Biofortification is the process of increasing the density of vitamins and minerals in a crop through plant breeding-using either conventional methods or genetic engineering-or through agronomic practices. Over the past 15 years, conventional breeding efforts have resulted in the development of varieties of several staple food crops with significant levels of the three micronutrients most limiting in diets: zinc, iron, and vitamin A. More than 15 million people in developing countries now grow and consume biofortified crops. Evidence from nutrition research shows that biofortified varieties provide considerable amounts of bioavailable micronutrients, and consumption of these varieties can improve micronutrient deficiency status among target populations. Farmer adoption and consumer acceptance research shows that farmers and consumers like the various production and consumption characteristics of biofortified varieties, as much as (if not more than) popular conventional varieties, even in the absence of nutritional information. Further development and delivery of these micronutrient-rich varieties can potentially reduce hidden hunger, especially in rural populations whose diets rely on staple food crops. Future work includes strengthening the supply of and the demand for biofortified staple food crops and facilitating targeted investment to those crop-country combinations that have the highest potential nutritional impact.
Highlights About 29% of households in Rwanda have grown an iron-biofortified bean variety. Formal delivery approaches of iron-biofortified beans increase adoption speed. Diffusion via social networks is a major driver of rapid adoption of iron-biofortified beans. Women farmers disadopt iron-biofortified bean varieties more slowly than do male farmers.
While the migration of public opinion surveys to online platforms has often lowered costs and enhanced timeliness, it has also created new vulnerabilities. Respondents completing the same survey multiple times from different IP addresses, overseas workers posing as Americans, and algorithms designed to complete surveys are among the threats that have emerged in this new era. This paper is an attempt to measure the prevalence of such respondents and their impact on survey data quality, while demonstrating methodological approaches for doing so. Prior studies typically examine just one platform and rely on closed-ended questions and/or paradata (e.g., IP addresses) to identify untrustworthy interviews. This is problematic because such data are relatively easy for bad actors to fake. We carried out a large-scale study with an eye toward overcoming these limitations. This study examines the threat of insincere respondents using large samples from six online platforms: three opt-in survey panels, two address-recruited survey panels, and a crowdsourced sample. Rather than relying solely on closed-ended responses, we incorporated an analysis of 375,834 open-ended answers. By their very nature, open-ended questions offer a more sensitive indicator of whether a respondent is genuine or not. The study found that the incidence of insincere respondents varied significantly by the type of online sample. Critically, insincere respondents did not just answer at random, but rather they tended to select positive answer choices, introducing a small, systematic bias into estimates like presidential approval. Two common data-quality checks failed to detect most insincere respondents.
Purpose – The purpose of this paper is to explore farmer acceptance of a biofortified staple food crop in a developing country prior to its commercialization. The paper focuses on the hypothetical introduction of a high-iron pearl millet variety in Maharashtra, India, where pearl millet is among the most important staple crops. Design/methodology/approach – A choice experiment is used to investigate farmer preferences for and trade-offs among various production and consumption attributes of pearl millet. The key pearl millet attributes studied include days it takes pearl millet to mature, color of the roti (flat bread) the grain produces, the presence of high-iron content (nutritional attribute), and the price of the pearl millet seed. Choice data come from 630 pearl millet-producing households from three purposefully selected districts of Maharashtra. A latent class model is used to investigate the heterogeneity in farmers’ preferences for pearl millet attributes and to profile farmers who are more or less likely to choose high-iron varieties of pearl millet. Findings – The results reveal that there are three distinct segments in the sample, and there is significant heterogeneity in farmer preferences across these segments. High-iron pearl millet is valued the most by larger households that produce mainly for household consumption and currently have lower quality diets. Households that mainly produce for market sales, on the other hand, derive lower benefits from consumption characteristics such as color and nutrition. Research limitations/implications – The main limitation of the study is that it uses a stated preference choice experiment method, which suffers from hypothetical bias. At the time of implementing this study biofortified high-iron pearl millet varieties were not yet developed, therefore the authors could not have implemented revealed preference elicitation methods with real products and payment. Originality/value – The method used (stated preference choice experiment method) is commonly used to value non-market goods such as environmental goods and products that are not yet in the market. It’s application to agriculture and in developing countries is increasing. As far as the authors know this is the first choice experiment implemented to investigate farmer/consumer preferences for biofortified crops. The study presents valuable information for development and delivery of biofortified crops for reducing micronutrient deficiencies.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.