Animal breeding for reduced poverty and improved food security in developing countries
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Science
Presented by Karen Marshall at the John Vercoe Memorial Lecture on the Association for Animal Breeding and Genetics (AAABG) Conference, Australia, 28-30 September 2015
Animal breeding for reduced poverty and improved food security in developing countries
Animal breeding for reduced poverty and improved food security in
developing countries
Karen Marshall
John Vercoe Memorial Lecture, AAABG, Australia, 28-30 September 2015
ILRI’s mission
ILRI’s mission is to improve food and
nutritional security and to reduce
poverty in developing countries
through research for efficient, safe
and sustainable use of livestock—
ensuring better lives through
livestock
ILRI is part of the CGIAR consortium
(15 centres)
ILRI: Established 1994, currently 700+ staff
Two main campuses (Kenya, Ethiopia), 16 additional offices
“John nurtured the formation of ILRI and shaped the
international livestock research agenda.
He provided exemplary leadership while serving on ILRI’s
Board of Trustees for six years, five of them as Chair”
The global livestock sector
Asset value $1.4 trillion; employs >1.3 billion people
Livestock contribute an average of 40 % of the agricultural GDP
Sector accounts for
30% of the land surface
70% of agricultural land
8% of human water use
The 4 billion people who live on less than US$10 a day
(primarily in developing countries)
represent a food market of about $2.9 trillion per year.
4 of 5 highest valueglobal commodities are livestock
FAOSTAT 2014
(values for 2012)
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0
20
40
60
80
100
120
140
160
180
200
Production(MT)millions
Netproductionvalue(Int$)billion
net production value (Int $) billion production (MT)
Cow milk has
overtaken rice
Eggs have
displaced
maize
Animal source foods: 4 of 5 highest value
global commodities
Significant increases over 2005/7 amounts
of cereals, dairy and meat will be needed by 2050
From 2bn to 3bn
tonnes cereals each year
From 664m to 1bn
tonnes dairy each year
From 258m to 460m
tonnes meat each year
Most of this increase in demand is within developing countries
Gains in meat consumption in developing
countries are outpacing those of developed
0
100
200
300
400
500
600
700
800
1980 1990 2002 2015 2030 2050
Millionmetrictonnes
Developed countries
Developing countries
Developing at same per
capita as developed
(hypothetical)
Milk demand and consumption levels
differ in developed and developing countries
0
200
400
600
800
1000
2005/07 2050
Demand for milk
million t/annum
Developing
Developed
0
50
100
150
200
250
2005/07 2050
Milk consumption
kg/capita/annum
Drivers of the increase in demand for
animal source food, particularly in developing countries
Population
growth
GDP growth
Urbanisation
Source: Population Division of the Department of Economic and
Social Affairs of the United Nations Secretariat (2007)
Billionsofpeople
World population growth to 2050
Number of poor livestock keepers (millions)
Poor defined as <2 USD per day, 2010 data (Robinson et al., 2011)
0
50
100
150
200
250
300
350
Sub-Saharan
Africa
South Asia East Asia and
Pacific
Eastern
Europe and
Central Asia
Latin America
and
Caribbean
Middle East
and North
Africa
Globally
766 million
Multiple roles of livestock to the rural poor
Savings & insurance
Food & nutrition: meat / milk
Income
Draught power / transport
Fertiliser (manure)
Various uses of hides and skin
Livelihood risk reduction
Ceremonies / dowry
Benefit from common property
resources
Ecosystem services
Livestock keeping objectives
Mixed crop-livestock system, The Gambia
Objective Cows Bulls Sheep Goats
Savings / insurance 9.6 9.9 7.8 7.8
Manure 6.7 6.7 4.5 5.3
Draught 6.3 7.1 0.0 0.0
Domestic milk consumption 6.1 0.0 0.6 0.9
Milk sale 5.9 0.0 0.0 0.0
Ceremonial / Dowry 5.3 4.8 6.7 7.3
Income 2.9 3.3 6.3 7.7
Transport 2.1 2.8 0.0 0.0
Hides / skin 0.6 0.6 1.0 1.1
Domestic meat consumption 0.6 0.6 1.8 2.7
Sale of breeding animals 0.0 0.0 0.0 0.0
Scoring 0-10, where 10 = most important objective
Livestock keeping objectives:
