eChapters

Introduction

Increasing carbon content in the soil, through better management practices, produce a number of benefits in terms of soil biodiversity, soil fertility and soil water storage capacity and hence productivity. Soil carbon sequestration through the restoration of soil organic matter can further reverse land degradation and restore soil “health” through restoring soil biota and the array of associated ecological processes. In particular, through improved soil water storage and nutrient cycling, land use practices that sequester carbon will also contribute to stabilizing or enhancing food production and optimizing the use of synthetic fertilizer inputs, thereby reducing emissions of nitrous oxides from agricultural land. Conservation tillage practices also reduce significantly the use of fuel and hence gaseous emissions. Soil carbon sequestration is thus very cost effective and could take effect very quickly (FAO, 2008). It also constitutes a valuable win-win approach combining mitigation (CO₂ is removed from the atmosphere) and adaptation, through both increased agro-ecosystem resilience to climate variability and more reliable and better yields (production and income generation). Under climate change scenarios, increased temperature may enhance soil organic matter mineralization in colder regions of the world, releasing carbon dioxide from soils (FAO, 2008). Improved soil management will mitigate the effects of global warming by improved and permanent soil cover. Soil carbon storage was hitherto left out of international negotiations because of envisaged difficulties of validation of amounts and duration/permanency of sequestration. 

Carbon sequestration implies removing atmosphere carbon and storing it in natural reservoirs for extended periods (Lal, 2011). Soil carbon sequestration is the process of transferring carbon dioxide from the atmosphere into the soil through crop residues and other organic solids, and in a form that is not immediately remitted. This transfer or “sequestering” of carbon helps off-set emissions from fossil fuel combustion and other carbon-emitting activities while enhancing soil quality and long-term agronomic productivity. Soil carbon has gained increased interest in the recent past owing to its importance in carbon sequestration studies and its potential impact on sustainable crop production. However, accuracy in estimating soil carbon sequestration to determine best management practices is hindered by inherent variability of soil properties (Srinivasarao et al., 2008 and 2009b). Maintaining or arresting the decline in soil organic matter (SOM) is the most potent weapon in fighting against soil degradation and for ensuring sustainability of agriculture in tropical regions. In India, 65 per cent of agriculture is rainfed, covering the categories of arid, semi-arid and sub-humid climatic zones. Consequences of depletion of organic matter are poor soil physical health, loss of favorable biology and occurrence of multiple nutrient deficiencies. It was stated that in rainfed arid, semi-arid and sub-humid tracts, next to poor rain water management, depletion of nutrients caused by organic matter deficiency is an important cause of soil degradation. Improving organic matter is, therefore, crucial to sustenance of soil quality and future agricultural productivity. Humus is known to favor many useful physical, chemical and biological processes that occur within the soil (Srinivasarao et al., 2011c). Accordingly, 

INTRODUCTION

Soil is one of the most important factors associated with the success or failure of fruit production. Orchard soil management refers to those practices in the soil that aim at getting maximum productivity/production of quality fruits within the limits of soil, water and fertility management over the years. The decision regarding the practices of orchard management should always be taken well in advance before planting of an orchard. The practices for orchard management should be executed in a timely manner during the lifetime of the orchard. An efficient orchard management system always ensures higher return to the grower. However, no single management practice can be recommended for all orchards. The management systems varies from orchard to orchard, locality to locality, soil to soil, from one set of climatic conditions to another set of climatic conditions etc. These systems also have their own merits and demerits. Thus the choice of best suitable system depends on many factors such as climate, topography, rainfall, tree spacing, planting system/ orchard design, root depth of tree, economic condition of orchardists, fertility status of soil and type of main fruit crop etc.However, it should be combined with pruning, nutrient and water management, provision for pollination, fruit thinning and disease and pest management in order to obtain desirable tree growth and vigour with the aim to promote precocity with high productivity. The objectives of an ideal soil management system should be:

5.1. Nature and role of soil enzymes
    General account
    Role in terrestrial ecosystems
    Role in aquatic ecosystems

5.2. Environmental conditions and microbial enzyme activity

Abstract: This chapter reports soil and nutrient loss due to water erosion from five major land uses, i.e. vegetable fields, coconut plantation, arecanut plantation, home garden and moist evergreen forest on the undulating topography of the island. Soil loss under the land uses was quantified using replicated runoff plots. Vegetative methods, i e Gliricidia hedgerow + crop, hedgerow + mulch + crop, hedgerow + mulch + crop + grass barrier, for vegetable field under till conditions, and Pueraria cover crop (coconut + Pueraria phaseoloides  cover crop) for coconut plantation were tested to know their potential to arrest soil erosion in the respective system. Soil loss from the vegetable field under No till conditions, coconut plantation, arecanut plantation, home garden and forest was 3.8, 12.4, 10.6, 8.4 and 2.3 tonnes/ha, respectively. Soil working in vegetable fields (till + crop treatment) provoked soil loss to124 tonnes / ha. Erodibility was the lowest (0.06) in the forest and highest (0.26) in the vegetable field under till condition.  Among the nutrients, the highest loss, across the treatments, occurred for nitrogen and lowest for phosphorus. The hedgerow alone in vegetable fields reduced the soil loss substantially (66 %). However, it together with mulch and grass barrier reduced the soil loss nearly equal to that found in the forest. Like wise, Pueraria cover crop (19 years old) brought down the soil loss under the coconut plantation equal to that in the forest. These observations suggest that Gliricidia hedgerows for vegetable cultivation and cover crop for coconut plantation may be good vegetative methods for soil erosion control in the island.

