Agriculture & Food Security

Bacillus cereus is frequently related to foodborne illness outbreak. The common food vehicles for transmission of the bacteria are rice, rice products and starchy foods. As rice is a staple food for some countries including Malaysia, knowledge about safety of B. cereus in rice is important. This study was conducted to enumerate and identify B. cereus in local indigenous and imported rice grains. As Malaysia depends on imported rice to complement the food demands, it is crucial to assess on the imported rice besides the locals. Twenty local indigenous and twenty imported rice grains were investigated in this study. All samples showed positive for the presence of B. cereus using polymerase chain reaction targeting the gryB gene (475 bp) which encodes for B protein subunit for DNA gyrase or also known as topoisomerase II. The microbial load of B. cereus in all samples was >1100MPN/g. However, PCR analysis revealed all the samples were contaminated with B. cereus except for three samples of local indigenous rice (LIR 3, LIR 9 and LIR 20). Due to the finding of high prevalence on the samples, it is therefore concluded that the local indigenous and imported rice grains can be one potential source of B. cereus transmission to the public.

Agriculture is important for economic growth and development in many countries in Sub-Saharan Africa, including Tanzania. However, agricultural production and productivity remain relatively low, with significant yield gaps attributed to factors such as limited access to and low adoption of appropriate agricultural technologies, and climate-related risks resulting from climate variability and change. This paper explores the drivers of adoption of climate-smart agricultural (CSA) technologies and practices, taking into account the complementarity among agricultural technologies and heterogeneity of the farm households, using data from Lushoto in Tanzania. We use a Multivariate Probit analysis of cross-sectional data collected from 264 smallholder farmers in Lushoto—a climate hotspot in Tanzania—to understand the drivers of household decisions to adopt CSA technologies and practices. The technologies included diversification of multiple stress (drought, floods, pests, diseases)-tolerant crop varieties, use of fertilizers, and application of herbicides and pesticides. The Multivariate Probit model was preferred as it takes into account the inter-relationships of the technologies as well as heterogeneity of the smallholder farmers for more robust estimates. The independent variables used in the analysis included household socio-economic factors such as the relative importance of crop and livestock enterprises, household land size, social capital, access to agricultural credit and weather information, previous experience with fertilizer use and household characteristics (age, education and gender of household head, and household size). About 63% of the households diversified their crop enterprises, shifting to improved resilient crops and crop varieties. Another 37% adopted fertilizers, while 38% applied pesticides and herbicides. Conditional on the unobservable heterogeneity effects, the results show that household adoption decisions on diversification of multiple stress-tolerant crops and crop varieties, fertilizer, and pesticides and herbicides are complementary. In addition, the results confirm existence of unobserved heterogeneity effects leading to varying impact of the explanatory variables on adoption decisions among farmers with similar observable characteristics. The findings indicate that any effective CSA technology adoption and diffusion strategies and policies should take into account the complementarity of the technologies and heterogeneity of the smallholder farmers. Therefore, inter-related technologies should be promoted as a package or bundled while taking into consideration household and farm-level constraints to adoption.

Common bean one of the grain legumes that was traditionally considered a subsistence crop and therefore a woman’s crop in Uganda was prioritized for commercialization. This has transformed the crop from being a subsistence crop (food security crop) to a commercial crop with more men engaged in its production. Little is known about the possibility of gender conflicts in production activities as the crop finds market. The study uses gender-disaggregated survey data from 500 men and 625 women in central Uganda. Both bivariate and multivariate methods were used to access the notion of bean being a women’s crop based on gender participation intensities (a pairwise t test and Tobit regression model). Seventy-three percent male-headed and 87% female-headed households had membership in farmers groups. Bean crop was majorly owned by women. Seventy-five percent of the studied bean plots were intercropped with other crops. On average, both men and women operated at one bean plot per season estimated. Winnowing (4.26), post-harvest handling and storage (4.25), sorting (4.22), planting (4.04) and weeding (4.00) were the five top most activities that rural women heavily participated in. The following are the top most five activities that men participated in: site selection (3.94), spraying against pests and diseases (3.81), bush clearing (3.77), fertilizer application (3.73) and harvesting beans (3.73). Bean consumption (1.3%), marketability (17.5%), distance to plot (8.1%), education (1.3%) and color (18.1%) had significant influence on women participation intensities. Household size (5.8%), farming as primary occupation (42.7%) and bean color (30.8%) had significant influence on men bean participation intensities. The study revealed there was significantly no bean production activity that was purely done by only men or only done by women. Thus, bean cannot be classified as a women’s crop based on participation intensities since men offered support in a number of activities. In order to close the gender gap in bean production, there is need to target both men and women with gendered interventions and address issues of traditional norms.

