11-14 February 2019. Jodhpur, India. The 13th International Conference on Dryland Development, with the theme "Converting Dryland Areas from Grey into Green", is organized by IDDC (International Dryland Development Commission) and the Arid Zone Research Association of India (AZRAI) and hosted by the ICAR-Central Arid Zone Research Institute (CAZRI).
11 February 2019. Presentation by: A. Abousabaa, C. Biradar, S. Kumar, V. Nangia, A. Sarker and J. Wery
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Innovations built on traditional knowledge and modern technology for sustainable dryland agriculture
1. International Center for Agricultural Research in the Dry Areas
icarda.org cgiar.org
A CGIAR Research Center
Innovations built on traditional knowledge and modern
technology for sustainable dryland agriculture
A. Abousabaa, C. Biradar, S. Kumar, V. Nangia, A. Sarker and J. Wery
11 February 2019
2. icarda.org 2
1. Overview
BY 2050 –
Population expected
to increase from 0.9
billion to 1.4 billion
people in CWANA
Young people constitute
20% of total population
in CWANA, and this
number will grow by at
least 7million by 2021
Increase in
population will cause
increased
pressure under
water, food and other
resources
Rainfall is expected
to decline
throughout North
Africa and West Asia
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• Adverse effects of climate
change are more pronounced in
the drylands
• Leads to vulnerable,
unsustainable and
unpredictable farming
• Variability and evolution of
climate, diet and demography
caused by changing edapho-
climatic factors
Climate change and increasing needs
30%
50%
70%
Food
Energy
Water
2019 2050
9BILLION
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India’s share of global
resources:
• Water: 4%
• Arable land: 2.5%
• Population: 17%
Food and water scarcity
Two key drivers: growing population and growing wealth
Uncertainty is the result of climate change
500
1000
1500
2000
2001 2010 2025 2050
Waterpercapitalitres/day
Year
Population (million) Water per capita m3/year
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2. Traditional knowledge-based agriculture
• Crop production
• Water conservation
• Soil health management
• Animal feeding
• Grain storage
• Value addition of plant and
animal products in
combination
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Nature-based farming
• Natural crossing and selection
of crops and varieties adapted
to local soil, climatic (drought,
heat, flood, storms), socio-
economic conditions and diet
patterns
• Focus on soil and biodiversity
based farming
Pre-modern agriculture
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Modernization of agriculture and
the green revolution
• Low productivity per unit of land
labor of traditional agriculture
• Limited number of crops and
varieties
• Field mechanization
• Use of synthetic input: fertilizers
- herbicides - pesticides)
• Water for irrigation versus
traditional
The need for modern agriculture
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Locality
• Using natural inputs (soil and
ecosystems, and natural
processes) to replace
synthetic inputs
• Solutions are site-specific and
ensure proper matching
Limits of traditional knowledge
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Partiality
• Information on farmer
practices is largely on
productivity and not on
environmental impacts
• Data about environmental
impacts (eg soil carbon) and
at scale (eg greenhouse gas
emissions) increasingly
important
Limits of traditional knowledge
Quantities of inputs used
Diversityofproductionandconsumption
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Temporality
• Trial and errors of farming
based on short-term impact on
food production
• More significant impact could
take longer to materialize
• Eg conservation agriculture
may reduce yield the first
years of implementation but
increase over longer period
Limits of traditional knowledge
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The limits of traditional knowledge are taken into
account by ICARDA and its partners. The approach can
be described along the four outcomes of our R4D
projects:
1. Improving technologies and crops
2. Capacity development of farmers
3. Systemic Design and Management of agro-ecosystems
4. Digital augmentation for precision decisions
3. The role of ICARDA and its R4D
partners
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Cactus
• Small holder farmers in
semi-arid
environments have
limited resources to
improve supply of
animal feeds
• Cactus pear (Opuntia
ficus-indica) is an ideal
candidate that can
grow in degraded land
with minimum inputs.
From old to new crops
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3.2 Smart farming requires a paradigm
shift
1. Diversity for resilience (rotations/intercropping; mix
farming…)
2. Nature-based solutions, technology and circularity for
ecosystems services (including water productivity and
trade-off management)
3. Smart knowledge (big-data, models, ICT) for adaptation to
• Variability (rainfall, soils, farms…)
• Changes (climate, markets, demography…)
• Capacity development of farmers
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Applications in this domain
are rapidly expanding,
allowing farmers and
advisors to access
knowledge on crops and
varieties, pests and disease,
input, markets and climate
using their smartphone
Smartphone app for technology
targeting and decision-making
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Sustainability is achieved through
proper combinations of
appropriate technologies – not
single technologies on their own
1. Water harvesting
2. Feed resources
3. Livestock management
4. Marab agriculture
5. Collective land governance
3.3 Systemic Design and Management of
agro-ecosystems
1 2
3
5
4
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3.4 Multi-scale knowledge of farming
system dynamics and climate variability
3 billion ha
International Agencies
3 million ha
Governments
300 k ha
Agro-Food industry
30 k ha
Advisors
1.3 ha
Farmers
• Information available
at different scale for
different stakeholders
• High-tech to provide
indicators … and field
data for credibility
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Example: Lentil intensification fallows
in India
Crop variety specific target areas
March December
• Inclusion of
lentil Improves
rice productivity
• Economize on N
use up to 40 kg
N/ha
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Participatory
approach
CRPs
CGIAR
Centers
Public Sector
NARS, ARIS,
Univ.
