Skip to main content

Cowpea cropping systems, traits preference and production constraints in the upper west region of Ghana: farmers' consultation and implications for breeding

Abstract

Background

Cowpea (Vigna unguiculata (L.) Walp) is used primarily as food for humans and feed for animals. It is also used for soil management within a cropping system. However, cowpea production is confronted with numerous challenges. As such farmers and consumers alike have certain preferences in terms of production and utilization. This present study investigated cowpea cropping systems, traits preference and production constraints among farmers in the Nandom, Lambusie and Lawra districts in the northern part of the Upper West Region of Ghana. A total of 306 farming households were sampled from the 3 chosen districts. Questionnaires and interviews were used for data collection. The IBM SPSS software, version 22, was employed to analyze the data using descriptive statistics, specifically frequencies, percentages and crosstabulations.

Results

The study’s results indicated that a majority (58.5%) of the cowpea farmers practice intercropping, whereas a minority (41.5%) practice sole cropping. The farmers intercropped cowpea with maize, millet, sorghum and yam. Farmers preferred cowpea varieties with the following traits: high yield, drought tolerance, early maturing, pest resistance, improve soil fertility, high price, high demand, better taste, less cooking time, storage quality, palatability and fast growing. Farmers indicated that susceptibility to storage pests, high pest incidence, late maturity, difficulty in harvesting, high input cost, small grain size, low yield, high disease incidence, poor colour, lack of improved variety, and drought are some constraints that hinder cowpea production.

Conclusion

Results indicate a need for behavioural change communication to assist cowpea farmers to adopt improved and appropriate cropping systems. Farmers should be involved in cowpea technology development in order to understand their preferences and constraints to enable subsequent adoption of such technologies. The results from this study call for an interdisciplinary committee to plan and breed cowpea varieties that meet the needs of the farmers.

Background

Cowpea (Vigna unguiculata (L.) Walp) is a versatile crop used as food for humans, feed for farm animals and as a soil fertility improvement/maintenance crop (in inter-crop with cereals) is widely cultivated in Africa, Asia and America (Osipitan et al. 2021). The crop is believed to have originated from Africa before 2500 BCE (Herniter et al. 2020). Some studies via carbon dating in Ghana suggest that cowpea cultivation started prior to or between 2500–1500 BC (D’Andrea et al. 2007; Herniter et al. 2020). A total production of 8 million tons with an average yield of 1.4 tons/ha was reported in 2019 globally (Database 2021). Out of this, Africa accounts for 96.7% with Ghana ranking fourth to Nigeria, Niger and Burkina Faso (Omomowo and Babalola 2021; Osipitan et al. 2021).

The production of the crop is on the ascendency due to its relative ability to withstand drought compared to other legumes such as soybean and groundnut (Cui et al. 2020; Matsui and Singh 2003; Ravelombola et al. 2020). These make cowpea an important cash crop for farmers and their families around the world (Langyintuo et al. 2003). Cowpea is an excellent source of protein, fiber and micronutrients such as iron, zinc, magnesium, and calcium as well as rich essential amino acids (lysine and tryptophan) and vitamins (A, B and C) (Gonçalves et al. 2016; Osipitan et al. 2021). It is also a good source of bioactive compounds such as flavonoids and phenolics making it useful for its antioxidant property (Razgonova et al. 2022; Yadav et al. 2018). In terms of culinary uses, cowpea is used in stews, soups, and curries and also ground into flour and used to make a variety of baked goods (Yadav et al. 2018).

In Ghana, cowpea is grown largely in dry savanna zones where there is unimodal rainfall pattern between May and September with rainfall range of 500–1200 mm (Atiah et al. 2021). The northern Ghana produces ≈ 85% grain cowpea (Herniter et al. 2019), however this is inadequate for national demand leading an importation of significant quantity to balance the deficit (Quaye et al. 2011).

The crop is reported to be used primarily for soil management in United States (Osipitan et al. 2021). In Nigeria, the crop is used in relay cropping and mixed cropping (Mohammed et al. 2021). It is mostly intercropped with cereals like maize, sorghum and pearl millet (Akpalu et al. 2014; Ewansiha et al. 2014a; Horn and Shimelis 2020). The intercropping system reduces the use of synthetic fertilizers due to the ability of cowpea to convert and fix appreciable amount of atmospheric nitrogen into the soil (Mndzebele et al. 2020; Mohammed et al. 2022). On the other hand, production and utilization of cowpea is confronted with numerous challenges such as pests, weeds, diseases, lack of mechanized equipment suitable for harvesting, and other trait-related challenges (longer cooking time (Addy et al. 2020), and several others reported in similar studies (Bolarinwa et al. 2022; Gonçalves et al. 2016; Horn and Shimelis 2020; Mohammed et al. 2021; Omomowo and Babalola 2021; Osipitan et al. 2021).

A study by Quaye et al. (2011) in Ghana (Accra and Kumasi) revealed that consumers prefer cowpea varieties based on cleanliness, colour, cooking time, taste, seed size, weevil damage, dryness. Langyintuo et al. (2004) reported that grain size, testa colour, testa texture, eye color and damage levels are key consumer traits for cowpea in Ghana and Cameroon. In order to breed for demand-driven cowpea varieties in Ghana, it is imperative to know the cropping systems, farmers production constraints and their traits preference. Knowing these will serve as incentives for farmers adopt improved cowpea varieties to be bred. Also, consumers will be willing to pay a premium for cowpea variety produced by farmers that match their preferences (Langyintuo et al. 2004). From above background, the present study was undertaken to identify cowpea cropping systems, traits preference and production constraints among farmers in Upper West Region of northern Ghana to lay foundation for cowpea breeding and promotion.

