Despite sustained efforts to promote climate-smart technologies in Sub-Saharan Africa (SSA), adoption remains low. At the same time, the downside risks associated with climate change and food insecurity are becoming acute. Improved cowpea varieties are climate-smart and contribute to food and nutrition security. Limited evidence exists, however, regarding how cowpea attributes influence adoption. We use a discrete choice experiment to investigate farmers' preferences and mean willingness to pay (WTP) for cowpea variety attributes. Our results show that farmers' decision to adopt improved cowpea varieties increases in response to the following attributes: higher yields, early maturity, and white seed coat colour. The results indicate that 86% of the sampled farmers prefer climate-smart cowpea. Secondly, while we observe a wide dispersion of WTP among female cowpea farmers relative to male cowpea farmers, participation in cowpea training reduces the dispersion of WTP for both men and women. Moreover, controlling for farmer risk aversion further decreases the dispersion of WTP for all respondents. Our experiment reemphasizes the need for crop breeding programmes to be participatory. Moreover, such programmes would do well to satisfy the demands of different segments of the population based on risk, gender, and geographical characteristics.
Plant breeders’ knowledge of precise traits preferred by variety users would accelerate varietal turnover and widen adoption of newly developed maize varieties in Ghana. The objective of this research was to provide empirical evidence of trait preferences of farmers and other actors in the maize value chain in northern Ghana, based on which research strategies for maize improvement could be formulated. Participatory rural appraisal was conducted in 2016 to determine key traits preferred by maize value chain actors across the three regions in northern Ghana. A total of 279 maize value chain actors were interviewed. Different scoring and ranking techniques were used to assess the maize traits preferred by the different actors. Participatory variety selection trials were also conducted in the Tolon, West Gonja, Binduri, and Sissala East districts in northern Ghana from 2014 to 2016. The mother-baby trial approach was used to evaluate eight hybrids with 3000 farmers. Data on yield and agronomic performance of the hybrids and farmer’s selection criteria were collected. Data analyses were performed using GenStat Edition 16 and SPSS Edition 20 statistical packages. The participatory rural appraisal method identified farmers, input dealers, traders, and processors as the primary maize value chain actors in the study areas. Trait preferences of the different actors overlapped and revolved around grain quality including nutritional value, and stress tolerance and grain yield. Results of the participatory variety selection study revealed that across districts, farmers preferred high-yielding varieties with multiple cobs per plant, white grain endosperm color, and bigger and fully filled cobs. For the first time, our holistic assessment of the trait preferences of key actors of the maize value chain in northern Ghana revealed a comprehensive list of traits, which could be used by breeders to develop varieties that may be preferred by all value chain actors in northern Ghana.
This study was carried out to identify and select local and improved cassava varieties suitable for cultivation in the transition and Guinea savannah agroecology of Ghana against climate change. Two agroecologies; transition and Guinea savannah ecologies were considered for the study. Four cassava growing communities were chosen in the transition zone whilst three cassava growing communities were chosen for the Guinea savannah ecology. The cassava varieties representing the treatments were arranged in a randomized complete block design with three replications at each location. A total of 13 cassava varieties were used for the study. Cassava cuttings measuring 20-25 cm were planted using a spacing of 1m × 1m. Harvesting was done at 12 months after planting to assess storage root yield of the cassava varieties at the different locations. Analysis of variance indicated significant (P≤ 0.05) varietal differences among the local varieties for root yield (11.25 - 29.27 t/ha), harvest index (0.46 – 0.75), storage root number per plant (2 - 8 roots/plant) and mean storage root weight (307.0 - 972.4 g) in Transition zone. However, there were no significant varietal differences between the improved varieties for root yield. The best performing improved varieties in the transition zone were Bankyehemaa (28.06 t/ha), Eskamaye (27.76 t/ha) and Nkabom (26.99 t/ha) whilst Filindiakong (22.65 t/ha) and Nyerikobga (31.17 t/ha) were identified to be suitable for the Guinea savannah ecology. Therefore, these cassava varieties can be cultivated to mitigate the effects of climate change on cassava and ensure food security.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.