eChapters

Watershed is defined as a natural hydrological unit that covers a specific land surface area from which runoff passes through a common outlet or area with common drainage or outlet. In simple terms, it implies a catchments or drainage basin from which water drains towards a single channel. It may extend over a few acres only or may cover thousands of acres.

Watershed management is the integration of technology within the natural boundaries of a drainage area for optimum development of land, water and plant resources to meet the basic minimum needs of the people in a sustained manner.

It is also defined as the development and management of watershed resources in such a manner as to achieve optimum production without deterioration of resources base or disturbing the ecological balance. It is also termed as “Resource centered technology” since it helps in assessment, augmentation and optimal utilization of all natural resources viz., land, water and vegetation, it prevents deterioration of resources and at the same time ensures sustained productivity of land to meet basic needs of people.

ABSTRACT

The major part of the agriculture in India is Rainfed. The increasing pressure of population on land has resulted into over exploitation of land, water and other ecological resources, resulting in water scarcity, land degradation and rapid depletion of ground water-table. Government of India has adopted watershed management strategy to address these problems, but all existing watershed management programmes are mainly fragmented and governed by different departments. This has resulted in formation of providing better service delivery and governance. In this study an attempt is made to identify the scope of convergence between National Rural Employment Guarantee Act (NREGA) with Integrated Watershed Management Programme (IWMP) for generation of social capital and self-employment in the command area of a watershed using geospatial technology.

7.1 Introduction

There are numerous wavelength dependent phenomena that may be used to modulate the wavelength of incident light source. These are wavelength dependent absorption, luminescence, dispersion, interference and scattering. Wavelength modulated sensors use a broadband source, a wavelength modulator or measurand (i.e. analyte), a form of spectrometer (using prisms, gratings or interference filters), a detector (single photodiode or array) and signal processing unit. Silicon photodiode is cheap and can be used for detection but it limits the detection wavelengths to the region 400 to 1050 nm. The sensitivity or the resolution of the wavelength modulated sensor depends on the characteristics of the detector, the inherent resolution of the spectrometer, mechanical stability of the modulation unit and the spectrometer, and the capability of the signal processing unit. However, wavelength modulated sensors do not require any form of referencing like intensity modulated sensors. In intensity modulated sensors, loss in intensity occurs due to connectors and splices, microbending, mechanical creep and misalignment of light sources and detectors due to environmental effect. Further the fluctuations in light source can affect the performance of the sensor. Thus, for intensity modulated sensors one needs referencing to cancel out these losses. In some intensity modulated sensors two wavelengths are used. One wavelength is used to cancel out all of the losses while the second is used to sense the measurand.

Wavelength detection is relatively easy if the spectral changes result from changes in chemical indicator dyes, fluorescence, phosphorescence, or black-body radiation. In these cases the incident and emitted wavelengths are far apart and therefore detection is easy. If the spectral change occurs due to mechanical movement, then the wavelength filtering mechanisms must have sufficient resolvable spectral points. The reasons for using fluorescence in the fiber optic sensors are well known. Fluorescence is intrinsically more sensitive than absorbance and is more flexible in that a great variety of analytes and physical parameters are known to change the emission of particular fluorophores. The fluorescence based sensors utilize the change in the intensity, lifetime or colour of fluorescence as the affected parameter by the measurand. That means, any interpretable observation of fluorescence can be made the basis of a sensor. In this chapter we shall first describe luminescence phenomenon and then various physical and chemical fiber optic sensors based on wavelength modulation and fluorescence phenomenon.

