eChapters

Introduction

PTD refers to the creative process of joint experimentation and research by farmers and development agents (such as extension workers) in discovering ways of improving farmers’ livelihoods. Experimentation and innovation are natural and necessary to farmers. Before formal research and extension services existed, farmers’ own experimentation allowed adaptation to new situations, to survive and to improve their livelihoods, where conditions were favorable.This is still the case today, even where farmers have access to external support. Many development projects and extension agencies are appreciating farmers’ informal experimentation as a springboard for developing locally appropriate technologies.

Training

Training represents activities that teach employees how to better perform their jobs. Training is a powerful tool in the hands of development professional to catalyze human resources. Training is a process of acquiring specific skills to perform ajob better.

Training as the act of increasing the skills of an employee for doing a particular job

Training always aim at lasting improvement on the job. It is primarily organized not for learning more but to behave differently in own endeavors

Training Need Assessment

Training Need Assessment (TNA) is the method of determining if a training need exists and, if it does, what training is required to fill the gap. TNA seeks to identify accurately the levels of the present situation in the target surveys, interview, observation, secondary data and workshop.

An assessment process that serves as a diagnostic tool for determining what training needs to take place. 

Extension Teaching

• Extension teaching defined as a sequence of progressive steps, undertaken to create situations that are conducive to effective learning.
• According to Leagans (1961) extension methods are the devices used to create situation in which communication can takeplace between the instructor and learner.
• The purpose of using an extension teaching method is to create opportunities to establish rapport over a subject matter between the communicator and learners.

1. Result demonstration

It is a method of motivating the people for adoption of a new practice by showing its distinctly superior result. The demonstrations are conducted in the farm or home of selected individuals and are utilized to educate and motivate groups of people in their neighborhood. This is a very effective method for the transfer of technology in a community.

Objectives

1. To show the advantages and applicability of a newly recommended practice in farmer’s own situation.

1. Farm Publication

Is a class of publications prepared by the extension agency in printed form, containing information relating to the improvement of farm and home. Farm publications are of various types such as leaflet, folder, bulletin, newsletter, journal and magazine. Farm publications may be used singly or in combination with other extension methods.

Objectives

1. To reach a large number of people quickly and simultaneously at a low cost.
2. To provide accurate, motivating, credible and distortion free information.

Origin

The term communication stems from the Latin word “Communis” meaning “common”. This implies that when we communicate, we are trying to establish ‘commonality’ with someone through a message. Communication, then, is a conscious attempt to establish ce, it is a process of getting a source and a receiver tuned together for a particular message or a series of message.

Definitions of communication

Models Definitions

In social science research a model is a tentative description of what a social process, say the communication process or a system might be like. It is atool of explanation and analyses, very often in a diagrammatic form, to show how the various elements of a situation being studied relate to each other.

What is a Model?

Agricultural Journalism

Journalism refers to the production and distribution of reports on recent events. The word journalism applies to the occupation, using methods of gathering information andutilizing literary techniques. Various forms ofjournalistic mediums include: print, television, radio, Internet and in the past: newsreels. The activity or profession of writing for newspapers, magazines, ornews websites or preparing news to be broadcast. The difference between Farm journalism and general journalism.

Diffusion

Diffusion is the process by which an innovation is communicated through certain channels over time among the members of a social system (Rogers & Shoemaker, 1971).

Innovation

Innovation is an idea, practice or object that is perceived as new by an individual or otherunit of adoption.

Adoption

Adoption is a decision to make full use of an innovation as the best course of action available.

Adoption

Adoption is a decision to make full use of an innovation as the best course of action available.

Steps in adoption process

Ryan and Gross (1943) were probably the first to recognize that the adoption of a new idea consisted of stages. They distinguished between awareness of hybrid seed cron conviction of its usefulness, trial acceptance and complete adoption of the innovation.

Adoption is essentially a decision making process. According to Johnson and Haver (1955), decision making involves the following steps.

Introduction

Focus of extension agencies on production technologies yielded very good results andhence India become self reliant on food production. Significantly,the extension systemhadplayedits role untiringlyintransfer ofproductiontechnologies from lab to land, besides the agricultural scientists, farmers and marketing network. But the farmers at individual level are not realizing remunerative prices for their produce. Add to this, the Indian farmers have to face challenges of global force that are affecting or are likely to affect Indian agriculture. This assumes greater significance in the light of the new international trading regime under WTA and the export opportunities being opened up. 

