American Journal of Rural Development
ISSN (Print): 2333-4762 ISSN (Online): 2333-4770 Website: http://www.sciepub.com/journal/ajrd Editor-in-chief: Chi-Ming Lai
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American Journal of Rural Development. 2019, 7(2), 44-52
DOI: 10.12691/ajrd-7-2-1
Open AccessArticle

Determinants of Adoption and Farmers' Preferences for Cassava Varieties in Kabare Territory, Eastern Democratic Republic of Congo

Jean M. Mondo1, , Alain B. Irenge1, Rodrigue B.B. Ayagirwe1, Paul M. Dontsop-Nguezet2, Katcho Karume1, Emmanuel Njukwe3, Sylvain M. Mapatano4, Patient M. Zamukulu1, Géant C. Basimine1, Eric M. Musungayi5, Héritier K. Mbusa6, Léon M. Kazamwali1, René Civava1, 5 and Gustave N. Mushagalusa1

1Faculty of Agriculture and Environmental Sciences, Université Evangélique en Afrique (UEA), Bukavu, DR Congo

2International Institute of Tropical Agriculture (IITA), Kalambo, DR Congo

3International Institute of Tropical Agriculture (IITA), Bujumbura, Burundi

4Plateforme DIOBASS-Kivu, Bukavu, DR Congo

5Institut National pour l’Étude et la Recherche Agronomiques (INERA), Mulungu, DR Congo

6Faculty of Agricultural Sciences, Université Catholique du Graben, Butembo, DR Congo

Pub. Date: April 17, 2019

Cite this paper:
Jean M. Mondo, Alain B. Irenge, Rodrigue B.B. Ayagirwe, Paul M. Dontsop-Nguezet, Katcho Karume, Emmanuel Njukwe, Sylvain M. Mapatano, Patient M. Zamukulu, Géant C. Basimine, Eric M. Musungayi, Héritier K. Mbusa, Léon M. Kazamwali, René Civava and Gustave N. Mushagalusa. Determinants of Adoption and Farmers' Preferences for Cassava Varieties in Kabare Territory, Eastern Democratic Republic of Congo. American Journal of Rural Development. 2019; 7(2):44-52. doi: 10.12691/ajrd-7-2-1

Abstract

Cassava plays a major role in households’ food and income security in Democratic Republic of Congo (DRC). Despite multiple efforts to overcome the problem of low productivity in cassava production through the introduction of improved technologies, the level of adoption of such technologies by farmers has remained low in eastern DRC. This study, therefore, aimed at identifying determinants of adoption and farmers' preferences for cassava varieties in Kabare Territory, eastern DRC. A participatory approach was used to collect data on 250 cassava smallholder farmers in five different zones called “groupements” including Cirunga, Kagabi, Bugorhe, Katana, and Mumosho. Results showed that improved cassava varieties are adopted by 28.8% of smallholder farmers. Membership in an agricultural cooperative, access to planting material as a credit, education level, gender, and cropping system had a positive influence on improved varieties’ adoption. In contrary, field-to-house distance, location and total farm size had a negative effect on adoption decision. This study demonstrated that introduced varieties possess most of traditional desirable traits (yield potential, taste, high disease resistance and early maturity) but are lacking local (regional) farmers’ preferences such as leaf production, in-soil storage, bitterness, tuber color which had limited adoption by farmers who continue relying on local landraces (88%) for those traits. Therefore, in addition to addressing negative factors that prevent adoption, specific attention should be given by cassava breeders to local specific preferences if the objective is to increase adoption of improved varieties by farmers in eastern DRC.

Keywords:
Improved varieties landraces dissemination strategies smallholder farmers South-Kivu

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References:

[1]  Chausse, J-P., Kembola, T. and Ngonde, R. (2012). L’agriculture : Pierre angulaire de l’économie de la RDC. In Herderschee, J., Samba, D.M. and Tshibangu, M.T. (Eds), Résilience d’un Géant Africain: Accélérer la Croissance et Promouvoir l'Emploi en République Démocratique du Congo, Volume II: Etudes sectorielles, MEDIASPAUL, Kinshasa, pp.1-97.
 
[2]  FAO (2018). FAO stat. http://www.fao.org/faostat/en/#data/QC.
 
[3]  Harvest-Plus (2010). Provitamin A Cassava in the Democratic Republic of Congo. Washington, USA, p.45. http://www.harvestplus.org/sites/default/files/CCP%20DRC%20Cassava_final_0.pdf.
 
[4]  FEWS NET (Famine Early Warning Systems Network) (2018). Supply and Market Outlook, Democratic Republic of Congo. https://reliefweb.int/sites/reliefweb.int/files/resources/DRC_SMO_ January2018.pdf.
 
[5]  Dontsop-Nguezet, P.M., Njukwe, E., Amato, M., Nyakuni, A.G., Zozo, R., Okafor, C. and Akem, C. (2016). Value Chain Assessment of Major Food Crops in South Kivu and North Katanga, DR Congo. World Congress on Root and Tuber Crops Nanning, Guangxi, China, January 18-22, 2016.
 
