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On-Farm Diversity and Market Participation Are Positively Associated with Dietary Diversity of Rural Mothers in Southern Benin, West Africa
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OBJECTIVE: The objective of this study is to test the extent to which, under different opportunities for market participation, the diversity of plant species rural households grow or collect (on-farm diversity), and the variety of foods mothers purchase (market diversity) are associated with their dietary diversity. METHODS: Rural households from three districts in southern Benin were interviewed during dry (n = 472) and wet (n = 482) seasons between 2011 and 2012. Villages within districts and their households were selected randomly according to market accessibility, with a mother selected from each household. Information on on-farm diversity was collected using a semi-structured questionnaire. Market diversity was obtained through a 7-day food frequency questionnaire that elicited if foods were purchased. Dietary diversity was derived from a quantitative 24-hour food recall. A system of three simultaneous equations via a Generalized Methods of Moments was estimated to address potential endogeneity between dietary diversity and on-farm diversity and market diversity. RESULTS: Results show rich on-farm diversity with more than 65 different edible plant species grown or collected by households. More than 70% of foods consumed by mothers were purchased in 55 market places. More than 50% of mothers met minimum dietary diversity with at least 5 food groups consumed. Diagnostic tests indicated the existence of endogeneity. Econometric results showed that on-farm and market diversities were positively associated with mothers' dietary diversity (p < 0.05) once market opportunities, seasonality and other socioeconomic factors were controlled for. CONCLUSION: Results provide evidence of a positive relationship between on-farm diversity and dietary diversity among participant mothers. They demonstrate the important contribution of market diversity to their dietary diversity. Links among these three facets of diversity suggest that production for self-consumption and food purchases complement rather than replace each other in their contribution to dietary diversity and thus dietary quality.
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“Numerous studies have found a positive relationship between diversified farming systems and human nutritional outcomes for smallholder farms (Jones et al., 2014;Powell et al., 2015;Bellon et al., 2016;Demeke et al., 2017).”
From Assessing Transitions to Sustainable Agricultural and Food Systems: A Tool for Agroecology Performance Evaluation (TAPE) (2020) · cites this paper as Bellon et al., 2016
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“Application of the social values and dietary principle (9) impact nutrition directly, supported by maintaining and enhancing biodiversity (5) on fields and farms (Bellon et al. 2016; Bezner Kerr et al. 2019b; Demeke et al. 2017; Jones et al. 2014; Lachat et al. 2018; Powell et al. 2015).”
BackgroundSibhatu, K. T., & Qaim, M. (2018) · Food Policy · doi:10.1016/j.foodpol.2018.04.013 · Cited by 372
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“This same trend was noted in Burkina Faso where local markets were observed to enhance agricultural biodiversity by providing an outlet for household production.(20) Furthermore, more highly diversified farms are commonly associated with higher household agricultural revenues, indicating the importance of diversificat…”
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“Numerous studies have found a positive relationship between diversified farming systems and human nutritional outcomes for smallholder farms (Jones et al., 2014; Powell et al., 2015; Bellon et al., 2016; Demeke et al., 2017).”
Background
Metadata
- Authors
- Bellon, M. R., Ntandou-Bouzitou, G. D., & Caracciolo, F.
- Affiliations
- Alliance Bioversity International - CIAT (IT)
- University of Naples Federico II (IT)
- Corresponding author
- Bellon, Mauricio R.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-09-08
- Volume
- 11
- Issue
- 9
- Pages
- e0162535
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5015832
- OpenAlex
- W2515600722
- Cited by
- 146
- References
- 65
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 21 · 2023: 15 · 2022: 17 · 2021: 21 · 2020: 16 · 2019: 17 · 2018: 9 · 2017: 8
- FWCI
- 11.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Bill and Melinda Gates Foundation (OPP53227)
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Child Nutrition and Water Access
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Food Security and Socioeconomic Dynamics
- Keywords
- on-farm diversity, market diversity, dietary diversity, rural households, mothers, food purchasing, market participation, food security, self-consumption, endogeneity, seasonal variation, southern Benin
- MeSH terms
- Farms, Adolescent, Adult, Benin, Child, Preschool, Diet, Family Characteristics, Food Supply, Humans, Infant, Middle Aged, Models, Theoretical, Mothers, Rural Population, Models, Econometric, Marketing, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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