1.1 Introduction

The use of sampling in making decisions about an aggregate (or population) is possibly as old as civilization itself. Sampling is first broadly classified into two categories known as subjective and objective. Any type of sampling which depends upon the personal judgement or discretion of the sampler himself, is called subjective sampling. But the sampling method which is governed by a sampling rule or is independent of the sampler’s own judgement is known as objective sampling. The main difficulty with subjective sampling is that the sampler is ignorant of the degree of representativeness of his sample or the accuracy of the final estimates of the population values obtained.

2.1 Simple Random Sampling

The simplest and common most method of sampling is simple random sampling. In this procedure, the sample is drawn unit by unit with equal probability of selection for each unit at each draw. It is sometimes referred to as unrestricted random sampling.

2.1.1 Definition

“A sampling procedure which gives equal chance to all possible samples each of size n which can be drawn from a population of size N, is called simple random sampling.”

3.1 Introduction

Out of all methods of sampling, the most commonly used procedure in surveys is the stratified random sampling. When population units are of heterogeneous nature and if we select a sample using SRSWOR scheme then the sample selected may not be the representative sample and the estimate worked out from that sample will not be the reliable estimate of the population parameter. The estimate of sampling variance of the sample estimator obtained from that sampling scheme may happen to be very high leading to get a less precise estimate of the parameter. In such type of population, to overcome these draw backs, we use another sampling scheme known as stratified random sampling which is defined as follows.

4.1 Introduction

In many surveys, information on an auxiliary (supplementary, ancillary or apriori) variable x, which is highly (positively or negatively)correlated with the variable y under study, is readily available and can be used for improving the sampling design. Stratified sampling and probability proportional to size (p.p.s) schemes are two examples of improved sampling designs, in which the use of data on auxiliary variable has been made. However in both the schemes, it implies that the information on auxiliary variable on individual sampling units is available prior to presentation of sampling design. In case, data on auxiliary variable for individual sampling units are not available but only the aggregate value for all units of auxiliary variable is available, the two schemes can not be used. In such a situation, the aggregate data on auxiliary variable can still be used at the time of estimation of parameters under consideration, provided the data on auxiliary variable for the sampled units can be easily obtained at the time of recording the values of the study variable.

5.1 Introduction

In random sampling it is assumed in prior that the population is divisible into a finite number of distinct and identifiable units and these units are known as sampling units. The smallest unit into which the population can be divide, is called an elementary unit (element) of the population. A group of such units is known as cluster. When such cluster is treated as sampling unit, then the sampling procedure adopted is known as cluster sampling. If the entire area containing the population under study is divided into smaller area segments and each element in the population belongs to one and only one such area segment, the sampling is sometimes known as area sampling.

Generally, identification and location of an element requires considerable time. H

6.1 Introduction

So far we have considered the methods of sampling in which the successive units (elements or clusters) were selected with the help of random numbers. Now, we shall consider a new method of sample selection in which only the first unit of the sample is selected with the help of random number, the rest being selected automatically according to a predetermined pattern. The method is known as systematic sampling. It is operationally more convenient than simple random sampling and which at the same time ensures for each unit, equal probability ofinclusion in the sample. The systematic sampling can also be termed as systematic random sampling because of the first unit of the sample being chosen randomly. The pattern usually followed in selecting a systematic sample is a simple pattern involving regular spacing of units.

7.1 Introduction

In chapter 5, the cluster sampling has been discussed in which clusters were considered as sampling units and all the elements in the selected clusters were enumerated completely. It has been stated there that the cluster sampling is economical under certain circumstance but the method restricts the spread of sample over the population which results generally in increased sampling variance of the estimator under consideration. It is, therefore, logical to expect that the efficiency of the estimator will be increased by distributing the elements over a large numbers of clusters. Hence instead of observing all the units in the selected clusters, one may like to observe only few elements of the selected clusters. This will involve the sampling work to be done also within the selected clusters. If we do so, the process of selection will involve sampling work to be done at two stage, one for selecting the clusters where sampling units are the clusters and the second for selecting the units (elements) within the selected clusters where sampling units are the elements.