Materials and methods

Description of study areas and sampling procedure

The study was undertaken in the Upper West region (10.2530° N, 2.1450° W) in the northern part of Ghana located in Guinea Savannah belt. The region shares boundaries to the north and west with Burkina Faso and Côte d’Ivoire, respectively (Fig. 1). It also shares borders to the east with the Upper East and south with Northern region (Fig. 1). The region occupies approximately 12.7% of the total land area of Ghana. Among prominent crops produced in the region include maize, rice, sorghum, cotton and cowpea. The region has a single rainy season from April to September, with mean annual rainfall of about 115 mm, and followed by harmattan characterized by prolonged dry season with cold and hazy weather from early November to March (Ghana Statistical Service 2013; Subaar et al. 2018). Prior to the onset of early rainfall in April, the region experiences an intense hot weather. The region has nine administrative districts (Fig. 1).

Fig. 1
figure 1

Source: Authors’ own construct

Map of upper west region of Ghana

Cowpea is cultivated in all the nine districts. Based on data obtained from agriculture extension officers in the Ministry of Food and Agriculture (MoFA), Nandom (10.8323° N, 2.8178° W), Lambusie-Karni (10.8344° N, 2.5792° W) and Lawra (10.6294° N, 2.8378° W) districts were purposefully selected. Specifically, Brutu (10.8532° N, 2.7606° W), Karni (11.0990° N, 2.6934° W) and Babile (10.5199° N, 2.83525° W) communities were selected from the three districts, respectively (Fig. 1; Table 1), to identify households involved in cowpea production. In all, one thousand and three hundred households were identified to produce cowpea in the three communities sampled (Brutu, Karni and Babile with 16.70, 24.70 and 58.60%, respectively) (Table 1). Following the formula proposed by Bartlett et al. (2001) with margin of error set at 5%, a total sample size of 306 households participated in this study. Based on the relative proportion of households in the three selected communities, 51 (Brutu), 76 (Karni) and 179 (Babile) cowpea farmers households were randomly selected from the list of the one thousand and three hundred cowpea farmers households in the three districts (Table 1).

Table 1 Number of cowpea farmers households in the selected districts and proportions selected to participate in the study

Data collection and statistical analysis

Data were solicited mainly from primary source with the help of a structured questionnaire. The questionnaire consisted of four sections. First section was socio-economic characteristics of cowpea farmers. The second and third sections focused on cowpea cropping systems and trait preferences, respectively. The last section aimed at asking questions related to cowpea production constraints.

The selected farmers (Table 1) were assured that information to be obtained will be treated with anonymity and will be used for only academic purposes. In addition, respondents were informed of the purpose of the research. Participants were made aware that no incentives will be provided to them and no harm was to be done against them. Respondents were further encouraged to seek further clarification on issues they found confusing during interviewing session.

With assistance of agriculture extension officers of MoFA in the respective communities, the selected cowpea farmers (Table 1) were interviewed in either local dialects (Dagaare) or English and their responses recorded in English. Data collected were coded and entered into IBM SPSS statistical software, version 22 (IBM Corp., Armonk, NY). Results obtained were summarized and presented by descriptive statistics, i.e., frequency tables and charts.

Results

Socio-demographic characteristics of the cowpea farmers

Out of the 306 cowpea farmers, 32% of them aged between 40 and 49 years. This was followed by the age brackets 30–39 years and 50–59 years with 23.2% and 22.5%, respectively, and the least age group (< 20 years) had 2% (Table 2).

Males dominated (77.8%) the study with females being the minority (22.2%). A majority of the cowpea farmers were found to be Christians (60.8%) and were followed by Muslims (23.5%) (Table 2). The study also found that most of the respondents had basic (28.7%) and secondary education (29.1%), while 22.2% of the respondents had no formal education. In terms of marital status, a majority (66.36%) of the respondents were married, while (16.34%) were single (Table 2).

Main occupation of respondents included crop production (30.10%), formal/government work (25.5%), trading (18.6%) and animal rearing (12.10%) (Table 2). From these, a majority (40.02%) of the respondents earn their livelihood from farming, whereas 19.3% and 22.9% of the respondents obtain their livelihood from trading and government work, respectively (Table 2).

Table 2 Socio-demographic characteristics of respondents in the study

Cowpea cropping systems among farmers in the Upper West region of Ghana

As shown in Fig. 2A, the majority (58.5%) of farmers in the study area practice intercropping, whereas a minority (41.5%) practice sole cropping. From those practicing intercropping (179/306), a majority (120) of them intercrop with maize, followed by millet (48 farmers), sorghum (7 farmers) and yam (4 farmers) (Fig. 2B). These suggest that cowpea farmers in the studied districts mostly intercrop cowpea with cereals.

