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UNIVERSITY OF AGRICULTURAL SCIENCES ,
DHARWAD-580005
Master’s seminar I
On
Agricultural based Livelihood Systems in Dry lands
- Challenges and Strategies
CHEDARLA MOUNIKA LEENA
PGS21AGR8687
DEPARTMENT OF AGRICULTURAL EXTENSION EDUCATION
COLLEGE OF AGRICULTURE, DHARWAD
Date : 10/03/2023
FLOW OF THE SEMINAR
NEED TO FOCUS ON DRY LANDS
CHALLENGES
INTRODUCTION
RESEARCH STUDIES
STRATEGIES
CONCLUSION
SUCCESS STORIES
INTRODUCTION
 Total geographical area of India is 328 mha , 228 mha (69%) of area
falls under dryland (UNCCD)
 68 per cent of the cultivated area in Indian agriculture comes under
dryland, which contributes about 44 per cent of the total food
production
 More than 75 per cent of Karnataka area is categorized as dry zones
 In India, 128 districts have been recognized as dryland farming
areas
Land Area(M ha)
Geographical area 328.73
Net cultivated area 140.71
Net irrigated area 57.10
Gross irrigated area 78.00
Rainfed area 83.61
Land used in India
Arid and semi arid regions of India
Climate Area (M ha) Regions
Arid tropics 31.7 Rajasthan, Gujarat, Punjab,
Haryana, Parts of Karnataka,
Andhra Pradesh
Semi arid tropics 95.7 Maharashtra, Karnataka, AP, TN,
Punjab, Haryana, UP,MP
Source : Agricultural Statistics at Glance , 2021, MOA
Source: CRIDA, 2013
Districts with dryland climate
Dryland Districts
Arid
Semi arid
Dry sub-humid
N
World scenario of drylands
Drylands cover
41%
The number of people
2 billion
Forest
18%
Barren land
28%
Grass land
25%
Source : FAO,2019
Arid Hyper arid
Semi arid Dry subhumid
Source: UNEP-WCMC
The world’s drylands
What are Drylands??
 Drylands are characterized by a scarcity of water, which affects both
natural and managed ecosystems and constrains in the production of
livestock as well as crops, wood, forage and other plants and affects the
delivery of environmental services.
 Drylands have been shaped by a combination of low precipitation,
droughts and heat waves, as well as human activities.
FAO
What is Dryland agriculture??
• Dryland Agriculture refers to growing of crops entirely under
rainfed conditions
Dry Farming:
Cultivation of
crops in areas
where rainfall is
less than 750 mm
per annum
Dry land
Farming:
Cultivation of
crops in areas
receiving rainfall
above 750 mm
Rainfed
Farming:
Cultivation of
crops in regions
receiving more
than 1,150 mm
Concept of Livelihood Systems
LIVELIHOOD
A livelihood comprises the capabilities, assets (including both material
and social resources) and activities required for a means of living
(Chambers and Conway, 1992)
A livelihood system is the total combination
of activities undertaken by a typical household
to ensure a living.
LIVELIHOOD SYSTEMS
 Most rural households have several income
earners, who pursue a combination of crop and
livestock, farm, off-farm and non-farm activities
in different seasons to earn a living
Agriculture-based livelihood activities
 Agriculture-based livelihood activities occupy a very significant position in the
economic development of the Indian economy as agriculture sector has a high
employment potential
 In agricultural based livelihoods, crop and livestock production are the most
important components
1.Crop based Farming Systems 4. Livestock based Farming Systems
2.Farmer centric farming systems 5. Multi-enterprise farming systems
3.Agro-forestry based Farming Systems 6.Watershed based farming systems
Rashmi et al, 2018
o The agro-ecosystems in dry areas comprise a diverse and complex mix
o The dry areas are home to several important centres of origin
o Agricultural production systems in the drylands face not only persistent
water scarcity and frequent drought
o But also high climatic variability, land degradation, desertification and
widespread poverty
o At one end are livelihoods systems with a low asset base
o At the other end are livelihoods systems with an asset base sufficient.
WHY NEED TO FOCUS ON DRYLANDS
Land degradation
and poor
productivity
Climate risks
Poor
productivity of
livestock
Yield Variability
Resource poor farmers and
inadequate credit availability
Poor market
linkages
No reliable data for
rainfed in central
database systems
NRAA, 2022
LAND DEGRADATION AND POOR PRODUCTIVITY
• As a result, the natural resource base in rainfed areas has got
severely compromised and has led to soil erosion and loss in soil
fertility.
The intensive approach to agricultural production system has not
focused adequately on conservation of natural resources
 Land degradation will be impacting agricultural productivity,
biodiversity loss, environmental change, and its effects on food
security
 97.85 mha of India’s total geographical area (TGA) of 328.72 mha
underwent land degradation
 Around 23.79% of the area undergoing desertification / land degradation
with respect to TGA of the country was contributed by Rajasthan,
Maharashtra, Gujarat, Karnataka, Ladakh, Jharkhand, Odisha, Madhya
Pradesh and Telangana
 Average annual rate of soil erosion in the country is 16.35 tonnes per
hectare
 Other causes of soil degradation include rapid depletion of soil organic
matter
Source : (NBSS&LUP,2019)
Sl.No. State
Total area under
desertification(2011
-13) hectares
Total area under
desertification(2018-19)
hectares
1 Andhra Pradesh 22,98,758 23,78,042
2 Chhattisgarh 22,11,153 23,06,531
3 Gujarat 1,02,61,641 1,02,48,057
4
Himachal
Pradesh
23,94,240 24,00,300
5 Karnataka 69,51,000 69,59,847
6 Maharashtra 1,38,25,935 1,43,06,029
7 Rajasthan 2,15,26,512 2,12,37,665
8 TamilNadu 15,43,898 15,99,981
9 Telangana 35,98,856 36,38,508
Area under desertification
Source: data.gov.in
CLIMATE RISKS
• Climate change and climate variability
impact Indian agriculture
• Rainfed areas experience 3 to 4 drought
years per decade
• The rainfall distribution is becoming more
skewed with a smaller number of rainy days
and higher intensity of rainfall causing more
soil erosion
Average flood affected agricultural areas between 2000 to 2018 in India
Source: IWMI
Source :EMDAT ,2021
POOR PRODUCTIVITY OF LIVESTOCK
 Animal husbandry is an integral component of rainfed farming systems
and, is a significant revenue stream for farmers
 Possession of livestock - both large and small ruminants, serves as a source
of liquidity for rural farming communities.