gender differentiation
Objective Male
pastoralists
Female
pastoralists
Savings and insurance 5.3 8.2
Domestic milk consumption 8.7 9.5
Domestic meat consumption 6.3 1.7
Milk sale 9.5 9.3
Income 7.4 5.6
Transport 8.8 9.6
Drawing well water 6.4 9.8
Ceremonial / dowry 5.2 6.8
Hide / Skin 3.8 2
Bone 2.3 0
Camels, Pastoral system - Somaliland
Level of market
orientation
% Women % Men % Joint
Low 72% 27% 1%
Medium 45% 50% 5%
Women may loose control of benefits from livestock as an enterprise
commercialises
Livestock and gender
Who controls income from sale of milk – Senegal dairy
Gender-transformative approaches can help address the underlying
issues (social norms, power relationships) of this gender inequality
Women are major contributors to livestock
production, but face a number of constraints in
comparison to men
Limited access to resources e.g. land, water, credit
Limited access to market information
Limited decision making power
The challenge
By the time of population stabilisation at about 2050:
A 60% increase in food production is needed
75% of this must come from producing more food from the same
amount of land
The higher production must be achieved while reducing poverty
and addressing environmental, social and health concerns
This higher production may have to be achieved with
temperatures that are 2−4 degrees warmer than at present
Sustainable animal source food systems in developing
countries are recognised as critical to this
Scenarios for sustainable animal source food
systems in developing countries
90% of animal
products are
produced /
consumed in
same country or
region
Smallholders
produce > 80% of
developing
countries food
Livestock productivity in developing countries
remains low, for a variety of complex reasons
0
200
400
600
800
1000
Typical
management
Better
management
Litres
Milk yield (365 days)
Lactating
28%
Dry
72%
Age first calving: 4 years
Calving interval: > 2 years
West African Zebu Gobra Cattle
AnGR use in developing countries
To date, many developing country
livestock production systems have
not realized the same benefits from
genetic improvement achieved in
developed country livestock
production systems
Constraints to optimising AnGR use in
developing countries
Investment prioritized into other aspects of livestock development
Heterogeneity of livestock systems, farm-scale, management
practices, and needs and preferences of livestock keepers
Few working models for sustained genetic improvement
Lack of data
Some breeds have no phenotypic information
Limited longitudinal data
Phenotypic data now much expensive than genomic
Lack of supportive policies & institutional arrangements
Few experienced animal breeders
However breed change is occuring
Livestock type Example
Cattle - dairy European dairy breeds (including Holstein-Friesian and Jersey) in 26
African and 12 South and South East Asian countries
Cattle - meat or
dual-purpose
The Braham, developed in North America from Indian stock, in 15
African and 3 South and South East Asian countries
Sheep The Blackhead Persian from Somali in 12 other African and 1 South
and South East Asian countries
Chicken The Rhode Island Red of North America in 16 African and 8 South
and South East Asian countries
Goat The Jamnapari of India in 7 other South and South East Asian
countries
Pig The Large White of Europe in 24 African and 10 South and South East
Asian countries
Source: FAO SOW AnGR
Breed change: which systems
Livestock system Breed type
Agro-pastoral and pastoral Almost exclusively indigenous
Extensive mixed crop-livestock Predominantly indigenous
Intensive mixed crop-livestock
Indigenous plus cross-breeds /
composites
Limited pure-bred exotic
Industrial
Mainly cross-breeds / composites
and pure-bred exotic
Breed change: which systems
This distribution is largely driven by:
The need for improved management
for non-indigenous breed types to
survive and produce
Differing roles of livestock in
different system (e.g. in pastoral
systems emphasis is often on the
‘savings and insurance’ aspect of
livestock)
Main species we work on
Goat - Africa
Sheep – Africa
Pig – Africa, Asia
Poultry - Africa
