eChapters

Rivers are the most important system for water, for irrigation and human settlement. Historically, civilizations always nucleated near rivers, and latter also had social and religious significance. Rivers in India are considered holy and play the most important part in the lives of people, fauna & flora and the future environmental system. The Ganga Basin is the largest river basin in India which includes the Ganga, the Yamuna, the Ghagra, the Gandak, the Kaveribasin etc. Compared to these, the Vishwamitri River, situated between Mahi River in North and Narmada River in South in Central Gujarat is a small seasonal river but it is very important for the city of Vadodara and Central Gujarat region. This seasonal river originates from Pavagadh hills and flows east to west. It is a typical small river with the kind of problems in most rivers in India and other countries – liquid and solid wastes, enouncements, blocking of water ways, floods in monsoon months and dry dumping basin during most other months etc.
RIVERS & THEIR REVIVAL
River basin planning and watershed management were the centerpieces of water resource planning at the dawn of the era. For most of the century, however, natural resource policies and pressures led to watershed degradation. Today, the resources value of watershed ecosystems are being rediscovered. Watershed management reflects the recognition that we can only sustain biodiversity by managing the future ecosystem.
VISHWAMITRI RIVER
In a well researched book ‘Vishwamitri Mahatmyam’ edited by Thaker of oriental Institute – Vadodara the history, glory and mythological details of the ancient river Vishwamitri has been brought out. It is said that the river

Introduction

Climate variability can have significant impacts on agricultural production, affecting both the demand and supply sides of farming. As climate change continues to negatively impact our ecosystem, food production, and human livelihood, this topic has gained widespread attention from researchers and academics worldwide. Given that agriculture is highly dependent on factors such as precipitation and temperature, it is considered one of the most climate sensitive sectors (Sagar et al., 2022).

Climatic data is complex and nonlinear, with significant fluctuation across time components, resulting in greater volatility. This means that stochastic climatic variables, including rainfall, temperature, relative humidity, and other weather parameters, often exhibit conditional heteroscedasticity, leading to irregular residual mean and variance across time series.

4.1 Introduction

The developed or commercially available models can be applied for any water bodies such as fresh water lakes, ponds, rivers, estuaries and marine ecosystems. The predicted results can be compared with proved with field data and existing approved models and applies to the other such ecosystems. In this chapter, we can discuss about modeling of water bodies, water quality model, spatial discretizafion, modeling pollutants and toxicants, concentration modeling, hydrodynamic mixing zone analysis.

4.2 Modeling of Water bodies

The need for predictive water quality modeling has arisen largely as a result of increased eutrophication of lakes throughout the world (Forsberg, 1987; Canfield and Hoyer, 1988). The most common modelling approach is exemplified by the development and application of steady state, input-output models. Generally, nutrient concentrations are calculated from net inputs and chlorophyll a concentration is predicted by correlation with the limiting nutrient, most often phosphorus (Dillon and Rigler, 1975; Canfield and Bachmann, 1981; OECD, 1982).

Factors that can also influence phytoplankton biomass, such as light, climate, biological interactions and internal loading of nutrients, are not considered. Further more, the assumption that a lake is a continuously mixed system is very restrictive and only applicable at discrete times of the year. As a result, the shortcomings of such approaches include an inability to make predictions in the face of varying physical and biological conditions, and a failure to offer insights into the determinants of changing water quality.

7.1 Introduction

The coast is one of the most important boundaries in the world. It separates the marine part of the world from the continents. It separates the salt-water communities from fresh water communities; it separates land life from water borne life but amphibians living both environments (Fig. 7.1).

Some of the marine organisms move towards estuary for reproduction with less water salinity. The coastline as such is not a stable. It fluctuates in place over considerable distances due to erosion and sedimentation, but also due to the relative change of sea level with respect to land. The coastal zone is thus a very mobile part of the earth from a geographical point of view. Due to its specific geophysical properties, the coast is also a very important area for the development of flora and fauna. There is hardly any other part of the world that houses such a variety of species, both in flora and fauna.

The abundance of opportunities along the coast has also attracted a lot of human activities. The coastal zone has become an indispensable resource for mankind. It provides excellent opportunities for fisheries, housing, recreation, transport, defense purpose, industrial activities and many others. The influx of man with their social and economic activities, their needs for safe housing, food, drinking water, and with the tremendous quantities of waste they are producing poses at the same time a serious threat to the unique features of the coastal zone. It is therefore necessary to study this valuable region so as to prevent that competing activities are gradually causing depletion of the resources in the coastline. The following figures (Fig. 7.1and 7.2) show the typical coastal area of rocky coast and sandy coast.

8.1 Introduction

A lake is a body of water or other liquid of considerable size surrounded entirely by land (Fig. 8.1). A vast majority of lakes on Earth are fresh water, and most lie in the Northern Hemisphere at higher latitudes. In ecology, the environment of a lake is referred to as lacustrine.

Fig 8.1 A Typical Lakes

Large lakes are occasionally referred to as “inland seas” and small seas are occasionally referred to as lakes. Smaller lakes tend to put the word “lake” after the name, as in Green Lake, while larger lakes often invert the word order, as in Lake Ontario, at least in North America. The term lake is also used to describe a feature such as Lake Dal, which is a wet basin most of the time but may become filled under seasonal conditions of heavy rainfall and snowfall. Many lakes are artificial and are constructed for hydro electric power supply, recreational purposes, industrial use, agricultural use, or domestic water supply.

10.1 Introduction

Biochemical Oxygen Demand (BOD) is a chemical procedure for determining how fast biological organisms use up oxygen in a body of water. It is usually performed over a 5 day period at 20 C. It is used in water quality management and assessment, ecology and environmental science. BOD is not an accurate quantitative test, although it could be considered as an indication of the quality of a water source.

