eChapters

Soil and growing media provide the physical, chemical, and biological foundation for successful horticultural production. This chapter explains soil properties, soil fertility, soil health, growing media, nutrient availability, and principles of plant nutrition. Emphasis is placed on soil testing, pH, electrical conductivity, organic matter, nutrient balance, and crop-specific fertilizer management. The chapter also introduces soilless media used in nurseries and protected cultivation. Understanding root-zone conditions is essential because horticultural crops are highly sensitive to water, aeration, salinity, and nutrient imbalance. Sustainable approaches such as composting, mulching, biofertilizers, and integrated nutrient management are discussed to maintain productivity while improving soil health and resource-use efficiency.

Solidago, commonly known as goldenrod, is an attractive filler-type cut flower valued for its bright yellow inflorescences and commercial potential. This chapter discusses its origin, taxonomy, botanical characteristics, genetics, varieties and environmental requirements. It explains seed propagation for breeding and vegetative propagation through rhizome suckers for commercial multiplication. Climate, soil, planting, nutrition, irrigation and cultural management are described, followed by pest and disease control. Harvesting, postharvest handling, grading, vase life and yield are also addressed. The chapter highlights commercially important cultivars and the crop's suitability for professional cut flower production and export markets.

I. Definition

Solute transport in plants, translocation, primarily occurs in the phloem, but it can occur in the xylem.

II. Solute Transport in the Xylem

Some solutes are transported in the xylem

Water and dissolved ions are the main substances in vessels/tracheids

These materials are transported via transpiration stream

Xylem sap may also contain organic materials, usually in relatively low concentration (with a notable exception being maple sap in the spring which is comprised of 2% or more sucrose).

Substances move at different rates depending on matrix effects, metabolic needs, etc.

A. Somatic Embryogenesis
 
In plant tissue culture, the developmental pathway of various well organised, small embryoids resembling the zygotic embryos form the embryogenic potential somatic cell of callus tissue or cells of suspension cultures is known as somatic embryogenesis. The capability of somatic cell of a culture to produce embryoids is known as embryogenic potential.

Embryoid: Embryoid is a small, well organised structure comparable to the sexual embryo, which is produced in tissue culture of dividing embryogenic potential somatic cells.

Crop growth rate (g m^_-2 day^_-1)

Crop Growth Rate is referred to a whole crop, so you need to consider the area of the ground where crop is present. It is measured as mass increase in crop biomass per unit ground area per unit time.
Equation for that is, CGR= W₂-W₁ / t₁-t₂

Sorghum (Sorghum bicolor L. Moecnch, 2n = 2x = 20, grass family Gramineae/ Poaceae, often cross-pollinated, 6% cross-pollination on an average, 730Mb genome, about 25% the size of maize or sugarcane) is a staple food crop for millions of poor people in the semi-arid tropics of Africa and Asia. It is one of the important dry-land crops grown in marginal soils and a source of feed, fodder and bio-fuel apart from food. It is a short-day C4 plant, and its easy adaptability to hot and dry agro-ecologies makes it a climate change-resilient crop. Sorghum is considered as an often cross-pollinated species, with outcrossing up to 6 % depending on the genotype and growing conditions.

Nucleic acid hybridization requires denaturation i.e. the breakage of H-bridges between the complementary strands of the DNA either by heating at high temperatures or by treatment with denaturing chemicals like formamide. The restricted DNA, therefore, is denatured before transfer from the gel onto synthetic membrane since only single stranded DNA binds to nitrocellulose.

Introduction

Southern blotting was named after Edward M. Southern who developed this procedure at Edinburgh University in the 1970s. To oversimplify, DNA molecules are transferred from an agarose gel onto a membrane. Southern blotting is designed to locate a particular sequence of DNA within a complex mixture. For example, Southern Blotting could be used to locate a particular gene within an entire genome. The amount of DNA needed for this technique is dependent on the size and specific activity of the probe. Short probes tend to be more specific. Under optimal conditions, you can expect to detect 0.1 pg of the DNA for which you are probing.

This diagram shows the basic steps involved in a Southern blot.

Introduction

Southern blotting was named after Edward M. Southern who developed this procedure at Edinburgh University in the 1970s. To oversimplify, DNA molecules are transferred from an agarose gel onto a membrane. Southern blotting is designed to locate a particular sequence of DNA within a complex mixture. For example, Southern Blotting could be used to locate a particular gene within an entire genome. The amount of DNA needed for this technique is dependent on the size and specific activity of the probe. Short probes tend to be more specific. Under optimal conditions, you can expect to detect 0.1 pg of the DNA for which you are probing.

