AfricaRice articles in journals

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Genetic variation and population structure of the rice accessions maintained in the AfricaRice genebank using DArTseq
(Journal Article, 2025-02-01) Gouda, A.C.; Sangare, J.R.; Gnikoua, K.; Wambugu, P.; Huggins, T.D.; Ndjiondjop, Marie-Noelle
Utilizing the full potential of rice collections mainly depends on an in-depth exploration and understanding of the vast diversity in its germplasm. The AfricaRice genebank holds the largest collection of rice germplasm originating from the African continent. In the present study, we comprehensively characterized a collection of 9013 accessions, including Oryza barthii A. Chev., Oryza glaberrima Steud., Oryza longistaminata A. Chev. & Roehr., Oryza sativa L. ssp. indica, and Oryza sativa L. ssp. japonica, for genetic diversity and population structure using genotyping-by-sequencing through DArTseq analysis. We identified 27,718 high-quality single nucleotide polymorphism markers after the genotypic data were filtered. Based on the analyses, the collection has extensive genetic diversity, and the average genetic distance of the entire set was 0.267 (range 0.001–0.469), with 45.1% of pairs of accessions being highly distant and 40.1% moderately distant from each other. Neighbor-joining tree, principal component, and Bayesian population structure analyses clustered the 9013 accessions into six groups, based roughly on their taxonomic and biological status. The first, second, and third groups consisted of accessions belonging to O. glaberrima, O. barthii, and O. longistaminata, respectively. The fourth, fifth, and sixth groups were improved-indica, japonica, and traditional-indica accessions, respectively. The highest value of genetic variance proportion (PhiPT) was found in the species group followed by groups based on cluster analysis and on Bayesian population structure at K = 6. These results allow us to better understand the genetic diversity present in 9013 rice accessions maintained in the AfricaRice genebank and offer a valuable tool for pre breeding, breeding, and further genetic applications.
Integrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmers
(Journal Article, 2024-12-01) Thong Nguyen-Huy; Kath, J.; Kouadio, L.; King, R.; Mushtaq, S.; Barratt, J.
Drought undermines the financial sustainability of farmers. While farmers have adopted various strategies to mitigate some drought impacts, they remain exposed to substantial drought risk. Insurance could be useful in managing climatic risks and for encouraging farmers to take sensible risks (e.g., changing their sowing date to increase yield), but it can be costly. Here, we tested whether the integration of a change in sowing date with rainfall index-based insurance could improve farmer profitability and income stability. We used the Agricultural Production Systems Simulator (APSIM)-Cotton model to simulate cotton lint yields for various sowing dates, taking into account different management strategies, across three dry-land cotton research farm sites – Dalby, Goondiwindi, and Theodore – from 1940 to 2022. We designed the index-based insurance payout when the average rainfall received during the growing season falls below a predefined level, such as the 5th, 10th, or 20th percentile of rainfall. Our study, which involved 3.9 million cotton lint simulations and 3,000 rainfall indexbased insurance products, showed that combining a shift in sowing date with insurance can lead to an income improvement of up to 21.5% at some study sites. Additionally, in drought years, the income improvement for farmers who combined optimal sowing dates with rainfall index-based insurance was up to 48.0%. The framework developed in this study could aid in devising financial strategies to enhance farming resilience during climate extremes.