10.2 Typical BOD values

Most pristine rivers will have a 5-day BOD of less than 1 mg/l. Moderately polluted rivers may have a BOD value in the range of 2 to 8 mg/l. Municipal sewage that is efficiently treated by a three stage process would have a value of about 20 mg/l. Untreated sewage varies, but averages around 600 mg/l in India and as low as 200 mg/l in the U.S., or where there is severe groundwater or surface water infiltration. Slurry from dairy farms is around 8000 mg/l and silage liquor around 60000 mg/l.

5.1 Introduction

The water quality modeling methodologies are started from conceptual models such as defining the problem in a particular region of interest like fresh water ecosystem, coastal ecosystems, ocean ecosystems, the following methodology can be studied carefully for water quality modeling.

Identification of problems in the region of interest

Monitoring of field data using standard methods like APHA, USGS, BIS etc.

Evaluation of primary data for the toxins, higher amount of concentration from the ambient conditions

Processing of primary data to secondary data

Based on the primary data and secondary data, suitable modeling software can be used. If the temperature of the region is higher than the ambient, it should be used Qual2E, MIKE21 etc.

Modeling results can be compared with field data for calibration and validation.

9.1. Introduction

Oceans (from Okeanos in Greek) are saline waters that cover almost three quarters (71%) of the surface of the Earth. The area of the oceans is 361 million sq. km., and nearly half of the world’s marine waters are over 3,000 meters deep.

Though somewhat arbitrarily divided into several “separate” oceans, these oceans are in fact one global, interconnected body of salt water, often called the World Ocean. The major divisions are defined in part by the continents and a variety of archipelagos, and are labeled the Pacific Ocean, the Atlantic Ocean, the Indian Ocean, the Southern Ocean, and the Arctic Ocean. Smaller regions of the oceans are called seas, gulfs and straits.

There are a some smaller bodies of salt water that are not interconnected with the World Ocean. These are not considered to be oceans or parts of oceans, though some of them have been given the name, sea.

Geologically, an ocean is an area of oceanic crust covered by water. Oceanic crust is the thin layer of solidified volcanic basalt that covers the Earth’s mantle where there are no continents. From this point of view, there are three “oceans” today: the World Ocean, and the Black and Caspian Seas that were formed by the collision of Cimmeria with Laurasia. The Mediterranean Sea is very nearly its own “ocean”, being connected to the World Ocean through the Strait of Gibraltar, and indeed several times over the last few million years movement of the African Continent has closed the strait off entirely, making the Mediterranean a fourth “ocean”.

3.1 Introduction

By the end of the twentieth century one of our most important scientific accomplishments has been the explicit realization that the human population is changing the earth system. Some of these changes are occurring at a remarkable rate. We know, with certainty, that human activities are changing land use, habitats, the chemistry of the Earth’s atmosphere and water, rates and balance of biogeochemical processes, and diversity of life on the planet (Vitousek et al. 1997). One prominent mode of human disturbance has resulted from activities that mobilize the nutrient elements nitrogen and phosphorus through land clearing, production and applications of fertilizer, discharge of human waste, animal production, and combustion of fossil fuels (Nixon 1995).

As a result of these activities, surface waters and ground waters throughout the world now have elevated concentrations of N and P compared to concentrations even in the middle of the 20th century. Our mobilization of N and P has accelerated the fluxes of these elements to coastal waters, and fertilization of coastal ecosystems is now a serious environmental problem because it stimulates plant growth and disrupts the balance between the production and metabolism of organic matter in the coastal zone. Coastal eutrophication is a recently recognized phenomenon (Nixon 1995), and scientific investigation of this human disturbance has progressed for only a few decades, so our conceptual model of the problem is evolving rapidly. Here, I describe 2 phases in the evolution of our conceptual model of how nutrient enrichment disrupts coastal ecosystems, and then finish with a view to the future, suggesting critical questions that must be answered as we work to advance and broaden our understanding of this complex environmental problem. This examination of conceptual models is designed as a complement to the excellent general reviews of coastal eutrophication (Vollenweider 1992, Heip 1995, Nixon 1995, Jørgensen & Richardson 1996, National Research Council 2000).

6.1. Introduction

A river is a large natural waterway. The source of a river may be a lake, a spring, or a collection of small streams, known as headwaters. From their source, all rivers flow downhill, typically terminating in the ocean. The mouth, or lower end, of a river is known as its base level.

A river water is confined to a channel, made up of a stream bed between banks. Most rainfall on land passes through a river on its way to the ocean. Smaller side streams that join a river are tributaries. The scientific term for any flowing natural waterway is a stream; so in technical language, the term river is just a shorthand way to refer to a large stream. Rivers throughout history have been the source and support for civilization, and many major cities today are near a river of some sort (Fig. 6.1).

6.1.1 Topography

A river conducts water by constantly flowing from a higher to a lower elevation, thereby converting the potential energy of the water into kinetic energy. It starts to form loops and snakes through the plain by eroding the river banks. Sometimes the river will cut off a loop, shortening the channel and forming an oxbow lake from the cut off section. Rivers that carry large amounts of sediment may develop conspicuous deltas at their mouths, if conditions permit. Rivers, whose mouths are in saline tidal waters, may form estuaries. River mouths may also be rias.

7.1 Introduction

Energy has become a critical input for the economic development of the India because of the wide spread scarcity of oil and electricity and other commercial form of energy.

The rural areas are often the worst affected because of these shortages and the rural population continues to depend on the inefficient non-commercial energy from like fire wood, cow dung, human and animal for meeting their energy requirement for subsistence, production and devolvement needs.

The rural energy crises or “The energy crisis” has been getting increased attention from the policy makers to tackle the problem in a planned and integrated manner.

The rural energy sector is concerned with two major planning issues.

1. Provision of energy for meeting substance needs for cooking, heating and lighting of the rural areas of the country. This problem is also directly linked to the problem of deforestation and environmental destruction being caused in the rural area because of indiscriminate and wide spread use of non conventional energy sources.
2. Meeting energy requirements for production activities which would create employment and productivity in rural areas.