Fig. 2
figure 2

Source: Field survey, March 2022

Cowpea cropping systems A and crops intercrop with B among the cowpea farmers in the study area

Cowpea farmers’ traits preferences for production, consumption, fodder and market values

In order to know farmers’ trait preference for production, consumption, fodder and market values, we further asked questions on their preferences. Regarding trait preference in terms of production value, farmers preference followed high yield (67.32%) > drought tolerance (52.61%) > improve soil fertility (41.18%) > early maturing variety/pest resistance (30.01%) > fit into existing cropping system (21.24%) > disease resistance (12.75%) > high biomass (0.65%) (Table 3). Conversely, majority of intercropping farmers preferred cowpea varieties with high yield, drought resistant, improve soil fertility, early maturing variety, pest resistance, fit into existing cropping system and disease resistance compared to their counterpart sole cropping farmers.

Table 3 Crosstabulation of cowpea cropping systems and production trait preferences

Again, in terms of consumption value, 93.13% of the farmers indicated their preference for better taste (Fig. 3A). This was followed by farmers who preferred cowpea varieties that is cooked in less time (33.99%) and store well (20.26%). While other farmers preferred seed-related traits such as big seed size (9.48%), white/cream seed colour (6.54%), small seed size (1.31%) and mottled seed color (0.98%) (Fig. 3A).

Fig. 3
figure 3

Source: Field survey, March 2022

Trait preferences among cowpea farmers in the study area. A For consumption value. B For fodder value. C For market value

Moreso, when it comes to trait preference for fodder value, palatability is the most preferred trait for a majority (89.54%) of the farmers, followed by fast growing ability varieties (16.01%), more fodder quantity with leafy (6.54%) and more durable fodder (4.90%) (Fig. 3B). Also, trait of cowpea for its market value is of great importance to farmers and with that 76.14% prefer cowpea variety that fetches higher price and again, 53.59% farmers were identified to prefer planting varieties that have high demand on the market (Fig. 3C). Other farmers prefer cowpea varieties with big seed size (9.48%), low price fluctuations (6.86%), white/cream seed colour (6.54%), small seed size (1.31%) and mottled seed colour (0.98%) (Fig. 3C).

Cowpea production constraints among farmers in the Upper West region of Ghana

Production of cowpea like other crops experience a number of biotic and abiotic stresses (Addae-Frimpomaah et al. 2022; Banla et al. 2018; Baoua et al. 2021; John and Fielding 2014; Lobulu et al. 2019; Osipitan et al. 2021), therefore this section sought to identify cowpea production constraints in the study areas. It was observed that a majority (64.71%) of the farmers indicated susceptibility of cowpea to storage pest as the major constraint (Fig. 4). This was followed by high pest incidence (50.98%), late maturity or long duration (33.66%), difficulty in harvesting (29.08%), high input cost (20.26%), small size grains (10.13%), low yield (9.8%), high disease incidence (5.56%) and poor colour of cowpea (4.25%). Other constraints encountered by cowpea farmers include inadequate access to improved variety/drought challenges (3.59%), poor seed quality (1.96%), poor seed germination (0.98%), low pod filling, poor fodder quality (0.65%) and poor taste/low recovery or shelling percentage (0.33%) (Fig. 4).

Fig. 4
figure 4

Source: Field Survey March, 2022

Production constraints encountered by cowpea farmers in study area

Discussion

To increase cowpea production and utilization in Ghana, the present study was undertaken to identify cowpea cropping systems, traits preferences and production constraints in one of the leading producing regions in Ghana. It was observed that males predominantly engaged in cowpea farming in the study area (Table 2). This finding is similar to Akpalu et al. (2014) who found that females’ involvement in cowpea farming in Ghana is generally low. Women mostly in some African countries are engaged in carrying out other activities within the cowpea value chain while their male counterparts are engaged in the main farming activities (Iya and Kwaghe 2007). According to (Rahman 2008) and (Akpalu et al. 2014) women are rather engaged in post-harvest operations like threshing and winnowing. In places where culture and social norms influence the behaviour of people, women are not mainly involved in physical farm operations (Rahman 2008). However, this finding is in contrast with (Nkongolo et al. 2009), who found that women are the main farmers of cowpea. The results on farmers’ level of education show that those having tertiary education are the least (19.93%) (Table 2). As suggested by Reimers and Klasen (2013) farmers who are advanced in education are able to combine different resources in their possible way and make efficient use of them towards production and productivity. In terms of technology, well-educated farmers are fast in adopting the best ones to boost production and attain more returns (Adetonah et al. 2016; Asadullah and Rahman 2009).

