eChapters

1. Introduction

Gender remains a critically important and largely ignored lens to view development issues across the world (Jayaraman, 2017). Gender inequality is the greatest human rights challenge of our time and also a critical economic, moral and social challenge (UN, 2015). There exists a significant gender gap in various sectors such as health, labour market opportunities, education and political representation all over the world. This mostly cause the restriction of women to stay at home for household chores. However, the associated disempowerment resulting from the adverse effects of restricting their way around outside world are seldom addressed in the development evaluation and monitoring processes (UNICEF, 2019). Therefore, gender equality and women empowerment are made explicit throughout the Sustainable Development Goals (SDGs). Drawing urgency to these efforts, SDG5 aims on full gender equality and women empowerment as a cross-cutting theme along with more than 30 related targets across other SDGs.

According to FAO (2011), rural women constitute about 43 percent of world’s agricultural labour force and are the agents of change and resilience builders. Even then they undergo greater constraints compared to the men counterparts in accessing technological interventions, productive resources, market information, services and financial assets. The contribution of women to food security often remains undervalued and invisible (FAO, 2011). This leads to inadequate reflection of women’s role in policy, legal and institutional frameworks. These have created difficult situations for them to address the multiple tasks of natural resource management, child rearing and family well-being, without more rural women inclusive development interventions. There would be a drastic reduction in the number of hungry population and malnourished children in the world if women had the same access as men to productive resources which in

turn helps to increase yields on their farms significantly (FAO, 2018). Furthermore, they are also under-represented in grassroot level institutions and administrative mechanisms and assumed to have less decision-making ability. In addition to these constraints, women face an imprudent work burden, at the same time much of their labour remains unpaid and unrecognized under the prevailing gender norms and discrimination. It is high time to include them in decision making process within the households, communities and institutions and thus to enhance women’s participation in governance (Bayeh, 2016).

1. Introduction

The intricate relationship between agriculture and women has been widely featured in the development discourse for long. Globally, more than 400 million women are engaged in farm work directly or indirectly. In other words, 42 per cent of economically active women are engaged in agriculture and they comprise about 43 per cent of the total workforce in agriculture (Dash and Srinath, 2013). In India, agriculture and allied sectors continue to be the most immediate avenues of employment and income for about 160 million rural women who work as farmers, co-farmers, farm labourers and farm entrepreneurs (Oxfam 2017; Sadangi et al., 2009). It is estimated that about 65 per cent of rural women workers are engaged in agriculture as cultivators and agricultural labourers in the country as opposed to 49.8 per cent of male workers. In these capacities, women perform multiple tasks such as land preparation, sowing, transplantation, harvesting and rearing of animals. Most of these operations are labour intensive and not mechanized (Pachauri, 2019). Besides, they are engaged in off-farm domestic activities such as cooking, cleaning, childcare, water and fuel collection and community activities. Shrinking remunerative opportunities in the farming sector has triggered migration of rural male folk to urban areas and also there is a shift in their job priorities to pursue employment in the rural non-farm sector in recent years. Since women did not feature predominantly in either of these trends, most of them are still engaged in agriculture, mostly as labourers and cultivators (Mehrotra, 2020). Vindicated by the fact that the number of female agricultural labourers in India increased by 24 per cent between 2001 and 2011, even though 7.7 million farmers left farming during the corresponding period. During the period when up to 34 per cent of men in rural areas migrated in search of employment and better economic opportunities, the corresponding figure for rural women is merely 3.6 per cent. A recent study of National Sample Survey Office (NSSO) found that 55 per cent of employed women in India

Today, health promotion of the poor has emerged, worldwide, as a vital area for policy research and action. Healthcare is the responsibility of the constituent states and territories of India.