1. Introduction
Water is the most crucial input for agricultural production. Globally, more than 80% of all freshwater used by humans are consumed in agriculture and most of it are for crop production (Morison et al., 2008). Currently about 60% of production in developing countries is derived from rainfall. Though irrigation provides only 10% of agricultural water use and covers just around 20% of the cropland, it can contribute about 40% of total food production since productivity of irrigated land is almost three times higher than that of rainfed land. The Food and Agriculture Organization (FAO) has predicted a net expansion of irrigated land of about 45 million is hectares in 93 developing countries (for a total of 242 million hectares in 2030). It projected that water withdrawals by the agriculture sector will increase by about 14% during 2000 – 2030 to meet the growing food demands (FAO, 2006). It is estimated that by 2050 in India, about 22 % of the geographic area and 17 % of the population will be under absolute water scarcity. The per capita availability of water which was about 1704 cubic meter in 2010 is projected to be 1235 cubic meter in 2050 (Anonymous, 2011). Infrastructure to increase the command area and minimize the gap of irrigation potential created and utilized is the dominant component of overall investment in agriculture (Anonymous, 2011). Besides this, judicious agricultural water management assists in ensuring good returns through efficient use of fertilizers and high yielding crop varieties. Above all, water will remain as a critical input for attaining sustainability in agricultural production. India’s current water supply is approximately 740 billion m3, which necessitates implementation of judicious water management technologies to enhance crop water productivity. In recent decades the world’s population has shown tremendous growth from an estimated 2.5 billion in the 1950’s to approximately 6.7 billion till date. It is expected that reduction in the average size of land holding, declining per capita water availability, deterioration of water quality etc. will seriously affect the sustainable use of water resources and will make it difficult to accomplish the target of producing 345 Mt of food grain in 2030 and 494 Mt in 2050 AD. To achieve the targeted food production, increase in the crop productivity from the present 2.3 to 4.0 t ha-1 under irrigated conditions and from 1.0 t ha-1 to 1.5 t ha-1 in rainfed area, productivity need to be increased at individual field level. This demands efficient use of water in agriculture, which can be achieved by reducing the losses of water and increasing the water uptake by the crops and it requires quantification of different water budgeting parameters like evapotranspiration and deep percolation.

Survival strategies of some plants help them to thrive in any adverse environmental conditions. We classify them as weeds or ruderals. Such weedy species have developed unique and effective physiological traits to withstand various stresses, and unique mechanisms to regulate growth under adverse environments. Climate change is a harsh reality observed in different parts of the world which brings new challenges in crop production and weed management.

Introduction of biotechnological tools in weed science and management has given new dimensions to weed research.

Soil fertility evaluation is conducted for providing an adequate supply of essential plant nutriens to ensure optimum plant productivity, while maximising economic benefits and minimising environmental degradation.
 
Mathematical modelling of nutrient application

The significance of an essential plant nutrient was contained in the Liebig’s law of minimum.

Indian horticulture has made a rapid stride, converting the country from food scarce to self sufficiency. The horticulture, which includes fruits, vegetables, spices, flowers and medicinal and aromatic plants, has proved beyond doubt its potentiality for gainful diversification. One of the significant developments is that horticulture has moved from rural confine to commercial production, and this changing scenario has encouraged private sector investment in production system management. Since the growing of fruit crops is highly rewarding to the farmers in terms of returns per unit area, the horticulture sector is expected to contribute significantly for the food and nutritional security, employment opportunity and poverty alleviation.

In recent past, several innovations and new initiatives have been made both in research and development for improving production, productivity, quality and marketing and to identify critical gaps in various emerging areas in fruits & horticulture technology. Some of the brief details are discussed on under:

High yielding superior fruit varieties for commercial cultivation

Mango: The mango varieties have been developed as a national priority at IARI, which are highly popular amongst the fruit growers of India. The important features of these hybrids are summarized below:

Introduction

In view of the accepted importance of analysis, the workload on soil, plant and water testing laboratories has increased considerably in recent years. Therefore, analytical methods have needed to be accelerated through the automation of instruments. Almost all instruments either contain inbuilt computers or can interface directly with micro processors, thereby simplifying instrument operation and providing versatility for the analyst. Most operations can be performed through keyboard commands. This type of instrument automation enables:

Abstract

The advent of modern chemical industry has resulted in the release of huge amounts of novel organic compounds, as industrial by-products, pesticides, other agrochemicals etc into the environment. These new compounds tend to resist biodegradation, with potential consequences such as persistence in the environment or bioaccumulation in food chains. Early detection of toxic chemical compounds in the environment, particularly in water, and their biological effects on organisms has therefore become increasingly important. The traditional approach to environmental pollution assessment is based on chemical analytical methods which only provide information about the absolute concentrations of known chemicals in the environmental sample without an adequate interpretation of its toxicity to biota. In order to get more relevant information about environmental pollution risk, it is therefore inevitable to supplement the chemical analytical data with the results of methods providing information on biological impacts. The negative biological effects of pollutants present in all kinds of environmental samples can be assessed using different living organisms or cells as ‘analytical devices’. The biological response following the exposure of living organisms or cells to environmental sample usually gives an information on toxicity, genotoxicity, estrogenicity etc. of the whole mixture of chemical compounds. According to the technical principle, methods of biological monitoring can be classified to bioassays, biosensors, immunoassays, and ecological methods. Besides being sensitive only to the bioavailable fraction of pollutants, biotests also have the power to assess the integrated effect of interacting chemical compounds and to detect the compounds, which are toxic only due to bioactivation.

9.1. Molecular breeding and marker assisted selection

Using conventional breeding, developing new varieties takes atleast 15-20 years.

Molecular breeding shortened the time to 7-10 years.

