1. Somé K., Belem J. and Garane A. DEVELOPMENT OF SWEETPOTATO VARIETIES IN BURKINA FASO Accra, 25-26 th February 2013

2. Sweetpotato production and utilization is getting increase in Burkina These last 10 years the production has evolved from 27000 tons in 2000 to 141000 tons in 2011 representing an increase of more than 400% Yields are unstable and varied between 6 and 18 t/ha depending on the year Evolution of sweetpotato production and yield from 2000 to 2011

3. Most sweetpotato materials used are farmers varieties There are dominated by those with white fleshed Are late maturing (4 to 6 months) Small storage root size However, resistant to most of virus strains and have good storage ability Farmer’s variety in the Eastern region

4. Production constraintsFrequencyPercentageRank Weevil damages2960,41 Susceptibility to poor soil2654,22 Disease occurrences2347,93 Lack of reliable market1735,44 Planting materials12255 Susceptibility to drought12255 Storage ability12255 Unadapted Variety918,88 Lack of Processing12,19 Bad cooking ability12,19 Major production constraints ranked according to their importance (2010 )

5. TraitsFrequencesPercentageRank High yield3572,91 Big storage root3368,82 Good market appeal3164,63 Resistant to weevil2347,94 Early maturing2245,85 Cooking quality1939,66 Numerous storage root1531,37 Skin color1531,38 Tolerance to drought1122,99 Non sweet storage root1327,110 Orange flesh storage root714,611 Good taste714,611 Hard storage root (high DM)24,213 Processing24,213 Good presentation (not too big with smooth skin) 24,213 Storage ability24,213 Desired traits identified and rankend by farmers

6. Breeding objectives To develop high yielding sweetpotato with high beta-carotene content as a contribution to food security and with the potential to alleviate malnutrition in Burkina Faso. Specifically, to:  develop high yielding varieties with wide to specific adaptation to the local agro-ecological contexts  select varieties with high nutritional values (OFSP, with regard to the DM content)  Ensure that developed varieties met farmers and consumers expectations

7. STRATEGIES ADOPTED Variety development through controlled crossed of divergent parents Seed germination and vine multiplication On station evaluations in 2 years and 3 different agro- ecological zones On farm evaluation in collaborative with CRS, HKI and FDC in numerous other zones

8. Major results Parental combinations to obtain better yield, high beta- carotene, good dry matter content known  BF59 and BF77 crossed well with Tainung to give good yield  BF82 cross well with CIP-199062-1 and TIB-440060 to give F1 with orange flesh Promising varieties identified for further evaluation with farmers identified

9. Genotypes Root yield (t/ha) Upgr BiomYield (t/ha) Β -carotene (mg/100g of fresh weight) Virus2DM%Irwgt BF82xTainung-820.3316.330.482.3323.2179.15 BF82xTainung-2019.6717.230.783.3321.82242.68 BF82xCIP-1718.5614.783.921.1728.45118.18 BF80xTainung-218.1111.8922.3319.27203.89 BF82xTainung-2417.8325.898.29121.79136.43 BF92xCIP-617.1117.836.441.8326.61175.9 BF59xCIP-416.7821.568.321.8324.81116.15 BF24xTIB-316.1717.287.662.6727.33116.72 BF59xTIB-615.2211.394.362.3321.48275.94 BF82xCIP-1815.2230.112.321.522.81186.07 BF59xCIP-113.5618.338.321.1727.09110.82 BF82xTIB-413.510.331.032.1730.06145.36 The Best twelve F 1 genotypes that had significantly higher yield than the best check

10. BF82xTainung-8 (20.33 t/ha) BF82xTainung-24 (17.83 t/ha)

11. BF59xTainung-5 (54.66 t/ha) – White flesh

12. Genotypes Root yield BiomYiel d Β - carotene (mg/100 g fw) Virus2DM%Irwgt BF82xTIB-87.781110.852.6725.71105.23 BF82xCIP-139.89129.961.3330.8659.42 BF92xCIP-84.5613.179.571.6722.54101.08 BF92xTIB-210.4515.59.41231.61170.54 The four F 1 genotypes that had significantly higher beta-carotene than the best check (BF14 with 8.35) The higher bet-carotene genotypes have small yield

13. GenotypesRoot yieldBiomYield Β -carotene Virus2DM%Irwgt BF82xTainung-117.7813.110.871.6732.15109.6 BF92xTIB-210.4515.59.41231.61170.54 BF82xCIP-139.89129.961.3330.8659.42 BF82xTIB-413.510.331.032.1730.06145.36 BF82xTIB-912.515.060.632.1729.59105.81 BF82xCIP-1111.9411.674.131.8328.89104.26 BF59xTIB-48.3316.677.012.1728.81104.31 BF82xCIP-1718.5614.783.921.1728.45118.18 The eight F 1 genotypes that have dry matter content higher than 28% Have low yield and, When yield acceptable, beta-carotene content low

14. Genotypes Root yield BiomYield Β -caroteneVirus2DM%Irwgt BF82xCIP-1111.9411.674.131.8328.89104.26 BF82xCIP-1718.5614.783.921.1728.45118.18 The two F 1 genotypes that had higher yield than the best yielding check, good beta-carotene content and dry matter content over 28%

15. Existing OFSP evaluated with farmers Well appreciated in the Eastern Region

16. Well appreciated in the Central and Southern Regions Region

17. Training of farmers in collaboration with partners (HKI, CRS) Clean vine multiplication Protection from pests and diseases (farmers’ experiences shared)

18. We learnt from farmers how to control sweetpotato weevil in the field