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Agricultural Biodiversity Assessment in
the Systems CRPS: An Introduction
Mauricio R. Bellon, Principal Scientist
28/04/2014
Conceptual
framework for the
assessment
Household&individual
Dietary diversity
On-farm diversity Market diversity
Self-consumption
Sale
Purchase
Income
Food security & dietary quality
Ecosystem & Evolutionary
Services
Influencing
factors
Influencing factorsInfluencing factors
Information flow
Nutrition & Health status
Household&communityindividual
General objective
to characterize these three dimensions of ABD
the elements and relationships involved
the exogenous factors that influence them
as the basis for analyzing the roles of ABD in the lives and
livelihoods of rural populations
to identify entry points for designing and implementing interventions
that contribute to improve their well-being
Specific objectives
•To identify and quantify the number of all useful plant and animal
species (including fish) at the household-level that are:
a) grown on farm and home garden, or collected from the wild
b) consumed as part of the diet by mothers and children
c) purchased and sold
Including both domesticated and wild species
For each species the number of varieties/breeds
Focus of the assessment
Annual domesticated plant species
Perennial plant species, including agro-forestry species
Wild and semi-domesticated plant species
Domesticated animal species
Wild animal species
Fish
Species and products bought and sold
Foods consumed
Markets
Methodology
• Ethno-biological survey
• Focus group discussion
Male and female groups
• Questionnaire to a random sample of households in
villages targeted by the CRP
Data analysis:
Some preliminary
results and
examples
Focus Group
Discussions
12
Preliminary results: FDG Mali-annual species
Species Male1 Female1 Male2 Female2 Male3 Female3 Mean Count
Gossypium hirsutum 1 1 1 1 1 1 1.0 6
Pennisetum americanum 1 1 1 1 1 1 1.0 6
Zea mays 1 1 1 1 1 1 1.0 6
Sorghum bicolor 3 1 1 1 1 1 1.3 6
Vigna unguiculata 3 1 1 1 1 1 1.3 6
Arachis hypogea 4 1 1 1 3 1 1.8 6
Oryza sativa 1 1 3 1 4 2 2.0 6
Colocynthus citrillus 2 1 4 4 3 1 2.5 6
Capsicum frutescens 3 3 3 3 3 3 3.0 6
Vigna subterranea 4 3 4 3 3 1 3.0 6
Abelmoschus esculentus 3 3 4 3 3 3 3.2 6
Digitaria exilis 1 4 4 4 4 2 3.2 6
Lycopersicum esculentum 3 3 4 4 3 3 3.3 6
Solanum melongena 3 3 4 3 4 3 3.3 6
Lactusa sativa 3 3 4 3 4 4 3.5 6
Allium cepa 4 4 3 3 4 4 3.7 6
Ipomea batatas 4 4 3 3 4 4 3.7 6
Lagenaria sp 2 4 4 4 4 4 3.7 6
Brassica oleracea var. capitatta 4 4 4 4 4 4 4.0 6
Dioscorea sp 4 4 4 4 4 4 4.0 6
Glycine maxima 3 4 3 3 1 2.8 5
Cucumis sativus 3 3 4 3 3 3.2 5
Hibiscus cannabinus 4 3 3 3 3 3.2 5
Cucumis melo 4 4 4 3 3 3.6 5
Sesamum indicum 4 4 4 4 4 4.0 5
Cucurbita pepo 2 4 4 4 3.5 4
Solanum aethiopicum 3 3 4 4 3.5 4
Solanum tuberosum 4 4 4 4 4.0 4
Capsicum annuum 3 3 4 3.3 3
Plectranthus esculentus 4 4 3 3.7 3
Manihot exculentus 4 4 4 4.0 3
Cucurbita ciceraria 4 3 3.5 2
Nicotiana tabacum 4 3 3.5 2
Docus carota 4 4 4.0 2
Phaseolus vulgaris 4 4 4.0 2
Allium sativum 4 4.0 1
Zingiber officinale 4 4.0 1
Classification of annual species: male versus
female groups1234512345
1 2 3 4 5
1 2 3 4 5
1 2
3
Males
Graphs by Village
Kendall tau rank correlation coefficient
Village
1 2 3
Kendall's tau-b 0.5148 0.6742 0.6877
Test of Ho:
males and females are independent 0.0006 0.0000 0.0000
Household
questionnaire:
Preliminary results
from India
Koutiala, Mali: Crop species grown during
the rainy season
0
20
40
60
80
100
120
140
160
180
200
Number of households
Rajasthan, India: Crop species
Species Common name No. households No. villages
Pennisetum glaucum Pearl millet 227 8
Cyamopsis tetragonoloba Cluster bean 182 8
Vigna aconitifolia Moth bean 138 7
Vigna radiata Green gram 120 8
Triticum aestivum Wheat 88 5
Cicer ariatinum Chickpea 78 4
Citrullus lanatus Water melon 50 4
Cucumis sativus Cucumber 50 3
Brassica spp Mustard 27 5
Sesamum indicum Sesame 24 5
Ricinus communis Castor 21 3
Cuminum cyminum Cumin 11 4
Gossypium hirsutum Cotton 9 2
Sorghum vulgare Sorghum 8 1
Arachis hypogea Peanuts 2 1
Allium cepa Onion 1 1
Plantago ovata Psyllium 1 1
Praecitrullus Round gourd 1 1
Rajasthan, India: Trees are important
Species No. households No. villages
Prosopis cineraria 225 8
Azadirachta indica 61 7
Acacia nilotica 43 6
Ziziphus nummularia 81 6
Acacia arabica 79 5
Calotropis gigantia 74 5
Senegalia catechu 53 5
Tecomella undulata 72 5
Ziziphus mauritiana 60 5
Salvadora oleiodes 43 4
Cordia dichotoma 10 3
Areca catechu 18 2
Eucalyptus citriodora 2 2
Leptadenia pyrotechnica 21 2
Clerodendrum multiflorum 29 1
Mangifera indica 1 1
Tamarindus indica 1 1
Rajasthan, India: Domesticated animals
Species Common name No. households No. villages
Capra hircus Goat 216 8
Bos dometicus Cow 198 8
Ovis aeries Sheep 42 7
Bubalus bubalis Buffalo 37 5
Camelus dromedarius Camel 6 6
Equus assinus Donkey 3 2
Gallus gallus domesticus Hen/cock 3 1
Equus equus Horse 1 1
Rajasthan, India: Distribution of responsibility for caring
of species (number of households)
Annual crop species
Who takes care of the
species: Husband alone Wife alone Both Children
Total
Number of
households: 7 50 166 6
229
Useful trees
Who takes care of the
species: Husband alone Wife alone Both Children
Total
Number of
households: 21 43 161 4
229
Domesticated animals
Who takes care of the
species:
Husband alone Wife alone Both Children Total
Number of
households:
8 61 166 3 238
Rajasthan, India: Number of decisions made by different
household members about species
Decision-maker Number of decisions
Total
number of
decisions
1 2 3 4
Annual crop species
Husband alone 79 21 6 4 155
Wife alone 10 6 1 3 37
Both together 7 26 77 104 706
Children alone 2 0 0 4 18
Tree species
Husband alone 56 35 6 7 172
Wife alone 12 4 2 3 38
Both together 12 39 53 110 689
Children alone 1 0 0 4 17
Domesticated animal
species
Husband alone 31 39 9 14 93
Wife alone 17 2 1 4 24
Both 8 41 31 128 208
Children alone 1 3 4
Number of food items consumed and transactions by
which they were obtained by mothers and children
ABD Assessment: which CRPs and where
Dryland CRP
India
Mali
Ghana
Malawi
Mozambique
Humidtropics CRP
Vietnam
Aquatic Agricultural Systems CRP
Bangladesh
Philippines
Zambia

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Agricultural Biodiversity Assessment in the Systems CRPS: An Introduction

  • 1. Agricultural Biodiversity Assessment in the Systems CRPS: An Introduction Mauricio R. Bellon, Principal Scientist 28/04/2014
  • 3. Household&individual Dietary diversity On-farm diversity Market diversity Self-consumption Sale Purchase Income Food security & dietary quality Ecosystem & Evolutionary Services Influencing factors Influencing factorsInfluencing factors Information flow Nutrition & Health status Household&communityindividual
  • 4. General objective to characterize these three dimensions of ABD the elements and relationships involved the exogenous factors that influence them as the basis for analyzing the roles of ABD in the lives and livelihoods of rural populations to identify entry points for designing and implementing interventions that contribute to improve their well-being
  • 5. Specific objectives •To identify and quantify the number of all useful plant and animal species (including fish) at the household-level that are: a) grown on farm and home garden, or collected from the wild b) consumed as part of the diet by mothers and children c) purchased and sold Including both domesticated and wild species For each species the number of varieties/breeds
  • 6. Focus of the assessment Annual domesticated plant species Perennial plant species, including agro-forestry species Wild and semi-domesticated plant species Domesticated animal species Wild animal species Fish Species and products bought and sold Foods consumed Markets
  • 7. Methodology • Ethno-biological survey • Focus group discussion Male and female groups • Questionnaire to a random sample of households in villages targeted by the CRP
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  • 13. Preliminary results: FDG Mali-annual species Species Male1 Female1 Male2 Female2 Male3 Female3 Mean Count Gossypium hirsutum 1 1 1 1 1 1 1.0 6 Pennisetum americanum 1 1 1 1 1 1 1.0 6 Zea mays 1 1 1 1 1 1 1.0 6 Sorghum bicolor 3 1 1 1 1 1 1.3 6 Vigna unguiculata 3 1 1 1 1 1 1.3 6 Arachis hypogea 4 1 1 1 3 1 1.8 6 Oryza sativa 1 1 3 1 4 2 2.0 6 Colocynthus citrillus 2 1 4 4 3 1 2.5 6 Capsicum frutescens 3 3 3 3 3 3 3.0 6 Vigna subterranea 4 3 4 3 3 1 3.0 6 Abelmoschus esculentus 3 3 4 3 3 3 3.2 6 Digitaria exilis 1 4 4 4 4 2 3.2 6 Lycopersicum esculentum 3 3 4 4 3 3 3.3 6 Solanum melongena 3 3 4 3 4 3 3.3 6 Lactusa sativa 3 3 4 3 4 4 3.5 6 Allium cepa 4 4 3 3 4 4 3.7 6 Ipomea batatas 4 4 3 3 4 4 3.7 6 Lagenaria sp 2 4 4 4 4 4 3.7 6 Brassica oleracea var. capitatta 4 4 4 4 4 4 4.0 6 Dioscorea sp 4 4 4 4 4 4 4.0 6 Glycine maxima 3 4 3 3 1 2.8 5 Cucumis sativus 3 3 4 3 3 3.2 5 Hibiscus cannabinus 4 3 3 3 3 3.2 5 Cucumis melo 4 4 4 3 3 3.6 5 Sesamum indicum 4 4 4 4 4 4.0 5 Cucurbita pepo 2 4 4 4 3.5 4 Solanum aethiopicum 3 3 4 4 3.5 4 Solanum tuberosum 4 4 4 4 4.0 4 Capsicum annuum 3 3 4 3.3 3 Plectranthus esculentus 4 4 3 3.7 3 Manihot exculentus 4 4 4 4.0 3 Cucurbita ciceraria 4 3 3.5 2 Nicotiana tabacum 4 3 3.5 2 Docus carota 4 4 4.0 2 Phaseolus vulgaris 4 4 4.0 2 Allium sativum 4 4.0 1 Zingiber officinale 4 4.0 1
  • 14. Classification of annual species: male versus female groups1234512345 1 2 3 4 5 1 2 3 4 5 1 2 3 Males Graphs by Village Kendall tau rank correlation coefficient Village 1 2 3 Kendall's tau-b 0.5148 0.6742 0.6877 Test of Ho: males and females are independent 0.0006 0.0000 0.0000
  • 16. Koutiala, Mali: Crop species grown during the rainy season 0 20 40 60 80 100 120 140 160 180 200 Number of households
  • 17. Rajasthan, India: Crop species Species Common name No. households No. villages Pennisetum glaucum Pearl millet 227 8 Cyamopsis tetragonoloba Cluster bean 182 8 Vigna aconitifolia Moth bean 138 7 Vigna radiata Green gram 120 8 Triticum aestivum Wheat 88 5 Cicer ariatinum Chickpea 78 4 Citrullus lanatus Water melon 50 4 Cucumis sativus Cucumber 50 3 Brassica spp Mustard 27 5 Sesamum indicum Sesame 24 5 Ricinus communis Castor 21 3 Cuminum cyminum Cumin 11 4 Gossypium hirsutum Cotton 9 2 Sorghum vulgare Sorghum 8 1 Arachis hypogea Peanuts 2 1 Allium cepa Onion 1 1 Plantago ovata Psyllium 1 1 Praecitrullus Round gourd 1 1
  • 18. Rajasthan, India: Trees are important Species No. households No. villages Prosopis cineraria 225 8 Azadirachta indica 61 7 Acacia nilotica 43 6 Ziziphus nummularia 81 6 Acacia arabica 79 5 Calotropis gigantia 74 5 Senegalia catechu 53 5 Tecomella undulata 72 5 Ziziphus mauritiana 60 5 Salvadora oleiodes 43 4 Cordia dichotoma 10 3 Areca catechu 18 2 Eucalyptus citriodora 2 2 Leptadenia pyrotechnica 21 2 Clerodendrum multiflorum 29 1 Mangifera indica 1 1 Tamarindus indica 1 1
  • 19. Rajasthan, India: Domesticated animals Species Common name No. households No. villages Capra hircus Goat 216 8 Bos dometicus Cow 198 8 Ovis aeries Sheep 42 7 Bubalus bubalis Buffalo 37 5 Camelus dromedarius Camel 6 6 Equus assinus Donkey 3 2 Gallus gallus domesticus Hen/cock 3 1 Equus equus Horse 1 1
  • 20. Rajasthan, India: Distribution of responsibility for caring of species (number of households) Annual crop species Who takes care of the species: Husband alone Wife alone Both Children Total Number of households: 7 50 166 6 229 Useful trees Who takes care of the species: Husband alone Wife alone Both Children Total Number of households: 21 43 161 4 229 Domesticated animals Who takes care of the species: Husband alone Wife alone Both Children Total Number of households: 8 61 166 3 238
  • 21. Rajasthan, India: Number of decisions made by different household members about species Decision-maker Number of decisions Total number of decisions 1 2 3 4 Annual crop species Husband alone 79 21 6 4 155 Wife alone 10 6 1 3 37 Both together 7 26 77 104 706 Children alone 2 0 0 4 18 Tree species Husband alone 56 35 6 7 172 Wife alone 12 4 2 3 38 Both together 12 39 53 110 689 Children alone 1 0 0 4 17 Domesticated animal species Husband alone 31 39 9 14 93 Wife alone 17 2 1 4 24 Both 8 41 31 128 208 Children alone 1 3 4
  • 22. Number of food items consumed and transactions by which they were obtained by mothers and children
  • 23. ABD Assessment: which CRPs and where Dryland CRP India Mali Ghana Malawi Mozambique Humidtropics CRP Vietnam Aquatic Agricultural Systems CRP Bangladesh Philippines Zambia

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