is valued both for pungency and colour. Dry chilli powdered or ground into a paste and even green chillies are used for curries, sambars, rasam and other savory dishes to impart pungency, colour and flavour to food items. It is widely used in the manufacture of curry powder, curry paste and all kinds of pickles and preparing sauce, soups, salads etc. In food and beverage industries chilli is being used in the form of oleoresin which permits better distribution of colour, flavour in food. Capsaicin, the pungent principle, is present in cores or septa walls and placenta. It is used in the preparation of balms, whereas the colour extracts (Capsanthin/carotenoid pigments) find use as colour additives in food industry, poultry and prawn feed industry. Green chillies are rich in Rutin which has pharmaceutical use and known as Vitamin P. Oleoresin present in chilli permits better distribution of colour and flavour in food as compared to chilli powder due to cleanliness and uniform flavour. Oleoresin is used in preparation of processed products and also in a number of pharmaceutical formulations. A non-conventional use of chilli is for self-defence sprays of capsicum oleoresin at ultra-high emission rate which temporarily immobilizes the attacker. Highest pungent chilli of the world is Bhoot Jolokia/Naga King chilli (Capsicum chinensis) in NE India. Hotness of Naga king Chilli is 10,01,304 SHU (Scovonelle Heat Unit). At present chillies are grown in almost all states of the country. The major chilli growing states are Andhra Pradesh, Karnataka, Maharashtra, Odisha, Tamil Nadu, Madhya Pradesh, West Bengal and Rajasthan. Within a span of over four centuries, it has spread to an area of around 0.8 million ha. The area and production keeps varying depending on price fluctuations and the weather conditions. Area under chilli cultivation in India is 0.831 million ha with a production 1.87 million tonnes of dry chilli. Andhra Pradesh has been leading both in area and production contributing on average of 25 per cent of the total area and over 40 to 50 per cent of the total production. Chillies have adapted very well to the Indian condition so that, India is considered as secondary centre of origin.

Protected agriculture encompasses a range of structures, technologies, and tools designed to create a controlled microenvironment that enables optimal use of light, air, water, and nutrients, ultimately aiming to maximize yield per unit area while enhancing crop quality. Different types of protected structures are selected based on crop requirements and regional climatic conditions. These commonly include low tunnels, walk-in tunnels, net houses, greenhouses, shade net houses, polyhouses, and insect-proof net houses. Beyond physical structures, protected cultivation also incorporates technologies such as soil solarization, plastic mulching, use of specialized growing media, and container-based planting systems. These approaches collectively contribute to better water-use efficiency, higher productivity per unit of land and input, improved crop quality, and a reduction in pesticide usage through integrated pest and disease management strategies. By providing plants with a favorable and controlled growing environment through these techniques, protected agriculture promotes healthier growth, earlier flowering and fruiting, and helps crops realize their full yield potential with enhanced marketable quality.
CLASSIFICATION OF PROTECTIVE STRUCTURES
A protective structure is any built system intended to alter the growing environment for plants. Common examples include greenhouses, shade houses, and tunnels, which are widely used across the globe to cultivate high-quality fruits and vegetables. These structures improve crop yield and quality by influencing key environmental factors such as light, temperature, humidity, wind, and pest presence. The effectiveness of this environmental control depends on the type of materials used for the roofs and walls, along with the structure’s height, shape, and orientation. Conversely, in tropical and subtropical climates, greenhouses and screen houses are often covered with flexible plastic films—either solid or perforated—that help minimize heat buildup and support passive ventilation.

Introduction 
The creation of molecular-scale machinery and gadgets at a few nanometers (10^-9 m), known as nanotechnology, has a substantial impact on this topic and dramatically reduces the size of a cell. To assess how nanoparticles affect the synthesis and production of biofuels, particularly biodiesels, a variety of nanomaterials, including nanofibers, nanotubes, and nanometals, are being used (1). Research on biodiesel has shown that utilizing nanotechnology and nanomaterials can be a useful approach to implementing low-cost techniques that improve manufacturing quality. Because of their tiny size and special qualities, such as a high surface area-to-volume ratio, catalytic activity, considerable crystallinity, adsorption capacity, and stability, nanoparticles (NPs) are useful in the generation of biodiesel (2). Because of their high potential recovery properties, metal oxide nanoparticles and carbon nanotubes are frequently used as nanocatalysts in the synthesis of biofuel and biodiesel (3, 4).This chapter critically evaluates the application of nanotechnology in the manufacturing and enhancement of biodiesel, addressing key challenges and potential advancements. Microalgae have been identified as a potentially useful feedstock for biodiesel production. The process of harvesting microalgae can be made much more efficient by employing a range of nanoparticles. Additionally, cost-cutting is facilitated by the recycling of nanomaterials and their incorporation into procedures including cell disruption, extraction, and harvesting. Furthermore, an array of nanocatalysts holds promise for enhancing the efficiency of biodiesel conversion (5). Classification of nanoparticles based on physical attributes as shown in (Fig.1). However, there is a growing emphasis on improving combustion efficiency and reducing harmful emissions in the engine industry and its associated fields. Several studies indicate that the introduction of nanoadditives into blends of diesel and biodiesel fuels has yielded significant results.