8.1 Introduction

We have already discussed in details how different sampling schemes can be employed to draw the representative samples suitable to many kinds of population whose sampling units differ in nature. From practical view points, however, it is often more important to be able to make decision about certain unknown characteristics of the population on the basis of informations available in the representative samples which are drawn from the parent populations. Such decisions taken, are known as the “Statistical decisions”. For example, we may wish to decide on the basis of sample data whether (i) One educational system is better than the other or not, (ii) A given six faced die is unbiased (balanced) or not, (iii) A new insecticide is really effective to control the attack of insects or not? etc. Such problems are dealt with in the theory of statistical decisions which uses the principles of sampling theory.

9.1 Introduction

In the preceeding chapter, we have studied the estimation part of statistical decision (inference) infered about the parameters of the population on the basis of information available in the sample observations drawn from the parent population under study. In the present chapter we discuss the problems related with the tests of statistical hypothesis and its significance about the population parameters under study. For understanding of the subject matter considered in this chapter, very clearly and easily, one must be familier with the statistical terminologies used in the subject matter. Hence we discuss the various notable terminologies with some suitable examples in a simple way for better understanding.

10.1 Normal Distribution

The normal distribution is the most widely used distribution in statistics. Almost all biological data including the agricultural data eg. crop yield, plant height, seed weight, seed size, protein percent in pulse, oil content in an oil seed etc are assumed to be normally distributed. In practice their distribution is rarely verified. In distribution theory, for large values of n, the number of trial (or sample size), almost all the distributions e.g. Binomial, poission, Negative binomial, chi square, student’s t, and Snedenor’s F distributions etc. are very closely approximated by normal distribution. It is a continuous distribution with mean and variance as its two parameters.

11.1 Introduction

In the preceding chapter 10, we have discussed in detail, the test procedures for which it has been assumed that the sample size n is large, (i.e n >,30). Those tests are also known as approximate tests or z tests. But in case when sample size n is small i.e. n<30, the approximate test fails to deal with such problem and we apply the theory of exact sample, for small sample tests. The exact sample tests however can be applied to large samples also though the converse is not plausible. In all the exact sample tests, the basic assumption is that the parent population is normally distributed.

In this part we will discusse in details the exact sample tests (based on exact sampling distributions namely snedekor’s F, student’s t and chi square (c²) distributions. These distributions will be simply introduced in short because main emphasis has to be given only on the test procedures based on them.

12.1 Chi-Square Variate

The square of a standard normal variate is known as a chi - square variate or chi square statistic with one degree of freedom. Thus if , then the variate Z defined as 

Z is a standard normal variate with mean zero and variance unity (one) and  = Z² is a chi - square variate (statistic) with one degree of freedom.

In general if xi, (i=1,2,.......n) are n independent normal variates with means μ_i and variance , then  is a chi - square variate (statistic) with n degree of freedom. It is denoted by the notation  and follows chi-square distribution. Symbolically, it is expressed as .

12.2 Chi-Square Distribution

Let  be a chi - square variate with n degree of freedom. Then its probability density function is written as

13.1 Introduction

In the previous chapters, we have considered different tests of significance based on normal distribution, F distribution, student’s t distribution and Chi-square (x²) distribution which are frequently applied by the users of different disciplines of applied sciences and social sciences. In this chapter some more tests of significance are considered which have not been covered in those chapters. These tests are also based on t, F, Fisher’s z transformation,  and some other test statistics are also discussed one by one in the following sections.

13.2 t Test for Testing the Significance of an Observed Sample Correlation Coefficient r ^xy

Let r be the observed sample correlation coefficient based on a small sample of size n drawn from a bi-variate normal population with population correlation coefficient r. The standard error of r is given as

14.1 Introduction

The theory of simple correlation (r_xy), regression coefficients (b_yx & b_xy) and their test of significance have been discucsed in chapter 13. The test of significance of observed partial correlation coefficient p₁₂₃(k+2) and multiple correlation coefficient R₁₂₃, have also been discussed in sections 13.4 and 13.5 respectively. Now in this chapter mainly the process of how to calculate spearman’s rank correlation coefficient, partial correlation and regression coefficients and multiple correlation coefficient using their fundamental definitions as well as appropriate statistical formule in terms of pairwise simple correlation coefficient r_ij (i = j = 1, 2, 3) in trivariate populations have been provided to make the students and its users to be familiar with basic and crystal clear concepts of the subject matter with the help of an empirical studies based on some original data on (X₁, X₂, X₃). Here X₁ has been considered as study variate and (X₂, X₃) as covariates.