Intercropping is a popular farming system among farmers globally ((Ewansiha et al. 2014b; Horn et al. 2015; Olufajo and Singh 2002; Singh and Ajeigbe 2007) and in Ghana (Akpalu et al. 2014). In the study area, a majority (58%) of the farmers practice intercropping (Fig. 2A). Cowpea is intercropped with other crops such as maize, millet, sorghum, and yam (Fig. 2B). Farmers in the study area usually intercrop cereals, especially maize and cowpea. However, intercropping cowpea with yam is not common in the region. In this cropping system, maize is cultivated first followed by the legume because of its shorter production period compared to maize (Sagar et al. 2020). The region is not known for yam production and the crop is only grown in a couple of settlers’ communities (https://mofa.gov.gh/site/sports/district-directorates/upper-west-region/285-lambussie-karni, accessed on 12/05/2023). Also, the tillage method for growing yam is mounding which does not favour intercropping. This may inhibit the easy farm operation such as weed and pest control, fertilizer application and harvesting of the intercropped crop. Furthermore, almost all households in the study area produce maize and keep livestock. Because of the crop-livestock integrated system most farmers intercrop maize with cowpea for both food and fodder (Akakpo 2020). As indicated by Kyei-Boahen et al. (2017) farmers use intercropping because a minimum to no amount of fertilizers would be required since cowpea is a source of nitrogen supplement. It could also be that farmers are unwilling to farm separately as a result of the high cost of farming. Aside that, 42% of the respondents cited of practicing sole cropping (Fig. 2A). Other scholars have argued that sole cropping of cowpea has lots of advantages over intercropping like increased crop yield, suppressing weed growth and harvesting (Ewansiha et al. 2014b; Olufajo and Singh 2002). Therefore, Ewansiha et al. (2014b) emphasized that intercropping system is associated with fewer plant population and low grain yield, shading effect of other cereal crops, overcrowding of crops, diseases and pest infestation.

From this study, it was realized that most (67.32%) of the farmers prefer high yielding cowpea varieties in terms of their production value (Table 3). This is because farmers are rational people and, hence they take rational decisions with the primary focus of increasing their production and profit margins. This finding agrees with Asrat et al. (2010) who opined that yield is an important characteristic of farmers’ crops and variety choices. Drought tolerance is also sought after by farmers (Table 3). Cowpea is fairly drought-tolerant and thrives well in poor soil conditions (Obatolu 2003; Olajide and Ilori 2017). However, anytime drought occurs during the agricultural cycle, it typically has a negative impact on the crop’s growth, production, and yield quality (Bacharou Falke et al. 2019). According to Hamidou et al. (2013); Hamidou et al. (2012); (Kambiranda et al. 2011), the time, intensity, and length of the drought affects the yield of the crop. Physiological characteristics such as leaf area, stomatal conductance, transpired water, osmotic adaptations, and transpiration efficiency are related to drought tolerance (Clavel et al. 2005; Puangbut et al. 2009).

Early maturity is another trait cowpea farmers prefer (Table 3). Given the short duration of rains in the study area, it is apropos for farmers to cultivate varieties that are early maturing in order to escape the prolonged drought spell and its implications on pests and diseases incidence, crop growth, development and yield (Martey et al. 2022). Almost all the farmers prefer cowpea varieties with better taste and takes less cooking time when considering consumption value (Fig. 3A). The cowpea grains are used to prepare different meals in the Ghanaian society, such as ‘koose’, ‘tubani’, ‘tuozaafi’, while others freshly cooked cowpea pods serve as a delicacy in most households prior to main field crop harvest. The dry grain of the white cowpea variety is found to have less cooking time as compared to the brown coloured varieties (Asfaw et al. 2011). The white cowpea variety according to the farmers can be stored for a longer period, and still possess the preferred characteristics. Farmers preferred cowpea varieties that are in demand and fetches higher price (Fig. 3C). Farmers have the perception that the white variety of cowpea looks healthy and attractive to consumers. This makes the variety to be preferred by majority of the people thereby increasing the demand and price of the variety. Harvested grains are processed and sold both locally and regionally. A larger proportion of cowpea produced in Africa and its environs are sold in the local markets (Beshir et al. 2019; Timko and Singh 2008).

Constraints of cowpea production are general to all farmers in the study area. Hierarchically farmers are faced with production constraints such as susceptibility to storage pests, high pest incidence, late maturity, difficulty in harvesting, high input cost, small grain size, low yield, high disease incidence, poor colour, lack of improved variety, drought, poor seed quality, poor seed germination, low pod filling, poor fodder quality, poor taste and low recovery (Fig. 4). These findings agree with some studies conducted in South Sahara Africa (Baoua et al. 2021; Boukar et al. 2013; Horn and Shimelis 2020; Olufajo and Singh 2002) and Europe (Lazaridi and Bebeli 2023). Cowpea’s susceptibility to storage pests was discovered as the main production constraint in the study area. As pointed out by Tarver et al. (2007) and Tadesse et al. (2006) postharvest pest is a big problem for farmers in storing grains, for example, weevil destroys cowpea by making holes in the cowpea pod, destroying the economic value of the grain in a very short time. Additionally, it was discovered that late maturity and drought spells affect the production of cowpea in the study area (Fig. 4). This indicates farmers are still producing the local cowpea varieties which take a longer period (125 days) to reach maturity. This then coincides with the prolonged drought spells in the Guinea Savannah zone. Lamaoui et al. (2018) assert that drought influences the uptake of essential nutrients for plant growth and the ability of the seeds to properly germinate. Fahad et al. (2017) claimed that erratic rainfall in certain areas makes farmers unwilling to enter cowpea production.