Citizen science has emerged as a powerful tool for monitoring and managing pests and diseases in agriculture. The concept of citizen science involves the active participation of citizens in scientific research, often through collaborative efforts with professional scientists. In the context of agriculture, citizen science offers a unique opportunity for farmers, gardeners, and other stakeholders to contribute to the monitoring and management of pests and diseases. Traditionally, pest and disease monitoring and management in agriculture have relied heavily on professional scientists and extension agents. While these experts play a critical role in providing guidance and support to farmers, they often face limitations in terms of resources, capacity, and geographical reach. Citizen science offers a way to bridge these gaps by leveraging the collective knowledge, expertise, and observational power of citizens (Fig.9.1).
In agriculture, citizen science can be applied in various ways to support pest and disease monitoring and management. For example, farmers and gardeners can be trained to recognize and report pests and diseases, providing valuable data on the distribution, prevalence, and impact of these organisms. This information can be used to inform management decisions, such as the application of pesticides or other control measures. Citizen science can also be used to support the development of integrated pest management (IPM) strategies, which aim to minimize the use of chemical pesticides and other harmful practices. By engaging citizens in the

INTRODUCTION

Control of weeds below economic threshold level in potato crop is a substantial component of crop management strategy for achieving optimum productivity. In our country, potatoes are raised eitherin assured irrigation or as rainfedcrop with comparatively heavy doses of fertilizers. Therefore, weedsarebound to become menaceduringactive cropgrowth period of this cropand theseundesired plants needs to be controlled in early stages of crop growth by adopting several techniques. Current scenario of crop production is different from past due to manyreasons. Farm holdings are becoming smaller day-by-day and majority of potato growers are small and marginal farmers. They have limitedcapacity for purchase of inputs and farm machines. They need economical, efficient and easier to adopt weed control technologies.Farm labour is also costly nowin many regions as they are migrating towards cities and industrial townships. This scenariobecomes more complex as weeds would be major challenge due to global warming, which is slowly changingclimatesof potato growingregions in India.Theconcern forenvironmentalissuesemphasizeuponadoptingsystems and integrated approach for managing weeds in such away that thesedo not reducethe potato and system productivity (CPRI, 2014).

In the study of immunology, several techniques are used. These techniques are called immunotechniques. These techniques are used not only in immunology but are the methods for research and diagnostic purpose in many fields such as microbiology, biochemistry, endocrinology, hematology and in pathological laboratories.

India is known for its heritage and diaspora has 6,40,867 villages with a population of aprox 120 crore people which is about 66.46 % of the population. The villages in India have always remained neglected and never tried to market their products to urban consumers. But the rise in incomes of the Indian urban consumers and the increased awareness due to technological advancement it leads to the growth of the Indian consumer market which became attractive for the Indian as well as foreign companies. The efforts by Indian Government for rural products contributed to the development of rural products and their marketing. 

Introduction

Since the dawn of the civilization when mankind started agriculture, soil erosion has been the single largest environmental problem and has remained so till date (Sullivan, 2004). This is so because removal of the topsoil by any means has, through research and historical evidence, been severally shown to have many deleterious effects on the productive capacity of the soil as well as on ecological wellbeing. Doran and Parkin (1994) captioned the impact of soil erosion in their popular maxim that “the thin layer of soil covering the earth’s surface represents the difference between survival and extinction for most terrestrial life”. Soil degradation implies decline in its capacity to provide ecosystem services (ESs) of interest to humans and useful to nature’s functions. Principal processes of soil degradation are erosion, salinization, nutrient and carbon (C) depletion, drought, decline in soil structure, and tilth. Examples of ESs provided by soil include ecological/supporting (biomass production, nutrient cycling), regulating (water purification and flow, C sequestration, temperature fluctuations), provisional (food, fiber, fuel, and forages), and cultural (aesthetical, spiritual, and cultural). Erosion-induced degradation diminishes soil’s capacity to provide ESs, and support ecosystem functions.