Private sector
Knowledge management
Data, RS, GIS layers, CC Scenarios
Framework and models for integrated modelling and
assessment of agrifood systems in the drylands
Multi-
criteria
assessment
Research
projects
Informing strategic
thinking
investment in R4D
Stakholder
capacity
building
Interface for the Drylands
4. Conclusion – the way forward
• Traditional knowledge to support innovations
• Sustainability and scaling with modern technologies
• Multi-scale and multicriteria scenario analysis to
support research and development investments in the
drylands
Main point: as climate change effects are felt more strongly throughout the dry arc region, there is an expectation that there will be a reduction in food, water, and other resources per capita in the region. This will have far-reaching effects of the sustainability of the current food systems in the region
Notes for this slide:
Numbers come from the “Dry Arc Big Numbers” document provided by Jacques
Explanation of map:
- Colours represent the amount of current rainfall in the global dry areas
Introduction
Climate change is a reality and its adverse effects are more pronounced in drylands, leading to vulnerable, unsustainable and unpredictable farming due to a range of changed edapho-climatic factors arising from variability and evolution of climate, diet and demography. Drylands, delineated into rainfed, irrigated, agro-pastoral and desert farming, cover more than one third of planet’s land and are home to more than one-third of the population. Without access to information and technology, farming in these lands can greatly suffer during dry seasons and face catastrophic losses during periodic droughts. Over the decades and centuries, the farming techniques have changed from traditional, where most of farm operations used to be done manually, to modern farming more productive in term of land and labour but more dependent on industrial and financial inputs. However, by 2050, we expect a population of 9 billion that will cause a "perfect storm" of food, energy and water shortages as demand for fresh water, food and energy will climb by 30%, 70% and 100%, respectively. Therefore, a paradigm shift is needed to produce more nutritious food from less land, water, and inputs without further pressure on the declining natural resources. ICARDA and its national and international partners aim to develop this new paradigm for the drylands with a smart combination of traditional knowledge and new technologies, using multicriteria and multiscale systems methodologies to build resilient and sustainable agroecosystems.
In Africa and Asia a lot of ancestral techniques and land races of dryland crops are still in use for crop production, water conservation, soil health management, animal feeding, grain storing and value addition of plant and animal products.
Example: farmers have a long history of experience on water harvesting, retention and use for feed and food production. This includes prevention of soil erosion on flat farms mounding the land into long furrows and traps water around the plants; furrows of bunds along contour lines or terraces to limit soil erosion and allow rainwater to infiltrate into the soil and terraces; soil cover with organic mulch to prevent evaporation; land fallowing to store moisture in the soil for the following crop. These all emanate from farmers’ experience, which transmitted from generation after generation.
Farmers in this era restored soil fertility through periodic addition of natural materials such as household wastes, composts and manures, and adopting practices such as crop rotation especially with N-fixing legumes and mixed cropping. Farmers replanted their own seeds and exchanged their seeds and animal breeds with others, thereby spreading new technologies far and wide while coincidentally preserving biodiversity in farmlands. Almost unaware of the scientific breakthroughs, debates and discussion over climate change and its impact on dryland production systems, the traditional agrarian practices of indigenous communities in Asia and Africa have evolved but integrated some resilience based on crop/livestock diversity and soil fertility. Along with low-cost technologies those traditional farmers grow variety of crops ranging from rice, millets, legumes, sorghum, leafy and other vegetables, medicinal plants, tubers throughout the year, thus ensuring their food and nutritional requirements. In many farming communities, as many as 80 different crops are grown for household needs. Farmers also practice mixed-cropping and inter-cropping to be resilient against total crop loss due to climatic variability, pests and diseases. For example intercropping and agroforestry are contributing to the conservation of prey-predators as a means of biological control (birds, spiders, flies) instead to using insecticides. Today some farmers of South Asia (most particularly indigenous and hilly areas) are going back to farming as they used to do before high-yielding crop varieties, hybrid seeds, synthetic fertilizers and pesticides.
Modernisation of agriculture during the green revolution took a different pathway and focused on a limited number of crops and varieties, field mechanization and the use of synthetic input (fertilisers, herbicides and pesticides) as well as water for irrigation. These cropping systems are now seriously contested in a One Health approach of nature and human health. However, this paradigm shift was also essential to increase total factor productivity in order to meet the rapidly increasing food demand and the globalisation of markets for most staple crops. This trend is likely to accelerate in the future and any new paradigm for ecological intensification of agriculture should keep it as a baseline component.