Food security: Gender dimensions

Standards have improved gradually over a period of years. But the burden of ill health is borne disproportionately by different population subgroups and people of lower socio-economic status, especially women, as they consistently experience poor health outcomes. Gender inequality leads to food insecurity and is also its leading cause. National food security is largely dependent on agricultural sector. The FAO articulates that food security is achieved when people at the individual, household, national, regional and global levels, at all times, have physical, social and economic access to sufficient, safe and nutritious food to meet their dietary needs and food preferences for a healthy and active life.

Rural women rarely own a control land and lack access to agricultural inputs, technology, training, extension services and marketing services. Despite being major contributors to agricultural production, they have little or no access to the means of production. They face restrictions in mobility due to social conditions, hence face a narrower range of labour markets than men including harsh working conditions and lower wage rates.

2.1. What is Greenhouse Technology?

Greenhouse technology involves primarily the structural design that can take care of climate control mechanisms to create proper micro-crop-climate and secondarily it involves the technology needed for optimum growth and production of crop grown under this structure. Combination of these two aspects may be expressed as ‘greenhouse technology’.

So the ‘greenhouse technology’ may be defined as “The technology required to built a structure, covered fully, partly or porously for manipulating the inside climatic conditions, under which crops/plants can be grown with special measures”.

1. Proteins in solution absorb ultraviolet light with absorbance maxima at 280 and 200 nm. Amino acids with aromatic rings are the primary reason for the absorbance peak at 280 nm. Peptide bonds are primarily responsible for the peak at 200 nm.
2. Aromatic amino acids tyrosine and tryptophan give proteins their characteristic ultraviolet (UV) absorption at 280 nm, which is routinely used to estimate protein concentration. Phenylalanine and disulfide bonds also contribute to absorption at 280 nm, albeit slightly.

1.1. Introduction

The significance of milk as the most wholesome single food available in nature has never been debated. It is as ancient as mankind itself, as it is the substance created to feed the mammalian infant. All species of mammals, from the lowly rat to the mighty whale, produce milk for this purpose. Several centuries ago, perhaps as early as 6000-8000 BC, ancient man learned to domesticate species of animals for obtaining their milk for consumption. These included cows, buffalos, sheep, goats and camels, all of which are still used in various parts of the world for the production of milk for human use (Fig. 1.1 & 1.2).

Nature has made such a beautiful system that a fruit does not spoil unless its outer covering is removed and till it is there on the plant. For example banana will not spoil for long time if we do not remove its peel. Similar is the case with apple, guava, mango and many other fruits and vegetables. But as soon as the outer covering is removed the damage begins and the commodity is spoilt very soon.

Preservation is extending shelf life of fresh or processed food by using various methods and prevention or reduction of spoilage. Better the preservation, lesser the spoilage, more the spoilage poorer and inefficient is the preservation.

Therefore, in order to prevent or reduce the spoilage, we have to first identify and understand the causes of spoilage. There are chiefly 3 agencies that cause spoilage in fruits and vegetables i.e. (i) microorganisms, (ii) enzymes & chemical changes and (iii) man, animals, rodents, insects, etc. For effective preservation we have to check the growth and activity of these spoilage causing agencies. So, in order to prevent spoilage and preserve a perishable commodity for long time the following principles and methods are to be followed.

Abstract

Rural women play a vital role in farming system operations and contribute substantially in the physical aspect of farming, livestock management, postharvest and allied activities. Around 43% of the agricultural labour force of developing countries is composed of women dependency. India has achieved self sufficiency in agricultural production, but a considerable amount of production gets spoiled in every year due to inadequate post-harvest management, processing, infrastructure and skill. To uplift the livelihood and economic conditions of the rural women there is an urgent need to impart trainings for skill development regarding the value addition of horticultural crops. This offers tremendous opportunities for women occupation but also inculcate entrepreneurial characteristics in them. Trainings and skill development are useful for rural women as they can add more value to the seasonal fruits and vegetables and generate varieties of products namely Pickle, Murabbaa, Chutney, Jam, Sharbat etc. These efforts enhance their family income by around 30-40 thousands per annum as they fetch more prices of raw produce after processing. Moreover during peak production times glut only promote produce and profit loss. Instead of direct marketing of their produce they can do value addition of their produce and then sell them in market, it not only increases the value of their products but the prices also enhance by many folds. After giving training to rural women, they are motivated to go for self marketing of their produce at domestic and village level. Similar way these trainings can transform the life style and income level of farming families comprehensively.