 Livestock contribute 4.35% of the GDP&
29.35% of the full agricultural GDP
The low productivity of livestock in dry
lands due to water scarcity and shrinking of
common grazing resources
The shortage in fodder availability is a
major reason of Indian livestock’s milk
productivity
It is lower by 20-60 per cent compared to
the global average.(IGFRI,2019)
The policies on livestock focus only on
improvement of cows and buffaloes, while
other livestock are unnoticed
YIELD VARIABILITY
• In several rainfed areas, large yield gaps still remain in several crops and
regions between yields obtained at research stations and on farmers’ fields
• Crop yields vary for different crops and regions in rainfed and irrigated
regions, though broadly the productivity of rainfed areas is around 1.1
tonnes/hectare, as against an average of 3 tonnes/ hectare in irrigated
areas
Resource poor farmers and inadequate credit availability
 Marginal and small farmers are dependent mostly on informal sources of
credit
 Credit that is met from informal sources is 40.60 per cent, 52.10 per cent,
and 30.80 per cent, for the landless, marginal farmers, and small farmers
 This shows a lack of access to credit facilities and formal financial
mechanisms
No reliable data for rainfed in central database systems
 Standardized agronomic, soil, water, market-related, and socioeconomic
datasets for agriculture are essential for real-time decision making and
sustainability
 Despite the substantive scale of rainfed agriculture that exists in terms of
cultivation area and the farmer population, huge gaps persist in data
availability and data quality
 In addition, existing datasets also lack standardization as it prevents inter
operability and decision-making
Poor market linkages
 Market risk lead to unstable incomes
 Further, farmers often sell their produce at low prices due to unreliable
market channels and unregulated markets
 Inadequate post-harvest handling and storage facilities which prevent
farmers from stocking up and selling at the right time and accessing other
markets
STRATEGIES
FOR AGRICULTURAL BASED LIVELIHOOD
SYSTEMS IN DRYLANDS
Release new climate-resilient
varieties suited for rainfed regions
Promoting integrated farming systems
(IFS)/integrated livelihood system (ILS)
Promoting efficient natural resource
management in rainfed agriculture
Minimizing soil degradation and
restoring
Encourage allied agricultural activities
S
T
R
A
T
E
G
I
E
S
Encourage allied agricultural activities
 Enhancing income through animal husbandry
 Enhancing income through horticulture
Release new climate-resilient varieties
 Release of cultivars with high resilience and yield potential is
essential, especially for smallholders through decentralized seed
system
 A suitable delivery mechanism
 Community seed banks (CSBs)
 This will aid in adaptive capacity against the contingencies of
climate risks, such as repeat sowing in case of crop failure
 Conserving and mainstreaming the local crop varieties
Promoting Integrated Farming Systems (IFS)/
Integrated Livelihood System (ILS)
IFS
Integration of two or
more enterprises
Horti-Millet based
cropping systems
Kitchen gardens
Integration of high tock ,
fishery, poultry activities
Adoption of secondary
agriculture
 Excavation of ponds in 65% area for aquaculture and raising
embankments on the remaining 35% land for horticulture can
replace traditional low productive rice-fish culture with 3-5 times
enhanced production, income and employment generation from a
unit of land.
Promoting efficient natural resource management in
rainfed agriculture
Farm ponds
Jalkund
Check dams
Land shaping
In-situ
incorporation of
biomass and crop
residues
Precision water
management
practices
Minimizing soil degradation and restoring
 Adoption of suitable soil conservation
measures
 Soil rehabilitation and soil restoration
should also be a priority
 Improving water and nutrient use efficiencies by
decreasing losses and increasing biomass
production
 Farming practices, agroforestry, ley farming
utilising organic manures are ways to increase SOC
Integration of on-farm and non-farm activities
Diversification into value added chain
of Aqua-culture, Agro-forestry, and
Horticulture
 Creation of non-farm jobs involving micro-
enterprising due to low primary productivity and
seasonal nature of the agricultural activities in the
dryland
5.20%
5.60%
7.40% 7.50%
9.90%
7%
FY 2013 FY 2014 FY 2015 FY2016* FY 2017 ** FY2018***
Growth rate of gross value added from livestock in
agriculture across India from financial year 2013 to
2018
Growth
of
livestock
Livestock rearing and dairying has 4-5 times more employment generating
potential compared to crop cultivation
S W
O C
1. Generation of value-added products
2. Has high biodiversity
3. The willingness of farmers is very high in
improving the productivity of dryland
4. Has average rainfall from low to high
5. Has topography from flat to steep
1. Low dryland productivity
2. Low farmer income
4. Weak managerial capabilities of farm
technical and appropriate
technology at the farmer level
5. Limited facilities and infrastructure
supporting dryland development
6. Ineffective marketing information
1. The research institutions of ministries
and universities that concentrate in the
development of agricultural technologies
and resources.
2. Increasing needs or public demand for
agricultural commodities
3. The amount of interest of investors in
agribusiness
4. Wider market share of agricultural
products
1. Lack of opportunities in non-farm
sector
2.Environmental degradation due to
erosion
3.Lack of collateral and access to
credit facilities
4.Lack of adequate and quality
breeds of livestock and improved
varieties of crops.
5.Inadequate fodder availability low
productive livestock
SUCCESS STORIES
Profitable Mushroom cultivation
Name of the farmer : Thiru.P.Ramalinga
Block : Kariapatti
District : Virudhunagar
State : Tamil Nadu
Year : 2017-2018
Brief about the farmer:
Virudhunagar district is one of the backward districts in Tamil Nadu. It is a dry land
region. Agriculture is the livelihood of people living therein. Crops are mostly grown under
rainfed conditions. The unpredictable nature of seasonal variations in farm income has been
pushing farmers into non-farm activities
During the year 2014, he attended one day paid training at Regional Research Station,
TNAU, Aruppukottai, Virudhunagar district.
He started to cultivate milky mushroom during 2016. He switched over from milky
mushroom to oyster mushroom cultivation during 2017
Finally, he approached Dr.K.Manonmani, SMS (Plant Pathology), for technical
advisories. With the intervention of KVK Virudhunagar, he has been now cultivating oyster
mushroom cultivation in a profitable way
The introduction of new technical package for oyster mushroom
cultivation has enhanced production of oyster mushroom with an increase
in cost of cultivation. But the yield of oyster mushroom has tripled
Mr.P.Ramalingam has been harvesting, on an average, 15kg/day of oyster
mushroom. The monthly net profit earned from oyster mushroom cultivation
is around Rs.40000/-.
Crop Cost of cultivation(Rs.) Yield (Kg)
(2017) (2018) (2017) (2018)
Mushroom 91,250 2,19,000 1,825 5,475
A SUCCESSFUL BETEL VINE CULTIVATOR
Name : Smt. Ashma M. Hombal,
Village : Chalachgudda,
Block : Badami,
District : Bagalkot,
State : Karnataka
Year : 2022
TRAINING MOTIVATION:
She was attracted to agriculture, after seeing the other members
from her family practicing agriculture for livelihood and sustenance
and then decided to be with them
Her family was cultivating betelvine since ages
 Asma added banana and coconut to the farm diversity after
studying the local market.