ABSTRACT

Wavelet analysis is a technique possessing mathematical properties and it has been used by the scientific research community for its power to analyse rapidly changing transient signals used to represent data or functions - the wavelets used in the analysis are, however, functions that break the data down into different scales or resolutions. Wavelets possess the competence to handle spikes and discontinuities than traditional Fourier analysis and make the noisy data to de-noisy. Though traditional applications of wavelets have focused on image compression and analysis, wave propagation but they are also being used to analyse time series, biological processes, spectroscopic data of chemical compounds, seismic signals for earthquake prediction, atmospheric data for weather prediction, computer graphics, medical image technology, detection of aircraft and submarines, non-parametric regression, density estimation, and long memory wavelet models. Indeed, wavelets permit complex information such as music, speech, images and patterns to be decomposed into elementary forms at different positions and scales and subsequently being reconstructed with high precision. Signal transmission is based on the transmission of a series of numbers, indeed, the series representation of a function is important in all types of signal transmission.Wavelet transform of function is the improved version of Fourier transform. Fourier transform is a powerful tool for analysing the components of a stationary signal. But the Fourier transform fails to analyse the non-stationary signal where as a wavelet transform allows the components of a non-stationary signal to be analysed.

ABSTRACT

Rose (Rosa hybrida Linn.) is universally acclaimed as the ‘Queen of Flowers’. But this woody plant is considered less amenable to in vitro culture as compared to herbaceous plants. This is due to the fact that the establishment rose explants is difficult due to heavy phenolic exudation. In the present study, this problem was solved by a very simple and cost effective method. The cut ends of the explant were sealed with wax after thorough sterilization. Ten different explant collection periods with 20 different hormonal combinations in MS culture medium were taken for establishment. The winter dormancy period (Mid- December) was considered best for explant collection and showed 85% survival. Amongst the hormonal combinations 5mg/l BA coupled with 0.05mg/l NAA was considered the best. The average number of leaves (7.5) and average shoot length (7.3 cm) was also highest in this treatment, 15 days after culture establishment.

As we conclude this comprehensive review of the complex relationships between weather, crop diseases, and disease management, it is essential to reflect on the current state of knowledge and identify areas that require further research and attention. The preceding chapters have highlighted the significant impacts of weather factors on crop diseases, emphasizing the need for a deeper understanding of these relationships to develop effective disease management strategies. Significant work particularly on effects of different weather combinations on pathogen population and disease severity needs to be addressed well in time. Despite significant advances in our understanding of the weather-crop disease nexus, there remain substantial knowledge gaps that hinder our ability to predict and manage disease outbreaks effectively. For instance, the complex interactions between weather factors, crop physiology, and disease development are not yet fully understood, making it challenging to develop accurate predictive models. Furthermore, the impacts of climate change on weather patterns and crop diseases are still being researched, and more work is needed to understand these relationships fully. To address these knowledge gaps and improve our understanding of the weather-crop disease nexus, several action plans are required. Firstly, continued research is needed to elucidate the complex relationships between weather factors, crop physiology, and disease development. This research should focus on developing a deeper understanding of the underlying mechanisms driving these relationships, as well as identifying key weather thresholds that trigger disease outbreaks. Secondly, the development of accurate predictive models that can forecast disease outbreaks based on weather data is critical. These models should be able to account for the complex interactions between weather factors, crop physiology, and disease development, as well as incorporate data from multiple sources, including weather stations, satellite imagery, and field observations. Thirdly, there is a need for more effective communication and collaboration between researchers, policymakers, and farmers to ensure that research findings are translated into practical disease management strategies. This will require the development of user-friendly decision support tools that can provide farmers with timely and accurate advice on disease management, based on weather forecasts and other relevant data. Finally, addressing the impacts of climate change on weather patterns and crop diseases will require a coordinated effort from researchers, policymakers, and

The adjustment and maintenance of soil pH at a value suitable for optimal crop production is the first step in soil management, because soil pH affects soil properties, nutrient availability and plant nutrition. In India, about 30M ha cultivated  land  suffer from high soil acidity (pH < 5.5). These soils are critically degraded and are of poor health producing crop yields, which are often less than 50% of that in normal soils. Due to this, farmers use much less fertilizers for crops (50 to 80 kg NPK ha^-1), since this is not profitable.

In the present system of curriculum changes, participation of all the stakeholders are not actively involved in developing curriculum over the years.