15. 1 Introduction

Data collected in social sciences and economic study, are usually based on answers provided by the respondents. These answers are aften based on re-collection of past memories and often suffer from memory lapses, intentional erros etc. As such they provide only a crude informations which are never exact. The analysis of such data on the pattern of other biological data will not yield much information because many times they will not fulfil the underlying assumptions. For such data, the non-parametric (N.P.) methods are most appropriate.

15.2 Parametric Tests

The tests which deal with the parameters of the populations, are known as parametric test e.g. Z, t & F tests are the parametric tests.

2.1. Multiple Choice Questions

1. The process of bringing a wild species under human management is referred to as ????.
   1. Selection
   2. Rejection
   3. Domestication
   4. None of the above
2. ?????was perhaps the first man to use artificial hybridization to develop several new fruit varieties.
   1. Dawrin
   2. Knight
   3. Beal
   4. Mendel
3. Plant breeding aims to ???????
   1. Improve yield only
   2. Disease resistant only
   3. Insect resistance only

3.1. Multiple Choice Questions

1. The Σ of probability will be
   1. 1.0
   2. 2.0
   3. 3.0
   4. 0.5
2. Frequency distribution can be converted in probability by calculating -------------------------------------- ?? each class which can be consider the probability of that class
   1. Individual frequency
   2. Relative frequency
   3. Both relative and individual frequency
   4. None of the above
3. In binomial distribution, mean is always greater than ---------------------------------------------------------------------------- ??.
   1. Median
   2. Mode
   3. Variance
   4. All of the above

4.1. Multiple Choice Questions

1. GoI has indicated ??? crop will be introduced without evaluating biosafety and socioeconomic desirability.
   1. GM
   2. Organic
   3. Rabi
   4. Kharif
2. ??? is AGRI UDAAN.
   1. Food and agribusiness initiative
   2. Food and agribusiness accelerator
   3. Food and agribusiness incubator
   4. Both b and c
   5. All the above
3. Union Minister for Agriculture and Farmer’s Welfare launched --------------------------------------?? quality mark logo at New Delhi.
   1. National Dairy Development Board
   2. National Dairy Development Authority
   3. National Dairy Development Authority
   4. National Dairy Development Programme
4. --------------------------------------?? state is leading in the production of litchi.
   1. Bihar

1. The first Director of IARI was ?????.
   1. M. S. Randhawa
   2. B. P. Pal
   3. M. S. Swaminathan
   4. G. Kalloo
2. In vegetable blanching is done for?????.
   1. Removal of microorganism
   2. To activate the enzymes
   3. To retention colour
   4. All of the above
3. Viviparous refers to?????.
   1. Germination of seed on mother plant
   2. Germination of seed in the field
   3. Germination of the seed on monoecious plant
   4. Germination of seed on any place
4. Sourness in radish is due to ?????.
   1. Isosinate
   2. Isothiocinate
   3. Anthocyanin
   4. All of the above

• Fruit research in India was started in the department of Botany in six-agriculture College in 1905.
• A pomological station was established at Coonoor, Ooty in 1920 to study the adaptability of temperate fruit varieties.
• Four Regional Research Station in - 1933

Subtropical location at

• Sabour, Bihar
• Koduru, Madras
• Krishnanagar, Bengal
• Temperate Region at Chaubatia, Uttarakhand
• The research was also initiated in 1945 in Jammu and Kashmir by the Survey of deciduous fruits
• In 1950, Horticulture Research Station was established at Kandaghat and Kullu

• Agriculture - 26% GDP, Processed food industry - 6.3% GDP.
  1. Simple fruits: Fruits which develop from a single ovary of a single flower e.g., Lemons, citrus, peach, apple, pear etc.
  2. Aggregate fruits: Fruits which develop from many ovaries of a single flower e.g., Raspberry, strawberry, blackberries.
  3. Multiple fruits: Fruits which develop from many ovaries of many flowers e.g., Pineapple.
• Pre harvests spray of calcium and brown on fruits and results in improving firmness.
• Worldwide postharvest fruits and vegetable losses are as high as 25-40.