She is in continuous touch with ICAR-Krishi Vigyan Kendra,
Bagalkot and Horticulture Department officials for getting guidance
from time to time.
 She is cultivating betelvine in 3 acres of land earning profit of 36,000 per
month
 Besides betelvine, the other major crop is banana. Two acres of banana
cultivation fetches a profit of Rs 50,000
 In one acre of land she grows cowpea earning around Rs. 15,000 profit per
season. This also provides biomass to soil and fodder to animals
 She has 200 coconut plants along the bunds earning a profit of Rs
50,000/month . Milea dubia, drumstick, neem trees along the bunds are the
long-term investments for future income
 Livestock unit with five buffalo, one cow of Holstein Friesian breed , three
goats and a flock of 10 birds ensures manure requirement, meets family
nutrition and regular income
 She is earning around Rs 30,000 per month from livestock unit
ACHIEVEMENTS
RESEARCH STUDIES
COMPARATIVE ANALYSIS OF LIVELIHOOD SECURITY
OF THE FARMERS PRACTICING DIFFERENT FARMING
SYSTEMS IN MANDYA DISTRICT OF KARNATAKA
Sample size Sampling method Research design
120
Purposive Random
Sampling method
Ex-post facto
research design
Study Area : Mandya district of Karnataka
Shwetha et.al, 2021
Comparison between livelihood security of the farmers practicing different
farming systems in Mandya district
Sl.
No
Farming system N Mean score Chi-square value
1 Paddy+Dairy n1=30 73.66
24.40**
2 Paddy+Dairy+Horticulture n2=30 134.26
3 Sugarcane+Dairy n3=30 86.53
4 Sugarcane+Dairy+Horticulture n4=30 155.43
Dimension wise level of livelihood security of the farmers practicing different
farming systems in Mandya district
Sl.
No
Dimensions Scores Percentage of scores Rank
A Paddy + dairy farming system (n1=30)
1 Food and nutritional security 92 61.33 II
2 Economic security 85 56.00 V
3 Ecological security 91 60.66 III
4 Social security 95 63.33 I
5 Psychological security 88 58.66 IV
6 Physical security 84 56.00 VI
Sl.
No
Dimensions Scores Percentage of
scores
Rank
B Paddy +dairy+horticulture farming system (n2=30)
1 Food and nutritional security 103 68.66 II
2 Economic security 101 67.33 III
3 Ecological security 105 70.00 I
4 Social security 99 66.00 IV
5 Psychological security 96 64.00 V
6 Physical security 88 58.66 VI
C Sugarcane +Dairy farming system (n3=30)
1 Food and nutritional security 92 61.33 VI
2 Economic security 101 67.33 III
3 Ecological security 110 73.33 I
4 Social security 105 70.00 II
5 Psychological security 98 65.33 IV
6 Physical security 95 63.33 V
Sl.
No
Dimensions Scores Percentage of
scores
Rank
D Sugarcane+Dairy farming system (n4=30)
1 Food and nutritional
security
105 70.00 III
2 Economic security 112 74.66 II
3 Ecological security 98 65.33 IV
4 Social security 115 76.66 I
5 Psychological security 95 63.33 V
6 Physical security 92 61.33 VI
PERCEPTIONS AND ADAPTATION STRATEGIES TO
CHANGING CLIMATE: EVIDENCE FROM FARMERS OF
NORTHERN DRY ZONE OF KARNATAKA
Sample size Sampling method Research design
240
Multi-stage
Random sampling
method
Ex-post facto
research design
Study Area : Vijayapura and Bagalkot district in Karnataka
Ravi et.al, 2021
Sl.
No
Adaptation strategies
Vijayapura district Bagalkot district
Mean
Garrett
Score
Rank
Mean
Garrett
Score
Rank
1 Crop diversification 95.45 I 66.69 IV
2 Inter/ mixed cropping 77.42 II 86.56 I
3 Use of drought and heat resistant varieties 60.91 V 65.69 VII
4 Change in planting date 57.70 VI 73.15 III
5 Short duration and early maturing varieties 56.02 VII 66.34 V
6 Off-farm employment 70.35 III 66.20 VI
7 Crop insurance policies 49.33 IX 63.12 VIII
8 Sale of farm assets and livestock 38.67 XII 50.00 XII
9
Water conservation through farm pond and
bunding
64.09 IV 79.50 II
10 Migration to urban areas 55.24 VIII 57.20 X
11 Borrowing from relatives and money lenders 47.58 X 59.36 IX
12 Government relief measures 45.36 XI 52.50 XI
Farmers adaptation strategies to changing climatic condition
Sl.No Constraints experienced
Mean
Garrett
Score
Rank
1 Non-availability of timely weather forecasted information 72.80 II
2 Lack of credit facility for farmers 38.52 XI
3
Lack of knowledge about need based improved agriculture
technologies
47.55 IX
4
Lack of market access (poor transportation networks and
market information system)
43.15 X
5 Lack of information about crop insurance service 54.80 VII
6 Non-availability of timely farm inputs 65.44 III
7 Limited access to agricultural extension services 59.21 V
8 Low/no subsidies on desired agricultural inputs 36.05 XII
9 Lack of belief on current weather forecast system 51.27 VIII
10 Irregularity in power supply 55.65 VI
11
Lack of knowledge and information about climate change
adaptation strategies
78.09 I
12
Lack of knowledge and information about climate change
adaptation strategies
62.25 IV
Constraints experienced by the farmers in adaptation to changing climate (n=240)
A STUDY ON ATTITUDE OF FARMERS TOWARDS
LIVELIHOOD DIVERSIFICATION IN KOLAR DISTRICT
OF KARNATAKA
Sample size Sampling method Research design
150
Purposive
Random Sampling
method
Ex-post facto
research design
Study Area : Kolar districts of Karnataka state
B. S. Lakshman reddy (2019)
Nature of livelihood diversification among farmers
Sl.