Improving rice yield and water productivity in dry climatic zones of West Africa: Season-specific strategies
(Journal Article, 2024-08-01) Johnson, J.M.; Becker, M.; Dossou-Yovo, Elliott Ronald; Saito, Kazuki
Context: Irrigated lowland systems contribute most to rice production in sub-Saharan Africa and play a critical role in meeting the increasing rice demand. However, in dry areas of West Africa, negative effects associated with climate change and widespread water scarcity hamper efforts to increase the productivity of irrigated rice. Quantifying rice yields and water productivity and identifying the drivers for the prevailing variability can aid in the targeting and dissemination of appropriate soil, water, and crop management practices. Objective: The main objectives of this research were: (i) to quantify the rice yield gap in representative irrigated systems in dry areas of West Africa, both in wet and dry seasons, and identify factors that can contribute to narrowing the gap, and (ii) to assess the trade-offs or synergies between productivity and resource (water and fertiliser) use efficiency. Methods: We monitored 203 and 192 smallholder farmers’ fields in the wet and dry seasons, respectively, in four contrasting irrigation schemes in Burkina Faso from 2018 to 2020 and assessed key performance indicators (grain yield, water productivity, and nutrient use efficiency). We calculated rice yield gaps (difference between exploitable and actual farmer yields) and identified the drivers of variability of yield and water productivity using machine learning and Shapley Additive exPlanations (SHAP) feature importance. Results: Indicators of productivity and sustainability differed between irrigation schemes and seasons. Rice yield was higher in wet (5.3 Mg ha− 1 ) than in dry seasons (3.7 Mg ha− 1 ), while the variability was higher in the dry (CV = 46%) than in the wet seasons (CV = 29%). Also, the yield gap was slightly higher in the dry (36%) than in the wet seasons (31%). While differences in the number of seedlings per hill and the source of seeds were the key drivers of yield variability in wet-season rice, the split of N fertilizer applications, bird control, and the soil dryness index were the most important in dry-season rice. Furthermore, within seasons, high-yielding fields had higher water productivity, and N, P, and K use efficiencies. Conclusion: These findings suggest that rice yields can be increased without trade-offs with water productivity and nutrient use efficiencies. Significance: This is the first study highlighting the season-specificity of determinants of variability of yield and water productivity in irrigated rice in West Africa. Improved water and fertilizer management can contribute to achieving the dual goal of narrowing the yield gap and improving water productivity, while increasing nutrient use efficiency, particularly in the dry season.
Labour-saving sowing tools for direct dry seeding of rice in Madagascar
(Journal Article, 2024-10-16) Andriatsiorimanana, A.; Mujawamariya, Gaudiose; Tefy, Irina Andrianina; Harison Nomenjanahary, Fifaliana; Saito, Kazuki; Senthilkumar, Kalimuthu
Manual rainfed rice sowing is laborious and time-consuming, leading to delayed crop establishment due to labour shortage. To increase production and productivity, we proposed introducing single-row rotary seeders (for dibbling seeds) and fertiseeders (for simultaneous dibbling seeds and fertilizer) for smallholders. We evaluated ‘CFFAMMA seeder’ (already developed seeder by CFFAMMA), ‘New seeder’ (a newly designed seeder), and a fertiseeder in terms of sowing time, crop establishment, and yield in Madagascar. We also obtained farmers’ feedback on the machines’ effectiveness, desirability, their willingness to use, and to pay for it (farmer participatory approach). Finally, we evaluated the profitability of using these machines under rainfed conditions. On-farm experiments across four locations in the central highlands of Madagascar revealed up to 82% time savings using seeders and fertiseeder over two seasons compared with manual methods. The CFFAMMA seeder outperformed the other two, with similar numbers of missing hills, yield, and benefit–cost (B:C) ratios to manual sowing. Despite farmers’ desire to adopt seeders (96%), high cost of equipment acquisition remains a significant obstacle: farmers’ willingness to pay per unit of the equipment (US$8–11); actual price ($68–81). Addressing this financial burden is crucial for wider adoption. Though the seeders and fertiseeder achieved >80% time reduction for sowing and comparable yields to manual methods, fine-tuning of the tools for technical efficiency is also required for wider adoption.
Alternate wetting and drying: a water‑saving technology for sustainable rice production in Burkina Faso?