Dairy cattle –
Africa, Asia
Dual purpose cattle –
Africa, Latin America
Research focus areas
1. Assessment of systems, and AnGR use within the systems, for
development of strategies on ANGR use
2. Promoting or creating improved breeds of livestock
3. Multiplication and delivery systems for the improved
livestock genetics
4. Ensuring sustainability of the genetic interventions &
translation to impact
1. Assessment of systems, and AnGR use within the
systems, for development of strategies on ANGR use
Assessments performed at a range of levels:
Policy reviews
System / value-chain assessments
Household level assessments
Herd / animal level assessments
With stakeholders / partners, strategies on AnGR use are developed
For example, reformulation of policy, testing new breed-types,
structuring cross-breeding, strengthening the AI system
With stakeholders / partners, identified interventions are implemented
Pilot testing if successful, scale-out
The need for better
phenomics capabilities is now
strongly recognised
High emphasis on development
of methodological approaches
& tools for assessment –
particularly survey tools
Geographical distribution of different pig breeds in Nghe An province of Vietnam
Determination of geographical distribution of breed / cross-breeds
by use of a participatory mapping approach
ILRI bio-repository “Azizi”- biological samples from livestock,
pathogens, vectors, linked to various information
~400,000 samples to-date
2. Promoting or creating improved breeds of livestock
Identification & promotion of the most appropriate breed-types
Evaluating breed-types for productivity & livelihood benefit to
improve decision making on breed-choice
Within-breed improvement
Scale and sustainability are difficult to achieve
Cross-breeding
Indigenous x exotic crosses increasingly receiving attention
Unstructured cross-breeding systems are common
Creation of new breed-types
Gene-editing
Example project: identification of the most appropriate breed-type
of dairy cattle in Senegal
Comparative analysis associated with keeping different breed types
Breed composition of
project animals
Breed information in
absence of farmer
pedigree
Genotyping of project
and reference animals
(SNP chip)
In-situ assessment
Performance, economic
& other data (household,
herd and animal level)
Productivity, cost:benefit to the livestock keeper
220+ households
3700+ animals
1800+ cows
2 years monitoring
Example project: Pilot testing of mobile phase based data
capture, analysis and feedback systems for use by farmers
Key issue = incentives for farmer participation
Current farmer recording systems =
none, mental, limited written
Permanent recording, linked to data
analysis & feedback systems
Example project: “Magic cow”
“Tumaini” – cloned (somatic cell
nuclear transfer) Boran bull,
with his progeny
Long term goal to create genetically modified cattle resistant to African
trypanosomiasis by gene-editing approach (baboon gene APOL1 confers
resistance)
To-date: platform development (gene-editing, cloning)
Trypanosomiasis infested cow
Use of genomic (SNP) data in improving livestock breeds
Determination of breed-type in absence of farmer pedigree
0
20
40
60
80
No Yes
%animals
Alignment between farmer and
SNP-based breed assignment
Genetic evaluations: GRM, GBV (evaluating utility)
Senegal dairy, n=566 (67% cross-bred)
3. Multiplication and delivery systems for the
improved livestock genetics
Establishment of business models
for delivery (e.g. public-private
partnerships)
Adaptation of reproductive
technologies to the local situation
(e.g. solid surface embryo
vitrifcation + field embryo
recovery)
4. Ensuring sustainability of the genetic
interventions & translation to impact
Supporting policy and institutional arrangements
Capacity building – organizational and human level
Increasing use of theory of change based monitoring &
evaluation to help ensure that genetic interventions (packaged
with other interventions) translate into desired benefit
Consideration of equality issues, particular focus on gender
Ensuring developing countries animal genetic resources remain
fit for a future changed environment