Although fertile top soils could be lost when scraped by heavy machineries (Ngwu et al., 2005), the key avenues of topsoil loss include water erosion and wind erosion. Sometimes erosion can be such gradual for so long a time as to elude detection in one’s lifetime, thus making its adverse effects hard to detect. Eswaran et al., (2001) propose an annual loss of 75 billion tons of soil on a global basis which costs the world about US $400 billion per year. A review of the global agronomic impact of soil erosion identifies two severity groups of continents and reveals that Africa belongs to the more vulnerable group (Biggelaar et al., 2004). Soil erosion by water seems to be the greatest factor limiting soil productivity and impeding agricultural enterprise in the entire humid tropical region. This is evident in many regions of Africa (Dregne, 1990), mainly in the humid and subhumid zones of Sub-Saharan Africa (SSA) where population pressure and deforestation exacerbate the situation and the rains come as torrential downpours, with the annual soil loss put at over 50 t ha⁻¹ (FAO, 1995).

Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Weather forecasts are made by collecting quantitative data about the past and current state of the atmosphere on a given place and using scientific understanding of atmospheric processes to project how the atmosphere will evolve on that place. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation is important to agriculture.

Agricultural production is highly dependent on weather, climate and water availability, and is adversely affected by weather and climate related disasters. In many developing countries where rainfed agriculture is the norm, a good rainy season means good crop production, enhanced food security and a healthy economy. Failure of rains and occurrence of natural disasters such as floods and droughts can lead to crop failures, food insecurity, famine, loss of property and life, mass migration, and negative national economic growth (Sivakumar, 2006).

Farming in many parts of the world, especially in the arid and semiarid regions is risky, because climate is highly variable. In some developing countries as much as 80% of the variability in agricultural production is due to the variability in weather conditions. This production variability in agriculture has immediate and important macroeconomic impacts. A timely seasonal forecast of favourable conditions could permit farmers to adjust cropping patterns and input use in order to benefit fully from these conditions. Also, a timely forecast could give the marketing system and downstream users, such as the food processing industry, time to prepare for a bountiful harvest (Arndt et al., 2000). It is important to remember that under rainfed conditions, even a less reliable, but earlier forecast may be more valuable than an accurate but late forecast (Mjelde et al., 1998).

Agriculture has long been at the mercy of the weather, and in today’s datadriven world, harnessing meteorological information is more critical than ever. Weather intelligence—the process of collecting, analyzing, and disseminating weather data—supports decision-making in diverse fields such as aviation, transportation, emergency management, and especially agriculture (Fig 3.1). This chapter explores how advanced data acquisition methods and robust database management techniques underpin agricultural weather intelligence. It covers the variety of data sources available, details strategies for integrating and ensuring the quality of vast datasets, and examines the forecasting techniques that transform raw data into actionable insights for precision forecasting and decision making in food production. Fig. 3.1. Weather Data Acquisition System In this chapter, we not only discuss the technological means by which weather data is collected—from satellites, ground sensors, and IoT networks—but also dive into the structure of weather databases. These repositories house surface weather observations, radar and satellite imagery, upper air measurements, and outputs from weather models. Further, we outline the different forecast types and forecasting methodologies that are essential to interpreting this data, ranging from nowcasting for immediate weather conditions to seasonal forecasting that supports long-term planning. Finally, the role of big data analytics in supporting precision forecasting and optimizing decision-making in agricultural production is examined, highlighting the integration of advanced techniques like numerical

INTRODUCTION

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

Many aspects of the global climate are changing rapidly. Evidence for changes in the climate system abounds, from the top of the atmosphere to the depths of the oceans. The climate system is the highly complex system consisting of five major components; the atmosphere, the hydrosphere, the cryosphere, the land surface and the biosphere, and the interactions among them. The climate system evolves in time under the influence of its own internal dynamics and because of external forcings such as volcanic eruptions, solar variations and human-induced forcings such as the changing composition of the atmosphere and land-use.

The term ‘climate variability’ is often used to denote deviations of climatic statistics over a given period of time (e.g., a month, season or year) from the long-term statistics relating to the corresponding calendar period. In this sense, climate variability is measured by those deviations, which are usually termed anomalies.

‘Climate change’ refers to a statistically significant variation in either the mean state of the climate or in its variability, persisting for an extended period (typically decades or longer). Climate change may be due to natural internal processes or external forcings, or due to persistent anthropogenic changes in the composition of the atmosphere or in land use. The United Nation’s Framework Convention on Climate Change (UNFCCC) defines ‘climate change’ as ‘a change of climate behaviour which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods’. The UNFCCC thus makes a distinction between ‘climate change’ attributable to human activities altering the atmospheric composition, and ‘climate variability’ attributable to natural causes. Climate change is a long-term shift in weather conditions measured by changes in temperature, precipitation, wind, snow cover, and other indicators. It can involve both changes in average conditions and changes in variability, including, for example, changes in extreme conditions.