Ethiopia is considered as center of diversity for barley (Hordeum vulgare L.) and it is grown across different agro-ecologies of the country. Unraveling population structure and gene flow status on temporal scales assists an evaluation of the consequences of physical, demographic and overall environmental changes on the stability and persistence of populations. This study was to examine spatial and temporal genetic variation within and among barley landrace samples collected over a period of four decades, using simple sequence repeat markers. Results from STRUCTURE, neighbor joining tree and discriminant analysis of principal component (DAPC) analysis revealed presence low-to-high genetic diversity among the landraces and grouped the landraces into three clusters. The cluster analysis revealed a close relationship between landraces along geographic proximity with genetic distance increases along with geographic distance. From analysis of molecular variance (AMOVA) in terms of collection year, it was observed that within-population genetic diversity much higher than between population and that the temporal differentiation is considerably smaller. The low-to-high genetic differentiation between landraces could be attributed to gene flow across the region as a consequence of seed exchange among farmers. The results demonstrate that this set of SSRs was highly informative and useful in generating a meaningful classification of barley germplasms. Furthermore, results obtained from this study also suggest that landraces are a source of valuable germplasm for sustainable agriculture in the context of future climate change and in situ conservation strategies following adaptation to local environments.

International research for development is under increasing pressure to demonstrate development outcomes that enhance people’s food security and well-being while preserving the natural resource base. The CGIAR Research Programme on Climate Change, Agriculture and Food Security (CCAFS) integrates thematic research at several levels with multiple global, regional and local partners, with the aim of identifying and testing pro-poor adaptation and mitigation practices, technologies and policies for food systems, adaptive capacity and rural livelihoods. We describe a process to design and implement baselines across 2,095 households and 108 villages spread over 15 sites in 12 countries of West and East Africa and South Asia, and to archive, document and analyse the data and make them publicly available. We critically examine the process in relation to design, institutional arrangements, and partnerships. The process was long, complex and expensive. We share important lessons learned regarding how to obtain baseline data for rural populations in agricultural systems, as a basis for prioritising research and monitoring progress towards enhanced food security and increased household welfare, in part through uptake of sustainable changes in agricultural practices.

Agricultural research and technology adoption play a key role in improving productivity and therefore generate impact on household livelihoods. The push–pull technology developed by the International Centre of Insect Physiology and Ecology and collaborators/partners has been recognized for its multiple roles in productivity improvement and income generation. However, the subsequent impacts after its adaptation to drier agro-ecologies have not been ascertained. An ex-post study was conducted to evaluate the impact of the climate-resilient push–pull technology on farmers’ income. This study was conducted in eight counties in Kenya and Mara region in Tanzania, involving 486 farmers; half were climate-resilient push–pull technology adopters. The study adopted the propensity score matching (PSM) technique in order to correct the self-selection bias in adoption. From the results, education of the farmer, household size, Tropical Livestock Unit and group membership positively and significantly influenced adoption. The average treatment effect on the treated was positive for all the matching methods; USD 455.8 for Nearest Neighbor Matching, USD 474.2 for the Kernel Matching and USD 439.1 for the Radius/Caliper Matching. The balancing test for self-selection bias showed that none of the observed covariates was significant after matching. The results demonstrate that adopting climate-resilient push–pull technology has a positive impact on the adopter farmers’ income. Adopter farmers were able to earn much more in terms of gross margin. The positive change in income for adopters was attributable to the technology. With increased incomes, farmers were able to access alternative foodstuff, hence had more food security and diversity than those without. Efforts to expand dissemination and adoption of climate-resilient push–pull technology will have positive impacts on adopting families and hence to the economy.

Maize is the most important staple food in Kenya; any reduction in production and yield therefore often becomes a national food security concern. To address the challenge posed by the maize stem borer, the Insect Resistant Maize for Africa (IRMA) agricultural biotechnology public-private partnership (PPP) project was launched in 1999. There were, however, pre-existing concerns regarding the use of genetic engineering in crop production and skepticism about private sector involvement. The purpose of this case study was to understand the role of trust in the IRMA partnership by identifying the challenges to, and practices for, building trust in the project. Data were collected by conducting face-to-face, semi-structured interviews; reviewing publicly available project documents; and direct observations. The data were analyzed to generate recurring and emergent themes on how trust is understood and built among the partners in the IRMA project and between the project and the community. Clear and continued communication with stakeholders is of paramount importance to building trust, especially regarding competition among partners about project management positions; a lack of clarity on ownership of intellectual property rights (IPRs); and the influence of anti-genetic modification (GM) organizations. Awareness creation about IRMA’s anticipated products raised the end users’ expectations, which were unfulfilled due to failure to deliver Bacillus thuringiensis (Bt)-based products, thereby leading to diminished trust between the project and the community. Four key issues have been identified from the results of the study. First, the inability to deliver the intended products to the end user diminished stakeholders’ trust and interest in the project. Second, full and honest disclosure of information by partners when entering into project agreements is crucial to ensuring progress in a project. Third, engaging stakeholders and creating awareness immediately at the project’s inception contributes to trust building. Fourth, public sector goodwill combined with private sector technology and skills are necessary for a successful partnership. These findings may serve as a useful guide for building and fostering trust among partners in other agbiotech PPPs in sub-Saharan Africa.

Several state and non-state organizations are promoting organic agriculture as a climate smart option among cocoa farmers in the Ashanti region of Ghana. In this study, flora diversity and livelihoods position in organic and conventional farming were measured and compared. The experiment included 32 households with young plantations. Jaccard similarity, Shannon (H′) and Simpson (D) diversity indices were measured to assess species similarity, abundance, evenness and dominance. The sustainable livelihoods indicators were food security, income, vulnerability and well-being. The results showed that the species are quite similar. The H′ index for organic farms was slightly higher (0.808) than that of conventional farms (0.762); the D index (0.051) for organic was better than the conventional (0.084). The organic farmers studied had better sustainable livelihoods outcomes than the conventional farmers. Since organic farming has more biodiversity, farmers should be encouraged to practise it to improve livelihoods outcomes and enhance climate change mitigation.

Climate change in Sub-Saharan Africa has had a negative impact on agricultural production leading to food insecurity. Climate-smart agricultural (CSA) practices have the potential to reverse this trend because of its triple potential benefits of improved productivity and high income, reduction or removal of greenhouse gases and improved household food security. Hence, we empirically find the determinants of choice and the effect of CSAs on household food security among smallholder farmers in Kenya. Primary data were collected in Teso North Sub-county, Busia County of Kenya, among smallholder farmers. CSA practices used by farmers were grouped by principal component analysis and linked to food security by multinomial endogenous switching regression model. With the application of principal component analysis, we clustered the CSA practices into 4 components: crop management, field management, farm risk reduction and soil management practices. We find that the greatest effect of CSA adoption by smallholder farmers on food security is when they use a larger package that contains all the four categories of practices. Adopters of this package were 56.83% more food secure in terms of HFCS and 25.44% in terms of HDDS. This package mitigates upon the impacts of climate change as well as enhancing nutrient availability in the soils for higher productivity. Further, adoption of this package was positively influenced by gender of the household head, farm size and value of productive farm assets. CSAs have the potential to alleviate food insecurity among smallholder farmers if used in combinations and to a larger extend. To enhance adoption, land fragmentation should be discouraged through civic education and provision of alternative income-generating activities for farmers to benefit when practiced on relatively bigger land. Farmers should be sensitized on the need to invest in farm productive assets in order to absorb the risks of climate change while enhancing adoption of CSA practices.

The present study aimed to reveal outputs of research works on village chicken production as a tool to combat food insecurity, taking into account the recurring challenge posed by food shortage and high rise in hunger among vulnerable people of several countries. On aggregate, 104 publications were obtained in a BibTeX design for analysis using bibliometric package in R studio. The obtained data comprised, but not limited to authors, citations, institutions, key words and journals. Published articles on village chicken production with relation to food security retrieved from web of science (WOS) and Scopus data banks were utilized with a rise in research publications of a yearly growth of 12.93% during the study period. With regard to country, USA was ranked first with an aggregate sum of publications (n = 16), and a huge global academic influence with most top article citations (n = 509). The frequently used authors’ keywords in this studied research area were food security (n = 23), poultry (n = 9), chickens (n = 7), backyard poultry (n = 5), gender (n = 4), which all together created a hint on related studies on village chicken production and food security. The present study provides a worldwide situation that traverse the intellectual quandary on village chicken production and food security research, and a direction for further researches in this field. It is very vital to emphasize that the current study only dealt with principal areas of village chicken production as related to food security research, hence, it is projected that new empirical research and prospective research findings would afford new knowledge and insight on village chicken production as a means to address food security challenges as new studies evolves.