Implication for breeding

Technology developments should be done in a way that will involve all stakeholders. This will ensure that the technology being developed accentuates farmers preferences and in the same vein addresses their constraints. Such technologies could consider farmers socioeconomic characteristics which can foster their easy adoption and use. Hence, genetic improvements of cowpea should not only focus on high yielding, early maturity and drought tolerance but also palatability, less cooking time and pest resistance. Since these are also trait preference that drives demand and price which is of interest to farmers and consumers. Finally, scientist specifically cowpea breeders should make conscious efforts to bridge the knowledge and practice gap between researchers and farmers. This can be done by reaching out to the farmers through Behavioural Change Communication, which can be spearheaded by extension officers. Since farmers in some cases have no idea of the improvements undertaken by the scientific community thereby making adoption and use of such improvements low. Overall, the results from this study suggest the need to form interdisciplinary cowpea breeding committee comprising plant breeders, food scientists, soil scientists, mechanization experts, agricultural extensionists, socio-economics, among others to contribute to breeding cowpea varieties that meet the needs of the farmers. It is suggested that this study should be replicated in other agroecological zones of Ghana to enable triangulation of findings.

Conclusions

The study’s results indicated that a majority (58.5%) of the cowpea farmers practice intercropping whereas a minority (41.5%) practice sole cropping in the study area. The farmers intercropped cowpea with other grain crops such as maize, millet, sorghum, groundnut, and soybean. Judging from production, market, consumption and fodder values farmers preferred cowpea varieties with the following traits: high yield, drought resistant, early maturing, pest resistance, improve soil fertility, high price, high demand, better taste, less cooking time, storage quality, palatability and fast growing. Results further revealed that some constraints hinder cowpea production, trait preference and utilization of the crop. Farmers indicated that susceptibility to storage pests, high pest incidence, late maturity, difficulty in harvesting, high input cost, small grain size, low yield, high disease incidence, poor colour, lack of improved variety, drought, poor seed quality, poor seed germination, low pod filling, poor fodder quality, poor taste and low recovery are some constraints that hinder cowpea production and utilization. The results from this study would lay foundation for demand-driven cowpea varieties breeding programmes for farmers and consumers in Upper West region, Ghana as a whole and Africa at large. In addition, agricultural extension workers and other stakeholders could leverage on the findings of this research to develop and promote farmer-friendly cowpea technologies to boast production and utilization as alternative source of protein for rural households.

Availability of data and materials

The data presented in this study are available within the article.

References

  • Addae-Frimpomaah F, Amenorpe G, Denwar NN, Amiteye S, Adazebra GA, Sossah FL, Akaba S, Issah AR, Amoatey HM. Participatory approach of preferred traits, production constraints and mitigation strategies: implications for soybean breeding in Guinea Savannah zone of Ghana. Heliyon. 2022;8(5):e09497. https://doi.org/10.1016/j.heliyon.2022.e09497.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Addy SNTT, Cichy KA, Adu-Dapaah H, Asante IK, Emmanuel A, Offei SK. Genetic studies on the inheritance of storage-induced cooking time in cowpeas. Front Plant Sci. 2020;11:444.

    Article  PubMed  PubMed Central  Google Scholar 

  • Adetonah S, Coulibaly O, Ncho S. Gender integration in the innovation platforms for scaling out cowpea in Ghana, Mali, Nigeria and Senegal. 2016.  Accessed 18 Apr 2018.

  • Akakpo DB. Grain legume fodders as ruminant feed in mixed crop-livestock systems in northern Ghana (Doctoral dissertation, Wageningen University). 2020; 126. https://doi.org/10.18174/508346.

  • Akpalu MM, Salaam M, Oppong-Sekyere D, Akpalu SE. Farmers’ knowledge and cultivation of cowpea (Vigna unguiculata (L.) Verdc.) In three communities of Bolgatanga Municipality, Upper East region, Ghana. Br J Appl Sci Technol. 2014;4(5):775–92.

    Article  Google Scholar 

  • Asadullah MN, Rahman S. Farm productivity and efficiency in rural Bangladesh: the role of education revisited. Appl Econ. 2009;41(1):17–33.

    Article  Google Scholar 

  • Asfaw S, Shiferaw B, Simtowe F, Haile M. Agricultural technology adoption, seed access constraints and commercialization in Ethiopia. J Dev Agricultural Econ. 2011;3(9):436–77.

    Google Scholar 

  • Asrat S, Yesuf M, Carlsson F, Wale E. Farmers’ preferences for crop variety traits: lessons for on-farm conservation and technology adoption. Ecol Econ. 2010;69(12):2394–401.

    Article  Google Scholar 

  • Atiah WA, Muthoni FK, Kotu B, Kizito F, Amekudzi LK. Trends of rainfall onset, cessation, and length of growing season in northern Ghana: comparing the rain gauge, satellite, and farmer’s perceptions. Atmosphere. 2021. https://doi.org/10.3390/atmos12121674.

    Article  Google Scholar 

  • Bacharou Falke A, Hamidou F, Halilou O, Harou A. Assessment of groundnut elite lines under drought conditions and selection of tolerance associated traits. Adv Agric. 2019;2019:1–10.

    Google Scholar 

  • Banla EM, Dzidzienyo DK, Beatrice IE, Offei SK, Tongoona P, Desmae H. Groundnut production constraints and farmers’ trait preferences: a pre-breeding study in Togo. J Ethnobiol Ethnomed. 2018;14(1):75. https://doi.org/10.1186/s13002-018-0275-y.

    Article  PubMed  PubMed Central  Google Scholar 

  • Baoua I, Rabé MM, Murdock LL, Baributsa D. Cowpea production constraints on smallholders’ farms in Maradi and Zinder regions, Niger. Crop Prot. 2021;142:105533. https://doi.org/10.1016/j.cropro.2021.105533.

