eChapters

Higher plants demand certain basic things for their growth. As many as 52 factors (basic things) influencing crop growth have been identified :

• 100 per cent of the land has sufficient CO₂ in the atmosphere and sunlight
• 83 per cent have favourable temperature
• 64 per cent have favourable topography
• 46 per cent have reliable rainfall
• 40 per cent have satisfactory fertile land

It is supposed that man was evolved on earth about 15 lakh years ago. This man started to move by standing erect on his feet and called Homo erectus L. Later the modern man was evolved called Homo sapiens L. (Sapiens means learning habit) due to his continuous learning habit. It is difficult to trace the exact period of beginning of agriculture. Archeological evidences indicated that, Agriculture started about 50,000 years ago.

Hunting was the primary source of food in olden days and was prevailed for long time. They obtained his food through domestication of some animals like dogs, horse, cow, buffalo etc. They live in the periphery of the forest and migrate from one place to another in search of food. It was not comfortable and they started enjoying by settling at one place near the river and started agricultural system.

Agronomy is a branch of applied science deals with the principles and practices of field crops production and management of soil for higher productivity. The term Agronomy is derived from Greek word agros meaning field and nomos meaning to manage.

Norman (1980) defined Agronomy as the science of manipulating the crop environmental complex with dual aims of improving Agricultural productivity and gaining a degree of understanding of the process involved.

In recent times, Agronomy has assumed newer dimensions and can be defined as ‘A branch of Agricultural science that deals with the methods which provide favourable environment to the crops for higher productivity’.

Agriculture

The term agriculture is derived from Latin word ager or agri meaning soil and cultura meaning cultivation. Agriculture is a broad term encompassing all aspects of crop production, livestock farming, fisheries, forestry etc. Agriculture is a branch of applied science and is the art of farming including the of cultivating the soil for producing crops and raising livestock. There are three main spheres of agriculture-geoponic meaning cultivation in soil, hydroponic meaning cultivation in water and aeroponic meaning cultivation in air.

Agriculture is a productive unit where the gifts of nature like land, light, water and temperature are integrated into a single primary unit that is crop plant which is indispensable for human beings. The secondary productive units of agriculture are animals including livestock, birds and insects which feed on the primary units and provide concentrated products such as meat, milk, wool, eggs, honey, silk and lac.

An experiment is a systematic process or activity which leads to collection of information on certain objects to give an answer to the objectives of the researcher.

The experiment in which certain absolute values like average, correlation coefficient, median, mode, etc are worked out to describe the population is known as absolute experiment.

The experiment in which the effects of different objects under consideration are compared is known as comparative experiment.

The variable whose change we wish to study is called as Response variable. For example- yield, mortality rate of insects etc.

The variable whose effect on the response variable we wish to study is termed as Factor. For example - variety, fertilizer, insecticide etc.

Here factor is the independent variable and response variable is the dependent variable.

The various levels of a factor whose effect on the response variable we wish to study are known as Treatment.

Chi-square test is a non-parametric test as the null hypothesis does not contain any assumption regarding the population parameter. Chi-square is also written as c₂. In this chapter two uses of chi-square test will be dealt with. They are the following :

Samples having size, n - 30 are known as large sample. For large values of n (i.e., for n - 30), almost all the distributions are very closely approximated by normal distribution. Thus in this case we apply the normal test, which is based upon the area property of the normal probability curve. Large Sample Test is also known as Z-test or SND (Standard Normal Deviate) test.

A sample is said to be small sample if the sample size(n) is less than 30. Various small sample tests are: (i) t-test (ii) F-test

t-test performs the following tests for small sample(s).

1. To test the equality between a single sample mean and the assumed population mean.
2. To test the equality of two independent sample means.
3. To test the equality of two paired sample means.
4. To test the equality between sample correlation coefficient and the assumed population correlation coefficient

The aggregate of data forming a subject of investigation is known as population. Example, All the crop plants grown in a plot; all the fruit plants in an orchard, etc. The population may be:

1. Finite: No. of observations are definite. e.g., number of farms in a village, no. of house in a locality, no. of trees in an orchard are all finite population.
2. Infinite: Number of observation are indefinite e.g., (a) Number of insects in a region, number of grasses in a field etc. are all infinite population.