(Journal Article, 2024-06-29) Johnson, J.M.; Becker, M.; Kabore, J.E.; Dossou-Yovo, Elliott Ronald; Saito, Kazuki
With emerging water scarcity and rising fertilizer prices, optimising future water use while maintaining yield and nutrient efficiency in irrigated rice is crucial. Alternate wetting and moderate soil drying irrigation (i.e., re-irrigation when the water level reaches 15 cm below the soil surface) has proven to be an efficient water-saving technology in semi-arid zones of West Africa, reducing water inputs without yield penalty. Alternate wetting and severe soil drying (AWD30), by re-irrigating fields only when the water table reaches 30 cm below the soil surface, may further reduce water inputs compared to farmers’ irrigation practices (FP). However, acute soil drying may impair fertilizer use efficiency and reduce the bio-availability of some key nutrients. This study assessed the potentials and risks associated with AWD30 for smallholder rice farmers in the semi-arid zones of West Africa. We conducted 30 on-farm field trials over three seasons (wet and dry seasons of 2019, and dry season of 2020), in Kou Valley, Burkina Faso. We assessed yield, water productivity, nutrient uptake, and use efficiency under AWD30 and FP. In FP, farmers maintained their fields submerged as frequently as possible according to the scheme-dependent water provision schedule. With AWD30, irrigation frequency was reduced by 30%, however, soils were seldom completely dried due to a shallow groundwater table. Compared to FP, AWD30 reduced irrigation water input by 37% with no significant effects on grain yields (average of 4.5 Mg ha−1), thus increasing average water productivity by 39%. Both irrigation management practices provided comparable crop uptake of N, P, and K, and use efficiencies of applied N and P. However, the N content in straw and the P concentration in grain generally increased with total water input (rain + irrigation). We conclude that at locations with a shallow groundwater table, AWD30 can effectively save irrigation water without significantly reducing the grain yield and the use efficiency of applied mineral nutrients.
Enhancing rice yields, water productivity, and profitability through alternate wetting and drying technology in farmers’ fields in the dry climatic zones of West Africa
(Journal Article, 2024-11-01) Johnson, J.M.; Becker, M.; Dossou-Yovo, Elliott Ronald; Saito, Kazuki
Factors affecting the adoption of climate-smart agriculture technologies in rice farming systems in Mali, West Africa
(Journal Article, 2023-10-30) Sanogo,K.; Toure, I.; Arinloye, D.-D.A.A.; Dossou-Yovo, Elliott Ronald; Bayala, J.
Rice is a major staple crop in Mali, yet it is very vulnerable to climate change. Climate-Smart Agriculture (CSA) has been proposed as a solution to simultaneously address the challenges of climate change adaptation, mitigation, and food security. However, there is limited understanding of the factors that influence farmers’ decisions to adopt CSA practices in Malian rice farming systems. This study aimed to identify CSA practices in rice farming systems and determine the factors that drive farmers’ adoption. We conducted interviews with 440 rice producers, 70% of which were women, and organized 16 focus group discussions (FGDs), including nine exclusively for women, in the Sikasso region of Mali. Data was collected through interviews, surveys, and FGDs. We conducted surveys using a questionnaire and the FGDs and interviews followed a standardized guide. Descriptive statistics were used to explore the data, and we analyzed the factors influencing the adoption of CSA technologies using a logistic regression model. The findings showed that crop diversification, improved rice varieties, crop rotation, tree planting, micro-doses of organic manure, and micro-doses of mineral fertilizer were highly adopted CSA practices in the study area. Key barriers to the successful adoption of CSA practices included limited input availability, lack of control over technologies, insufficient labor availability, insufficient availability and high cost of seedlings for reforestation, lack of information on developed technologies, and limited land access for women and youth. The adoption of CSA technologies was significantly influenced by social factors such as respondents’ age, education level, experience in rice production systems, gender, marital status, and membership in a rice producer cooperative. The results of this study are valuable for guiding extension services’ approach and implementation to scaling up the adoption of CSA technologies. These findings also underscore the benefit of policies and programs focused on disseminating rice farming system CSA practices.