    Article  Google Scholar 

  • Bartlett JE, Kotrlik JW, Higgins CC. Organizational research: determining appropriate sample size in survey research appropriate sample size in survey research. Inform Technol Learn Perform J. 2001;19(1):43–50.

    Google Scholar 

  • Beshir B, Amsalu B, Dagmawit T, Selamawit K, Teamir M, Bezawit Y. Cowpea production, marketing and utilization in Ethiopia. Addis Ababa: Ethiopian Institute of Agricultural Research; 2019.

    Google Scholar 

  • Bolarinwa KA, Ogunkanmi LA, Ogundipe OT, Agboola OO, Amusa OD. An investigation of cowpea production constraints and preferences among small holder farmers in Nigeria. GeoJournal. 2022;87(4):2993–3005. https://doi.org/10.1007/s10708-021-10405-6.

    Article  Google Scholar 

  • Boukar O, Bhattacharjee R, Fatokun CA, Kumar PL, Gueye B. Cowpea. Amsterdam: Elsevier Inc.; 2013. p. 137–56.

    Google Scholar 

  • Clavel D, Drame NK, Diop ND, Zuily-Fodil Y. Adaptation à la sécheresse et création variétale: le cas de l’arachide en zone sahélienne-Première partie: revue bibliographique. Oléagineux Corps Gras Lipides. 2005;12(3):248–60.

    Article  Google Scholar 

  • Cui Q, Xiong H, Yufeng Y, Eaton S, Imamura S, Santamaria J, Ravelombola W, Mason RE, Wood L, Mozzoni LA, Shi A. Evaluation of drought tolerance in arkansas cowpea lines at seedling stage. HortScience horts. 2020;55(7):1132–43. https://doi.org/10.21273/HORTSCI15036-20.

    Article  Google Scholar 

  • D’Andrea AC, Kahlheber S, Logan AL, Watson DJ. Early domesticated cowpea (Vigna unguiculata) from Central Ghana. Antiquity. 2007;81(313):686–98. https://doi.org/10.1017/S0003598X00095661.

    Article  Google Scholar 

  • Database FAOSTAT. 2021. http://www.fao.org/faostatAccessed 15 Mar 2023.

  • Ewansiha SU, Kamara AY, Chiezey UF, Onyibe JE. Agronomic responses of diverse cowpea cultivars to planting date and cropping system. Trop Agric. 2014a;91:116–30.

    Google Scholar 

  • Ewansiha SU, Kamara AY, Onyibe JE. Performance of cowpea cultivars when grown as an intercrop with maize of contrasting maturities. Arch Agron Soil Sci. 2014b;60(5):597–608.

    Article  Google Scholar 

  • Fahad S, Bajwa AA, Nazir U, Anjum SA, Farooq A, Zohaib A, Sadia S, Nasim W, Adkins S, Saud S. Crop production under drought and heat stress: plant responses and management options. Front Plant Sci. 2017. https://doi.org/10.3389/fpls.2017.01147.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ghana Statistical Service. 2010 Population and housing census, regional analytical report, upper west region. 2013. https://www2.statsghana.gov.gh/docfiles/2010phc/2010_PHC_Regional_Analytical_Reports_Upper_West_Region.pdfAccessed on 23 Mar 2024.

  • Gonçalves A, Goufo P, Barros A, Domínguez-Perles R, Trindade H, Rosa EAS, Ferreira L, Rodrigues M. Cowpea (Vigna unguiculata L. Walp), a renewed multipurpose crop for a more sustainable agri-food system: nutritional advantages and constraints. J Sci Food Agric. 2016;96(9):2941–51. https://doi.org/10.1002/jsfa.7644.

    Article  CAS  PubMed  Google Scholar 

  • Hamidou F, Ratnakumar P, Halilou O, Mponda O, Kapewa T, Monyo E, Faye I, Ntare BR, Nigam SN, Upadhyaya HD. Selection of intermittent drought tolerant lines across years and locations in the reference collection of groundnut (Arachis hypogaea L.). Field Crops Res. 2012;126:189–99.

    Article  Google Scholar 

  • Hamidou F, Halilou O, Vadez V. Assessment of groundnut under combined heat and drought stress. J Agron Crop Sci. 2013;199(1):1–11.

    Article  Google Scholar 

  • Herniter IA, Jia Z, Kusi F. Market preferences for cowpea (Vigna unguiculata [L.] Walp) dry grain in Ghana. Afr J Agric Res. 2019;14(22):928–34. https://doi.org/10.5897/AJAR2019.13997.

    Article  Google Scholar 

  • Herniter IA, Muñoz-Amatriaín M, Close TJ. Genetic, textual, and archeological evidence of the historical global spread of cowpea (Vigna unguiculata [L.] Walp). Legum Sci. 2020;2(4):e57. https://doi.org/10.1002/leg3.57.

    Article  Google Scholar 

  • Horn LN, Shimelis H. Production constraints and breeding approaches for cowpea improvement for drought prone agro-ecologies in Sub-Saharan Africa. Ann Agric Sci. 2020;65(1):83–91.

    Article  Google Scholar 

  • Horn L, Shimelis H, Laing M. Participatory appraisal of production constraints, preferred traits and farming system of cowpea in the northern Namibia: implications for breeding. Legum Res Int J. 2015;38(5):691–700.