Soybean (Glycine max L. Merr. 2n = 2x = 40, essentially a self-pollinated oil seed crop, family Leguminosae), also known as a miracle crop with on average 40% protein and 20% oil and one of the globally “Four Big Crops” namely rice, wheat, corn and soybean. As per FAOSTAT-2016, global soybean acreage, production and productivity are 121 million ha, 335 million tons and 2755 kg per ha for the year 2016. As per this statistics, top ten soybean producing countries are USA (108 million tons), Brazil (87 million tons), Argentina (53 million tons), China (12 million tons), India (10 million tons), Paraguay (10 million tons), Canada (6 million tons), Ukraine (4 million tons), Bolivia (3 million tons) and Uruguay (3 million tons).

Shrinking land resources, vulnerable market of cash crops along with climatic aberrations have adversely affected the Indian agriculture and as a result, small farmers are increasingly alienating from this profession. To sustain their livelihood, farmers are increasingly adopting the alternative sources and dairy farming is one of the best-suited businesses, which can rightly fit at this stage. It is fast emerging as a potential business in rural India, particularly in the peri-urban belt. Among the major inputs required to set up a dairy unit, round the years availability of good quality fodder is the foremost requirement. Green forages are rich and cheapest source of carbohydrates, protein, vitamins and minerals for dairy animals. The importance of forages in our country is well recognized since feeding forages alone accounts for over 70% of the cost of milk production. Hence by providing sufficient quantities of green fodder instead of costly concentrates and feeds to the milch animals, the economics of dairy unit can easily be maintained. Milch animals need around 40 kg of green fodder daily for better milk production and for maintaining good health of the animal. There is a large number of fodder crops grown in our country, the majority being dominated by pearl millet, sorghum, maize and oats in the non-leguminous and berseem and lucerne in the leguminous category. Pearl millet and sorghum are extensively grown as cereals in the southern and dryer regions of the country and the stover remained is used as animal fodder. However, the nutritional quality of the stover is very poor due to higher content of indigestible lignin and low levels of cellulose, whereas, the cultivated green fodders are mostly confined to the North-Western plain zones of Punjab, Haryana and Western Uttar Pradesh. The availability of round the years quality green fodder, therefore, seems to be a tough task. At present, the country faces a net deficit of 61.1% green fodder, 21.9% dry crop residues and 64% feeds (IGFRI Vision, 2030).

Introduction

The conventional approach of the human person for plant classification is comparing the color and shape of the leaves, but by using Artificial Intelligence analysis can provide quicker and more detailed results by analyzing the morphology of the leaves and provides more details about the leaf properties. Species Recognition has been a very important part of agriculture and there are thousands of species in plants which can be identified by a single person and even if it does so It will take a huge lot of time to do it.

In this chapter we will discuss and built a project related to identify species in flower with an image. In this project we will be using Artificial Intelligence different branches like machine learning, deep learning and computer vision to build such an amazing project. So, let’s begin

Introduction

The ultimate aim of agricultural research or any other related activity is to increase yield. Yield improvement could be obtained mainly through the enhancement of photosynthetic efficiency. Photosynthesis is a process in which plants convert light energy to chemical energy. Sun is the ultimate source of energy for photosynthesis. However only half of the total solar radiation (51%) reaches the earth’s surface of these only 1.2% reaches the plant canopy. Solar spectrum contains an array of other radiations which can be harmful for plant and human life. With increasing global climatic change amount of harmful radiation reaching the earth’s surface has increased and this is found to influence plant productivity. Under this scenario, protected cultivation is gaining popularity in many countries as it helps to reduce harmful effects of undesirable radiation, to allow cultivation of crops irrespective of seasons and also expand cultivation to non-traditional areas by artificially manipulating crop environment. In this context, spectral manipulation for crop production has emerged as an important area in crop production system

Interaction of radiant energy, exhibiting the properties of both waves and particles, with matter is dealt in spectroscopy. Matter may be defined as material, existing in solid or liquid or gaseous phase, which is composed of molecules, atoms, or ions. Atoms, molecules, and ions, irrespective of their physical state, remain in constant motion in a matter. Molecules may rotate, vibrate, and move from place to place in space. While radiant energy interacts with matter, these molecular motions are influenced to some extent. It is observed that radiations from ultraviolet and visible range of electromagnetic spectrum lead to the movement of bonding electrons from lowest energy state (ground state) to higher energy state (excited state) in the molecules, while absorption of IR radiation causes the molecule to vibrate more. Such changes, referred to as transition, are responsible for changing the molecular energy level.