Plant structure

• Peach – In leaf axils is called – as (blind bud).
• Pecans and walnut, 2-4 buds development at one bud.
• Plants which grow from adventitious buds on the roots are called suckers.
• Some are broad-leaved evergreen: Citrus, mango, litchi, avocado.
• Narrow-leaved evergreen – (coniferous trees)
• Deciduous plants: apple, pears, grape, apricots, pecans.
• Monoecious: Walnut, pecan nut, hazelnut, Tung coconut, cucurbits.
• Dioecious: Papaya, date palm, pistachio nut muscadine grape pointed and snake gourds asparagus.
• Spike inflorescence: Banana
• Catkin: is a spike pecan nut, oak, mulberry, dates and walnut.
• Raceme: Pear
• Corymb: Cherry, pear, candytuft.
• Fascicle Inf.: Phlox and apple.
• Panicle: Mango, grape, litchi.
• Self-pollination (autogamy)
• Cross-pollination (autogamy) (gait gamy)
• Dischongamy: Walnut, pecan nut, macadamia nut.
• Self sterility: Almond, some fruit, onion, marigold.
• Incompatibility: Mango, ber, loquat, apple.
• Wind pollination: Walnut, pecan, nuts, coconut, dates.
• Insect pollination: Apple, mango, peach, fig, coconut.
• Birds: Pineapple and banana.
• Water: Water lily, water chestnut.
• Seedless fruits: Banana, pineapple.
• When plants set and mature fruits without pollination, it is called as vegetative parthenocarpy. Banana, Japanese person, fig, orange, grapefruit.
• Monocarpic: One crop of seed and then dies.
• Polycarpic: One crop of seed and then does not die.
• Media for propagation: 5.5-6.5 pH.

Aonla

1. Fruit necrosis

• Fruit necrosis is especially a problem in ‘Francis’
• Boron deficiency / Borax at 0.6%, September-October.

2. Fruit drop

i) First wave: 70% lack of pollination

ii) Second wave: Dormancy break

iii) Third-wave:

Dry spell, number of developing fruits. Imbalance of hormones and improper nutrition.

Fluctuation in temperature, variety and age of the tree.

Apple

1. Scald

Introduction, importance and scope of Canopy management

• The tatura trellis uses more water than other systems.
• Light interception ranges from 57 to 81% of available light.
• HDP increases light interception of 20% and 60%.
• Meadow orchard system affords more light than other conventional systems.
• The orientation of North to South intercept should be about - 89% of direct and 87% of diffused light.
• Summer priming in combination with dormant priming reduces light interceptor by 15%.
• In the bottom of 4m tall trees, the light is reduced to 10% of full sunlight.
• Light transmittance is a logarithmic function of the leaf area index.
• Photosynthetic Active Radiation (PAR) is from 380-720 nm.
• Photosynthesis to be about 60% of the maximum at 25% of full sunlight.

Breeding objectives genetic resources and techniques for breeding

• There are countries that consume 100 to 150 kg yearly per capita while others which do not even make it to 10kg.
• Genetic variability is the raw material of the plant breeder.
• International network for the improvement of Banana and Plantain (1 NIBAP), Prance to conserve the available germplasm.
• Only pathogen gene-free planting material can be used for construction or distribution from the gene bank for further multiplication or utilization in any breeding program.
• Fruit breeders have therefore tended to utilize single gene variants in performance to polygenic variation.
• In general, for most commercial requirements, homozygous is inadequate by six or seven generations of selling (56 or 37).
• In the dominance hypothesis, it is assumed that the deleterious gene is normally recessive.
• The simplest approach for the selection of our breeders is mass selection.

Introduction to Hi-Tech Horticulture Greenhouse area in different countries

1. Japan - 42,000 (ha)
2. Holland - 10,000 (ha) 3) Italy - 20,000 (ha)
3. USA - 4,000 (ha)
4. India - 700 (ha)
   • Crops are grown in the greenhouse Strawberry, grapes, citrus, banana, papaya, melons.
   • Salt affected soils in different states: UP - 2,375 °
     • Gujarat - 1,334
     • W.B. - 1,150
     • RJ - 458
     • Punjab - 749 Haryana - 636

Annual rainfall requirement- 75-190 cm

Common names of Malda - Fazli in Calcutta Bombay green in UP Sehroli in Delhi

• The ‘Portuguese Jesuits in Goa started Inarching about 300 years ago. (90% success)
• The seedlings can be inarched when they are three months old as is done in the “Philippines”.
• The Indian nurserymen usually practice inarching in one-year-old seedlings.
• Grafts onto older seedlings result in poor root system.
• There should be no rain; otherwise, water gets inside the union and causes rotting of tissues.
• The name Mangifera was given for the first time by “Bontus” in 1658 when he referred to this as arbor Mangifera (the tree producing mango). Linnaeus also referred it as Mangifera arbor in 1747 before changing the name to its present form “Mangifera indica” in 1753.

