Please wait a minute...
Frontiers of Agricultural Science and Engineering

ISSN 2095-7505

ISSN 2095-977X(Online)

CN 10-1204/S

邮发代号 80-906

Frontiers of Agricultural Science and Engineering  2020, Vol. 7 Issue (4): 418-426   https://doi.org/10.15302/J-FASE-2020358
  本期目录
Innovative agricultural extension value chain-based models for smallholder African farmers
Bidjokazo FOFANA1(), Leonides HALOS-KIM1, Mercy AKEREDOLU1, Ande OKIROR1, Kebba SIMA1, Deola NAIBAKELAO1, Mel OLUOCH1, Fumiko ISEKI2
1. Sasakawa Africa Association, Gurd Sholla, Daminarof Building, Addis Ababa 1000, Ethiopia
2. Sasakawa Africa Association, Sasakawa Peace Foundation Building, Tokyo 105-0001, Japan
 全文: PDF(986 KB)   HTML
Abstract

The value chain extension strategy of Sasakawa Africa Association focuses on improving the capacity of national agricultural extension systems and follows various thematic areas along the value chain to address key challenges accountable for low income households and poverty in Africa. Farmer learning platform is a model designed to increase crop productivity and encompasses demonstration plots where technological packages demonstrated significantly outperformed other technology plots in crop productivity and average profit margins. Enterprise-oriented production, postharvest and trading centers are value adding models designed to improve the effectiveness of extension and adoption of postharvest and agricultural processing technologies by producers. The use of the above along with necessary capacity building has facilitated the development of profitable business linkages of smallholder farmers with financial institutions and reliable market opportunities. The community association trader-trainer model is a market-oriented business approach applied in combination with other extension models. In 2018, 297 community-based commodity association trader-trainers were mobilized and capacitated to improve farmer group dynamics and developed collective input and output access and cluster aggregation centers at community level where various agricultural produces were mobilized and collectively aggregated, and valued at about 3.9 million USD. The supervised enterprise project model is an innovative agricultural extension model developed along with above models for capacity development of extension agents and transfer of technologies to smallholder farmers. Over 6000 supervised enterprise projects have been introduced into 27 universities in 12 African countries for training front-line extension officers and extension delivery to farming communities.