    Google Scholar 

  • Iya IB, Kwaghe TT. The economic effect of spray pesticides on cowpea (Vigna unguculata L. Walp.) Production in Adamawa state of Nigeria. Int J Agric Res. 2007;2(7):647–50.

    Article  Google Scholar 

  • John A, Fielding M. Rice production constraints and ‘new’ challenges for south asian smallholders: insights into de facto research priorities. Agric Food Secur. 2014;3(1):18. https://doi.org/10.1186/2048-7010-3-18.

    Article  Google Scholar 

  • Kambiranda DM, Vasanthaiah HKN, Katam R, Ananga A, Basha SM, Naik K. Impact of drought stress on peanut (Arachis hypogaea L.) productivity and food safety. Plants Environ. 2011;1:249–72.

    Google Scholar 

  • Kyei-Boahen S, Savala CEN, Chikoye D, Abaidoo R. Growth and yield responses of cowpea to inoculation and phosphorus fertilization in different environments. Front Plant Sci. 2017;8:646.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lamaoui M, Jemo M, Datla R, Bekkaoui F. Heat and drought stresses in crops and approaches for their mitigation. Front Chem. 2018;6:26.

    Article  PubMed  PubMed Central  Google Scholar 

  • Langyintuo AS, Lowenberg-DeBoer J, Faye M, Lambert D, Ibro G, Moussa B, Kergna A, Kushwaha S, Musa S, Ntoukam G. Cowpea supply and demand in West and Central Africa. Field Crops Res. 2003;82(2):215–31. https://doi.org/10.1016/S0378-4290(03)00039-X.

    Article  Google Scholar 

  • Langyintuo AS, Ntoukam G, Murdock L, Lowenberg-DeBoer J, Miller DJ. Consumer preferences for cowpea in Cameroon and Ghana. Agric Econ. 2004;30(3):203–13. https://doi.org/10.1111/j.1574-0862.2004.tb00189.x.

    Article  Google Scholar 

  • Lazaridi E, Bebeli PJ. Cowpea constraints and breeding in Europe. Plants. 2023;12(6):1339.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lobulu J, Shimelis H, Laing M, Mushongi AA. Maize production constraints, traits preference and current Striga control options in western Tanzania: farmers’ consultation and implications for breeding. Acta Agric Scand Sect B Soil Plant Sci. 2019;69(8):734–46. https://doi.org/10.1080/09064710.2019.1652680.

    Article  CAS  Google Scholar 

  • Martey E, Etwire PM, Adogoba DS, Tengey TK. Farmers’ preferences for climate-smart cowpea varieties: implications for crop breeding programmes. Clim Dev. 2022;14(2):105–20.

    Article  Google Scholar 

  • Matsui T, Singh BB. Root characteristics in cowpea related to drought tolerance at the seedling stage. Exp Agric. 2003;39(1):29–38. https://doi.org/10.1017/S0014479703001108.

    Article  Google Scholar 

  • Mndzebele B, Ncube B, Nyathi M, Kanu SA, Fessehazion M, Mabhaudhi T, Amoo S, Modi AT. Nitrogen fixation and nutritional yield of cowpea-amaranth intercrop. Agronomy. 2020;10(4):565.

    Article  CAS  Google Scholar 

  • Mohammed SB, Dzidzienyo DK, Umar ML, Ishiyaku MF, Tongoona PB, Gracen V. Appraisal of cowpea cropping systems and farmers’ perceptions of production constraints and preferences in the dry savannah areas of Nigeria. CABI Agric Biosci. 2021;2(1):25. https://doi.org/10.1186/s43170-021-00046-7.

    Article  Google Scholar 

  • Mohammed M, Mbah GC, Sowley ENK, Dakora FD. Cowpea genotypic variations in N2 fixation, Water Use Efficiency (δ13C), and grain yield in response to bradyrhizobium inoculation in the field, measured using xylem N solutes, 15N, and 13C natural abundance. Front Agron. 2022;4:1.

    Article  Google Scholar 

  • Nkongolo KK, Bokosi J, Malusi M, Vokhiwa Z, Mphepo M. Agronomic, culinary, and genetic characterization of selected cowpea elite lines using farmers’ and breeder’s knowledge: a case study from Malawi. Afr J Plant Sci. 2009;3(7):147–56.

    CAS  Google Scholar 

  • Obatolu VA. Growth pattern of infants fed with a mixture of extruded malted maize and cowpea. Nutrition. 2003;19(2):174–8.

    Article  PubMed  Google Scholar 

  • Olajide AA, Ilori CO. Effects of drought on morphological traits in some cowpea genotypes by evaluating their combining abilities. Adv Agric. 2017. https://doi.org/10.1155/2017/7265726.

    Article  Google Scholar 

  • Olufajo OO, Singh BB. Advances in cowpea cropping systems. Challenges and opportunities for enhancing sustainable cowpea production. 2002; 267.

  • Omomowo OI, Babalola OO. Constraints and prospects of improving cowpea productivity to ensure food, nutritional security and environmental sustainability. Front Plant Sci. 2021;12:2392.

    Article  Google Scholar 

  • Osipitan OA, Fields JS, Lo S, Cuvaca I. Production systems and prospects of cowpea in the United States. Agronomy. 2021;11(11):2312.