Introduction

Bougainvillea is a popular ornamental plant in the tropics and sub-tropics of the world. The plant is mainly grown for its attractive bracts in wide array of colours which splash colour to the surrounding where it grows. Wide adaptability to different agro-climatic conditions and easy multiplication has made it a popular ornamental plant of the world. The mass effect of the colourful bracts of Bougainvillea can alter the face of any given place in a magnificent way which could not be achieved by punctuating any other plant. The flowering of Bougainvillea is compared with the Azalea of temperate countries and very truly called as Glory of the Tropics.’

The popularity of Bougainvillea has now crossed from tropical to temperate countries and successfully being grown as pot plants in green houses. Selection of cultivars of Bougainvillea spectabilis and B. peruviana for temperate region is recommended for better result. Availability of a large number of cultivars under horticulturally important species, provide a unique scope to the Bougainvillea lovers for wide choice according to their need. Single bracted cultivars with large bracts in different colours are obvious choice for every landscape designer while double bracted cultivars produce mass effect of colour as specimen plant. Considering its ornamental and commercial importance in nursery trade, R & D work were taken up by different national research institutes (IARI, IIHR, NBRI, BARC), agricultural universities, Agri-Horticultural Societies (Kolkata and Chennai) and even by progressive nursery men. As a result, a large number of new cultivars have been developed in India. Considering the contribution made by India, The international registration authority for new cultivars lies with The Indian Agricultural Research Institute (IARI), New Delhi which is an international recognition conferred upon by International Society for Horticultural Science.

Recently, lot of development taking place for further popularization and exploitation of Bougainvillea around the world by way of development of new cultivars, standardization agro-technology suited to different zones. Countries like Thailand, Singapore, Malaysia and India have been excelling in this area. Establishment of American Bougainvillea Society is another landmark in Bougainvillea cultivation.

The march of weather factors during crop period is never smooth and regular. Agriculture, because of its dependance on climate is inevitably subjected to unpredictable long and short term fluctuation characteristic of atmosphere conditions. Climate introduces an element of risk in farming which makes it particularly hazardous occupation.

A Weather hazard in this context can be defined as any type of extreme weather condition that can damage the crops and animals leading to abnormal decrease in production and income. The extent to which these hazards create risk depends on the time of occurrence, intensity and duration of the hazard besides the age, stage of development and inherent resistance of the crop or livestock involved. Major abnormalities affecting the crop production are:

Agriculture, the cultivation of life that sustains human civilization, is profoundly intertwined with the rhythms of the natural world. Of all the environmental factors that influence farming, weather reigns supreme, orchestrating a complex symphony of elements that dictate the success or failure of crops. This chapter delves into the intricate relationship between weather and agriculture, exploring how temperature, precipitation, sunlight, and other atmospheric conditions shape every facet of agricultural production.
Weather’s influence begins with the very first stage of a plant’s life. Temperature governs seed germination and seedling development, while sunlight provides the energy for photosynthesis, the process by which plants convert light energy into chemical energy. The availability of water, dictated by rainfall patterns, is crucial for plant growth and nutrient absorption. Wind patterns can aid in pollination but also cause damage to crops.
Throughout the growing season, weather continues to play a critical role. Optimal temperatures are essential for each stage of plant development, from flowering to fruit production. Adequate rainfall, or irrigation to supplement it, ensures healthy growth and abundant yields.

Agriculture, the cultivation of life that sustains human civilization, is profoundly intertwined with the rhythms of the natural world. Of all the environmental factors that influence farming, weather reigns supreme, orchestrating a complex symphony of elements that dictate the success or failure of crops. This chapter delves into the intricate relationship between weather and agriculture, exploring how temperature, precipitation, sunlight, and other atmospheric conditions shape every facet of agricultural production.
Weather’s influence begins with the very first stage of a plant’s life. Temperature governs seed germination and seedling development, while sunlight provides the energy for photosynthesis, the process by which plants convert light energy into chemical energy. The availability of water, dictated by rainfall patterns, is crucial for plant growth and nutrient absorption. Wind patterns can aid in pollination but also cause damage to crops.
Throughout the growing season, weather continues to play a critical role. Optimal temperatures are essential for each stage of plant development, from flowering to fruit production. Adequate rainfall, or irrigation to supplement it, ensures healthy growth and abundant yields.
Extreme weather events, such as droughts, floods, heatwaves, and frosts, can have devastating consequences for agriculture. These events can destroy crops, reduce yields, and disrupt food production, leading to economic losses and food insecurity (Fig. 18.1).