One of the tools for faster variety development is Marker Assisted Selection (MAS).

MAS-refers to use of DNA markers to assist phenotypic screening.

Plants that possess particular genes or quantitative trait loci (QTL) may be identified based on their genotype rather than their phenotype.

During most of the years, there will be loss of agricultural production by at least 15 to 20 per cent per annum due to unfavourable weather situations. The farmers practicing agriculture expect uniform returns every year as the investment costs are much higher and cannot afford loss in production. Of late, the inter-seasonal and intra seasonal variations in weather are very frequent. The weather conditions observed were found to exceed even beyond known limits. Exceptional deviation from any one single weather parameter like air temperature, rainfall and wind can trigger considerable loss in production or sometimes even crop failure (Fig.12.1). Fig. 12.1: Components of a microclimate and its interlinkages Large scale weather modification is not practicable to a greater extent as uniform results cannot be expected under these conditions. There is need to explore cost effective management options that may significantly alter some weather parameter that is detrimental to crop production at field level by the farmers themselves. Therefore, microclimatic modification is an emerging technology to alter or change the unfavourable weather conditions detrimental to crop growth using cost effective and easily manageable techniques for minimizing the loss in crop production. The options for microclimatic modification have to be decided based on whether and the nature of weather aberrations. For example, dry spells are most common during rainy season in most of the arid and semi-arid regions. The farmers growing crops under rainfed conditions suffer considerable loss in production due to occurrence of dry spells as the crop experiences moisture stress. These dry spells may occur any time during the growing season. In such situations, the farmer needs to adopt a management option even before sowing a crop. Sometimes, the occurrence of weather aberration cannot be anticipated and the farmer has to prepare for adopting a management option based on weather forecast. Such measures are temporary and needs to be adopted to ward off the unfavourable weather conditions to a certain extent. Microclimatic modification can be a permanent, seasonal or temporary option depending upon the climate of the region. The crop microclimate refers to the climate just above and within the crop canopy and in the soil root zone that can be influenced by the day-today management practices. Microclimate modification is a measure to change or regulate the weather parameter at farm level. The microclimate management option also depends upon the nature and type of the soil as well.

Abstract

Tremendous hike inworld population has increased thrust on the limited resources which has considerably affected the viability of the food. The emerging challenge for policy makers and food scientists is to put forward viable solutions. Utilization of underutilized crops/plants that act as good sources of starch could be explored in a better way for the sustenance of the limited sources like food crops/plants. The demand for starch and the foods containing starch has been increasing continually. Since, the starch in its native form has certain limitations in its functional properties to be used for different applications. Therefore, it becomes important to explore certain technologies which could be used for modification of starch. Among different technologies gamma irradiation ensures food safety while inducing physicochemical changes of the components. Although, the chemical modifications have been used widely so far but the concerns related to the chemical residues left are diminishing their demand. Hence, the physical processes particularly the gamma irradiation process has emerged as an efficient alternative with some benefits over other process like eco-friendly, economical, reliable and safe for altering the physico-chemical and biological characteristics of the product. Gamma Irradiation of starch has been successfully employed for the achievement of some desired physico-chemical, biological and functional properties of the foods and other related items. In this chapter, valuable impact of gamma irradiation on the physico-chemical, biological and functional properties of starch has been summarized.

8.1. Documented ITKs on Moisture Conservation

The ITKs were documented under following specific categories

• Agronomic Measures
• Tillage
• Bunding & Terracing (Mech. & Vegetative barrier)
• Land Configuration
• Soil Amendment / Mulching
• Erosion Control & Runoff Diversion Structures
• Water Harvesting, Seepage Control & Ground Water Recharge

India is an agricultural country. The geographical area of India is about 328 mha out of which 147 mha of land under cultivation and 84-mha land is under irrigation. The population is increasing at an alarming rate that requires producing more food for the growing population. This problem can be solved either by increasing the land under irrigation or using different soil water conservation techniques. It is well known fact that during rainfall a considerable amount of water goes to sea due to high rate of runoff. It is highly needed to trap as much as water falling in the form of rainfall and recharge the groundwater so that it is made available for irrigation purposes.

Moisture plays by far the most important role in soils as regards vegetation. It is through the medium of water that the plants obtain their quota of mineral food vital for their growth. If water is gradually withheld from the soil, at a certain stage, the plant will begin to wilt and soon dry up. The soil may still contain some moisture but the plant is unable to make use of it. The minimum moisture in the soil below which wilting will take place is called the Wilting Coefficient and at one time great importance was attached to it. The determination of this Coefficient, however, is tedius. One must grow a number of plants and slowly watch them wilt and determine the moisture content at that point. Moisture content of the soil is determined by heating a weighed quantity of the sample in an oven kept at 100-110 ^oC. The moisture is expressed as percentage on the oven-dry soil.

Clouds play very important role on weather and climate. The formation of clouds takes place when water condenses in the sky. Clouds are visible accumulation of tiny water droplets and ice crystals in the Earth’s atmosphere. The moisture is always present in the atmosphere though it may not be visible. Clouds form when air becomes cooler until the water vapour present in it condenses to liquid form. The condensation over oceans occurs around solid particles like salt, dust, smoke etc. suspended in the atmosphere. The type of clouds depends upon temperature and wind. The clouds are classified based on physical appearance and the height at which clouds are formed (Fig. 7.1).

Term moisture stress is generally applied to the stomata opening and transpiration increases with time until they close due to high temperature.

5.1. Causes of moisture stress in plants

Main reason is extent of transpiration which is affected by leaf size and composition, size and distribution of stomata on leaf, atmospheric humidity, temperature, wind velocity and day length.

High atmospheric temperature due to intense sun and increased transpiration causes closure of stomata and wilting of leaves even, if soil moisture content is not limiting.

This deficit is made up during night due to decreased transpiration.

In plants, moisture content decreases either due to increased transpiration or reduction in absorption or both.