A gendered analysis of farmers’ access to and willingness to pay for climate information services: Evidence from rice farmers in Mali
(Journal Article, 2024-08-15) Diallo, Aboubacar; Dossou-Yovo, Elliott Ronald
Little is known about the predictors of access to and willingness to pay (WTP) for climate information services (CIS) by smallholder farmers in Mali. This paper addresses this research gap by identifying the opportunities and barriers to the uptake of CIS and analysing the predictors of access to and WTP for CIS from a gendered perspective using primary data collected from 200 rice farmers distributed in four rice-growing environments. We used descriptive statistics and logit regression to do the analysis. We find that crop variety selection was the most taken CIS-informed farm decision by farmers with a larger share for female farmers (65%) relative to their male counterparts (48%). Not clear how CIS can be used to help with farming was the main barrier to the uptake of CIS. Household struggles for food during the farming season, availability of stored seeds, access to irrigation facilities, access to training and radio were the major factors affecting male farmers’ access to CIS while the key predictors of access to CIS by female farmers included availability of stored seeds, access to irrigation facilities, remittances and access to radio. Male farmers’ WTP for CIS was mainly influenced by access to training and radio, while experience in rice farming and social organisation membership were the key determinants for female farmers’ WTP for CIS. The results from this study can be used by research and development organizations to design gender inclusive CIS to enhance adoption of climate smart agriculture practices, and farmers resilience to climate change.
Adoption of ICT4D and its determinants: A systematic review and meta-analysis
(Journal Article, 2024-05-15) Amoussouhoui, R.; Arouna, Aminou; Ruzzante, S.; Banout, J.
Various Digital Agricultural Technologies (DAT) have been developed and implemented around the world. This study aims to estimate the overall adoption rate and identify the determinant factors for a better adoption perspective after decades of innovation and dissemination. A systematic review was conducted on published studies that reported adoption rates and determinant factors using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. We used meta-regression and the partial correlation coefficient to estimate the effect size and establish the correlation between socioeconomic characteristics and the adoption of various technologies reported. Fifty-two studies with 32400 participants met the selection criteria and were included in the study. The results revealed an overall pooled adoption rate of 39 %, with the highest adoption rates in developing countries in Africa and South America. Socioeconomic factors such as age, education, gender, and income were found to be the main determinants and should be considered when designing technology for sustainable adoption. The study also found that young farmers were more susceptible to adoption. Moreover, farmers with higher income levels and educational attainment are more likely to use technology linked to agricultural production, market access, and digital advising, implying that high-income farmers with more education are more tech-savvy. However, this does not exclude low-income and low-educated farmers from adopting the technologies, as many models and strategies with socioeconomic considerations were developed. It is one of the reasons behind the underlying enthusiasm for digital agricultural adoption in low and middle-income countries.
Ratoon rice research: Review and prospect for the tropics
(Journal Article, 2024-06-15) Saito, Kazuki; Dossou-Yovo, Elliott Ronald; Ibrahim, Ali
Context: With increasing labor shortage and production costs, water scarcity and climate change, there is increased interest in ratooning as a green, resource-efficient technology to boost sustainable rice production, especially in China. Since the performance of ratoon rice (regenerating a second crop from the stubble left in the fields after the main harvest) and the impact of agronomic practices on its yield have shown mixed results across the world, a better understanding is needed to determine under which conditions ratoon rice performs well. Objective: The objectives are (i) to quantify variation in rice yield of main and ratoon crops, (ii) to assess genetic variation in and impact of agronomic practices on rice yield, focusing on the yield of ratoon crop and total yield (main and ratoon crops), and (iii) review of economic and environmental benefits of ratoon rice in comparison with single and double rice cropping. Methods: In researching ratoon rice, we compiled a database from 68 studies published from 2000 to 2023. Descriptive data analysis was performed. Results: Studies from non-tropical regions account for about 70%. Large variation exists in the yield of ratoon crop across the studies, with lower yield from the tropics than non-tropics. The ratio of yield of ratoon crop to that of main crop also varied widely from 0.13 to 0.67 with 0.36 and 0.5 in tropics and non-tropics, respectively. The yield of ratoon crop was positively related to the yield of main crop, crop duration and nitrogen fertilizer application rate, which were generally higher in non-tropics. Hybrid varieties out-yielded inbred varieties in both main and ratoon crops in non-tropical regions. Direct seeding and AWD had a positive impact on the yield of ratoon crop. The impact of stubble cutting height was mixed. While agronomic nitrogen use efficiency (AEN) during entire ratoon rice cropping was similar to that reported for single rice cropping in previous studies, AEN for ratoon crop in tropical regions tended to be lower than those from previous studies on single rice cropping. Ratoon rice cropping reduced labor input and production cost and increased net economic return compared with double rice cropping. Conclusions: We propose a research agenda, with the focus on improvement of genetic and agronomic practices to explore the potential of ratoon rice cropping, especially in the tropics. Implications: This study provides insight into the progress in ratoon rice research over the past two decades globally, and specifically in the tropics.