No
Type of livelihood
diversification
Marginal
farmers
(n1=50)
Small
farmers
(n2=50)
Big farmers
(n3=50)
Total
f % f % f % f %
A Farm activities
1 Agriculture 48 96.00 50 100.00 50 100.00 148 98.66
2 Horticulture 15 30.00 36 72.00 45 90.00 96 64.00
3 Sericulture 8 16.00 15 30.00 18 36.00 41 27.33
4 Animal husbandry 34 68.00 47 94.00 43 86.00 124 82.66
5 Poultry 12 24.00 17 34.0 0 21 42.00 50 33.33
B Non-farm activities
1 Agriculture labour 41 82.00 37 74.00 0 0.0 78 52.00
2 Formally employed 16 32.00 19 38.00 37 74.00 72 48.00
3 Service 13 26.0 12 24.0 15 30.0 40 26.66
4 Wage labour 23 46.0 11 22.0 0 0.0 34 22.66
5 Transportation 4 8.0 9 18.0 21 42.0 34 22.66
6 Trade 4 8.0 7 14.0 20 40.0 31 20.66
7 Sand mining and
quarrying
4 8.0 9 18.0 13 26.0 26 17.33
8 Manufacturing 5 10.0 6 12.0 14 28.0 25 16.66
9 Driver 7 14.0 3 6.0 0 0.0 10 6.66
10 Construction 4 8.0 3 6.0 2 4.0 9 6.00
11 Handicraft &
Artisan
3 6.0 1 2.0 2 4.0 6 4.00
12 Commission agent
(broker)
0 0.0 1 2.0 1 2.0 2 1.33
13 Marketing of
vegetable and
fruits
0 0.0 0 0.0 1 2.0 1 0.66
Constraints in livelihood diversification as perceived by the farmers
Sl.
No
Constraints
Marginal
farmers
(n1=50)
Small
farmers
(n2=50)
Big farmers
(n3=50)
Total (n=150)
f % f % f % f %
A INFRASTRUCTURAL CONSTRAINTS
1 Lack of water resources 50 100.00 50 100.00 50 100.00 150 100.00
2
Lack of marketing facilities
for the products
33 66.00 49 98.00 46 92.00 128 85.33
3
Lack of sufficient extension
workers
39 78.00 41 82.00 42 84.00 122 81.33
4
Inadequate financial
institution in the locality
48 96.00 46 92.00 27 54.00 121 80.67
B PROMOTIONAL CONSTRAINTS
1
Insufficient government
incentives
42 84.00 46 92.00 39 78.00 127 84.67
2
Government programme not
suitable to the needs of the
farmers
47 94.00 38 76.00 37 74.00 122 81.00
3 Lack of own capital 50 100.00 46 92.00 32 64.00 128 85.33
Sl.
No
Constraints
Marginal
farmers
(n1=50)
Small
farmers
(n2=50)
Big farmers
(n3=50)
Total (n=150)
f % f % f % f %
C SOCIAL-ECONOMIC CONSTRAINTS
1 Inadequate or no
experience on new
occupation
46 92.00 48 96.00 39 78.00 133 88.67
2 Inadequate information
and knowledge about
diversification
46 92.00 48 96.00 39 78.00 133 88.67
3 Lack of own capital 50 100.00 46 92.00 32 64.00 128 85.33
D OTHER CONSTRAINTS
1 Climatic change 50 100.00 50 100.00 50 100.00 50 100.00
2 Lack of adequate natural
resources for livelihood
diversification
50 100.00 50 100.00 44 88.00 144 96.00
3 Risk and uncertainty 18 36.00 43 86.00 38 76.00 99 66.00
4 Less production and
productivity
4 8.00 46 92.00 22 44.00 74 49.33
FACTORS LIMITING RURAL YOUTH PARTICIPATION IN
AGRICULTURE BASED LIVELIHOOD ACTIVITIES IN TEHSIL
KARSOG OF HIMACHAL PRADESH
Sample size
240
OBJECTIVE OF THE STUDY
 To identify pre-dominant agriculture-based
livelihood activities rural youth participate in.
 To analyze the factors limiting youth
participation in agriculture-based livelihood
activities in the study area
Rashmi Choudary et.al,(2018)
RESULTS
Predominant Agricultural Based Activities Youth Participate in the Study Area
Agricultural Activities Involved Not Involved Ranking
Bee keeping 74 (29.60) 176 (70.40) 3
Fishing 25 (10.00) 225 (90.00) 9
Crop farming 109 (43.60) 141 (56.40) 1
Trading agricultural inputs 65 (26.00) 185 (74.00) 5
Farm labor services 67 (26.80) 183(73.20) 4
Livestock Rearing 86 (34.40) 164 (65.60) 2
Transportation of
agricultural products
53 (21.20) 197 (78.80) 6
Processing of agricultural
products
37 (14.80) 213 (85.20) 8
Farm implements hiring
services
49 (19.60) 201 (80.40) 7
Respondents’ Perceptions of Factors Limiting Youth Participation in Agriculture-Based
Livelihood Activities
Statements Mean Standard deviation
High input cost 4.20 0.756
Unfavourable agricultural policies 3.54 0.788
Monkey menace and stray animals 3.92 0.877
Small land holdings 3.68 1.151
Labor unavailability 2.70 1.199
Poor return on investment 4.44 0.760
Poor marketing structure 3.72 0.882
Poor access to basic information pertaining to
agriculture based livelihood activities
3.10 1.035
Poor agricultural credit facilities 3.08 1.291
No future in agriculture 3.32 0.844
Highly risky 3.42 1.230
Inadequate infrastructural facilities to support
farming activities
3.50 0.839
Unpredictable prices of agricultural produce 4.22 0.764
ANALYSIS OF EXISTING LIVELIHOOD SYSTEMS OF
RESPONDENTS IN RAINFED ECOSYSTEM OF KOPPAL
DISTRICT IN KARNATAKA
Sample size Sampling method Research design
120
Purposive
Random Sampling
method
Ex-post facto
research design
Study Area : Koppal districts of Karnataka state
SUNIL KUMAR GOWDA , 2013
Major Livelihood activities undertaken by respondents
Sl.
No
Livelihood
activities
Marginal farmers (n1 =
60)
Landless labourers (n2 =
60)
Frequency Percentage Frequency Percentage
1 Crop production 60 100.00 - -
2 Dairy 20 33.33 5 8.33
3 Sheep/goat rearing 4 6.67 8 13.33
4 Backyard poultry 4 6.67 8 13.33
5 Wage earning 51 85.00 60 100.00
6 Petty business 3 5.00 6 10.00
7 Other (like artisans
activities)
4 6.67 17 28.33
Sl.