The Population may be:

1. hypothetical or theoretical

   Hypothetical population consists of unit that has no physical existence. This population exists only in imagination. For example, Result of tossing coin, throwing die,

2. Existent or real population consists of units that are physically present. This population actually exists. For example, Number of employees in a factory, Number of farms in a village.

Concept of correlation was given by Karl Pearson in 1890.

The study of strength and nature of relationship between two variables is called correlation. Two variables are said to be correlated, if the change in one variable affects the other variable. Correlation is also known as covariation.

Bivariate Distribution: Distribution involving two variables is known as bivariate distribution. For example, Height and weight of persons, yield and production of a crop in.

On basis of type of association between variables, correlation is of two types:

Random variable: A random variable is a variable that assumes numerical values associated with the events of a random experiment whose outcomes cannot be predicted with certainty. For example, Height of rice plants in a field; seed weight; No. of tillers per rice plant.

A random variable is of two types:-

1. Discrete random variable: The random variable which takes only countable values i.e., integral values. For Example, Number of tillers per rice plant. Here there can be finite no. of values between any two values.
2. Continuous random variables: The random variable which takes values within intervals. These values cannot be counted but can only be measured. Here there can be infinite no. of values between any two values for example, Height of rice plants in field; seed weight.

In some experiments the result can be predicted with certainty. For example, the bulb will stop glowing when switched off, the evolution of hydrogen gas when zinc reacts with dilute hydrochloric acid. Such phenomenon where the result can be predicted with certainty is known as deterministic phenomenon. But in some experiments the result cannot be predicted with certainty. For example, Sales of a firm, profit made by a company, yield of a crop, etc. Such phenomenon where the result cannot be predicted with certainty are known as probabilistic or random phenomenon. Such phenomena are frequently observed in economics, business, agriculture, social science, biology, etc., and in our day to day life.

The theory of probability is a very important branch of statistics which provides a numerical measure of uncertainty.

Literal meaning of dispersion is scatterdness. We study dispersion to have an idea about the homogeneity and heterogeneity of the distribution. Dispersion gives an idea about how much the values of the observation varies from their averages. The series in which the values of the observation differ much from their averages is said to be heterogeneous or highly dispersed. The series in which the value of the observation does not differ much from their averages is said to be homogenous or less dispersed.

There are two types of measures of dispersion:

Measures of central tendency are also known as averages. Averages are defined as statistical constants which enable us to understand in a single effort, the significance of the whole i.e., they are the representative value of the distribution. They give an idea about the concentration of the values in the central part of the distribution.

Five Types of Averages

Arithmetic Mean

It is the sum of all the observations divided by the number of observation.

For individual data or simple series (i.e., series in which all values have single frequency)

Presentation of data is done in form of diagram and graphs.

Diagrammatic Presentation: The data are presented in form of diagrams

The important diagrammatic presentations are simple bar diagram, multiple bar diagram, component bar diagram, percentage bar diagram & pie diagram.

Selection of diagram depends upon the nature of classification, number of characters involved and the type of comparison required to be made. In all the diagrams, the groups or classes are represented on the X-axis and the volumes or frequencies are represented in the Y-axis. The title of these visual aids should be self-explanatory.

1. Simple Bar Diagram: Simple bar diagrams consist of vertical bars of equal width. The height of these bars is proportional to the magnitude of the attribute. All bars are separated from each other by equal intervals. Simple bar diagram is used if the classification is based on attributes and if the attributes are to be compared with respect to a single character. For example, the area under different crops in a state, the production of mangoes in different years for a state, the yield of a variety at different fertilizer level, etc, can be represented by the simple bar diagram. Also the yield performance of different varieties of a crop, the effects of different treatments etc, can be compared using simple bar diagrams.

Frequency distribution table is a statistical table which shows the sets of all distinct values of the variables arranged in order of their magnitude either individually or in groups with their corresponding frequencies side by side.