[6]  Montagnac, J.A., Davis, C.R. and Tanumihardjo, S.A. (2009). Nutritional value of cassava for use as a staple food and recent advances for improvement. Comprehensive reviews in food science and food safety 8(3):181-194.
 
[7]  Munyahali, W., Pypers, P., Swennen, R., Walangululu, J., Vanlauwe, B. and Merckx, R. (2017). Responses of cassava growth and yield to leaf harvesting frequency and NPK fertilizer in South Kivu, Democratic Republic of Congo. Field Crops Research 214:194-201.
 
[8]  Mahungu, N., Ndonda, A., Frangoie, A. and Moango, A. (2015). Effet du labour et du mode de bouturage sur les rendements en racines et en feuilles de manioc dans les zones de savane et de jachères forestières de la République Démocratique du Congo. Tropicultura 33(3):176-185.
 
[9]  Bisimwa, E., Walangululu, J. and Bragard, C. (2015). Cassava Mosaic Disease Yield Loss Assessment under Various Altitude Agroecosystems in the Sud-Kivu Region, Democratic Republic of Congo. Tropicultura 33(2):101-110.
 
[10]  Ndjadi, S.S., Nna’ka, R.A, Mudosa, B.C, Basimine, C.G. and Bisimwa, B.E. (2017). Analyse des déterminants de l’adoption des variétés du manioc dans le Sud-Kivu, République Démocratique du Congo. Afrique SCIENCE 13(3):113-124.
 
[11]  Monde, G., Bolonge, P., Bolamba, F., Walangululu, J., Winter, S. and Bragard, C. (2013). Impact of African Cassava Mosaic Disease on the Production of Fourteen Cassava Cultivars in Yangambi, Democratic Republic of Congo. Tropicultura 31(2): 91-97.
 
[12]  AGRA (2017). 14 Improved Crop Varieties Officially Released in the Democratic Republic of Congo. https://agra.org/news/14-improved-crop-varieties-officially-released-in-the-democratic-republic-of-congo/.
 
[13]  Dontsop-Nguezet, P.M., Manyong, V.M., Abdoulaye, T., Alene, A., Amato, M.S., Ainembabazi, J.H., Mignouna, D.B. and Okafor, C. (2016). Non-farm activities and adoption of improved cassava and beans varieties in South-Kivu, DR Congo. Tropicultura 34(3): 262-275.
 
[14]  FAO (2009). Rapport national sur l’Etat des ressources phylogénétiques pour l’alimentation et l’agriculture, République Démocratique du Congo (RDC). http://www.fao.org/docrep/013/i1500e/Democratic%20Republic%20Congo.pdf.
 
[15]  Sanginga, N. and Mbabu, A. (2015). Racines et Tubercules (Manioc, Igname, Pomme de Terre et Patate Douce). https://www.afdb.org/fileadmin/uploads/afdb/Documents/Events/ DakAgri2015/Racines_et_Tubercules__Manioc__Igname__Pomme_de_Terre_et_Papate_Douce_.pdf.
 
[16]  Nkamleu, G.B. and Adesina, A.A. (2000). Determinants of chemical input use in peri-urban lowland systems: bivariate probit analysis in Cameroon. Agricultural Systems 63:111-121.
 
[17]  Acheampong, P.M., Owusu, V. and Nurah, G.K. (2013). Farmers Preferences for Cassava Variety Traits: Empirical Evidence from Ghana. Contributed Paper Prepared for Presentation at the Fourth International Conference of the African Association of Agricultural Economists (4th ICAAAE) 22-25 September 2013, Hammamet, Tunisia.
 
[18]  Fagbémissi, R.C., Coulibaly, O., Hanna, R. and Endamana, D. (2002). Adoption de variétés de manioc et efficacité durable de la lutte biologique contre l’acarien vert du manioc au Bénin. Bulletin de la Recherche Agronomique du Benin 38:1-15.
 
[19]  Roussy, C., Ridier, A. and Chaïb, K. (2015). Adoption d’innovations par les agriculteurs: rôle des perceptions et des préférences. INRA, France.
 
[20]  Njukwe, E., Hanna, R., Kirscht, H. and Araki, S. (2013). Farmers’ perception and criteria for cassava variety preference in Cameroon. African Study Monographs 34 (4): 221-234.
 
[21]  Wossen, T., Tessema, G., Abdoulaye, T., Rabbi, I., Olanrewaju, A., Alene, A., Feleke, S., Kulakow, P., Asumugha, G., Adebayo, A. and Manyong, V. (2017). The cassava monitoring survey in Nigeria final report. IITA, Ibadan, Nigeria. ISBN 978-978-8444-81-7. p.66.
 
[22]  Ansoms, A. and Marivoet, W. (2009). Profil socio-économique du Sud-Kivu et futures pistes de recherche. L'Afrique des Grands Lacs: annuaire 2010, pp.259-271.
 