Assessing the spatial distribution patterns of suitable inland valleys for rice development: a case study of two contrasting regions in Benin
(Journal Article, 2024-05-17) Djagba, J. F.; Dossou‑Yovo, E. R.; Sintondji, L. O.; Vissin, E. W.; Zwart, Sander Jaap
To increase rice production in Africa, both intensification and area expansion are needed. Inland valley (IV) agroecosystems are important for rice production due to their relatively high water availability and soil fertility. However, the spatial distribution of suitable IVs remains uncertain. The objective of this study was to model spatial distribution patterns of suitable IV areas for rice production. Biophysical, socioeconomic and management practice data were collected from 242 IVs in two contrasting regions in Benin, namely, the Departments of Mono and Couffo (Mono-Couffo) and the Upper Ouémé River catchment (Upper Ouémé). Geographically weighted regression (GWR) and ordinary least squares (OLS) models were used to predict the spatial distribution of suitable IV areas for rice production. The results showed that the GWR model performed better than the OLS model in assessing the IV suitability spatial distribution. There were 177,714 ha (46%) and 431,954 ha (31%) of highly suitable IVs for rice production in Mono-Couffo and Upper Ouémé, respectively. The most significant variables for predicting suitable IV areas for rice production were irrigation water resources, soil fertility management and total nitrogen in topsoil in Mono-Couffo and the number of male farmers in the IV, shallow water table duration at the IV bottom, and elevation in Upper Ouémé. These results demonstrated the effectiveness of the GWR model in assessing the distribution of highly suitable IVs.
Sustainability in the Food-Water-Ecosystem Nexus: The Role of Land Use and Land Cover Change for Water Resources and Ecosystems in the Kilombero Wetland, Tanzania
(Journal Article, 2017-08-24) Leemhuis C.; Thonfeld F.; Näschen K.; Steinbach S.; Muro J.; Strauch A.; López A.; Daconto G.; Games I.; Diekkrüger B.
Land Use Land Cover Change (LULCC) has a significant impact on water resources and ecosystems in sub-Saharan Africa (SSA). On the basis of three research projects we aim to describe and discuss athe potential, uncertainties, synergies and science-policy interfaces of satellite-based integrated research for the Kilombero catchment, comprising one of the major agricultural utilized floodplains in Tanzania. LULCC was quantified at the floodplain and catchment scale analyzing Landsat 5 and Sentinel 2 satellite imagery applying different adapted classification methodologies. LULC maps at the catchment scale serve as spatial input for the distributed, process-based ecohydrological model SWAT (Soil Water Assessment Tool) simulating the changes in the spatial and temporal water balance in runoff components caused by LULCC. The results reveal that over the past 26 years LULCC has significantly altered the floodplain and already shows an impact on the ecosystem by degrading the existing wildlife corridors. On the catchment scale the anomalies of the water balance are still marginal, but with the expected structural changes of the catchment there is an urgent need to increase the public awareness and knowledge of decision makers regarding the effect of the relationship between LULCC, water resources and environmental degradation.