No
Livelihood activities
Marginal farmers
(n1 = 60)
Landless
labourers (n2 =
60)
F % F %
1 Crop + dairy 6 10.00 - -
2 Crop + petty business 3 5.00 - -
3 Crop + wage earning 26 43.33 - -
4 Wage earning + dairy - - 5 8.33
5 Wage earning + petty business - - 6 10.00
6 Wage earning + other - - 17 28.33
7 Crop + wage earning + other 4 6.67 - -
8 Crop + sheep/goat rearing + wage earning 4 6.67 - -
9 Crop + dairy + wage earning 14 23.33 - -
10 Crop + backyard poultry + wage earning 3 5.00
11 Wage earning + sheep/goat rearing + backyard
poultry
- - 8 13.33
12 Wage earning - - 24 40.00
Existing livelihood systems of the marginal farmers and landless labourers
CONCLUSION
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SEMINAR PPT LEENANI (2).pptx

  • 1. UNIVERSITY OF AGRICULTURAL SCIENCES , DHARWAD-580005 Master’s seminar I On Agricultural based Livelihood Systems in Dry lands - Challenges and Strategies CHEDARLA MOUNIKA LEENA PGS21AGR8687 DEPARTMENT OF AGRICULTURAL EXTENSION EDUCATION COLLEGE OF AGRICULTURE, DHARWAD Date : 10/03/2023
  • 2. FLOW OF THE SEMINAR NEED TO FOCUS ON DRY LANDS CHALLENGES INTRODUCTION RESEARCH STUDIES STRATEGIES CONCLUSION SUCCESS STORIES
  • 3. INTRODUCTION  Total geographical area of India is 328 mha , 228 mha (69%) of area falls under dryland (UNCCD)  68 per cent of the cultivated area in Indian agriculture comes under dryland, which contributes about 44 per cent of the total food production  More than 75 per cent of Karnataka area is categorized as dry zones  In India, 128 districts have been recognized as dryland farming areas
  • 4. Land Area(M ha) Geographical area 328.73 Net cultivated area 140.71 Net irrigated area 57.10 Gross irrigated area 78.00 Rainfed area 83.61 Land used in India Arid and semi arid regions of India Climate Area (M ha) Regions Arid tropics 31.7 Rajasthan, Gujarat, Punjab, Haryana, Parts of Karnataka, Andhra Pradesh Semi arid tropics 95.7 Maharashtra, Karnataka, AP, TN, Punjab, Haryana, UP,MP Source : Agricultural Statistics at Glance , 2021, MOA
  • 5. Source: CRIDA, 2013 Districts with dryland climate Dryland Districts Arid Semi arid Dry sub-humid N
  • 6. World scenario of drylands Drylands cover 41% The number of people 2 billion Forest 18% Barren land 28% Grass land 25% Source : FAO,2019
  • 7. Arid Hyper arid Semi arid Dry subhumid Source: UNEP-WCMC The world’s drylands
  • 8. What are Drylands??  Drylands are characterized by a scarcity of water, which affects both natural and managed ecosystems and constrains in the production of livestock as well as crops, wood, forage and other plants and affects the delivery of environmental services.  Drylands have been shaped by a combination of low precipitation, droughts and heat waves, as well as human activities. FAO
  • 9. What is Dryland agriculture?? • Dryland Agriculture refers to growing of crops entirely under rainfed conditions Dry Farming: Cultivation of crops in areas where rainfall is less than 750 mm per annum Dry land Farming: Cultivation of crops in areas receiving rainfall above 750 mm Rainfed Farming: Cultivation of crops in regions receiving more than 1,150 mm
  • 10. Concept of Livelihood Systems LIVELIHOOD A livelihood comprises the capabilities, assets (including both material and social resources) and activities required for a means of living (Chambers and Conway, 1992) A livelihood system is the total combination of activities undertaken by a typical household to ensure a living. LIVELIHOOD SYSTEMS  Most rural households have several income earners, who pursue a combination of crop and livestock, farm, off-farm and non-farm activities in different seasons to earn a living
  • 11. Agriculture-based livelihood activities  Agriculture-based livelihood activities occupy a very significant position in the economic development of the Indian economy as agriculture sector has a high employment potential  In agricultural based livelihoods, crop and livestock production are the most important components 1.Crop based Farming Systems 4. Livestock based Farming Systems 2.Farmer centric farming systems 5. Multi-enterprise farming systems 3.Agro-forestry based Farming Systems 6.Watershed based farming systems Rashmi et al, 2018
  • 12. o The agro-ecosystems in dry areas comprise a diverse and complex mix o The dry areas are home to several important centres of origin o Agricultural production systems in the drylands face not only persistent water scarcity and frequent drought o But also high climatic variability, land degradation, desertification and widespread poverty o At one end are livelihoods systems with a low asset base o At the other end are livelihoods systems with an asset base sufficient. WHY NEED TO FOCUS ON DRYLANDS
  • 13.
  • 14. Land degradation and poor productivity Climate risks Poor productivity of livestock Yield Variability Resource poor farmers and inadequate credit availability Poor market linkages No reliable data for rainfed in central database systems NRAA, 2022
  • 15. LAND DEGRADATION AND POOR PRODUCTIVITY • As a result, the natural resource base in rainfed areas has got severely compromised and has led to soil erosion and loss in soil fertility. The intensive approach to agricultural production system has not focused adequately on conservation of natural resources  Land degradation will be impacting agricultural productivity, biodiversity loss, environmental change, and its effects on food security
  • 16.  97.85 mha of India’s total geographical area (TGA) of 328.72 mha underwent land degradation  Around 23.79% of the area undergoing desertification / land degradation with respect to TGA of the country was contributed by Rajasthan, Maharashtra, Gujarat, Karnataka, Ladakh, Jharkhand, Odisha, Madhya Pradesh and Telangana  Average annual rate of soil erosion in the country is 16.35 tonnes per hectare  Other causes of soil degradation include rapid depletion of soil organic matter Source : (NBSS&LUP,2019)
  • 17. Sl.No. State Total area under desertification(2011 -13) hectares Total area under desertification(2018-19) hectares 1 Andhra Pradesh 22,98,758 23,78,042 2 Chhattisgarh 22,11,153 23,06,531 3 Gujarat 1,02,61,641 1,02,48,057 4 Himachal Pradesh 23,94,240 24,00,300 5 Karnataka 69,51,000 69,59,847 6 Maharashtra 1,38,25,935 1,43,06,029 7 Rajasthan 2,15,26,512 2,12,37,665 8 TamilNadu 15,43,898 15,99,981 9 Telangana 35,98,856 36,38,508 Area under desertification Source: data.gov.in
  • 18. CLIMATE RISKS • Climate change and climate variability impact Indian agriculture • Rainfed areas experience 3 to 4 drought years per decade • The rainfall distribution is becoming more skewed with a smaller number of rainy days and higher intensity of rainfall causing more soil erosion
  • 19. Average flood affected agricultural areas between 2000 to 2018 in India Source: IWMI
  • 21. POOR PRODUCTIVITY OF LIVESTOCK  Animal husbandry is an integral component of rainfed farming systems and, is a significant revenue stream for farmers  Possession of livestock - both large and small ruminants, serves as a source of liquidity for rural farming communities.  Livestock contribute 4.35% of the GDP& 29.35% of the full agricultural GDP
  • 22. The low productivity of livestock in dry lands due to water scarcity and shrinking of common grazing resources The shortage in fodder availability is a major reason of Indian livestock’s milk productivity It is lower by 20-60 per cent compared to the global average.(IGFRI,2019) The policies on livestock focus only on improvement of cows and buffaloes, while other livestock are unnoticed