[23]  Usungo-Ulingu, J. (2016). Réseau routier, pression démographique et espaces agraires dans l’hinterland rural de la ville de Bukavu, en RD Congo (1921-2012). In Parmentier (Ed.), (2016). Etudes et bibliographies d’histoire environnementale: Belgique-Nord de la France-Afrique centrale. Actes des 2e RBel, Namur, Décembre 2012, Namur, Belgium. pp. 245-252.
 
[24]  Maddala, G.S. and Lahiri, K. (1992). Introduction to econometrics (Vol. 2). New York: Macmillan.
 
[25]  Gujarati, D. (2004). Basic Econometrics. United States Military Academy, West Point.
 
[26]  Wooldridge, M. (2009). An introduction to multiagent systems. John Wiley & Sons.
 
[27]  Burton, M., Rigby, D. and Young, T. (1999). Analysis of the determinants of adoption of organic horticultural techniques in the UK. Journal of Agricultural Economics 50(1):47-63.
 
[28]  Greene, W.H. (2003). Econometric analysis. Pearson Education India.
 
[29]  Gregory, T. and Sewando, P. (2013). Determinants of the probability of adopting quality protein maize (QPM) technology in Tanzania: A logistic regression analysis. International journal of development and sustainability 2(2):729-746.
 
[30]  Hill, R.V. and Vigneri, M. (2014). Mainstreaming gender sensitivity in cash crop market supply chains. In Gender in agriculture (pp. 315-341). Springer, Dordrecht.
 
[31]  Zakaria, H. (2017). The drivers of women farmers’ participation in cash crop production: the case of women smallholder farmers in Northern Ghana. The Journal of Agricultural Education and Extension 23(2):141-158.
 
[32]  Doss, C.R. (2002). Men’s crops? Women’s crops? The gender patterns of cropping in Ghana. World Development 30(11): 1987-2000.
 
[33]  Jeremiah, S.C., Kulembeka, H.P., Kanju, E., Chirimi, B. and Amour, R. (2007). The role of community-based organisations, NGOs and farmers in technology transfer. In Proceedings of the 13th ISTRC Symposium (pp. 686-688).
 
[34]  Marra, M., Pannell, D.J. and AbadiGhadim, A. (2003). The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve? Agricultural Systems 75(2-3):215-234.
 
[35]  Ainembabazi, H., Asten, P., Vanlauwe, B., Ouma, E., Blomme, G., Birachi, E., Manyong, V.M. and Macharia, I. (2015). Improving the adoption of agricultural technologies and farm performance through farmer groups: Evidence from the Great Lakes Region of Africa. In 2015 Conference, August 9-14, 2015, Milan, Italy (No. 210939). International Association of Agricultural Economists.
 
[36]  Wossen, T., Abdoulaye, T., Alene, A., Haile, M.G., Feleke, S., Olanrewaju, A. and Manyong, V. (2017). Impacts of extension access and cooperative membership on technology adoption and household welfare. Journal of rural studies 54:223-233.
 
[37]  Ouédraogo, S. (2003). Impact socio économique des variétés améliorées de niébé sur les revenus des exploitations agricoles du plâteau central du Burkina Faso. Tropicultura 21(4):204-210.
 
[38]  Allogni, W.N., Coulibaly, O. and Honlonkou, A.N. (2004). Impact des nouvelles technologies de la culture de niébé sur le revenu et les dépenses des ménages agricoles au Bénin. Bulletin de la Recherche Agronomique du Benin 44, p.17.
 
[39]  Abdulai, A. and Huffman, W.E. (2005). The diffusion of new agricultural technologies: The case of crossbred-cow technology in Tanzania. American Journal of Agricultural Economics 87(3): 645-659.
 
[40]  Sauer, J., and Zilberman, D. (2009). Innovation behaviour at farm level–Selection and identification. 49th annual meeting of the German Association of Agricultural Economics and Sociology, GEWISOLA, Kiel, p. 26.
 
[41]  Soule, M.J., Tegene, A. and Wiebe, K.D. (2000). Land Tenure and the Adoption of Conservation Practices. American Journal of Agricultural Economics 82(4):993-1005.
 
[42]  Prokopy, L.S., Floress, K., Klotthor-Weinkauf, D. and Baumgart-Getz, A. (2008). Determinants of agricultural best management practice adoption: Evidence from the literature. Journal of Soil and Water Conservation 63(5):300-311.
 
[43]  Prager, K. and Posthumus, H. (2010). Socio-economic factors influencing farmers’ adoption of soil conservation practices in Europe. In Napier, T.L. (Ed.), Human dimensions of Soil and Water Conservation: A Global Perspective. Nova Science Publishers, Inc, New York, pp.203-223.
 
[44]  Sibiya, J., Tongoona, P., Derera, J. and Makanda, I. (2013). Farmers’ desired traits and selection criteria for maize varieties and their implications for maize breeding: A case study from KwaZulu-Natal Province, South Africa. Journal of Agriculture and Rural Development in the Tropics and Subtropics 114 (1): 39-49.