Introduction
The increase in the world population coupled with climatic fluctuations such as drought, floods, and high temperatures poses a serious threat to food security (Ray et al., 2013). Many researchers have quoted the importance of enhancing the genetic gain of primary crops at a faster rate to meet global food demands (Lin et al., 2016). It remains a challenging task for plant breeders to evolve resilient varieties in a shorter period by employing conventional approaches. The slow progress in crop improvement is mainly attributed to long breeding cycles/generations (Samantara et al., 2022). To overcome the drawbacks involved in traditional methods and to safeguard food security, speed-breeding methods are now being adopted at large or small units to achieve rapid genetic gains in many crop species. The speed breeding techniques include the use of controlled environments with manipulation provisions for light duration, intensity and temperature. This approach is more advantageous for helping plant breeders hasten crop development in several major photosensitive crops (Singh and Janeja, 2021).
Breeding a new crop variety via a conventional approach requires the selection of complementary parental genotypes with desired traits, followed by crosses and a series of selections and advancements of superior progenies to release candidate cultivars that meet market demands (Shimelis and Laing, 2012). Notable breeding goals in crop cultivar development programs include increased yield potential and nutritional quality and enhanced tolerance to biotic and abiotic stresses (Breseghello and Coelho, 2013). In any crop improvement program, the following breeding procedures can be distinguished in the order presented: (a) selection of desirable parents with complementary traits to be combined; (b) crosses involving the selected parents and the development of progenies; (c) selection and genetic advancement of the best progenies based on target traits; (d) selection of the best progenies for screening in multiple target production environments to identify the best performing and stable candidate cultivars; and (e) cultivar registration and seed multiplication and distribution to growers (Shimelis and Laing, 2012). These conventional breeding procedures are used in most crop cultivar improvement

Conventional crop breeding requires a substantial investment of time, space, and resources for the selection process and the subsequent crossing of desired plants. The time taken for the complete seed-to-seed cycle is a critical constraint in the advancement of plant research and breeding. The concept of speed breeding holds the promise of diminishing the duration necessary for the entire process of cultivar development, from creation to introduction and eventual commercial availability, thereby enhancing the improvement of both food and industrial crops. It revolves around optimizing conditions such as light intensity, temperature, and daylight duration (22-hour light, 22°C day/17°C night, and high light intensity). This approach enhances photosynthesis, triggering early flowering, and, in combination with yearly seed collection. The adoption of speed breeding shows promises in realizing nutritional security and promoting sustainable agriculture for the future rising population. The technique’s integration with advanced genomics and gene editing opens doors to precise trait incorporation. Moreover, speed breeding reduces resource consumption, aligning with sustainability goals. As local adaptations become feasible, it empowers diverse regions.

Abstract

Spices are aromatic substances of plant origin which are commonly used for flavouring, seasoning and imparting aroma in foodstuffs. They are cultivated in an area of 5.98 million ha globally with a total production of 7.31 million tons. India is considered as the home of majority of these spices from ancient times and sizable area of the country is under spice cultivation. The latest statistics shows that the total cultivated area in India under spices is 2.89 million ha with a total production of 3.33 million tonnes. About 109 plants belonging to 31 families are recognized as spices useful as ingredients in food. Many of them have been demonstrated to mediate therapeutic benefits for wide spectra of diseases ranging from multiple sclerosis to colorectal cancer.

Introduction

Advances in molecular genetics in the last 20 years like rapid DNA amplification techniques using PCR, rapid sequencing methods and computational software programs have enabled the placement of molecular markers on to the maps of chromosomes of most major crop species and the subsequent tagging of genes of interest by their placement near those markers^[38]. Unfortunately very little or scanty molecular data of spices are available in the public domain (Table 12.1). ‘Orphan crops’ like spices which have not yet received the investment of research effort or funding can exploit comparative genomics and bioinformatics to assist research and crop improvement provided they are related to a well-characterized model plant species.

Spider lily (Hymenocallis littoralis) is a perennial bulbous plant distinguished by its fragrant white flowers, central corona and spider-like appearance. It is an important commercial loose flower crop in western India, particularly Gujarat, Maharashtra and Karnataka, where flowers are used for garlands, Veni, Gajra and ceremonial decoration. The chapter describes its origin, distribution, genetics and botanical characteristics. It explains climate and soil requirements, bulb propagation, land preparation, planting, nutrient management, irrigation and cultural operations. Pest and disease management, harvesting and postharvest handling are also detailed. The chapter includes storage techniques for flower buds and discusses the long productive life and commercial yield potential of the crop.

This chapter focuses on split plot and strip plot designs, essential tools in experimental design known for effectively handling complex experiments. It covers the key principles and applications of these designs, emphasizing how they can be used to address specific research challenges. The chapter also provides practical guidance on conducting analyses of split and strip plot designs using R software, making it a valuable resource for researchers seeking to apply these methods in their work.

Split Plot Design

The split-plot design is a statistical approach widely used in experiments where specific conditions apply:

• Hierarchical arrangement of treatments: This design is ideal for experiments involving two levels of experimental units, typically “whole plots” and “subplots.” The main treatments are applied to the whole plots, while the sub-treatments are applied within these to the subplots.

• Adherence to experimental design principles: The split-plot design follows the principles of randomization, replication, and local control, but with a hierarchical twist. The main treatments are randomized across the whole plots, and the sub-treatments are randomized within these main plots. • Resource management in unequal experimental conditions: This design is particularly useful when some factors require larger experimental units or when changing levels of one factor is more resource-intensive than changing levels of another factor.