Weather and climate have great influence on farm animal production. The environment in which an animal lives is referred to as its habitat. A habitat includes both biotic (living) and abiotic (nonliving) components of the animals’ environment. Abiotic components of an animal’s environment include temperature, humidity, oxygen, wind, soil composition, day length and elevation. Knowledge of how potential environmental stressors (ambient temperature, humidity, thermal radiation, air speed, etc.) can directly and adversely affect animal performance, health and wellbeing is also required for a successful animal farming. The indirect consequences of weather include their impact on feed quality and availability.

Birds and mammals are warmblooded (endotherms or homeotherms), possessing a thermoregulatory system that maintains a stable body temperature and uniform internal environment (homeostasis) by converting food energy into heat. All metabolic processes generate substantial heat and much of this is retained within the body of homeotherms by insulating layers of fat, feathers or fur. Dairy cattle, like other warmblooded animals, function most efficiently in environments where they can maintain their body temperature at around 38° C. Tissue and cellular metabolism and the underlying biochemical reactions that sustain life and productive functions need body temperature to be maintained within very narrow limits. Relatively small increases in body temperature result in the breakdown of body protein and a significant depression in production.

Climate change, particularly global warming has complex impacts on domestic animal production system affecting feed supply, challenging thermoregulatory mechanism resulting thermal stress, emerging new diseases due to change in epidemiology of diseases and causing many other indirect impacts. So, climate change will have farreaching consequences for dairy and meat production, especially in vulnerable parts of the world where it is vital for nutrition and livelihoods. Due to poor availability of good quality feed and fodders in India, animals are generally maintained on poor quality grasses available in the pastures or are stallfed, mainly on crop residues. India is already deficit in feed and fodder. These shortages would be further aggravated by the adverse effects of global warming on fodder crop production.

Bacterial diseases are a significant threat to human health, agriculture, and the environment. These diseases are caused by pathogenic bacteria that can infect various hosts, including humans, animals, and plants. The severity and spread of bacterial diseases are influenced by various factors, including weather parameters. Weather conditions, such as temperature, humidity, wind, and precipitation, play a crucial role in the development, dissemination, and survival of bacterial pathogens (Fig. 8.1). Fig. 8.1. Bacterial infection on soybean leaves Temperature, for instance, affects the growth and reproduction of bacteria, with optimal temperatures varying among different species. High temperatures can accelerate the growth of some bacteria, while low temperatures can slow it down or even kill them, however every pathogenic bacterium have its own weather window. For example, a daytime temperature of 35°C and nighttime temperatures of 27°C are most favorable for Xanthomonas oryzae infecting rice. Similarly, humidity influences the survival and dissemination of bacteria, with high humidity favoring the growth and spread of many bacterial pathogens. For example, lower soil moisture decreases the chances of infection of Ralstonia solanacearum in tomato plants. Wind and precipitation also impact the spread of bacterial diseases. Wind can disperse bacterial spores and cells, allowing them to reach new areas and infect new hosts. Precipitation, on the other hand, can influence the availability of moisture, which is essential for the growth and survival of many bacterial

