eChapters

1. The “silviculture of Indian trees” in three volume was published in 1921, by _____________. (R.S. Troup)

2. _____________ silvicultural system aims at opening of the canopy for regeneration and even-aged condition of the crop. (Uniform shelter wood system)

3. Irregular involutions and convolutions on the bole just above the base of a tree are called as ____________. (Fluting)

4. Stool shoots refers to the production of coppice shoots from_____________ of stumps. (Near the top)

5. Geographical area covered by forest area in India is_____________ per cent. (21-22%)

6. Indian forests were classified into _______ number of groups by Champion and Seth in 1968. (16)

7. The most favourable soil for the growth of Shorea robusta (Sal) is_____________. (Well drained deep moist sandy loam)

8. The clear felling system was introduced for the first time by_____________. (Heinrich Vancotta)

9. The book “Genera Plantarum” was written by_____________. (Englaer and Prantl)

10. “Pricking” is a term used in raising plants in_____________ area. (Main plantation)

Plants yielding oilseeds are economically important in India next only to food crops and play an important role for sustainability of  cropping systems and soil health. Oilseeds scenario in the country underwent a sea change in  last fifteen years. India changed from net importer in  1980s to a net exporter  during  early 1990s. Again, it is back to net importer importing more than 40 % of its annual edible oil needs. Country’s demand for edible oils is  rising to double  the current level of 4% (as against productivity growth of 2% in 1986-2001) in  next 12 years (Hegde 2004). To meet  challenges of oilseeds production, there is  need to adopt multi-pronged strategy which involves enhancing production through area expansion and productivity improvement through improved technologies and value addition . As a progressive step in this direction of self sufficiency, there is  need to identify alternative oilseed trees/plants which can be grown in wastelands. There are more than 300 different kinds of tree species which bear seeds  rich in oil and  introduction of simarouba is an important step in this direction. National Oilseeds and Vegetable Oil Development (NOVOD) Board under Ministry of Agriculture  identified simarouba as a potential Tree Bearing Oilseed (TBO) for popularization in India and placed it in  first place in their list of importance.

11.1 Introduction

The term “regression” literally means moving back towards the average. It was first introduced by the British biometrician Sir Francis Galton (1822-1911). in connection with the inheritance with the stature.

a) Definition

Regression analysis is a mathematical measure of the average relationship between two or more variables in terms of the original units of data.

In regression analysis, there are two types of variables. The variable whose value is influenced and is to be predicted, is known as the dependent (or predicted/ response explained) variable and the variable that influences the values of the dependent variable or is used for prediction purposes, is known as the independent (predictor/explanatory/ auxiliary/ regressor) variable.

15.1 Section-A : Write True / False

Q.1 In bivariate distribution if the change in one variable afects a change in the other variable, the variables are said to be correlated.

Q.2 If the change in both the variables takes place in the same direction then the variables are said to have a positive or direct correlation.

Q.3 The pair of variables say, Income and expenditure in house hold or the height and weight of a group of children possess the direct correlation between them.

Q.4 If the change in both the variables takes place in oposite directions, then the variables are said to have "Negative or inverse" correlation.

Q.5 The pairs of variables say (i) Price and demand of a commodities or (ii) Volume and pressure of a perfect gas" have a negative correlation.

Q.6 The two variables are said to have a perfect positive correlation if the deviation in one variable is followed by a corresponding and proportionate deviation in the other variable.

Q.7 There are some funny combinations of variables between which the correlation are said to be "spurious or nonsense".

True/False

Q.1.    Two independent random variables (X,Y) are always uncorrelated but reverse may not be true

7.1 Introduction

The integral calculus is concerned with the opeartion of “integration” which is the reverse process of differentiation. If f '(x) represents the differential coefficient of f '(x), then the problem of integration is to find f(x) from f '(x).

7.2 Integration of a Function Containing a Constant

If we integrate a function containing a constant factor, this factor must also be a factor of final integral.

Machine: It is a device capable to doing work on application of some effort. Work done by machine is to raise load or to lower load or to do some other types of work like rotation of shaft.

A simple random sample (SRS) of size n consists of n individuals from the population chosen in such a way that every set of n individuals has an equal chance to be the sample actually selected.

A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen. An example of a simple random sample would be the names of 25 employees being chosen out of a hat from a company of 250 employees. In this case, the population is all 250 employees, and the sample is random because each employee has an equal chance of being chosen.

Also Referred to as Microsatellites

SSR markers are based short sequences of nucleotides (2-6 units in length) that are repeated in tandem:

Di-nucleotide repeat: CACACACA

Tri-nucleotide repeat: ATGATGATGATG

It is believed that when DNA is being replicated, errors occur in the process and extra sets of these repeated sequences are added to the strand. Over time, these repeated sequences vary in length between one cultivar and another.

The numerical based on simple mathematics like divide, multiply, sum, deduction, under root, percentage etc are given below to sharpen the inherent ability of the students. This simplication is a very good exercise to aqcquaint the students about basic mathmetics so that they can solve tough questions quickly. Therefore some tips are given below for solving the questions.