Abstract

In a developing country like India with exploding population pressure and shrinking availability of resources per capita, agricultural intensification maintain soil health is the only way to solve hunger and poverty. Soil is a fundamental resource base for agricultural production systems. Besides being primary medium for crop growth, soil functions to sustain crop productivity, maintain environmental quality and provide for plant, animal and human health. Soil organic matter (SOM) content is frequently identified as a primary attributes of soil quality assessment. It is evident that SOM influences various soil physical,chemical and biological properties. Besides, SOM serves as a slow release reserviour for macro-, secondary and micronutrients to plants.

Soil is formed by disintegration and decomposition of rocks, minerals and organic matter, Soil is a habitant for plant growth and serves as a storehouse of water and food nutrients for plants, Soil is not same everywhere and varies morphologically, physically, chemically and mineralogically from one point to another both in horizontal and vertical directions. Development of soil informatics is necessary to classify the soils, to assess the productivity of soils for various crop productions and to use the soil for various purposes such as land capability classification, soil irrigability classification, soil rating and soil mapping.

Morphologically soil may appear red, yellow, black, brown or ashy in colour. Soil may vary from sandy to clayey in texture. Depending upon the nutrient reserve capacity, the soil may be fertile or infertile. On the basis of climate, a soil may be classified as laterite soil. Red earth and red loam soil, podzol soil or desert soil.

Different kinds of soil contain minerals of various types and amounts and so exhibit distinct physio co-chemical properties. Although various methods have been used in the past to classify the soils, the most modern and scientific methods is based on dominants pedogenic processes acting on a place to from a soil. The new method of soil classification has two important characteristics-Firstly soil classification is based on certain diagnostic parameters which could be estimated quantatively, and secondly depending on diagnostic parameters, a scientific method is being followed to classify a soil from higher to lower levels such as order, suborder, great group, subgroup, family and series.

Introduction

Soil organic matter is an important component of soil quality and productivity; however, its measurement alone does not adequately reflect changes in soil quality and nutrient status. Instead, measurements of biologically active fractions of organic matter, such as microbial biomass carbon and nitrogen, and potential C and N mineralization, could better reflect changes in soil quality and productivity that alter nutrient dynamics. Therefore, measuring microbial biomass is a valuable tool for understanding and predicting long-term effects on changes in land use and associated soil conditions.

Introduction

The basic principle of conservation agriculture is to minimize soil disturbance in order to stabilize the soil structure, increase the fertility and balance the eco-system. Applied together, conservation agriculture practices – no tillage, permanent soil cover, use of crop cover and crop rotation, residue management- have complementary positive outcomes; no tillage maintains soil structure and biological activity; a permanent soil cover protects the soil surface from erosion and creates a stable and favourable micro-climate; cover crops and residue management provides organic matter, reduce soil erosion and improves soil fertility. Management of the soil water balance should be considered as a positive for cover crops and improvement of soil water infiltration, reduction in soil water evaporation, and decreasing water extraction from the soil would impact subsequent plant growth.

1.     Concentration

Multistage Sampling

Multistage sampling is a form of random sampling where samples are selected in a sequence of stages. Where each sample is drawn from the exclusive previously selected samples. This sampling is not done once but at multiple stages. It differs from cluster sampling in the sense that cluster uses all the subjects within a cluster whereas multistage selects a sample from within the selected group. Groups are randomly chosen from a population; subgroups from these groups are randomly chosen and then randomly chosen to be surveyed.

This is an extension of cluster sampling, which is carried out in multiple stages say two, three or four stages. In the first stage, the universe is divided into some clusters from which certain clusters are selected at random at the first stage samples. In the second stage, the selected first stage samples are again subdivided into some clusters from which again certain clusters are selected at random as the second stage samples. In the third stage, the selected second stage samples are again subdivided into some clusters from which certain clusters are again selected at random as the third stage samples.

11.1. INTRODUCTION

Sorghum [Sorghum bicolor (L.) Moench] is the fifth most important cereal crop and is the dietary staple of more than 500 million people in over 90 countries, primarily in the developing world. It is grown on 47 m ha in 104 countries in Africa, Asia, Oceania, and the Americas. Among those, USA, Nigeria, India, Mexico, Sudan, China, and Argentina are the major sorghum producers globally. Sorghum grain is mostly used directly for food (55%), and is consumed in the form of porridges (thick or thin) and flat breads; however sorghum is also an important feed grain (33%), especially in Australia and the Americas. Stover (crop residue after grain harvest) is an important fodder source to both milch and draft animals in mixed crop-livestock systems. Sorghum is also a good source of green fodder due to its quick growth and high yield and quality of biomass. Of late, sorghum with sugar-rich juicy stalks (called sweet sorghum) is emerging as an important biofuel crop. Thus sorghum is a unique crop with multiple uses as food, feed, fodder, fuel and fiber. Sorghum is generally grown in rainy season (spring) but in India it is grown in both rainy and postrainy seasons. The postrainy season sorghum grain is prized for its food value (Reddy et al., 2009).