A key difference between climate variability and change is in persistence of ‘anomalous’ conditions. In other words, events that are used to be rare occur more frequently, or vice versa. Occasionally, an event or sequence of events occurs that has never been recorded before, such as the exceptional tsunami in the Indian Ocean in 2004 or hurricane season in the Atlantic in 2005. Yet even that could be a part of natural climate variability. If such a season does not recur within the next 30 years, by looking back it could be called as an exceptional year, but not a ‘climate change’. Only a persistent series of unusual events taken in the context of regional climate parameters can suggest that a potential change in climate has occurred.

ZINC (Zn)

Chandler et al., (1932) deduced the requirement of zinc by plants while working solution for little leaf or “rosette” on peach. Zinc plays significant role in assimilation of NO₃ and for synthesis of tryptophan. Involved in biosynthesis of indole acetic acid which is responsible for f lowering and fruiting, it is an activator of several enzymes (triphosphate dehydrogenase and tryptophan synthetase), involved in photosynthesis and nitrogen metabolism.

Deficiency results in poor growth of the terminal bud. Decrease in stem length resulting in resetting and whorling of leaves. Zinc deficiency disorder in rice is called khaira. Common when zinc availability is < 0.7 ppm. White bud in maize and malformation of fruits, reduction in water uptake. Interveinal chlorosis often with necrosis and pigmentation and reduced leaf size in broad leaved crops known as little leaf and malformation of leaves.

The crops which are known to respond for zinc application are maize, rice, soyabean, castor, onion, barley, wheat, potato, sorghum and cotton

1. Introduction

Agriculture is the backbone of the economy and a significant sector. For all nations, agriculture digitization is a growing area of concern. The need for food rises in tandem with the world's population growth, which is happening quite quickly. The agriculture sector is finding it very challenging to develop methods and strategies that will enable them to completely meet the growing wants and specifications due to the expanding need for food and shifting consumer preferences. Misuse of agricultural components can have detrimental effects on the environment and cause pollution. Farmers mostly rely on irrigation canal networks, groundwater, and rainfall in the field of irrigation. 

1. Introduction 
The Techno-Economic Analysis (TEA) of nanotechnology-based microalgal biodiesel explores the intersection of nanotechnology and renewable energy production, aiming to assess the economic feasibility and sustainability of integrating nanomaterials into the microalgal biodiesel production process (BlancoCanqui, 2010). As the global demand for sustainable energy sources continues to rise, microalgae have emerged as a promising feedstock for biodiesel production due to their high lipid content and rapid growth rates. Nanotechnology offers innovative solutions to enhance various stages of the microalgal biodiesel production chain, from cultivation and harvesting to lipid extraction and conversion (Moustakas et al., 2020).This introduction provides an overview of the key objectives, methodologies, and implications of conducting a TEA on nanotechnology-based microalgal biodiesel. It outlines the significance of integrating nanomaterials into biodiesel production processes, highlights the potential benefits and challenges associated with nanotechnology adoption, and sets the stage for the subsequent analysis of economic factors and technical considerations (Borowitzka and Moheimani, 2013).The introduction also discusses the broader context of sustainable energy transition and the role of microalgal biodiesel as a renewable alternative to conventional fossil fuels (Gaurav et al., 2017). It emphasizes the importance of evaluating not only the technical feasibility but also the economic viability and environmental sustainability of nanotechnology-enabled biodiesel production methods. By conducting a comprehensive TEA, this study aims to provide valuable insights into the cost-effectiveness, scalability, and market potential of nanotechnology-based microalgal biodiesel, informing strategic decision-making and investment priorities in the renewable energy sector (Gouveia and Oliveira, 2009; McCollum et al., 2018). Through interdisciplinary collaboration and rigorous analysis, the TEA seeks to advance our understanding of the economic and technological factors shaping the future of sustainable biofuel production.

Introduction

North Eastern Himalaya region of India comprises of the states of Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim and Tripura (Kukreti, 2000) lies between 21.5° N to 29.5° N latitude and 85.5° E to 97.5° E longitude. The total area of the region is 1,83,753 km2 thousand hectares of which about 9,729 ha (52.95%) is estimated to be under various type of forest including fallow land under regeneration in shifting cultivation with 220 different ethnic groups (Moral, 1997) and a total population of 1,01,39,990 (Table 1.) Northeast India is mountainous and a unique ethnic region with typical land tenure system with climate ranging from tropical to alpine type and altitudinal variation from 15 m to 5000 m amsl. Sustainable realizations of equitable livelihood in the region call upon conservation of bio-resources, environmental externalities, management of fragility and social sensitivities. Traditionally several niche based agroforestry systems of harmonizing woody biomass growth, crop production, livestock rearing and micro-enterprising have been evolved and indigenous technical knowledge generated to enhance income, employment and subsistence.