    Article  CAS  Google Scholar 

  • Puangbut D, Jogloy S, Vorasoot N, Akkasaeng C, Kesmala T, Rachaputi RCN, Wright GC, Patanothai A. Association of root dry weight and transpiration efficiency of peanut genotypes under early season drought. Agric Water Manage. 2009;96(10):1460–6.

    Article  Google Scholar 

  • Quaye W, Adofo K, Buckman ES, Frempong G, Jongerden J, Ruivenkamp G. A socio-economic assessment of cowpea diversity on the ghanaian market: implications for breeding. Int J Consumer Stud. 2011;35(6):679–87. https://doi.org/10.1111/j.1470-6431.2010.00980.x.

    Article  Google Scholar 

  • Rahman SA. Women’s involvement in agriculture in northern and southern Kaduna state, Nigeria. J Gend Stud. 2008;17(1):17–26.

    Article  Google Scholar 

  • Ravelombola W, Shi A, Chen S, Xiong H, Yang Y, Cui Q, Olaoye D, Mou B. Evaluation of cowpea for drought tolerance at seedling stage. Euphytica. 2020;216(8):123. https://doi.org/10.1007/s10681-020-02660-4.

    Article  CAS  Google Scholar 

  • Razgonova MP, Burlyaeva MO, Zinchenko YN, Krylova EA, Chunikhina OA, Ivanova NM, Zakharenko AM, Golokhvast KS. Identification and spatial distribution of bioactive compounds in seeds Vigna unguiculata (L.) walp by laser microscopy and tandem mass spectrometry. Plants. 2022. https://doi.org/10.3390/plants11162147.

    Article  PubMed  PubMed Central  Google Scholar 

  • Reimers M, Klasen S. Revisiting the role of education for agricultural productivity. Am J Agric Econ. 2013;95(1):131–52.

    Article  Google Scholar 

  • Sagar M, Tanmoy S, Pradipta B. Potential and advantages of maize-legume intercropping system. In: Akbar H, editor. Maize. Rijeka: IntechOpen; 2020.

    Google Scholar 

  • Singh BB, Ajeigbe H. Improved cowpea-cereals-based cropping systems for household food security and poverty reduction in West Africa. J Crop Improv. 2007;19(1–2):157–72.

    Article  Google Scholar 

  • Subaar C, Apori N, Fletcher JJ, Galyuon R, Edusei G, Adayira VW. Time series analysis for prediction of meteorological data from Wa, Upper West Region of Ghana. J Climatol Weather Forecast. 2018. https://doi.org/10.4172/2332-2594.1000237.

    Article  Google Scholar 

  • Tadesse A, Ayalew A, Getu E, Tefera T. Review of research on post-harvest pests. Increas Crop Prod Through Improv Plant Prot. 2006;2:475–563.

    Google Scholar 

  • Tarver MR, Shade RE, Shukle RH, Moar WJ, Muir WM, Murdock LM, Pittendrigh BR. Pyramiding of insecticidal compounds for control of the cowpea bruchid (Callosobruchus maculatus F). Pest Manage Sci Former Pesticide Sci. 2007;63(5):440–6.

    Article  CAS  Google Scholar 

  • Timko MP, Singh BB. Cowpea, a multifunctional legume. Genomics of tropical crop plants. Berlin: Springer; 2008. p. 227–58.

    Book  Google Scholar 

  • Yadav N, Kaur D, Malaviya R, Singh M, Fatima M, Singh L. Effect of thermal and non-thermal processing on antioxidant potential of cowpea seeds. Int J Food Prop. 2018;21(1):437–51. https://doi.org/10.1080/10942912.2018.1431659.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The present study was part of the Master of Science Degree in Agricultural Science thesis of the second author. The authors are grateful to Mrs Francisca Addae-Frimpomaah of CSIR-SARI who supported us during development data collection tool. The authors appreciate the Agriculture Extension Agents of Ministry of Food and Agriculture who assisted us during data collection. The authors acknowledge the contribution of cowpea farmers in the research areas for participating in the study voluntarily. Finally, the authors are grateful to all other persons who assisted in diverse during data collection, analysis and drafting and revision of manuscript.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. It was solely financed by BK and MDM.

Author information

Authors and Affiliations

Authors

Contributions

BK, AMA and IKA conceived, designed and supervised the study; MDM collected the data; BK and MDM analyzed the data. MDM and EA wrote first draft of the paper. BK and DBA revised the manuscript. All authors read and approved the final manuscript.

Author's information

BK, AMA and IKA are faculty members of University for Development Studies, Faculty of Agriculture, Food and Consumer Sciences (FoAFCS). MDM and EA are past postgraduate students of FoAFCS. DBA is a faculty member of University of Ghana, School of Agriculture.

Corresponding author

Correspondence to Benjamin Karikari.

Ethics declarations

Ethics approval and consent to participate

The study was approved by graduate school of University for Development Studies. The informed consent of participants was always obtained verbally before the consultation/interview process was conducted, and the option to participate or withdraw from the conduct of the study, was orally given to the participants.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karikari, B., Maale, M.D., Anning, E. et al. Cowpea cropping systems, traits preference and production constraints in the upper west region of Ghana: farmers' consultation and implications for breeding. CABI Agric Biosci 4, 17 (2023). https://doi.org/10.1186/s43170-023-00159-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s43170-023-00159-1

Keywords