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Genetic diversification and intensification Experiences from Kongwa Kiteto Patrick Okori Kongwa Kiteto-Team.

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Presentation on theme: "Genetic diversification and intensification Experiences from Kongwa Kiteto Patrick Okori Kongwa Kiteto-Team."— Presentation transcript:

1 Genetic diversification and intensification Experiences from Kongwa Kiteto Patrick Okori Kongwa Kiteto-Team

2 Project sites Kiteto district is found in the Manyara region with an estimated population of 152,757 Kongwa District is found in Dodoma Region. We are working in Mlali ward with a population of about 28,000 people

3 Partners

4 The Team: Core implementers

5 Context Development challenges Under-investment in productivity enhancing technologies. Limited access to technology and delivery–60-70% of households had not contact with research & extension; Limited access to agric. financing; Un-managed risks increase exposure to variability in weather patterns with periodic droughts; Impacts Low productivity of crops and livestock –crop yield gaps>50% Fragile production to market systems. High vulnerability to weather and other natural disaster related challenges High levels of poverty and food insecurity: >35.5% live below the food poverty line

6 The research issues Focus Improve productivity of crops and livestock Reducing vulnerability to weather Minimizing health risk from crops to improve wellbeing and competitiveness What are the best technology packages that can catalyze improvement in productivity, resilience and value chain functionality for KK

7 Impact Economic and ecological rewarding pathways out of hunger and poverty improve prospects for for smallholder families in Semi arid areas of central Tanzania Output cluster 2 Technologies & approaches fo r delivering integrated innovations tested & validated Activities 1.New resilient varieties tested and deployed. 2.Integrated cereal, legume technologies. evaluated. 3.ISF&W innovations tested. 4.A costed framework for up scaling. 5.Options for poultry & livestock production studied. Output cluster 3 Options& technologies for improved nutrition and food safety tested & validated Activities 1.Aflatoxin prevalence mapped. 2.Pathogen dynamics studied. 3.Gender analysis of agriculture enterprises done 4.Legume/cereal complementary feeding strategies tested. 5.Legume processing technologies tested Output cluster 1 Clarified intervention options for intensification identified Activities 1.Baselines on post harvest losses and food safety. 2.Biophysical characterisation of action sites. 3.Selected commodity value chains analysed. 4.Development domains appropriately mapped. Output cluster 4 Options for partner-led dissemination of innovations explored Activities 1.Partners engaged for aflatoxin mitigation. 2.Partners trained on aflatoxin management. 3.Capacity developed for aflatoxin diagnosis. 4.Communities engaged in IP establishment. 5.Community learning and action research systems initiated. Outcome 1 Increased and stable crop productivity improve food, nutrition and income security Outcome 2 Improved land productivity increased resilience and robust farming systems Outcome 3 Improved health and nutrition enhance the quality of life & HH productivity

8 Modified from Montpellier Panel (2013) Framing implementation: SI agenda for Kongwa & Kiteto Deployment of ecological, genetic and socio-economic option s

9 Innovation pathway Yrs 1-2 Technology testing site characterization

10 RO 1: Yield gap a driver of food insecurity Average crop productivity (kg/ha) by crop and district CropKongwaKitetoTotal Maize782.3623.4753.3 Sunflower391.3555.2433.4 Groundnut608.9450.8529.9 Pigeonpea200.3117.3158.8 Sorghum323.5207.2314.6 Bambara332.7160.6295.1 Productivity at 50% of potential yield for above crops Farmers involved in extensive farming using mechanized agriculture

11 Kiteto and Kongwa Frequent drought, poor nutrition are among the challenges faced by the majority areas in target locations Low adoption of priority crops, high yielding varieties and poor access to quality seed Crop NjoroChitegoMlaliMoletiLaikala Cereals/Millets Maize√√√√- Sorghum----√ Pearl millet----√ Legumes Groundnut √√√√√ Pigeonpea √√√√√ Bambara nut √√√√√ Crop varieties tested

12 Research output 2: On-farm evaluation of new varieties PVS on groundnuts  New varieties increase yields by up to 3-4 fold VarietiesYield (tons/ha) 1. ICGV-SM 995680.550.44 2. ICGV-SM 027241.501.28 3. MANGAKA0.730.35 4. PENDO0.610.28 5.MNANJE0.870.77 6. LOCAL LANDRACES0.270.17

13 Innovation pathway

14 Theme 2 On-farm evaluation of improved legumes and cereals; disease management, for SI integration CGIAR

15 Resilient quality protein maize for KK HybridGrain Yield (tha - 1 ) No. of earsNo. of Rotten ears Ear Aspect T283-342.03147.11.732.3 T283-311.77138.41.672.3 T283-351.74148.51.552.7 T283-321.72124.61.892.6 T283-331.60162.51.982.9 Local check1.1185.02.213.3 LISHEH20.9187.61.253.0 KILIMAQH060.4127.51.073.6 Grand Mean1.41115.21.672.83 LSD (0.05)0.4424.453.100.40 Attributes Drought tolerant, high protein, >50% yield advantage