The narrow sense heritability estimates were high for days to first flowering, plant height at first flowering, number of leaves at first flowering, plant height at maturity, productive tillers per plant, boot leaf area, 100 grain weight, grain length and grain L/B ratio. These characters may be controlled by additive genetic variance. This indicated that the individual genotype can be evaluated readily from their phenotypic expression. Simple selection would more effective in the sets of materials exhibiting greater additive genetic variability and desirable mean performance. Thus, it merit selection in the next generation. On the other hand, the remaining traits may largely be controlled by non-additive genetic variance or the number of genes controlling these traits may be more, or these traits may largely be influenced by a large number of modifiers or might be largely influenced by environment. As the effects of the environmental variance were generally low, the observed low heritability for the above traits might be due other factors other than environment. These traits are hard to improve by selection. It necessitates progeny testing.

The relative magnitude of different gene effects and an understanding of the mode of inheritance of complex quantitative traits have a direct bearing on the method of hybridization and selection which should be adopted in a specific breeding programme. Useful biometrical methods have been developed by the Birmingham group of scientists, to analyse the genetic architecture in organisms, through the use of first and second degree statistics obtainable from the true breeding inbreds, their first generation crosses and the different types of segregating progenies (Mather, 1949; Hayman, 1958; Gamble, 1962; Mather and Jinks, 1971). Since then this method has been widely used in the genetic analysis of various crops.

Generation of new genetic variability through recombination breeding followed by appropriate selection procedure is one of the key factor for crop improvement. Gain in selection is restricted by correlated response of agronomically desirable as well as undesirable characters. There is a host of examples in various crop species where genes for desirable agronomic traits have been found to be closely linked with those governing undesirable characters (Murthy, 1971; Clegg et al., 1972). Such close linkages delay the realization of the full recombination potential in many crops. The biparental mating or the disruptive mating scheme, finds its importance in the improvement of autgamous speice,s because it increases the probabilities of obtaining useful recombinants as compared to selection without intermating (Hanson, 1959; Jensen, 1970).

In contrast to classical pedigree breeding, random mating population could produce large amounts of variability. This variability can be maintained in the population by the use of recurrent intermating, while the population is improved by selection. According to the standard breeding methodology in self-pollinated crops selection for quantitative characters are generally taken up in early segregating generations. For characters like yield, selection is continued till the material becomes homozygous. Such characters are controlled by large number of genes and a very large population has to be raised to make selection effective. Since most plant breeders could never grow the theoretically required size of population, the recombination is highly restricted. It is likely that many of the valuable genes may be practically lost in the process of advancing the material by continued selfing the generations. Andrus (1963) suggested crossing of selected sibs in early generation for reassembling the genes capable of functioning in a balanced polygenic system.

Eswaran (2007) made genetic analysis of six parents and their 30 hybrids of Okra with the method of analysis proposed by Hayman (1954b). He estimated the various genetic parameters viz., _D?, _F?, H?₁, H?² and Ê as well as the various genetic ratio. The results are presented in Tables 69 and 70.

The estimates of _D? were significant for seven out of ten characters studied. This indicated that the component of variation due to additive genetic variance was important for days to seedling emergence, number of first fruiting node, height of first fruiting node, plant height, days to first picking, number of fruits per plant and fruit weight. These characters could be improved by resorting to simple selection. The estimates of H? ₁and H? ₂were positive and significant for almost all the characters studied. It indicated that there were unequal frequency of alleles i.e., u ¹ v at all the loci, in this context, ‘u’ refers to the frequency of alleles which increase the mean expression of the character and are situated at loci which exhibited dominance. On the other hand, ‘v’ corresponds to the frequency of alleles at loci that decreases the expression of the character. Further proof for the unequal distribution of the alleles over loci was obtained

Among the different biometrical methods available, triple test cross analysis is one of the most efficient designs currently available for investigating the genetic structure of populations. It provides a test of epistasis and in its absence it gives independent and equally precise estimates of additive and dominance genetic components (Mather and Jinks, 1982).