  • 23. YIELD VARIABILITY • In several rainfed areas, large yield gaps still remain in several crops and regions between yields obtained at research stations and on farmers’ fields • Crop yields vary for different crops and regions in rainfed and irrigated regions, though broadly the productivity of rainfed areas is around 1.1 tonnes/hectare, as against an average of 3 tonnes/ hectare in irrigated areas
  • 24. Resource poor farmers and inadequate credit availability  Marginal and small farmers are dependent mostly on informal sources of credit  Credit that is met from informal sources is 40.60 per cent, 52.10 per cent, and 30.80 per cent, for the landless, marginal farmers, and small farmers  This shows a lack of access to credit facilities and formal financial mechanisms
  • 25. No reliable data for rainfed in central database systems  Standardized agronomic, soil, water, market-related, and socioeconomic datasets for agriculture are essential for real-time decision making and sustainability  Despite the substantive scale of rainfed agriculture that exists in terms of cultivation area and the farmer population, huge gaps persist in data availability and data quality  In addition, existing datasets also lack standardization as it prevents inter operability and decision-making
  • 26. Poor market linkages  Market risk lead to unstable incomes  Further, farmers often sell their produce at low prices due to unreliable market channels and unregulated markets  Inadequate post-harvest handling and storage facilities which prevent farmers from stocking up and selling at the right time and accessing other markets
  • 27. STRATEGIES FOR AGRICULTURAL BASED LIVELIHOOD SYSTEMS IN DRYLANDS
  • 28. Release new climate-resilient varieties suited for rainfed regions Promoting integrated farming systems (IFS)/integrated livelihood system (ILS) Promoting efficient natural resource management in rainfed agriculture Minimizing soil degradation and restoring Encourage allied agricultural activities S T R A T E G I E S
  • 29. Encourage allied agricultural activities  Enhancing income through animal husbandry  Enhancing income through horticulture
  • 30. Release new climate-resilient varieties  Release of cultivars with high resilience and yield potential is essential, especially for smallholders through decentralized seed system  A suitable delivery mechanism  Community seed banks (CSBs)  This will aid in adaptive capacity against the contingencies of climate risks, such as repeat sowing in case of crop failure  Conserving and mainstreaming the local crop varieties
  • 31. Promoting Integrated Farming Systems (IFS)/ Integrated Livelihood System (ILS) IFS Integration of two or more enterprises Horti-Millet based cropping systems Kitchen gardens Integration of high tock , fishery, poultry activities Adoption of secondary agriculture
  • 32.  Excavation of ponds in 65% area for aquaculture and raising embankments on the remaining 35% land for horticulture can replace traditional low productive rice-fish culture with 3-5 times enhanced production, income and employment generation from a unit of land.
  • 33. Promoting efficient natural resource management in rainfed agriculture Farm ponds Jalkund Check dams Land shaping In-situ incorporation of biomass and crop residues Precision water management practices
  • 34. Minimizing soil degradation and restoring  Adoption of suitable soil conservation measures  Soil rehabilitation and soil restoration should also be a priority  Improving water and nutrient use efficiencies by decreasing losses and increasing biomass production  Farming practices, agroforestry, ley farming utilising organic manures are ways to increase SOC
  • 35. Integration of on-farm and non-farm activities Diversification into value added chain of Aqua-culture, Agro-forestry, and Horticulture
  • 36.  Creation of non-farm jobs involving micro- enterprising due to low primary productivity and seasonal nature of the agricultural activities in the dryland
  • 37. 5.20% 5.60% 7.40% 7.50% 9.90% 7% FY 2013 FY 2014 FY 2015 FY2016* FY 2017 ** FY2018*** Growth rate of gross value added from livestock in agriculture across India from financial year 2013 to 2018 Growth of livestock Livestock rearing and dairying has 4-5 times more employment generating potential compared to crop cultivation
  • 38. S W O C 1. Generation of value-added products 2. Has high biodiversity 3. The willingness of farmers is very high in improving the productivity of dryland 4. Has average rainfall from low to high 5. Has topography from flat to steep 1. Low dryland productivity 2. Low farmer income 4. Weak managerial capabilities of farm technical and appropriate technology at the farmer level 5. Limited facilities and infrastructure supporting dryland development 6. Ineffective marketing information 1. The research institutions of ministries and universities that concentrate in the development of agricultural technologies and resources. 2. Increasing needs or public demand for agricultural commodities 3. The amount of interest of investors in agribusiness 4. Wider market share of agricultural products 1. Lack of opportunities in non-farm sector 2.Environmental degradation due to erosion 3.Lack of collateral and access to credit facilities 4.Lack of adequate and quality breeds of livestock and improved varieties of crops. 5.Inadequate fodder availability low productive livestock
  • 40. Profitable Mushroom cultivation Name of the farmer : Thiru.P.Ramalinga Block : Kariapatti District : Virudhunagar State : Tamil Nadu Year : 2017-2018 Brief about the farmer: Virudhunagar district is one of the backward districts in Tamil Nadu. It is a dry land region. Agriculture is the livelihood of people living therein. Crops are mostly grown under rainfed conditions. The unpredictable nature of seasonal variations in farm income has been pushing farmers into non-farm activities During the year 2014, he attended one day paid training at Regional Research Station, TNAU, Aruppukottai, Virudhunagar district. He started to cultivate milky mushroom during 2016. He switched over from milky mushroom to oyster mushroom cultivation during 2017 Finally, he approached Dr.K.Manonmani, SMS (Plant Pathology), for technical advisories. With the intervention of KVK Virudhunagar, he has been now cultivating oyster mushroom cultivation in a profitable way
  • 41. The introduction of new technical package for oyster mushroom cultivation has enhanced production of oyster mushroom with an increase in cost of cultivation. But the yield of oyster mushroom has tripled Mr.P.Ramalingam has been harvesting, on an average, 15kg/day of oyster mushroom. The monthly net profit earned from oyster mushroom cultivation is around Rs.40000/-. Crop Cost of cultivation(Rs.) Yield (Kg) (2017) (2018) (2017) (2018) Mushroom 91,250 2,19,000 1,825 5,475
  • 42. A SUCCESSFUL BETEL VINE CULTIVATOR Name : Smt. Ashma M. Hombal, Village : Chalachgudda, Block : Badami, District : Bagalkot, State : Karnataka Year : 2022 TRAINING MOTIVATION: She was attracted to agriculture, after seeing the other members from her family practicing agriculture for livelihood and sustenance and then decided to be with them Her family was cultivating betelvine since ages  Asma added banana and coconut to the farm diversity after studying the local market. She is in continuous touch with ICAR-Krishi Vigyan Kendra, Bagalkot and Horticulture Department officials for getting guidance from time to time.