Introduction
Communication is fundamental to human interaction, socialization, and organizational success. However, the process of communication is often fraught with distortions—unintended alterations that can hinder the accurate exchange of information. Distortions can arise due to various factors such as noise, misinterpretations, emotional bias, technological barriers, and language differences. Addressing and mitigating these distortions is crucial in fields ranging from corporate communication to political discourse, education, and beyond.
One innovative method that has garnered attention for its ability to address communication distortions is the use of simulation games. These games, designed to replicate real-world scenarios, create controlled environments where participants can explore, identify, and respond to communication challenges in a practical and engaging way. This chapter explores the role of simulation games in understanding and mitigating communication distortions, with a focus on their application, benefits, and limitations.
What are Simulation Games?
Simulation games are immersive, interactive platforms that simulate real-world situations. These games are often used in educational, training, and organizational contexts to help participants experience and learn from complex scenarios. Simulation games allow players to assume roles, make decisions, and navigate challenges within a controlled environment that mirrors real-life situations.

Introduction

The term nitrogen use efficiency, (NUE) is widely used in research to cover problems in use of N in crop production systems. It describes N input/output ratio at different scales starting from farm levels to regional levels. An analysis of of NUE is helpful to analyze possible options for improving NUE in different crops and cropping systems. NUE at crop scale may be defined as the ratio between the yield and the N uptake by the crop. This ratio is sometimes called as the physiological NUE or utilization efficiency. High NUE can be achieved by high harvest index and a high productivity of dry matter per unit N uptake. The second component of NUE is the ratio of plant N uptake to the potentially available N. This ratio is called uptake efficiency or available N use efficiency. Enhancing the uptake efficiency of the crop is possible through enhancing the physiological uptake efficiency of the roots, enhancing root length density and matching the N supply and demand of a particular crop.

Modeling is heart of hydroinformatics. Simulation modeling became integrated part of modern science to justify feasibility of selected option among various competitive alternatives. Simulation modeling is a tool to evaluate the performance of a system, existing or proposed, under different configurations of interest and over long periods of real time. This chapter describes basic concepts, model simulation, model variables, modeling process, model performance etc. in brief.

Introduction

Crop models can be broadly classified into two categories: dynamic or process-based crop simulation models (CSMs), and reduced form statistical models. Since simulation models are based on various plant-related processes, they develop or alter in tandem with plant growth (Chetty 2009); as a result, they are inherently nonlinear (Olmstead 2009). To run, calibrate, and validate, they require a significant amount of date input. However, statistical models are helpful in situations where there is a lack of data because they describe the relationships between a subset of variables while keeping the others constant. (Chetty 2009).

ABSTRACT

The disposal of industrial effluents in rivers causes groundwater contamination. It is necessary to assess how these contaminants are likely to migrate in the groundwater system. In the present study, an attempt is made to study the migration of contaminants in the groundwater of Palar River basin in Tamil Nadu. Simulation of the contaminants was carried out by using numerical methods. The finite difference computer code MODFLOW (Modular 3-d finite difference flow) and MT3D (Mass transport 3-d) with Groundwater Modelling System (GMS) as pre and post processor was used to simulate the groundwater flow and transport in this study. The simulation was done in transient state for a time period of one year. It predicted the migration of plume of chlorides in groundwater. The changes in the distance and concentration rate of chlorides are identified for a particular period. Modelling provides a useful basis for contaminant transport studies, as well as in the evaluation of the hydrogeologic parameters relevant in the context of the transport problem.

26.1 Introduction

In a single equation model, the dependent variable Y is expressed as a linear function of one or more explanatory variables (say X1 , X2 , ... XK ). In such models, an implicate assumption is that the cause and effect relationship between (Y, Xs) is unidirectional. Here explanatory variables are the cause and the dependent variable Y is the effect.

However, there are some situations where two way flow of influence among economic variables exists. Thus one economic variable affects other economic variables and in turn is affected by them. Thus, in the regression of money M on the rate of interest r, the single-equation method assumes implicitly that the rate of interest r is fixed and it is tried to find out the response of money demanded when the level of interest rate is changed.

The concept of single cell micro-gel electrophoresis (SCGE)/comet assay is f irst introduced by Ostling and Johanson (1984) as a method to measure DNA single-strand breaks under neutral conditions. Singh et al. (1988) modified this technique by using alkaline conditions (>13 pH) of electrophoresis, which enabled detection of not only frank strands breaks but also alkali labile sites, DNA cross- linking and incomplete excision repair sites. Now-a-days, this technique is extensively used to study the genotoxic effects of various chemicals. The advantages of SCGE technique include: (1) collection of data at the level of individual cell, allowing for more robust types of statistical analysis; (2) need for small number of cells per sample (<10,000); (3) its sensitivity for detecting DNA damage; and (4) that virtually any eukaryotic cell population is amenable to analysis. The idea is to combine DNA gel electrophoresis with fluorescence microscopy to visualize migration of DNA strands from individual agarose-embedded cells. If the negatively charged DNA contained breaks, DNA supercoils are relaxed and broken ends are able to migrate toward the anode during a brief electrophoresis. If the DNA is undamaged, the lack of free ends and large size of the fragments prevented migration. Determination of the relative amount of DNA that migrated provided a simple way to measure the number of DNA breaks in an individual cell.

Genotoxic effects of any xenobiotics in PMNC and splenocytes of Wistar rats can be studied according to the working protocol of Dhawan et al.

Objetive

To completely exercise a cancerous hoof in presence with cauliflower like growth with regular bleeding & myosis.

Material Required

Amputation saw, thick padded with bandage roll, a mixture of powder containing resin and naphthalene ball powder, bicycle tube protection sleeper (Fig-3), local anesthesia.