Abstract

Anantapur is the driest district of Andhra Pradesh and hence, agriculture conditions are very often precarious. Groundnut grows where other crops fail and thus it is the predominant crop of Anantapur district. Groundnut is grown in about 7.5 lakh ha in Anantapur district; however the average yields are low at 500 kg ha^-1. Among various available vegetation indices, normalised difference vegetation index (NDVI) is widely used for all reasons, which is a single numerical indicator of presence and condition of green vegetation. NDVI mapping at a regional scale helps to assess the spatial changes in the vigour of green vegetation and thus occurrence of any moisture stress. Climate tools have a great role in understanding the crop performance and estimating the yields. This study was taken up by using freely available MODIS data to understand NDVI in terms of abiotic stresses over Anantapur district and linking with the actual rainfall conditions, groundnut crop acreage and production. Results indicate that low groundnut yields in general could be related to NDVI-based stress measurements and rainfall quantum and distribution in the area however, with a few exceptions. It is hoped that by combining improved practices through IWM with climate-adapted crop varieties, rainfed farmers of Anantapur district can sustain their crop production under present climate variability and become resilient to future climate change.

Keywords: Climate, MODIS, NDVI, Anantapur, Groundnut, Integrated Watershed Management

Abstract

Nitrogen is the most essential nutrient for all plants and is also the major limiting factor in plant productivity. High yielding varieties of all crops are responsive to nitrogen but its ever-increasing use has shown detrimental impact on the environment along with extremely low use efficiency. Nitrogen use efficiency (NUE) in crop plants depends on various internal and external factors, which are dealt in detail. There has been a significant interest in genetic engineering of the crops to improve NUE. The use of biotechnological interventions by manipulating genes of the nitrogen utilization pathway to improve NUE has not been very successful. But transgenics/mutants with modified capacities for nitrate uptake, assimilation and remobilization have enhanced our understanding of the genetic control of NUE. In both cellular, and at whole plant level the mechanisms involved in N remobilization from the senescing organs towards the grain have recently gained importance but their understanding is still preliminary. Recent evidences have shown that grain filling during later stages of crop growth is supported by N recycling.

Introduction

Food supply is a major concern in the near future as the human population touches 9 billion in 2050 and therefore, more food has to be produced. This has to be achieved in the face of climate change amounting to constant pressure of biotic and abiotic stresses. However, Swaminathan (2007) opined that science and technology can play a very important role in stimulating and sustaining an evergreen revolution leading to long-term increases in productivity without associated ecological harm. Rice is considered as global grain since it is consumed by more than half of the world population. In India rice supplies calorie requirement to more than 70 per cent of its population. This is evident from the fact that rice is cultivated in all the 30 states and 5 union territories of the Indian subcontinent of diverse ecologies ranging from below sea level to mountainous regions. Though India tops in rice acreage (43.61 mha) its productivity of 3.19 t/ha (rough rice) is far below world average of 4.12 t/ha and that of Asia’s average of 4.19 t/ha (Shobharani et al., 2010). This low productivity is mainly due to unfavourable ecologies of the varied ecosystems which, rice encounters during critical stages of its growth. Salinity and submergence are major abiotic stresses, next to drought, limiting rice production in South East Asia including India.

In India nearly 8 mha are salt affected of which 2 mha are coastal saline and 3.4 mha are sodic (Singh, 1994). Rice is predominant crop in these areas especially in vast stretches of eastern and western coasts of India. The presence of salts, in excess to plant growth, in the soil solution makes the soil detrimental to crop growth. The source of the excess salt may be from soil or irrigation water. The content and composition of salts (ions) in tandem with types of soil and weather conditions prevailing during the crop period decides the severity of salt stress. Similarly, f lash floods or short-term submergence regularly affect rice growing areas in South and Southeast Asia. Even more favorable irrigated areas experience flooding problems during the monsoon season. It is also prevalent in rainfed lowlands where most of the present day rice varieties do not survive complete submergence for more than a week. In India 30% of the rice growing area is prone to such menace resulting in severe yield losses (Neeraja et al., 2007).

Molecular markers may be a short DNA sequence that flanks base pairs like SNP, a Single Nucleotude Polymorphism, small fragment or SSR Single Sequence Repeat or an extended site as in the case of microsatellites. Schematic representation of the SSR assay is shown in Fig. 1. Genetic markers have to be easily identified, linked to a specific locus and polymorphic. Molecular markers are subdivided into codominant monolocus and polyallelic markers and the second group contains dominant, polyallelic and biallelic markers. 

The diversity of the haloarchaea found within a crystallizer pond of a solar saltern located in Siridao and Ribandar, Goa, India was examined. Both cultured-based and culture independent methodology were employed which included  surface spreading of samples on different media containing 25% crude salt/NaCl, DNA extraction from sediment and water samples, amplification of 16S rRNA gene and DGGE.

ABSTRACT

Frankia is a gram-positive, microaerophilic, actinomycete that enters into symbiotic associations with a number of woody dicotyledonous plants called actinorhizal plants. Frankia can fix atmospheric nitrogen through such associations. The actinorhizal-Frankia association is beneficial for the environment, since it increases the fertility of soils. Extensive studies on the biochemical and molecular aspects helped in the classification of Frankia. PCR-RFLP studies of the 16S rRNA and the nif regions of Frankia revealed considerable information regarding the diversity of Frankia strains, isolated from different parts of the world. The completion of three whole genomes of Frankia has bolstered the study of the molecular organization of the genome. Comparative genomics study of the three complete genomes revealed that, the strains reflected the biogeographical history of the host plants they infected. Striking similarity in the codon usage patterns highlights the fact that they may have evolved as a unit. In the present review we highlighted the taxonomy of Frankia and the host plants, the Frankia-actinorhizal association, regulation of infectivity, biochemical and molecular characterization, phylogeny and genomics of Frankia and stressed the need for metabolomic study of the Frankia-actinorhizal association.