  • 43.  She is cultivating betelvine in 3 acres of land earning profit of 36,000 per month  Besides betelvine, the other major crop is banana. Two acres of banana cultivation fetches a profit of Rs 50,000  In one acre of land she grows cowpea earning around Rs. 15,000 profit per season. This also provides biomass to soil and fodder to animals  She has 200 coconut plants along the bunds earning a profit of Rs 50,000/month . Milea dubia, drumstick, neem trees along the bunds are the long-term investments for future income  Livestock unit with five buffalo, one cow of Holstein Friesian breed , three goats and a flock of 10 birds ensures manure requirement, meets family nutrition and regular income  She is earning around Rs 30,000 per month from livestock unit ACHIEVEMENTS
  • 45. COMPARATIVE ANALYSIS OF LIVELIHOOD SECURITY OF THE FARMERS PRACTICING DIFFERENT FARMING SYSTEMS IN MANDYA DISTRICT OF KARNATAKA Sample size Sampling method Research design 120 Purposive Random Sampling method Ex-post facto research design Study Area : Mandya district of Karnataka Shwetha et.al, 2021
  • 46. Comparison between livelihood security of the farmers practicing different farming systems in Mandya district Sl. No Farming system N Mean score Chi-square value 1 Paddy+Dairy n1=30 73.66 24.40** 2 Paddy+Dairy+Horticulture n2=30 134.26 3 Sugarcane+Dairy n3=30 86.53 4 Sugarcane+Dairy+Horticulture n4=30 155.43 Dimension wise level of livelihood security of the farmers practicing different farming systems in Mandya district Sl. No Dimensions Scores Percentage of scores Rank A Paddy + dairy farming system (n1=30) 1 Food and nutritional security 92 61.33 II 2 Economic security 85 56.00 V 3 Ecological security 91 60.66 III 4 Social security 95 63.33 I 5 Psychological security 88 58.66 IV 6 Physical security 84 56.00 VI
  • 47. Sl. No Dimensions Scores Percentage of scores Rank B Paddy +dairy+horticulture farming system (n2=30) 1 Food and nutritional security 103 68.66 II 2 Economic security 101 67.33 III 3 Ecological security 105 70.00 I 4 Social security 99 66.00 IV 5 Psychological security 96 64.00 V 6 Physical security 88 58.66 VI C Sugarcane +Dairy farming system (n3=30) 1 Food and nutritional security 92 61.33 VI 2 Economic security 101 67.33 III 3 Ecological security 110 73.33 I 4 Social security 105 70.00 II 5 Psychological security 98 65.33 IV 6 Physical security 95 63.33 V
  • 48. Sl. No Dimensions Scores Percentage of scores Rank D Sugarcane+Dairy farming system (n4=30) 1 Food and nutritional security 105 70.00 III 2 Economic security 112 74.66 II 3 Ecological security 98 65.33 IV 4 Social security 115 76.66 I 5 Psychological security 95 63.33 V 6 Physical security 92 61.33 VI
  • 49. PERCEPTIONS AND ADAPTATION STRATEGIES TO CHANGING CLIMATE: EVIDENCE FROM FARMERS OF NORTHERN DRY ZONE OF KARNATAKA Sample size Sampling method Research design 240 Multi-stage Random sampling method Ex-post facto research design Study Area : Vijayapura and Bagalkot district in Karnataka Ravi et.al, 2021
  • 50. Sl. No Adaptation strategies Vijayapura district Bagalkot district Mean Garrett Score Rank Mean Garrett Score Rank 1 Crop diversification 95.45 I 66.69 IV 2 Inter/ mixed cropping 77.42 II 86.56 I 3 Use of drought and heat resistant varieties 60.91 V 65.69 VII 4 Change in planting date 57.70 VI 73.15 III 5 Short duration and early maturing varieties 56.02 VII 66.34 V 6 Off-farm employment 70.35 III 66.20 VI 7 Crop insurance policies 49.33 IX 63.12 VIII 8 Sale of farm assets and livestock 38.67 XII 50.00 XII 9 Water conservation through farm pond and bunding 64.09 IV 79.50 II 10 Migration to urban areas 55.24 VIII 57.20 X 11 Borrowing from relatives and money lenders 47.58 X 59.36 IX 12 Government relief measures 45.36 XI 52.50 XI Farmers adaptation strategies to changing climatic condition
  • 51. Sl.No Constraints experienced Mean Garrett Score Rank 1 Non-availability of timely weather forecasted information 72.80 II 2 Lack of credit facility for farmers 38.52 XI 3 Lack of knowledge about need based improved agriculture technologies 47.55 IX 4 Lack of market access (poor transportation networks and market information system) 43.15 X 5 Lack of information about crop insurance service 54.80 VII 6 Non-availability of timely farm inputs 65.44 III 7 Limited access to agricultural extension services 59.21 V 8 Low/no subsidies on desired agricultural inputs 36.05 XII 9 Lack of belief on current weather forecast system 51.27 VIII 10 Irregularity in power supply 55.65 VI 11 Lack of knowledge and information about climate change adaptation strategies 78.09 I 12 Lack of knowledge and information about climate change adaptation strategies 62.25 IV Constraints experienced by the farmers in adaptation to changing climate (n=240)
  • 52. A STUDY ON ATTITUDE OF FARMERS TOWARDS LIVELIHOOD DIVERSIFICATION IN KOLAR DISTRICT OF KARNATAKA Sample size Sampling method Research design 150 Purposive Random Sampling method Ex-post facto research design Study Area : Kolar districts of Karnataka state B. S. Lakshman reddy (2019)
  • 53. Nature of livelihood diversification among farmers Sl. No Type of livelihood diversification Marginal farmers (n1=50) Small farmers (n2=50) Big farmers (n3=50) Total f % f % f % f % A Farm activities 1 Agriculture 48 96.00 50 100.00 50 100.00 148 98.66 2 Horticulture 15 30.00 36 72.00 45 90.00 96 64.00 3 Sericulture 8 16.00 15 30.00 18 36.00 41 27.33 4 Animal husbandry 34 68.00 47 94.00 43 86.00 124 82.66 5 Poultry 12 24.00 17 34.0 0 21 42.00 50 33.33 B Non-farm activities 1 Agriculture labour 41 82.00 37 74.00 0 0.0 78 52.00 2 Formally employed 16 32.00 19 38.00 37 74.00 72 48.00