Key wordscrop productivity    extension    farmer    grain yield    income    model
收稿日期: 2019-10-02      出版日期: 2020-11-06
Corresponding Author(s): Bidjokazo FOFANA   
 引用本文:   
. [J]. Frontiers of Agricultural Science and Engineering, 2020, 7(4): 418-426.
Bidjokazo FOFANA, Leonides HALOS-KIM, Mercy AKEREDOLU, Ande OKIROR, Kebba SIMA, Deola NAIBAKELAO, Mel OLUOCH, Fumiko ISEKI. Innovative agricultural extension value chain-based models for smallholder African farmers. Front. Agr. Sci. Eng. , 2020, 7(4): 418-426.
 链接本文:  
https://academic.hep.com.cn/fase/CN/10.15302/J-FASE-2020358
https://academic.hep.com.cn/fase/CN/Y2020/V7/I4/418
Fig.1  
Fig.2  
Crop CDPs TAPs CPs Average LSD (5%)
Ethiopia
Maize 5539 4858 3573 4657 355
Wheat 5160 4160 2603 3974 230
Barley 4841 3438 2388 3556 440
Sorghum 4180 3295 2554 3343 393
Teff 2519 2048 1737 2101 64
Nigeria
Rice 6148 5505 4269 5307 133
Maize 4823 4272 2438 3844 69
Groundnut 1317 1017 897 1077 45
Tab.1  
Priority crop CDPs MAPs TAPs CPs LSD (5%)
Rice 6148 5786 5505 4269 133
Maize 4823 4984 4272 2438 69
Groundnut 1317 1393 1017 897 45
Tab.2  
Variable CDPs MAPs TAPs CPs
Rice
Grain yield/(kg·ha1) 6148 5786 5505 4269
Production costs (NN·ha1) 181300 176175 165407 197635
Revenue/(NN·ha1) 737760 694320 660600 512280
Profit/(NN·ha1) 556460 518145 495193 314645
Cost benefit ratio 3.07 2.94 2.99 1.59
Internal rate of Return (%) 206.93 194.11 199.38 59.21
Maize
Grain yield/(kg·ha1) 4823 4984 4272 2438
Production costs/(NN·ha1) 185200 150175 143000 101098
Revenue/(NN·ha1) 409955 423640 363120 207230
Profit/(NN·ha1) 224755 273465 185969 106132
Cost benefit ratio 1.21 1.82 1.30 1.05
Internal rate of Return (%) 21.36 82.09 30.05 4.98
Tab.3  
1 M Lemma, B Gebremedhin, D Hoekstra, A Bogale. Current status of agricultural extension services for market oriented agricultural development in Ethiopia: results from a household baseline survey. African Research Review, 2016, 10(3): 1–20
https://doi.org/10.4314/afrrev.v10i3.1
2 B E Swanson, R P Bentz, A J Sofranko. Improving agricultural extension. A reference manual. 3rd ed. Rome, Italy: Food and Agricultural Organization (FAO), 1997
3 F Paulo. The politics of education: culture, power, and liberation. In: International Livestock Research Institute (ILRI). Greenwood Publishing Group: Education, 2008, 1064–8615
4 P Anandajayasekeram, R Puskur, Workneh Sindu, D Hoekstra. Concepts and practices in agricultural extension in developing countries. Washington, DC: International Food Policy Research Institute (IFPRI), International Livestock Research Institute (ILRI), 2008, 275
5 B Fofana, M C S Wopereis, A Bationo, H Breman, A Mando. Millet nutrient use efficiency as affected by natural soil fertility, mineral fertilizer use and rainfall in the West African Sahel. Nutrient Cycling in Agroecosystems, 2008, 81(1): 25–36
https://doi.org/10.1007/s10705-007-9146-y
6 B Fofana, H Breman, R J Carsky, H Van Reuler, A F Tamelokpo, K D Gnakpenou. Using mucuna and phosphorus fertilizer to increase maize grain yield and nitrogen fertilizer use efficiency in the coastal savanna of Togo. Nutrient Cycling in Agroecosystems, 2004, 68(3): 213–222
https://doi.org/10.1023/B:FRES.0000019457.43677.08
7 K A Gomez, A A Gomez. Statistical procedures for agricultural research. Brisbane, Australia: An International Rice Research Institute, John Wiley, 1984
8 L Halos-Kim. Enterprise-Oriented Postharvest & Agro-processing Models. Addis Ababa, Ethiopia: Sasakawa Africa Association (SAA), 2019
9 L Halos-Kim, T Mado. Improving postharvest systems—promoting agro-industrial development in Africa. An account of the SAA agro-processing program (1994–2004). Addis Ababa, Ethiopia: Sasakawa Africa Association (SAA), 2005
10 B Fofana, A Tamélokpo, M C S Wopereis, H Breman, K Dzotsi, R J Carsky. Nitrogen use efficiency by maize as affected by a mucuna short fallow and P application in the coastal savanna of West Africa. Nutrient Cycling in Agroecosystems, 2005, 71(3): 227–237
https://doi.org/10.1007/s10705-004-5084-0
11 M C S Wopereis, A Tamélokpo, K Ezui, D Gnakpénou, B Fofana, H Breman. Mineral fertilizer management strategies for maize on farmer fields with differing in organic input history in northern Togo. Field Crops Research, 2006, 96(2–3): 355–362
https://doi.org/10.1016/j.fcr.2005.08.004
12 A Bandaogo, B Fofana, S Youl, E Safo, R Abaidoo, O Andrews. Effect of fertilizer deep placement with urea supergranule on nitrogen use efficiency of irrigated rice in Sourou Valley (Burkina Faso). Nutrient Cycling in Agroecosystems, 2015, 102(1): 79–89
https://doi.org/10.1007/s10705-014-9653-6
13 L Halos-Kim. Enabling Smallholder Producers Capture the Economic Benefit of Food Value Chain. Presented at the 11th Regional Conference of SEAAFSRE Innovation System Perspective in Agriculture and Rural Development for Smallholder Farmers’. Pretoria, South Africa. November 19–21, 2012
14 L Halos-Kim. Strategies to improve the adoption of postharvest handling and agro-processing technologies in Africa. Ethiopian Journal of Applied Science and Technology, 2013, 1(41): 41–50
15 R J Bawden. Systematic development: a learning approach to change. Occasional paper No. 1. Penrith, Australia: Centre for Systematic Development, University of Western Sydney Hawkesbury Richmond Australia, 1995
16 J A Kwarteng, N. Deola African Journal of Food, Agriculture, Nutrition and Development. Ghana: Public-private partnership for responsive extension education: the case of SAFE and UCC, 2016, 16(1), 1–16
17 A Kanté. An assessment of the Sasakawa Africa Fund for Extension Education’s (SAFE) training program in Mali: graduates’ perceptions of the training’s impact as well as opportunities and constraints related to supervised enterprise projects (SEPs). Dissertation for the Doctoral Degree. Stillwater, USA: Oklahoma State University, 2010
18 L E C Developing. DLEC Project. Mali: In-depth Assessment of Extension and Advisory Services, USAID, 2018
19 J Kwarteng, S. Akuamoah-Boateng Mid-career extension graduates’ perceptions of the impact of a demand-driven, extension curriculum in Ghana. Australian Journal of Adult Learning, 2012, 52(2): 257–276
20 N Deola, M Akeredolu, I Oladele. Capacity Development for Scaling up Climate Smart Agriculture: the SAFE Model of Experiential Learning. In: SASAE & AFAAS Proceedings of the Joint AFAAS Africa Wide Extension week & SASAE 53rd Annual Conference. Durban, Kwazulu Natal Pronvince, South Africa, 2017
[1] FASE-20358-OF-FB_suppl_1 Download
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed