Rice Production under the System of Rice Intensification and Conventional Methods: Which is more Profitable in Ghana?
Journal of Experimental Agriculture International,
Some studies consider the System of Rice Intensification (SRI) method of rice production as more profitable than the Conventional method. Others, however, claim that there is no significant difference in yields between the two methods. The mixed representation of the economic value of the two methods of rice production by various authorities demands an empirical examination of the profitability of the two methods in Ghana. The study was, therefore, designed to identify which of the two methods of rice production is more profitable in Ghana. Two-stage sampling technique was used to select 220 farmers, comprising 110 farmers under each of the two methods of rice production which are predominant in Ejura-Sekyedumase Municipality and Sekyere East District of the Ashanti Region of Ghana. The data collected from farmers were summarized using descriptive statistics including arithmetic mean, standard deviation, minimum, maximum, frequencies and percentages. Gross margin and gross profit ratio were used to estimate profitability per acre of rice production under each method. The study revealed that, while farmers under the SRI method obtain GH¢60.68 for every GH¢100.00 sale of rice, farmers under the conventional method obtained GH¢44.04 per every GH¢100.00. The study, therefore, concludes that SRI method of rice production, though a little more costly, is more profitable resulting from a higher yield brought on by the adoption of best agronomic practices associated with the method. Based on the empirical results, the study recommends for the promotion of the System of Rice Intensification method of production in Ghana through awareness creation, extension services and training.
- Conventional method
- system of rice intensification
- rice production
- gross margin
- gross profit ratio
How to Cite
Omari R, Ampadu-Ameyaw R, Owusu EG. Marketing and promotional plan for local rice based on drivers of traders and consumers preferences, FARA Research Report. 2018;3(3).
Azumah SB, Donkoh SA, Awuni JA. The perceived effectiveness of agricultural technology transfer methods: Evidence from rice farmers in Northern Ghana. Cogent Food & Agriculture. 2018;4:1503798.
Toungos MD. System of rice intensification: A review. Int. J. Innovative Agric. Biol. Res. 2018;6:27-28.
Uphoff N, Wegel E, Göhler A, Lagerholm BC, Wainman AS, Kaufmann R, et al. Imaging cellular structures in super-resolution with SIM, STED and Localisation Microscopy: A practical comparison. Scientific reports. 2016; 6:27290.
Boafo YA, Balde BS, Sato O, Gasparatos A, Damlam R, Ouedraogo N, Moussa ZP. Stakeholder perceptions of the impact of reforms on the performance and sustainability of the cotton sector in Ghana and Burkina Faso: A tale of two countries. Cogent Food & Agriculture. 2018;4:1-62.
Shiva V, Bhatt V, Panigrahi A, Mishra K, Tarafdar SV. Seeds of hope, seeds of resilience. Navdanya, New Delhi; 2017.
Hidayat YR, Suciaty T. The comparison analysis of farming income between system of rice intensification (SRI) technology innovation and conventional agriculture system in rice production center in West Java. J. Phys.: Conf. Ser. 2019;1360 012008.
Uphoff N. Developments in the system of rice intensification (SRI). Achieving Sustainable Cultivation of Rice. 2017;2:215-244.
Uphoff N. SRI: An agroecological strategy to meet multiple objectives with reduced reliance on inputs. Agroecology and Sustainable Food Systems. 2017; 41(7):825-854.
Sarangi SK, Maji B. Sustainable rice cultivation in coastal saline soils: A case study in India. Achieving Sustainable Cultivation of Rice. 2017;2: 101-136.
Takahashi K. The roles of risk and ambiguity in the adoption of the system of rice intensification (SRI): Evidence from Indonesia. Food security. 2013;5(4):513-524.
Colquhoun JB, Gevens AJ, Groves RL, Heider D, Jensen B, Nice G, et al. Commercial vegetable production in Wisconsin. Publication A3422; 2016.
Uphoff N, Kassam A, Harwood R. SRI as a methodology for raising crop and water productivity: Productive adaptations in rice agronomy and irrigation water management. Paddy and Water Environment. 2011;9:3-11.
Loukes K. The system of rice intensification (SRI): Complicating the global narrative: An exploratory, qualitative study based on fieldwork in Nepal's Terai (Doctoral dissertation, Queen's University (Canada); 2015.
Dass A, Chandra S, Choudhary AK, Singh G, Sudhishri S. Influence of field re-ponding pattern and plant spacing on rice root–shoot characteristics, yield, and water productivity of two modern cultivars under SRI management in Indian Mollisols. Paddy and Water Environment. 2016;14: 45-59.
Moser CM, Barrett CB. The disappointing adoption dynamics of a yield-increasing, low external-input technology: The case of SRI in Madagascar. Agricultural Systems. 2003;76(3):1085-1100.
Sato S, Uphoff N. A review of on-farm evaluations of system of rice intensification methods in Eastern Indonesia. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources. 2007; 2(54):1-12.
Antralina M, Istina IN, Simarmata T. Effect of different weed control methods on yield of lowland rice in the SOBARI. Procedia Food Science. 2015;3: 323-329.
Na N. The economic theory of ‘managerial’capitalism. Springer; 2016.
(GSS). Ghana living standard survey round 5 (GLSS5). Ghana Statistical Service GSS, Accra, Ghana; 2017.
Saunders M, Lewis P, Thornhill A. Research methods. Business Students, 4th edition, Pearson Education Limited, England; 2007.
Nath DC. Two stage sampling design for estimation of total fertility rate: with an illustration for slum dweller married women. Electronic journal of Applied Statistical Analysis. 2015;8:112-121.
Chaudhary M, Singh VK. Estimating the population mean in Two-Stage Sampling with equal size clusters under Non-Response using Auxiliary Characteristic. Mathematical Journal of Interdisciplinary Science. 2013;2:43-55.
Satyanarayana A, Thiyagarajan TM, Uphoff N. Opportunities for water saving with higher yield from the system of rice intensification. Irrigation Science. 2007; 25(2):99-115.
Shue LY, Chen CW, Shiue W. The development of an ontology-based expert system for corporate financial rating. Expert Systems with Applications. 2009;36(2):2130-2142.
Berkelaar D. SRI, the system of rice intensification: Less can be more. ECHO Development Notes. 2001;10(70):1-7.
Nissanka SP, Bandara T. Comparison of productivity of system of rice intensification and conventional rice farming systems in the dry-zone region of Sri Lanka. In 4th International Crop Science Congress (26th September–1st October, 2004), Brisbane, Australia; 2004.
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