Output of dairy products from animals, output from the poultry, goats, sheep, exotic birds, animal growth, their living environments and diseases affecting them, are known to be governed by weather conditions. Development of quantitative climate-animal relationships and efficient utilization of daily weather data for monitoring the various aspects, continues to be a significant research priority. Traditionally the major climatic factors on which attention has been focused are: temperature, humidity, solar radiation and length of day. The effects of these climatic elements on reaction of animal physiological parameters have been studied by measurements of (a) animal?s ability to prevent heat loss by such means as increased evaporative cooling from the body surface, (b) its ability to reduce heat production by lowering its metabolic rate through more efficient energy utilization (c) its ability to put up with a rise in body temperature or with the consequences of compensatory reactions. Experiments are usually done in climate chambers since field measurements often involve difficulties of interpretation in separating out the effects of climate from those of nutrition. Water consumption, water intake, insensible perspiration (diffusion moisture, different from the moisture which is actively secreted), protein intake, intra- and extra cellular volumes, plasma and blood volumes, body temperature, respiratory activity etc., of animals are all known to be affected in relation to changes in air temperature and humidity. Airflow also is an adjutant factor since it affects temperature and humidity. Significant seasonal changes have also been frequently recorded. These in turn, have profound effect on output of milk yield and several other animal products. Development of predictive techniques for assessment of milk yield or other products had been recognized as a thrust area, so as to develop suitable and viable strategies for storage; transport, marketing and distribution of several livestock products. Several gross relationships between climate and its influence on physiological and biochemical aspects of animal behaviour have been worked out in the past on seasonal basis but a more intensive study on short period stress effects on the output products in relation to prediction of output is the need of the hour. For pursuing research on these aspects, an appropriate understanding of the specific meaning and use of terminology such as ?thresholds?, ?optima?, ?normal?, ?extreme events? in more detail is considered appropriate. Methods of analysis also need to be addressed and evolved.

Agriculture is the backbone of human civilization, providing food, fiber, and livelihoods for billions of people around the world. Crop yields, which are a critical component of agricultural productivity, are influenced by a complex array of factors, including genetics, soil quality, water availability, and management practices. However, among these factors, weather and climate stand out as two of the most significant drivers of crop yields.
Weather and climate are intimately linked, with weather referring to short-term atmospheric conditions, such as temperature, precipitation, and wind, and climate describing the long-term average atmospheric conditions in a particular region. Together, they form a dynamic duo that shapes the fate of crops, influencing their growth, development, and productivity.
The impact of weather and climate on crop yields is multifaceted. Weather events, such as droughts, floods, and heat waves, can have devastating effects on crops, leading to reduced yields, lower quality produce, and even complete crop failures. Climate, on the other hand, influences the overall growing conditions, determining the suitability of a region for specific crops and the timing of planting, growth, and harvest.
Understanding the complex interplay between weather, climate, and crop yields is crucial for ensuring food security, improving agricultural productivity, and promoting sustainable farming practices. This chapter aims to explore the intricate relationships between weather, climate, and crop yields, examining the ways in which these factors interact and influence each other. By delving into the latest research and findings, this chapter will provide insights into the following key topics:
The impact of weather events, such as extreme temperatures, precipitation, and wind, on crop yields
• The influence of climate on crop growth, development, and productivity
• The role of climate change in altering weather patterns and crop yields
• Strategies for mitigating the negative impacts of weather and climate on crop yields, such as climate-smart agriculture and weather-based crop insurance

In climatology, terms “Weather” and “Climate” have different connotations. Weather refers to the state of atmosphere at any given time denoting the short- term variations of atmosphere in terms of temperature, pressure, wind, moisture, cloudiness, precipitation and visibility. Weather is highly variable. It is constantly changing, sometimes from hour to hour and at other times from day to day. The aforementioned properties of the atmosphere are subject to constant change and their state at any time determines the state of the weather. However, weather elements are not separate rather they are closely related with each other.

David I. Blumenstock, an eminent climatologist has defined the weather in more restrictive sense. According to him, weather is the behaviour of the lower atmosphere with particular emphasis on the atmospheric behaviour which affect the lands and oceans and have a marked influence on the organisms that live upon the lands, within the waters of the earth or in the lower air. For the geographer, this definition of weather is more satisfactory. Since, he is interested more in the working of the lower atmosphere which affects the life of man as well as natural environment directly. Thus, we come across a great many varieties of weather covering a wide range of conditions.