Need for frequency distribution table

1. To condense the data
2. To provides quick reference for the entire data
3. To facilitate quick & easy statistical analysis of data
4. To reveal the pattern within the data

The word ‘statistics’ has been derived from the Latin Word ‘Status’ which means ‘Political State’. The word statistics has been coined by Gottfried Aschenwall, a German Political Scientist. Ronald Aylmer Fisher is regarded as father of modern statistics. The word statistics has meaning both in plural and singular sense. In plural sense, it means quantitative/qualitative figures. For example, the area under food grains in different states of India, the production of guava in different states of India, germination percentage of seeds, etc.. In singular sense, it means as a subject i.e., method of dealing with the quantitative/qualitative information.

Statistics is defined as scientific method which deals with collection, organization presentation, analysis and interpretation of data. It is included under both science and arts. Statistics is used as a tool to obtain knowledge on other subjects of science.

Abstract

The use of plants for treating diseases is as old as the human species. Popular observations on theuseandefficacyof medicinal plants significantly contribute to the disclosure of their therapeutic properties, so that they are frequently prescribed, even if their chemical constituents are not always completely known. Medicinal plants have therapeutic potential due to the presence of natural antioxidants functioning as reducing agents, free radical scavengers and quenchers of singlet oxygen. Majority of their antioxidant activity is due to bioactive compounds viz. flavones, isoflavones, flavonoids, anthocyanins, coumarins, lignans, catechins and isocatechins. They have been recognized to possess several medicinal properties (diuretic, expectorant, laxative, anti- bacterial, anti-pyretic etc.) and have been effectively used in the indigenous systems of medicine in India and other countries. Apart from the traditional use, a number of beneficial physiological effects have been identified by extensive studies. Among these are their beneficial effects on lipid metabolism, efficiency as antidiabetics, ability to stimulate digestion and to inhibit platelet aggregation, antioxidant, antilithogenic and anti-inflammatory potential.In this chapter an attempt has made to elucidate and understand the chemical and medicinal properties of Stavar and Safed musli those are using as medicine. These may also use as ingredients for preparation of herbal food products.

Abstract

Fats and oils are one of the five essential ingredients of human diet and the others are protein, carbohydrates, minerals and vitamins. The oil seeds are major source of edible in world. Oils and fat form an important constituent of human food. Lipid metabolism generates many bioactive lipid molecules, which are fundamental mediators of multiple signaling pathways and they are also indispensable compounds of cell membranes. Many people in developing countries, especially children under five years of age suffer from acute or chronic protein and energy shortages. There is definitely a need for food production to keep pace with the increase in the number of the world’s population. Oilseed and nut should be properly dried before storage, and cleaned to remove sand, dust, leaves and other contaminants. All raw materials should be sorted to remove stones and moudly nuts. Some moulds, especially in the case of groundnuts, can cause aflatoxin poisoning.

Introduction

Oil has been a vital part of people’s regular dietary consumption all over the world and its usage has been found to increase several folds over the decades. The importance of using the appropriate oil for cooking goes a long way in affecting the consumer’s health. Improper methods of oil-aided cooking can lead to cardiovascular diseases and increased cholesterol in the blood (Kumar et al., 2018). There is definitely a need for food production to keep pace with the increase in the number of the world’s population. In order to achieve these national development strategies in many based economy tropical countries on agriculture and biased now towards increasing diversity of food products and consumer in order to alleviate malnutrition and pressure to strengthen and expand based industries on agriculture to ensure that their products are both healthy and safe. Oils and fats for food have used a variety of other applications since prehistoric times, and were easily isolate the source of the fats and oils found useful because of its unique properties.

Abstract

Herbal Burfi was development with various types of milk viz., Buffalo (6% Fat), Cow (4% Fat) and mixed milk (5% Fat) and different levels of sugar i.e. 20, 25, 30 and 35 per cent (weight basis of khoa). Each sample was fortified with 5g satavar and safed musli powder. Other minor ingredients like Almonds, Cardamoms, Cashew nuts, Pistachio nuts, etc were mixed thoroughly and after preparation herbal burfi was allowed to set at room temperature (20- 25_oC) for two hours. Physico-chemical (acidity, pH, fat, protein, lactose, sugar, ash and total solids), microbial (total plate count, coliform count, yeast and mould count) quality and sensory attributes of the herbal burfi were evaluated. The data of experiments were statistically analyzed to compare significance effects of various factors by applying factorial Randomized Block Design (fRBD) with the help of OPSTAT software and ANOVA.