11.1. Statistical analysis

Triple test cross

Jinks and Perkins (1970) method was applied to detect epistasis and estimate additive and dominance components of genetic variance.

Genetic architecture of a population is the result of prolonged natural selection. The populations which exist in diverse environments might have been strongly diversified genetically. So, it is necessary to understand the extent and rates of genetic divergence existing between the diversified forms or types. Genetic diversity may be available in improved germplasm or it may exist only in genetically inferior stocks.

Genetic divergence among the parents is important in self pollinated crops because a cross involving genetically diverse parents is likely to produce high heterozygous as well as heterotic effect. In such a cross, more variability could be expected in the segregating generations due to the accumulation of the genes of both the parents. Genetic divergence, as one of the criteria of selection of parents is considered in plant breeding as early as 1962 (Murthy et al., 1962; Timothy, 1963). Later, Joshi and Dhawan (1966), Murthy and Arunachalam (1966), Arunachalam et al. (1984) and Lefort-Buson (1987) also stated that for exploiting heterosis as a means of increasing production, it is necessary to have parents of maximum divergence. The more diverse the parents, more is the chance of pronounced heterotic effects and increased spectrum of variability in the segregating generations.

The availability of statistical tools to quantitatively measure the genetic divergence between two or more populations and the relative contribution of individual characters to the total divergence have permitted to trace the evolutionary patterns in some crops such as rice and tobacco and in choosing the parents for hybridization in crop plants (Rao, 1958; Blackith, 1960; Morishima and Oka, 1960; Murthy et al., 1962). Among the several statistical methods developed for measuring the divergence between the populations, multivariate analysis (D² statistic) developed by Mahalanobis in 1936, has been found to be a potent tool. Mahalanbobis’s D² statistic is an effective tool in quantifying the degree of divergence at genetic level and provides a quantitative measure of the association between geographic and genetic diversity based on generalized distance. It is now known that the estimates of genetic divergence are also influenced by environments and seasons. Therefore, if the divergence analysis is conducted in a number of seasons and parents are selected on the basis of consistent divergence over the seasons, the problem of influence of seasons on divergence analysis can be largely overcome.

Abstract

The genetic improvement of crop plants is possible only through employing an appropriate breeding technique. The use of plant breeding technique depends on mode of pollination and reproduction of plant species e.g. selection and hybridization are used in sexually reproduced species, while clonal selection in asexually propagated plant species. The plant species/ varieties are usually derived through conventional techniques (vi z. introduction, selection, hybridization etc.), which are commonly used in various breeding programmes, while some modern techniques viz. transgenic breeding and marker assisted selection etc. are also available which are equally effective for improvement of all crop species. Various techniques applied for development of new varieties and hybrids are briefly described in this section.

Plant breeding is an art, science and technology of improving genetic make-up of crop plants in relation to their economic usefulness for mankind. Various techniques/methods of breeding used for genetic improvement of crop plants are: introduction, selection, hybridization, mutation, transgenic breeding etc.

Classification of Breeding Techniques: Plant breeding techniques are classified as conventional and modern breeding techniques.

Any crop improvement programme primarily depends on the amount of genetic variability available and the extent to which the economic traits are heritable. A wide survey of genetic variability and a thorough understanding of the genetic makeup of the crop with the biometrial tools is very much indispensable for initiating an effective breeding programme.

Effectiveness in breeding programme depends upon three main factors viz., (i) the extent of genetic variation available, (ii) heritabiity of the variation and (iii) intensity of the selection pressure that can be applied. As most of the characters of economic importance and related characters which influence the performance of the economic character in a given set of environment are highly influenced by the environmental conditions, the heritable (genotypic) variation usually masked by non-heritable (environmental) variation and thereby creates difficulty in exercising the selection. Hence, it becomes necessary to partition the overall variability into heritable and non-heritable components to enable the breeders to plan for proper breeding programme.

The estimates of mean, variance and standard error are worked out by adopting the standard methods of Panse and Sukhatme (1961). Usually, randomized block design is the choice of the statistical design. Various genetic parameters are worked out from the mean squares. Assessment of genetic variation is usually made through the computation of genotypic variance and genotypic coefficient of variation. The proportion of the total genetic variance expressed as percentage of total phenotypic variance has been used as a measure of genetic variability of heritability in broad sense.

GENETIC ENGINEERING

Genetic engineering is a means of improving the food supply even before harvest or slaughter by improving yields, increasing disease resistance, and enhancing the nutritional qualities of various foods. Broadly speaking, genetic engineering refers to any deliberate alteration of an organism’s DNA. Genetic engineering has been practiced for thousands of years, ever since humans began selectively breeding plants and animals to create more nutritious, better tasting foods. In the past two decades, genetic engineering has become increasingly powerful as scientific advances have enabled the direct alteration of genetic material. Genetic engineering is alternately called as ‘ recombinant DNA technology’ or ‘gene cloning’. Genes have been cut and pasted from one species to another, yielding, for example, disease- resistant squash and rice, frost-resistant potatoes and strawberries, and tomatoes that ripen-and therefore spoil-more slowly.

Genetically modified organism (GMO) is a microbe or more complex plant or animal in which DNA has been altered for a particular purpose such as manufacturing proteins, making improvement to the organism, research into the nature of genes and biological process, correcting genetic defects.

This chapter introduces genetic principles used to improve wool production and quality. It examines heritable traits including fibre diameter, clean fleece weight, staple length, staple strength, diameter variability and freedom from faults. Selection differential, response to selection, selection indices and crossbreeding strategies are discussed. The chapter also introduces objective measurement, genomic selection, reproductive technologies and electronic recording systems as modern tools for accelerating genetic improvement and producing more valuable and uniform fleeces.

Abstract

The balance between resources and population constitute the solid base for drawing the future map of sustainable development in the study area in all developmental sectors such as agriculture, industry, tourism, and commercial sectors. Geoenvironmental hazards such as erosion, sea level changes, sand dune encroachment, siltation of the navigation channel of the Damietta harbor, salinization of the soils, the negative effects of the protective structures and bad management of the coastal areas must be studied in details before making the future planning for any area. The main geomorphologic units in this area are: beaches, sand dunes, wetlands, urban areas, reclamation lands and lagoons.

The rate of erosion from 1984 to 2000 in the Rosetta beach is -117.6 m/yr, while it is -17.6 m/yr in the Damietta beach. On the other hand, the rate of erosion in the period from 1984 to 2005 is -104.6 m/yr and -11.4 m/yr in Rosetta and Damietta beaches, respectively. Since, Nile Delta is a typical wave dominated delta (Coleman et al., 1981) and Tide is a semi-diurnal microtidal regime with a maximum tidal range of 50 cm (UNESCO/UNDP, 1978), the erosion and accretion are very dangerous hazard in the area.

Due to the reclamation of vast areas of the coastal dunes, the lagoons and wetlands, the new reclaimed lands are added to the agricultural deltaic land. Thus, the coastal sand dunes, lagoons and wetlands are decreased. The main urban centers have expanded, and new urban centers (Damietta harbor, the New Damietta city and Mansoura city in near future) have been constructed at the expense of vast areas of lagoons, coastal dunes, and backshore flats. The siltation of the navigation canal of the Damietta harbor, salting of the soil (new and old) and sand dune encroachment are very important hazards in the study area. All the previous geoenvironmental hazards and others threaten the sustainable development in the study area.