Monitoring and evaluation constitute systematic processes of tracking, assessing, and learning from program implementation and outcomes to improve performance, demonstrate accountability, and inform decision-making. These complementary yet distinct functions serve as essential management tools that enable organizations and programs to understand whether they are achieving their intended objectives, efficiently using resources, and creating desired changes in target populations or systems. The integration of monitoring and evaluation creates powerful feedback loops that enhance program effectiveness while providing evidence for policy development, resource allocation, and strategic planning. Monitoring is defined as the systematic and continuous collection, analysis, and use of information about program implementation, progress toward objectives, and changes in context that may affect program performance. It represents an ongoing process that tracks inputs, activities,

Key words : GPS, GIS, DSS, SDSS, RS, Digital Elevation Model (DEM), Ground Water Exploration, Conjunctive Use of Surface and Ground Water, Digital Terrain Modeling (DTM).

Introduction

Water is one of the most precious gifts of nature to living beings and particularly to the mankind. On account of erratic distribution of rainfall both in time and space, the country is subjected to cycles of floods and droughts. With the increase in demand for water for various purposes and to mitigate the twin problems of floods and droughts faced by the country, a coordinated approach for optimum utilization and proper management of this precious resource is of prime importance. In addition, proper development and management of both irrigation and drainage systems are essential. This would require integrated management of surface water as well as gorund water. All the water related problems whether mitigating droughts or floods or better irrigation management practices, dictate for adoption of state of the art water management practices. Water management deals with the control, distribution and allocation of water flows and the treatment of rivers and catchments, consequently, solutions to many of the problems in water management require the knowledge and expertise from diverse sources.

Abstract

While harnessing the benefits of genetically modified (GM) crops, in terms of increased yield, better nutritional quality and resistance to biotic and abiotic stresses, it is important to undertake biosafety and risk assessment studies in a systematic manner to allay the concerns of their impact on the environment and especially on the genetic diversity. Since Bt cotton is the only commercialized GM crop in India, this paper reports on the monitoring of unintentional introgression of transgene(s)/ regulatory elements of four commercialized Bt cotton events, covering 99.5% of the area under cultivation, in 180 ex situ cotton accessions conserved in the National Gene Bank at National Bureau of Plant Genetic Resources (NBPGR), New Delhi, using polymerase chain reaction (PCR)-based assays. Based on the real-time event-specific and conventional transgene-specific PCR assays, no amplification signals specific to two major Bt cotton events MON531, MON15985; transgenes/markers/ regulatory elements of 4 widely cultivated commercialized Bt cotton events, i.e., cry1Ac, cry2Ab, marker genes, i.e., nptII (neomycin phosphotransferase), aadA (aminoglycoside-3’-adenyltransferase) and uidA (?-D-glucuronidase) marker genes, CaMV35S, nos (nopaline synthase) promoters and nos terminator were detected in any of the cotton accessions. The study shows that the cotton accessions conserved in National Gene Bank are GM free and the study can be used as a model for monitoring the adventitious presence of unintended mixing of cotton seed during seed production or harvesting in Bt cotton growing states of India. On similar lines, adventitious presence of transgenes can be checked in ex situ collections of different crops conserved in the genebanks.

Monitoring the microclimate inside protected cultivation systems—such as greenhouses, polyhouses, net houses, and other semi-controlled environments— plays a crucial role in modern agricultural practices that aim to enhance crop productivity, quality, and resource efficiency. As global demand for high-quality and high-yield crops continues to rise, protected agriculture has become a key solution for mitigating the effects of climate variability, pest infestations, and limited available land. However, the effectiveness of these systems largely depends on the ability to continuously monitor and regulate the essential microclimatic factors that directly influence plant health, disease resistance, and overall productivity. Microclimate refers to the localized climate conditions within a specific area— in this case, within the protected structure—that can differ significantly from external environmental conditions. Key parameters typically monitored include temperature, relative humidity, solar radiation or light intensity, carbon dioxide (CO?) concentration, vapor pressure deficit (VPD), and air movement or circulation. These factors are interrelated, and even minor fluctuations can greatly impact plant health, photosynthesis, transpiration, and reproduction. Thus, accurate and continuous monitoring of these variables is essential for effective climate control and optimal crop growth.
Temperature is arguably the most critical variable, as it controls metabolic processes, enzyme function, flowering time, and fruit development. A deviation from the ideal temperature range can either accelerate or stunt plant growth, leading to reduced yields or even crop failure. In tropical or semi-arid climates, temperature spikes inside protected structures can result in heat stress, while in temperate or mountainous regions, low temperatures can hinder growth. To mitigate this, temperature sensors—such as thermistors, RTDs, or thermocouples— are placed at different heights and zones within the structure to ensure uniform monitoring. These sensors typically transmit real-time data to centralized systems that control heating, cooling, and ventilation systems. Along with temperature,

In the Indian sub-continent, monsoon is one of the oldest weather observations, an economically important weather pattern over June through September every year. Due to its effects on agriculture, flora and fauna, and other economic, social, and environmental effects, a monsoon is one of the most anticipated, followed and studied weather phenomena of the Indian subcontinent. The word 'monsoon' is derived from the Arabic word mawsim meaning season.

The term 'monsoon' is traditionally defined as a seasonal reversing wind accompanied by corresponding changes in precipitation, but is now used to describe seasonal changes in atmospheric circulation and precipitation associated with the asymmetric heating of land and sea. India Meteorological Department defines it as the seasonal reversals of the wind direction along the shores of the Indian Ocean, especially in the Arabian Sea, that blow from the south-west during one half of the year and from the north-east during the other half. The definitions include major wind systems that change direction seasonally. The cyclic change of wind and rain can be separated into the summer monsoon period characterised by warm and humid south-west winds, and the winter monsoon period characterised by dry and cool north-east winds. In fact, monsoon systems are a major feature of the general circulation of the atmosphere in subtropical latitudes of most regions of the world.