Factors Affecting the Adoption and use of NERICA Varieties among Rice Producing Households in Ghana
(Journal Article, 2013) Asante, B.O.; Wiredu, A.N.; Dogbe, W.; Asuming-Boakye, A.; Frimpong, B.N.; Haleegoah, J.; Nortey, J.; Diagne, A.
This paper uses cross sectional data which were collected from 200 smallholder rice producers in Ghana, to examine the factors influencing the adoption and extent of use of NERICA rice varieties in Ghana. About 57.93 per cent of the sampled rice producers allocated 35.77 per cent of their land to NERICA accounting for about 33.13 per cent of seeds planted. The Tobit regression model suggests fertilizer use, existence of other complementary projects in the area, proportion of active persons in household, access to alternative income sources, distance to seed source and education as key factors influencing the quantity of seeds planted as well as the proportion of land allocated to the NERICA varieties. With the exception of distance to seed source, all the other factors positively influenced the extents of adoption. The findings suggest the need to ensure availability of NERICA seeds within acceptable distances to farming communities. This could be achieved through identification of certified rice seed growers in strategic locations throughout the country and supported with necessary logistics to produce NERICA seeds at reasonable proximities to rice producing communities. This could also be enhanced through establishment of linkages with existing institutions and projects to compliment promotional efforts.
Decision support tools for agricultural adaptation in Africa
(Journal Article, 2024-03-05) Rosenstock, Todd S; Joshi, Namita; Segnon, Alcade C; Cramer, Laura; Mwongera, Caroline; Nowak, Andreea C.; Njuguna, Lucy; Dossou-Yovo, Elliot R.; Steward, Peter; Ramirez-Villegas, Julian
Extensive and strategic investments are needed to adapt African agriculture to climate change. In 2020, US$2.8 billion were committed to adaptation in the agriculture, forestry and land use sector. This figure is likely to rise as the public and private sectors focus efforts on national commitments towards the Paris Agreement (the so-called Paris Alignment) and all African countries prioritize agricultural adaptation. Design of adaptation investments may be informed by the many web-based decision support tools (DSTs) available. Effective DSTs enable access to the latest science and data, potentially increasing the efficacy and impact of adaptation programming. However, the actual utility of DSTs remains a question.
Twenty-five rice research priorities for sustainable rice systems by 2050
(Journal Article, 2024-04-15) Edwards, Glory I.; Nelson, Katherine; le Clec'h, Solen; Luu, Tang; Coast, Onoriode; Futakuchi, Koichi; Kok, Kasper
Non-technical Summary: Agricultural research is vital for sustainable food production, amid changing challenges. To address these challenges effectively and achieve sustainable food systems, researchers and funding bodies have to prioritize research efforts. We conducted horizon scanning to determine how rice systems might change by 2050 and to identify key research gaps. The study involved 101 rice experts from 31 countries who rated the research gaps based on novelty and relevance. The top 25 research gaps encompass sustainability, agricultural development, rice crop science (including genetics, breeding, and physiology), and policies. Addressing these research gaps will contribute toward the sustainability of rice systems. Technical Summary: Agricultural research and development (AgR&D) is crucial for increasing productivity while preserving natural capital and ensuring sustainable food security. Traditional AgR&D approaches along monodisciplinary lines often have unintended consequences and trade-offs, which can be avoided through integrated and interdisciplinary approaches. One such approach is horizon scanning. We conducted a horizon-scanning activity to identify research gaps to be prioritized for sustainable rice systems by 2050. The horizon scan involved a global and diverse panel of rice experts (101 from 31 countries). The panel responded to questionnaires on the drivers, projections, and research needs for rice AgR&D. Afterward, research gaps were rated on their relevance and novelty to sustainable rice systems. We identified the top 25 research gaps under four themes: sustainability interactions, agricultural development, genetics, breeding and crop physiology, and governance and policies. These gaps highlight research that needs to be prioritized to achieve sustainable rice systems that enhance resilience, conserve biodiversity, and promote socio-economic well-being.