Locality: replacing synthetic input by soil and ecosystems natural processes makes any solution site-specific for a proper matching, for example of the nutrient crop requirements and soil organic matter mineralization, both processes being highly sensitive to climate (rainfall, temperature). Replacing “knowledge embedded” technologies like mineral fertilizers by ecosystem-based production of nutrients makes farming a more “knowledge intensive” and “site-specific” business. This is one of the today challenge for researchers, advisors, farmers, and policy makers. Capacity Development of stakeholders becomes key in this context.
Partiality: the use of traditional knowledge for the design of modern sustainable farming systems is facing a serious discrepancy between the data availability (mostly on production) and the need for multicriteria (biodiversity, water, energy, product quality and safety….) and multi-scale analysis (farm, supply chain, landscape…) required to design the agriculture of tomorrow. Similarly gender and youth consideration has not necessarily been taken into account in the traditional farming systems but cannot be ignored today.
NOTES FOR SPIDER GRAPH: shows that the conventional system-cereals and legumes-extensive farming systems (eg traditional) requires high inputs although yields lower productivity and consumption – this is indicative that consumers are the producers
Temporality: agro-ecological practices have been developed by farmers over long periods with a trial-error approach which can impair innovation in face of an uncertain climate and with the high risk aversion of smallholder farmers. In face of global changes (climate, economy) this approach has to be re-visited in order to address the design of farming systems on a short term (few years) and taking into account potential risks and impacts.
NOTES?
Example: Cactus pear (Oopuntia ficus-indica) can grow in degraded land with minimum inputs. Yield improvement must be done in a multicriteria analysis and combine with biophysical and economic water and fertilizers productivity in face of soil and climate variability. Can be done with crop models, calibrated and then applied for simulating scenarios of nitrogen and irrigation application using long term weather datasets.
Examples from ICARDA:
This is why ICARDA is also conducting a “system-based research” where the innovation is grounded in the smart management of interactions (Genotype x Environment x Management) between the components (soil, crops, livestock, trees, water) of the farming systems in specific agro-ecologies and socio-economic contexts.
For example, the integration of improved varieties of pulses in the existing crop-livestock systems can drive more efficiency, productivity and resilience in drylands of India, provided they are also properly integrated into added-value chain in the food system.
smallholder farmers in south Asia can increase the intensity and diversity of rice-fallow systems with specific varieties adapted to soil type, texture and residual moisture.
Improving sustainability and resilience of farming systems
Farming systems cannot rely on single technologies (eg “component research”) and their application in a wide range of agro-ecologies. ICARDA is also conducting “system-based research”.
Examples from ICARDA:
This is why ICARDA is also conducting a “system-based research” where the innovation is grounded in the smart management of interactions (Genotype x Environment x Management) between the components (soil, crops, livestock, trees, water) of the farming systems in specific agro-ecologies and socio-economic contexts.
For example, the integration of improved varieties of pulses in the existing crop-livestock systems can drive more efficiency, productivity and resilience in drylands of India, provided they are also properly integrated into added-value chain in the food system.
smallholder farmers in south Asia can increase the intensity and diversity of rice-fallow systems with specific varieties adapted to soil type, texture and residual moisture.
Multi-scale knowledge on climate variability (spatial and temporal) and crop responses (yield, water, soil carbon, pests-diseases)
4.4 Digitization of agroecosystems
Geotagging, agro-tagging, farm-typology and other types of digitization has become the most essential entry point for any sustainable developmental entities whether it is breeding site specific varieties, crop diversification and intensification
Ongoing efforts in big-data driven digital augmentation aim at quantifying functional production dynamics and drivers to target site-specific sustainable developmental interventions and scaling the ecological intensification such as intensification of pulses in rice fallows, adoption of conservation agriculture, bridging the yield gaps, geo-localization of the research and impact reporting (www.icarda.org).
NOTES: satellite remote sensing images quantify the crop fallows’ dynamic targeting intensification of pulses and oil seeds. This can also support rice varieties accommodating 2 or 3 crops in the sam fallow areas. This can support the decision-making behind where to include lentil during fallow season of rice sowing.
NOTES: ICARDA’s BigData and ICT-based GeoAgro based services can be used in research, policy, and other decision-making and service provision. Accessibility to many countries.
ICARDA and its national and international partners aim to develop this new paradigm for the drylands with a smart combination of traditional knowledge and new technologies, using multi-criteria and multiscale systems methodologies to build resilient and sustainable agroecosystems.
It is a fact that traditional knowledge and its application in dryland farming can have a great contribution to todays’ agriculture for resilience in the context of climate change and other socio-economic considerations. Many of them are still being nurtured by farming communities. However, the use of scientific breakthroughs and innovative agro-technologies (machineries, geo-informatics, biotechnology, nano-technology, methodologies and new knowledge, etc.) is needed to meet food, feed and fiber requirements of a growing population under climate change. This synergy among traditional practices and modern innovative technologies is one of the key pillar of ICARDA Research for Development strategy.