The word ‘monsoon’ is derived from the Arabic word mawsim meaning season. The Arabs during their travel towards India recognised that by June strong southwesterly winds commence over the Arabian Sea and bring a lot of rains to the subcontinent. The term was first used in English in British India and neighbouring countries to refer to the big seasonal winds blowing from the Bay of Bengal and Arabian Sea in the southwest bringing heavy rainfall to the area. In the Indian subcontinent, monsoon is one of the oldest weather observations, an economically important weather pattern over June through September every year, and the most anticipated weather event and unique weather phenomenon. Due to its effects on agriculture, flora and fauna, and other economic, social, and environmental effects, a monsoon is one of the most anticipated, followed and studied weather phenomena of the Indian subcontinent. It has significant impact on the overall well-being of subcontinent residents.

The term ‘monsoon’ is customarily used in India to refer to the rainy season during the northern hemisphere summer from June to September and is traditionally defined as a seasonal reversing wind accompanied by corresponding changes in precipitation, but is now used to describe seasonal changes in atmospheric circulation and precipitation associated with the asymmetric heating of land and sea. Now the term monsoon has been broadened to include almost all of the phenomena associated with the annual weather cycle within the tropical and subtropical land regions of the earth.

The word ‘monsoon’ is derived from the Arabic word mawsim meaning season. The Arabs during their travel towards India recognised that by June strong southwesterly winds commence over the Arabian Sea and bring a lot of rains to the subcontinent. The term was first used in English in British India and neighbouring countries to refer to the big seasonal winds blowing from the Bay of Bengal and Arabian Sea in the southwest bringing heavy rainfall to the area. In the Indian subcontinent, monsoon is one of the oldest weather observations, an economically important weather pattern over June through September every year, and the most anticipated weather event and unique weather phenomenon. Due to its effects on agriculture, flora and fauna, and other economic, social, and environmental effects, a monsoon is keenly followed and studied. It has significant impact on the overall well-being of subcontinent residents.

The term ‘monsoon’ is customarily used in India to refer to the rainy season during the northern hemisphere summer from June to September and is traditionally defined as a seasonal reversing wind accompanied by corresponding changes in precipitation, but is now used to describe seasonal changes in atmospheric circulation and precipitation associated with the asymmetric heating of land and sea. Now the term monsoon has been broadened to include almost all of the phenomena associated with the annual weather cycle within the tropical and subtropical land regions of the earth.

Intergovernmental Panel on Climate Change (IPCC) describes monsoon as a tropical and subtropical seasonal reversal in both the surface winds and associated precipitation, caused by differential heating between a continental-scale land mass and the adjacent ocean. India Meteorological Department defines it as the seasonal reversals of the wind direction along the shores of the Indian Ocean, especially in the Arabian Sea, that blow from the southwest during one half of the year and from the northeast during the other half.

The definitions include major wind systems that change direction seasonally. The cyclic change of wind and rain can be separated into the summer monsoon period characterised by warm and humid southwest winds, and the winter monsoon period characterised by dry and cool northeast winds. In fact, monsoon systems are a major feature of the general circulation of the atmosphere in subtropical latitudes of most regions of the world.

The Enigmatic Monsoons - Welcome to a fascinating exploration of one of Earth’s most powerful and life-giving atmospheric phenomena: the Monsoons. More than just seasonal winds and rains, monsoons are intricate dance performances between land, sea, and atmosphere, shaping the climate, ecology, and very fabric of life across vast stretches of our planet, particularly the Indian subcontinent.
The word “monsoon” itself, derived from the Arabic word “mausim” meaning season, hints at the fundamental characteristic of these weather systems: a seasonal reversal of wind direction. This seemingly simple shift, however, unleashes dramatic transformations. Imagine landscapes parched and brown under the relentless summer sun suddenly bursting into vibrant green as lifesustaining rains arrive. Picture bustling cities and serene villages alike adapting their rhythms to the ebb and flow of the monsoon’s arrival and departure. This is the profound influence of the monsoons.
This chapter will delve deep into the heart of these dynamic systems. We will unravel the complex interplay of factors that lead to the birth, progression, and eventual retreat of monsoonal winds and the associated precipitation. We will journey through the scientific understanding of the mechanisms driving these large-scale atmospheric circulations, exploring the roles of differential heating of land and sea, the influence of global pressure belts, the impact of the majestic Himalayas, and the intricate dynamics of atmospheric currents like the Jet Stream.
Beyond the scientific mechanics, we will also explore the profound impact of monsoons on the regions they dominate. For billions of people, particularly in South and Southeast Asia, the monsoon is not just weather; it is life itself. It dictates agricultural cycles, influences cultural traditions, and shapes economic activities. A good monsoon can bring prosperity, while a weak or erratic one can lead to hardship and even disaster.

The Enigmatic Monsoons - Welcome to a fascinating exploration of one of Earth’s most powerful and life-giving atmospheric phenomena: the
Monsoons. More than just seasonal winds and rains, monsoons are intricate dance performances between land, sea, and atmosphere, shaping the climate, ecology, and very fabric of life across vast stretches of our planet, particularly the Indian subcontinent.
The word “monsoon” itself, derived from the Arabic word “mausim” meaning season, hints at the fundamental characteristic of these weather systems: a seasonal reversal of wind direction. This seemingly simple shift, however, unleashes dramatic transformations. Imagine landscapes parched and brown under the relentless summer sun suddenly bursting into vibrant green as lifesustaining rains arrive. Picture bustling cities and serene villages alike adapting their rhythms to the ebb and flow of the monsoon’s arrival and departure. This is the profound influence of the monsoons.
This chapter will delve deep into the heart of these dynamic systems. We will unravel the complex interplay of factors that lead to the birth, progression, and eventual retreat of monsoonal winds and the associated precipitation. We will journey through the scientific understanding of the mechanisms driving these large-scale atmospheric circulations, exploring the roles of differential heating of land and sea, the influence of global pressure belts, the impact of the majestic Himalayas, and the intricate dynamics of atmospheric currents like the Jet Stream.
Beyond the scientific mechanics, we will also explore the profound impact of monsoons on the regions they dominate. For billions of people, particularly in South and Southeast Asia, the monsoon is not just weather; it is life itself. It dictates agricultural cycles, influences cultural traditions, and shapes economic activities. A good monsoon can bring prosperity, while a weak or erratic one can lead to hardship and even disaster.