Intensifying rice production to reduce imports and land conversion in Africa
(Journal Article, 2024-01-27) Yuan, Shen; Saito, Kazuki; van Oort, Pepijn A. J.; Ittersum, Martin K. van; Peng, Shaobing; Grassini, Patricio
Africa produces around 60% of the rice the continent consumes, relying heavily on rice imports to fulfill the rest of the domestic demand. Over the past 10 years, the rice-agricultural area increased nearly 40%, while average yield remained stagnant. Here we used a process-based crop simulation modelling approach combined with local weather, soil, and management datasets to evaluate the potential to increase rice production on existing cropland area in Africa and assess cropland expansion and rice imports by year 2050 for different scenarios of yield intensification. We find that Africa can avoid further increases in rice imports, and even reduce them, through a combination of cropland expansion following the historical trend together with closure of the current exploitable yield gap by half or more. Without substantial increase in rice yields, meeting future rice demand will require larger rice imports and/or land conversion than now.
Consumer preferences for rice in East Africa
(Journal Article, 2023-03-23) Twine, Edgar E.; Ndindeng, S.A.; Mujawamariya, G.; Adur-Okello; Kilongosi, C.
Purpose – Improving the competitiveness of East Africa’s rice industries necessitates increased and viable production of rice of the quality desired by consumers. This paper aims to understand consumer preferences for rice quality attributes in Uganda and Kenya to inform the countries’ rice breeding programs and value chain development interventions. Design/methodology/approach – Rice samples are obtained from retail markets in various districts/ counties across the two countries. The samples are analyzed in a grain quality laboratory for the rice’s physicochemical characteristics and the resulting data are used to non-parametrically estimate hedonic price functions. District/county dummies are included to account for potential heterogeneity in consumer preferences. Findings – Ugandan consumers are willing to pay a price premium for rice with a relatively high proportion of intact grains, but the consumers discount chalkiness. Kenyan consumers discount high amylose content and impurities. There is evidence of heterogeneity in consumer preferences for rice in Mbale, Butaleja and Arua districts of Uganda and in Kericho and Busia counties of Kenya. Originality/value – The study makes a novel contribution to the literature on consumer preferences for rice in East Africa by applying a hedonic pricing model to the data generated from a laboratory analysis of the physicochemical characteristics of rice samples obtained from the market. Rather than base our analysis on consumers’ subjective sensory assessment of the quality characteristics of rice, standard laboratory methods are used to generate the data, which enables a more objective assessment of the relationship between market prices and the quantities of attributes present in the rice samples.
A participatory framework for prioritizing climate-smart agriculture innovations in rice-based systems: A case study of Mali
(Journal Article, 2024-03) Dossou-Yovo, Eliott Ronald; Arouna, Aminou; Benfica, Rui; Mujawamariyac, Gaudiose; Yossad, Rodrigue
Alleviating the climate-related constraints faced by agri-food systems in sub-Saharan Africa requires an accelerated adoption of climate-smart agriculture (CSA) innovations by farmers. However, little is known about the best-bet (most appropriate) CSA innovations, and the enabling conditions for their widespread adoption in a given biophysical and socioeconomic context. The objectives of this study were to identify the best-bet CSA innovations and the barriers, incentive mechanisms, and roles of institutions in widespread adoption in the four rice growing environments in Mali (irrigated lowlands, rainfed lowlands, rainfed uplands, and submergence systems). Data were collected from stakeholder’s consultations to assess CSA innovations using four climate-smart performance indicators (productivity, income, adaptation, and mitigation) and four implementation feasibility indicators (technology cost, technical feasibility, gender inclusivity, and market demand). The best-bet CSA innovations included drought- and submergence-tolerant rice varieties, perennial rice, and rice-vegetable rotation in irrigated lowlands; drought-tolerant rice varieties, rice-tuber, rice-vegetable, and rice-legume rotations in rainfed lowlands; drought-tolerant rice varieties and mulching in rainfed uplands; and submergence-tolerant rice varieties, perennial rice, and integrated rice-fish in submergence systems. The average perceived adoption level of CSA innovations by farmers in the rice-growing environments was low, ranging from 7 to 19% due to the lack of finance, technical knowledge, machinery, fertilizer, and quality seeds. Governments, farmers’ organizations, and research and academic institutions were identified as critical actors in the wide spread adoption of CSA innovations. The framework used in this study can be used to identify and invest into locally relevant best-bet CSA innovation packages.