  • 54. 3 Service 13 26.0 12 24.0 15 30.0 40 26.66 4 Wage labour 23 46.0 11 22.0 0 0.0 34 22.66 5 Transportation 4 8.0 9 18.0 21 42.0 34 22.66 6 Trade 4 8.0 7 14.0 20 40.0 31 20.66 7 Sand mining and quarrying 4 8.0 9 18.0 13 26.0 26 17.33 8 Manufacturing 5 10.0 6 12.0 14 28.0 25 16.66 9 Driver 7 14.0 3 6.0 0 0.0 10 6.66 10 Construction 4 8.0 3 6.0 2 4.0 9 6.00 11 Handicraft & Artisan 3 6.0 1 2.0 2 4.0 6 4.00 12 Commission agent (broker) 0 0.0 1 2.0 1 2.0 2 1.33 13 Marketing of vegetable and fruits 0 0.0 0 0.0 1 2.0 1 0.66
  • 55. Constraints in livelihood diversification as perceived by the farmers Sl. No Constraints Marginal farmers (n1=50) Small farmers (n2=50) Big farmers (n3=50) Total (n=150) f % f % f % f % A INFRASTRUCTURAL CONSTRAINTS 1 Lack of water resources 50 100.00 50 100.00 50 100.00 150 100.00 2 Lack of marketing facilities for the products 33 66.00 49 98.00 46 92.00 128 85.33 3 Lack of sufficient extension workers 39 78.00 41 82.00 42 84.00 122 81.33 4 Inadequate financial institution in the locality 48 96.00 46 92.00 27 54.00 121 80.67 B PROMOTIONAL CONSTRAINTS 1 Insufficient government incentives 42 84.00 46 92.00 39 78.00 127 84.67 2 Government programme not suitable to the needs of the farmers 47 94.00 38 76.00 37 74.00 122 81.00 3 Lack of own capital 50 100.00 46 92.00 32 64.00 128 85.33
  • 56. Sl. No Constraints Marginal farmers (n1=50) Small farmers (n2=50) Big farmers (n3=50) Total (n=150) f % f % f % f % C SOCIAL-ECONOMIC CONSTRAINTS 1 Inadequate or no experience on new occupation 46 92.00 48 96.00 39 78.00 133 88.67 2 Inadequate information and knowledge about diversification 46 92.00 48 96.00 39 78.00 133 88.67 3 Lack of own capital 50 100.00 46 92.00 32 64.00 128 85.33 D OTHER CONSTRAINTS 1 Climatic change 50 100.00 50 100.00 50 100.00 50 100.00 2 Lack of adequate natural resources for livelihood diversification 50 100.00 50 100.00 44 88.00 144 96.00 3 Risk and uncertainty 18 36.00 43 86.00 38 76.00 99 66.00 4 Less production and productivity 4 8.00 46 92.00 22 44.00 74 49.33
  • 57. FACTORS LIMITING RURAL YOUTH PARTICIPATION IN AGRICULTURE BASED LIVELIHOOD ACTIVITIES IN TEHSIL KARSOG OF HIMACHAL PRADESH Sample size 240 OBJECTIVE OF THE STUDY  To identify pre-dominant agriculture-based livelihood activities rural youth participate in.  To analyze the factors limiting youth participation in agriculture-based livelihood activities in the study area Rashmi Choudary et.al,(2018)
  • 58. RESULTS Predominant Agricultural Based Activities Youth Participate in the Study Area Agricultural Activities Involved Not Involved Ranking Bee keeping 74 (29.60) 176 (70.40) 3 Fishing 25 (10.00) 225 (90.00) 9 Crop farming 109 (43.60) 141 (56.40) 1 Trading agricultural inputs 65 (26.00) 185 (74.00) 5 Farm labor services 67 (26.80) 183(73.20) 4 Livestock Rearing 86 (34.40) 164 (65.60) 2 Transportation of agricultural products 53 (21.20) 197 (78.80) 6 Processing of agricultural products 37 (14.80) 213 (85.20) 8 Farm implements hiring services 49 (19.60) 201 (80.40) 7
  • 59. Respondents’ Perceptions of Factors Limiting Youth Participation in Agriculture-Based Livelihood Activities Statements Mean Standard deviation High input cost 4.20 0.756 Unfavourable agricultural policies 3.54 0.788 Monkey menace and stray animals 3.92 0.877 Small land holdings 3.68 1.151 Labor unavailability 2.70 1.199 Poor return on investment 4.44 0.760 Poor marketing structure 3.72 0.882 Poor access to basic information pertaining to agriculture based livelihood activities 3.10 1.035 Poor agricultural credit facilities 3.08 1.291 No future in agriculture 3.32 0.844 Highly risky 3.42 1.230 Inadequate infrastructural facilities to support farming activities 3.50 0.839 Unpredictable prices of agricultural produce 4.22 0.764
  • 60. ANALYSIS OF EXISTING LIVELIHOOD SYSTEMS OF RESPONDENTS IN RAINFED ECOSYSTEM OF KOPPAL DISTRICT IN KARNATAKA Sample size Sampling method Research design 120 Purposive Random Sampling method Ex-post facto research design Study Area : Koppal districts of Karnataka state SUNIL KUMAR GOWDA , 2013
  • 61. Major Livelihood activities undertaken by respondents Sl. No Livelihood activities Marginal farmers (n1 = 60) Landless labourers (n2 = 60) Frequency Percentage Frequency Percentage 1 Crop production 60 100.00 - - 2 Dairy 20 33.33 5 8.33 3 Sheep/goat rearing 4 6.67 8 13.33 4 Backyard poultry 4 6.67 8 13.33 5 Wage earning 51 85.00 60 100.00 6 Petty business 3 5.00 6 10.00 7 Other (like artisans activities) 4 6.67 17 28.33
  • 62. Sl. No Livelihood activities Marginal farmers (n1 = 60) Landless labourers (n2 = 60) F % F % 1 Crop + dairy 6 10.00 - - 2 Crop + petty business 3 5.00 - - 3 Crop + wage earning 26 43.33 - - 4 Wage earning + dairy - - 5 8.33 5 Wage earning + petty business - - 6 10.00 6 Wage earning + other - - 17 28.33 7 Crop + wage earning + other 4 6.67 - - 8 Crop + sheep/goat rearing + wage earning 4 6.67 - - 9 Crop + dairy + wage earning 14 23.33 - - 10 Crop + backyard poultry + wage earning 3 5.00 11 Wage earning + sheep/goat rearing + backyard poultry - - 8 13.33 12 Wage earning - - 24 40.00 Existing livelihood systems of the marginal farmers and landless labourers