Mango was firstly grown within glasshouse in 1960 at England.

• Seeds stratification at 4-7°C for 60-90 days from December to February.
• Scions cannot be used for grafting at their active stage of growth.
• Meadow orcharding: 20,000-70,000 plants/ha (Super high density)
• Bitter pit of apple: Golden delicious, yellow (due to calcium) Newton.
• Internal browning: Newton
• Himachal Pradesh is known as the “Apple bowl of India”
• Flower colour: White to Pink
• Apple is the most widely grown temperate fruit in the world
• India rank 5th in apple production in the world
• Apple crop accounts for 55% of the total area and 75% of the total production of temperate fruits in the country.
• 25% to 33% of pollinating trees in India are recommended for regular cropping.
• San Jose scale was introduced in India from France in 1906.
• Apple cider-fermented wine is prepared from apples.

• It is controlled to parthenocarpy and sterility which can be achieved by triploids. Wild species - M. acuminata and M. balbisiana
• The cultivated edible banana is mainly triploid.
• The major problems in the breeding of banana are sterility, polyploidy and parthenocarpy.
• The underground portion of banana is a modified form of stem known as rhizome.
• The portion above the ground made of sheaths of leaves is known as pseudostem.
• Banana initiates flowering 9-12 months after planting.
• Sword sucker with narrow, slender leaf blades is the best planting material.
• Banana is a moisture and nutrient loving shallow-rooted plant.
• Simmonds and Shephard (1955) devised a scoring technique for genomic classification of banana.
• Pollination in banana is mediated mainly by bees and birds.
• Banana fruit follows the double sigmoid growth curve (seeded -sigmoid parthenocarpic - double sigmoid)

Citrus reticulata

• A highly polyembryonic species of Chinese origin
• Mandarin occupies 43% area and 42% under citrus spp.
• Seeds of citrus plants do not have dormancy so they should be sown immediately after extraction.
• Blooms three times a year.

  a) February flowering – Ambe bahar

  b) June flowering – Mrig bahar

  c) October flowering – Haste bahar

• Mandarins are highly susceptible to waterlogging.
• Rootstock for HDP – Troyer citrange (1.8 × 1.8 m2)
• Best time for pruning – Last winter or early spring.

• Coconut Research Station (CRS)-1916.
• Central Coconut Research Station, Kayangulam, Kerala (CCRS)- 1947.
• Generic name (cocus) is derived from the Spanish word ‘coco’ which means ‘monkey face’.
• Coconut industry employs 10 million people.
• Monolaurin content of coconut oil has anti-HIV property.
• Dwarf coconut is self-pollinated while and tall coconut is cross-pollinated in nature.
• Fully mature nut has 30-40% coir.
• Kerala has the highest share (45%) in coconut production in India: followed by Tamil Nadu (22%) and Karnataka (12%).
• The productivity of (7608 nuts/ha) Indian coconut is the best in the world.
• India ranks no.1 in terms of coconut productivity in the world.
• In India, 9-12 months old seedlings are generally transplanted
• Coconut is derived from the Spanish word ‘coco meaning ‘monkey face’.
• Tall palms: Var. typical (Nar), most commonly cultivated in all the coconut growing areas of the world, the height of 25-30m. Long pre-bearing age of 6-10 years, cross-pollinated.

• Fresh seeds germinate in 20-30 days giving as high as 90% germinate.
• An NPK mixture supplying 375g N + 202 P2O5+375kg o/tree gave the highest mean-field of 33 fruits/tree and 14.88 kg fruit/tree.
• Flowering planting after four years.
• Flower bud differentiation of at 40 leaves stage.
• Flowering time March-April after 7 weeks of fruit development.
• Mealybug attacks shoots and in between the fruit segments – 0.5% phosphamidon or dichlorvos.
• A virus transmitted by lace bug or mealybug causes pineapple wilt.
• Ripon normally can be stored at 5°C for six weeks.
• Suckers weighing 500-750g and slips weighing 300-400g are better for yield and quality.
• Pineapple exhibits vegetative parthenocarpy and self-incompatibility.
• This is non-climacteric fruit.
• Sunscald discord is due to exposure of fruit to sun rays. Multiple crown/ fasciations is another important disorder probably due to genetics/nutritional factors.
• It contains an enzyme known as Bromelin.