12.1. INTRODUCTION

Sorghum [Sorghum bicolor (L.) Moench] is an important food/feed/fodder crop in more than 90 countries across the world and it is one of the cheapest sources of energy and micronutrients (Reddy et al., 2009; Ashok Kumar et al., 2011). Considerable efforts have been made to improve sorghum productivity through genetic enhancement and crop production and protection research all over the globe. Sorghum being an often cross-pollinated crop with cross pollination up to 2-15% depending on genotype and environment (House 1985), initially, pure-lines were the target products although phenomenon of heterosis was demonstrated in sorghum as early as in 1927 (Conner and Karper, 1927). Predominant self-pollinating nature of sorghum with tiny florets with single seed per emasculation and pollination prevented commercial exploitation of heterosis for commercial sorghum production. However, the discovery of a stable and heritable cytoplasmic-nuclear male-sterility (CMS) mechanism (Stephens and Holland, 1954), enabling large-scale, economic hybrid seed production gave a fillip to the exploitation of heterosis since early 1960s. The first commercial sorghum hybrid CSH 1 was released in 1964 in India. Using CMS mechanism, large number of commercial hybrids have been developed and released/marketed for commercial cultivation in all sorghum growing regions with strong Indian National Agricultural Research Systems (NARS).

1.    List of Spices
    
2.    Biotechnological Interventions in Spices
    
3.    Micropropagation
    
4.    Protocols for in vitro Multiplication of Some Spices
    
5.    Factors Affecting Large Scale Propagation Systems
    
6.    Field Performance of Tissue Culture Plants
    
7.    Other Tissue Culture Techniques
    
8.    Secondary Metabolites Production
    
9.    in vitro Germplasm Conservation
    
10.    Somaclonal Variation
    
11.    Molecular Marker Studies
    
12.    Disease Diagnostics
    
13.    Genetic Engineering
    
14.    Identification of Adulterants
    
15.    Future Prospects
        
References

Q.1.    What is split plot experiment ?

    Answer
    
    If one has to study two type of factors say A and B in the same experiment where A requires larger plot size and B requires smaller plot size then the structure of the experiment will be that of plots within blocks are known as split plots and blocks within replication are known as main (whole) plots. Such a layout of the experiment is known as split plot experiment.

8.1    History of Sprinkler Irrigation
    
8.2    Advantage and Limitations of Sprinkler Irrigation
    
8.3    Scope of Sprinkler Irrigation in India
    
8.4    Type of Sprinkler System and Components
    
8.5    Design of Sprinkler Irrigation System
        
Questions and Problems
        
References

Principal Scientist and I/c Head, Division of Social Sciences and Training, IIHR, Hessaraghatta Lake Post, Bangalore – 560 089, Karnataka

Introduction…. A few key things to know

India is predominantly an agrarian economy which employs around 43% of its workforce in the agriculture sector, but it contributes only 16 % to the GDP (FY2020) and the sector contributes to 12 % of the country’s export.

The Food and Agri startup space constitutes agritech and food tech companies, incubators, accelerators, investors, farmers and MSME, etc.

Owing to the rising interest and conducive environment for business (esp. start ups), investment activity in this space has been increasing over the years.

We are still at a nascent stage. w.r.t to investment and market penetration.

Principal Scientist and I/c Head, Division of Social Sciences and Training IIHR, Hessaraghatta Lake Post, Bangalore – 560 089, Karnataka

What is a funding pitch?

A pitch deck lets you present your business plan to potential investors when new funding is needed to develop the business. You don’t need a pitch deck to attract funding if your business is successful, growing organically and at the right level and scale for the market and your ambitions.

Today, when the collection of biological data has been increasing at explosive rate, the processing of these data is needed. It would be extremely valuable if the specialists who know what the data mean were also able to imagine ways to collect, process and exploit these data. Biological and agricultural scientists should note that concepts from computer science, discrete mathematics and statistics are being used increasingly to study and describe biological systems. The specialists, who know the subjects of mathematics, statistics and computer programming, are needed for solving the computational problems in biology. Statistical data mining approaches seem ideally suited for bioinformatics, since it is data rich, but lacks a comprehensive theory of life organization at molecular level, or in the words of I.E. Alcamo “ Keeping up with the directions and application of DNA is a never ending job.” Starting with possible definitions of statistical data mining and bioinformatics, this chapter will give a general side view of both the fields on the statistical data mining part and its technologies and discuss how statistical data mining may be used in bioinformatics.