The earth has two motions. (1) Rotation and (2) Revolution. The earth rotates about its axis (west to eastward) with a speed of 464 m/s or 1669 km/hr. Its angular speed of rotation is about 7.29 x 10^-5 radians/sec or 0.26244 radians per hour. This rotation causes day and night and diurnal variations of weather.

The rotating earth revolves round the sun in an elliptical orbit (with the sun at one of its Foci) with a speed (orbital speed) of about 1.073 x 10⁵ km/hr or 29770 m/s or 29.8 km/s. This revolution causes seasons. It has been stated earlier that the apparent path of the sun with respect to the celestial sphere is called ecliptic.

Irrigation status at the national level
Out of the 140 m ha of net sown area in the country, 50 m ha ia under irrigation working out to a percentage of about 35. In the different states, the net irrigation per cent varies from 12 in Mizoram to as high as 90 in Punjab. Though at national level the contribution from canal and under ground water are almost equal, yet in Assam, Himachal Pradesh, Orissa and the other North eastern states, it is predominantly canal system, while in Gujarat , Punjab, Rajasthan and Uttar Pradesh and ground water predominates as the source. In Tamil Nadu, tank irrigation is an important irrigation source with almost Quarter of the irrigated area under this system. In the other southern states as well as in Orissa also tank system is in vogue to a considerable extent. The unscientific water use in both canal and lift irrigated commands has resulted in raising water table in the first case and fast receding ground water table in the second case. Thus, there is an imminent need for reducing the irrigation water application in agriculture with out affecting the yield and there by increasing the Water Use Efficiency (WUE) The options for increasing the water productivity/improve the WUE are discussed here.
Prevention of water losses in transportation system
Huge quantity of water is lost during the transportation of water from the source (reservoir/main canal! tank/ wells) to the field and till it reaches the root zone. Hardly 20 to 40 per cent of the water released reaches the root zone. The irrigation efficiency can be increased by the selection of proper method of irrigation along with proper design. Apart from the high evaporative and seepage losses occurring at the reservoirs and main canal, considerable amount of water is lost as seepage and evaporation in minors, distributaries, field channel etc. The losses occurring in a typical project in the alluvial plains as reported by the Second Irrigation Commission is given in table 2.

It is estimated that the country needs about 245mt of food grains, 30mt of sugar and jaggery, 7 lakh of tea, 1.7 lakh t of coffee, 10mt of vegetable oil and 17m bales of cotton. For realizing this, irrigated agriculture has to play an important role. To achieve this water use efficiency (WUE) in the irrigation sector has to be improved considerably as bulk of the available water is used in agriculture. But, with the ever-increasing population and industrialization problems, the demand for water by these sectors is bound to increase manyfolds in future. The requirement of water by different sectors during 2025 is estimated to be 105 m ham, which is 30 m ha m more than the present one. The share of water utilization for agriculture is expected to get reduced from the present percentage of 8~ to a value of 73 by 2025. Further, the demand for water for agricultural purposes is estimated to increase from 470 krrr’ to 740 krrr’ in a period of four decades (Table 1). During the same period there will be four­fold increase in the water demand for non-agriculture purposes.

Abstract

There is a consensus amongst the geoscientists that overall there has been progradation along the east and west coasts of peninsular India. However, the present day configuration of the coasts and some of the geomorphologic features such as absence of spit and delta along west coast and absence of major estuaries and petroliferous structures along east coast still remain controversial. The present study, based on the appreciation of certain geomorphological and tectonic features on Landsat imagery and aerial photographs of southern part of Indian Peninsula, suggests that the evolution of the coastline has been mainly controlled by tectonism.

The tapering nature of the coastline is attributed to the Precambrian orographic axis. The serrated nature of the post Precambrian coast line is due to the Precambrian transverse faults, whereas the serrated margin of the post Gondwana, Post cretaceous and post Tertiary coast lines are attributed once again to the Precambrian faults reactivated time and again. During the Quaternary period the coast line has undergone many modifications. The coast line attained sinuosity due to Pleistocene folding which is well manifested by river migration. The coast line was subsequently faulted and shifted with en echelon pattern due to N-S regional compression which is referable to the collision of Indian Plate with Tibetan plate.

Abstract

Sesame (Sesamum indicum L.) is known as the king of oil seeds in India due to the high oil content (50-54%) of its seed. The purpose of this study was to evaluate morphology of sesame under high temperature stress. Seventeen released varieties of sesame (Sesame indicum L.) were studied during kharif 2009 under rainfed conditions. Analysis of variance on ten quantitative and qualitative traits was carried out. The mean, range, phenotypic and genotypic variation, heritability in broad sense and genetic advance were calculated.

Mosaic is the combination of two or more raster images into single image. Sometimes, single image captured by remote sensing satellite doesn’t completely covers the desired study area mostly. Therefore, users resort for mosaicking two or more images captured by satellite sensors from different paths so that the whole study area is merged into a single raster image to facilitate the image processing and analysis. The pixel size of the raster images should be same for mosaicking.

In most of the cases, there is spatial overlapping among the raster images from which we want to create mosaic. These overlapping areas are handled in multiple ways which is being discussed further using R – code example. For mosaicking raster images in R, mosaic function of the raster package is used.