Yellow pigment in papaya - Caricaxanthin

• The enzyme present in dried latex of papaya (papain) is pepsin.
• Frost is the most limiting factor for papaya cultivation in North India.
• Papaya is a polygamous plant. –
• 20 seeds of papaya weigh one gram
• Carpine obtained from papaya is used as a diuretic and heart stimulant.
• 10% male plants are planted wherein dioecious varieties are calculated.
• Papaya plants are extremely susceptible to waterlogging.
• Papaya is thermosensitive crop.

  Carica candoamarcensis is scientific name for Mountain papaya.

• Papaya has the highest production after banana.
• Sunrise Solo type papaya produces no male plants.

• More tolerant to wet soils but less tolerant to drought than apple.
• Browning of pears is due to polygalacturonase activity.
• Major acid - Malic Acid
• Chilling - China Pear (Low chilling) - 150 hrs.
• European pear - 1200-1500hrs.
• Most commonly used clonal rootstock - Quince A cutting.
• Quince is scientifically - Cydonia oblonga origin - South-Eastern Europe and Asia minor.
• Quince is a monotypic genus
• Vigorous rootstock - Pyrus pashia
• Graft incompatibility is overcome by double grafting with old home or hardy varieties.
• In India, the open center system is common
• Training system modified central leader system

• Delicious Fruit
• Sapota fruit is a good source of sugar which ranges between 12 and 14 per cent.

Cultivars

• Kalipatti, Chaatri, Dhola Diwani, Long Bhuni or Bhunipatti, Jingar, Vanjet, Pata Kirthabharthi Dwarapudi, Cricket Ball, Oval, Vavi Valosa, Bangalora Calcutta Round, Jonnavalosa I, II, round Baramari Pot Sapota, Gavarayya, Thagonampadi, Ayyangan (Rose scented)
• Flowers of Sapota and protogynous Pollination is mediated through the wind.
• The most ideal soils are deep alluvium, sandy loamy red late rites and medium black soils.
• Sapota is a tropical fruit crop optimum temperature ranges between 11°C and 34°C.
• Sapota is grafting of inarching.
• Rootstock – Sapota seedlings, Rayan or Khirnior pala Adam’s apple, Mahua, Star apple.
• Seed germinates by the 4th week, budding and grafting is done on seedling about 1cm thick.

• Air layering is called “Marcottage” in China and “Gootee” in India.
• IBA (2-10g/liter of water) is most effective in root promotion in air layering of litchi.
• Flowers are petalless.
• Subtropical evergreen fruit tree; prefers a moist climate.
• Moist summer and cool winter favour litchi production.
• Red pigment – Anthocyanin.
• The pulp is an outgrowth of the seed in litchi.
• Roots – Mycorrhizal association (Fungus).
• July-October is the most appropriate time for propagation.
• January end to the onset of monsoon is a critical period for irrigation of litchi.

• Fast track plum breeding started with an aim to reduce the juvenile period in temperate fruits.
• Transgenic early continuous flowering (ECF) gene induces early flowering.

  Chilling requirement

• Japanese Plum - 700-1000 hrs - below – 7°C
• European plum - 1000-1200 hrs - 7°C
• Clonal rootstock for raising plum plants: Myrobalan B.
• Dwarfing rootstock – P. subcordata
• Planting time – Dec-Jan
• Training System – Open centre system – oldest
• Japanese plums are mostly adaptable to open centre system.
• Fruit thinning agents – DNOC, Ethephon, 3-CPA
• Japanese plum needs thinning upto 25 - 40%.
• European Plum: President, Victoria, Starking Delicious, Greengage.
• Japanese plum – Beauty, Santa Rosa, Mariposa. Kelsey, Frontier, Elephant Heart, Satsuma
• Subtropical – Sultlej Purple, Kala Amritsari, Titron.
• Self-fruitful – Beauty, Mariposa