Exploring Gender Differences in the Role of Trait Preferences among Stakeholders in the Rice Value Chain in Ghana
(Journal Article, 2023-04-01) Frimpong, B.N.; Asante, M.D.; Prah, S.; Ayeh, S.J.; Sakyiamah, B.; Zenna, Negussie; Mujawamariya, Gaudiose; Tufan, Hale Ann
This paper examines the gendered trait preferences for rice and their role in the adoption of improved rice varieties among men and women rice farmers in Ghana. Four hundred rice farm households and 261 consumers were surveyed across 20 communities using a simple random sampling technique. Kendall’s coefficient of concordance, Tobit, and the multivariate probit regressions were used in the analyses. The results show differences in preferences for cooking quality traits and postharvest traits among men and women farmers. There was also a gender differential in the intensity of purchasing rice among men and women consumers. The results show that rice farmers’ decisions to adopt any of the four varieties—AGRA rice, Jasmine, Togo Marshall, or Amankwatia—are influenced by age, being married or indigenous, years of schooling, off-farm activities, farming experience, household size, farm size, FBO membership, extension contact, market proximity, and access to credit. To improve the rice value chain in Ghana, rice breeding efforts should consider varieties with trait preferences such as being tolerant of pest and diseases, aromatic, early maturing, and tolerance to shattering. However, to enhance the consumption of improved rice varieties, breeding efforts should target varieties that are aromatic, good textured, and have medium-sized grains for female consumers, while for male consumers preferred varieties would be less easily broken, white grain color, translucent, and with short cooking time.
The individual empowerment Index (IEI): A new approach for empowerment measures
(Journal Article, 2023-06-15) Kinkingninhoun Medagbe, F.M.; Floquet, A.; Mujawamariya, G.; Mongbo, R.L.
Over the last three decades, many research works have been conducted to define and measure the complex and composite concept of empowerment. However, an individual empowerment tool is still needed, to be applied for any disadvantaged group, women, youths (male or female), poor, etc., or any economic sector, and which can be more suitable for rigorous impact assessment studies. This paper contributes to the growing empowerment literature by providing a new multi-domain, survey-based empowerment measurement tool, the individual empowerment index (IEI). The IEI is unique in its characterization and construction. It combines individual empowerment scores in six empowerment domains: production, household livelihood, resources, income, leadership, and time allocation. It is a flexible and survey-based empowerment parameter that can be generated at individual, household community or country levels, or for any target social category. The IEI is constructed through a specific methodology based on a scale survey with an ordinal variable principle and a general process for construction of domain indicators. A key advantage of the IEI is that different household members (even husband and wife) can have different IEIs and statuses. Findings from applying the IEI approach to data collected from 1120 West-African lowland rice farmers show that lowland rice farmers globally achieved on average 71% of their full empowerment potential with only 40% of them found to be globally empowered. Female farmers were found to have lower control over their lives and were less than male farmers to be empowered. IEI estimates and comparison between WIEI and other women empowerment indexes estimates show reasonable correspondence despite the difference in the methodology and can hold for the validity of the IEI. The new IEI is a suitable tool and is recommended for quantitative and rigorous impact assessment and monitoring of programs and projects empowerment indicators.

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