16 High yielding groundnut varieties for KK 2013-2014 Variety Grain yield(Kg/ha) % Gain over local check 100 Seed Size(g) % Gain over local check KitetoKongwaMean KitetoKongwaMean ICGV-SM 02724254626742623122.154.653.754.160.3 ICGV-SM 9956818271386156232.344.245.645.033.5 ICGV-SM 0351916501598161937.145.236.940.219.2 ICGV-SM 0565021771870199368.838.338.638.514.0 Local1084124611810.037.930.933.70.00 ICGV-SM 01513169814591555735.030.432.2-4.4 F. Prob<.001 0.007<.001 CV25.731.135.324.2145.2 L.S.D475.5432.8387.810.44.520.4

17 2014-2015: Validation GenotypesChitegoMlaliMoletiNjoro Overall Rank ICGV-SM 01513741.88679315.3805 ICGV-SM 027241251.631530.25883.6384.881 ICGV-SM 03519756.88960.5584.25597.52 ICGV-SM 05650980.63655.75409.51503 ICGV-SM 99568896.5474.5305.5106.254 Local variety409.5154.75168.13221.636 Mean839.5742.46444.4193.38 P.Value0.00040.0050.00550.096 S.E114.6191.2104.286.2 Attributes: 60% yield advantage Large grain confectionery Amenable to some multiple cropping

18 EntryKernel yield (kg/ha) Days to 50 % flowering Plant height (cm) Overall pest score Overall disease score 15460565152.51.604.4 16418567134.91.534.34 4384267129.72.013.6 3381266128.22.073.0 25364665152.32.513.0 12306266122.31.403.0 1268066146.42.185.6 F. Prob0.8710.650.2170.7870.879 Mean308668.87135.72.0133.96 S.E.D10704.70330.130.77781.701 High yielding sorghum varieties tested Attributes The highlighted material combine are high yielding and early Biomass for livestock (taller plants) Disease tolerant

19 Highly productive pigeonpea evaluated Variety Grain yield(Kg/ha) % Gain over local check KitetoKongwaMean ICEAP 00040900.8709.9773.5156.0 ICEAP 00557539.7740.6673.6122.9 ICEAP 00936444.4702.1616.2103.9 ICEAP 00554432.5635.2567.687.9 ICEAP 00932388.9603.9532.276.2 ICEAP 00933440.5560.8520.772.4 LOCAL174.6365.8302.10.00 F.Prob <.0010.001<.001 L.S.D 162.9167.9146.8 Attributes Medium duration 6 month Multiple cropping amenable Market class seeds

20 New pearl millet varieties for KK tested The highlighted material combines high yielding ability and earliness EntryGrain yield (kg/ha) Days to 50 % flowering 1000 seed mass (g) Overall disease score 16310551.713.52.27 12297551.314.23.15 14276953.013.53.55 13275953.815.24.15 22270454.614.03.55 23266952.912.03.08 9262250.612.65.13 2251151.313.91.80 8247654.314.71.56 1245651.615.43.13 11238453.713.82.77 F.Prob 0.002<0.0010.0190.325 Mean 230654.814.653.133 S.E.D 471.52.462.971.439

21 Maturing technology clusters Improved legumes + cereals underpin technology clusters 1Productivity enhancement a) Augmented cropping options Double up legumes (Leguminous crop + fodder tree) Resilient varieties + judicious soil fertility/water management + crop architecture b) Land productivity Ecological land and soil management for feed and food c) Crop/poultry production systems for food, fertility and incomes 2Health and Nutrition Community based aflatoxin management options

22 Moving forward

23 Seed components  National performance and release  Food safety: Mycotoxins  Integration: Augmented cropping systems  Diversification

24 Improved functionality of national seed systems for scaling up & out Improved system productivity Increased & equitable income Alternative approaches tested to support informal seed systems National seed strategies & roadmaps developed & deployed Strengthening of breeder & foundation seed production Formal outlet chains strengthened Food security Pathways for input delivery: PPP model

25 Knowledge dissemination pathways Leveraging adopters as lead farmers/linkage farmers TechnologiesLead farmers /direct beneficiaries Poultry &livestock62 ISFM293 Crop technologies600 Soil and water100 Nutrition100

26 Mature technology clusters

27 Lessons learnt 1.Integration. Complex institutional and operational relationships.  Varied biophysical contexts  Socio economic contexts: Power relationships and resource endowments  May affect of success and the scale of deployment. 2.Scaling out technologies:  Leverage alliances tech. dissemination and knowledge dissemination  Explore Synergies (for example traditional + radio ICTS- approaches)  Technologies with low interest from private sector

28 Thank You Africa Research in Sustainable Intensification for the Next Generation africa-rising.net


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