Gender and social targeting in plant breeding

cg.authorship.typesCGIAR multi-centreen
cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen
cg.contributor.crpRoots, Tubers and Bananas
cg.creator.identifierYating Ru: 0000-0001-9071-0687en
cg.identifier.projectIFPRI - Environment and Production Technology Divisionen
cg.identifier.publicationRankNot rankeden
cg.issn2309-6586en
cg.placeLima, Peruen
cg.reviewStatusInternal Reviewen
dc.contributor.authorOrr, Alastairen
dc.contributor.authorCox, Cindy M.en
dc.contributor.authorRu, Yatingen
dc.contributor.authorAshby, Jacqueline A.en
dc.date.accessioned2018-03-05T21:35:36Zen
dc.date.available2018-03-05T21:35:36Zen
dc.identifier.urihttps://hdl.handle.net/10568/91276
dc.titleGender and social targeting in plant breedingen
dcterms.abstractGender and social targeting can improve the relevance and effectiveness of plant-breeding programs serving resource-poor farmers, traders, processors, and consumers. Generally, these breeding programs have limited information about their clients, which makes it difficult to prioritize breeding objectives. As a result, products from these breeding programs may not meet the needs of their intended users. We argue that plant breeding for resource-poor farmers, sellers, and processors requires a marketing approach. We show how the Segmenting-Targeting-Positioning (STP) framework from consumer marketing can be adapted for gender and social targeting in these programs. First, Segment the market, or identify groups of consumers with homogeneous preferences (“market segments”). Second, Target those market segments that meet the programs’ equity objectives, are big enough to justify the investment, and whose preferences match physical traits. Third, Position new products in the market by showing how these new products meet the preferences of their intended users. The STP framework is broken down into eight logical steps which provide a checklist for gender and social targeting. The result is a “customer profile” (just like a breeders’ “product profile”), which combines demographic, behavioral, and geographic variables with a set of trait preferences to describe a market segment. A customer profile gives the program a clear picture of whom the program is breeding for, the expected number of customers, and why they prefer specific traits. To prioritize breeding objectives, breeders must have an accurate picture of the relative size and social character of different client groups. Currently, information about these clients and their trait preferences is based on small-scale studies, which makes it difficult to set breeding priorities at the national or regional level. But the growing number and availability of large datasets make it possible to define growers and crop utilization on a much bigger scale. We inventory large datasets, identify a minimum dataset of biophysical and socioeconomic variables, and show how these variables can be layered for gender and social targeting at the national level. Datasets include the Living Standards Measurement Study–Integrated Surveys on Agriculture (LSMS–ISA), the Women’s Empowerment in Agriculture Index (WEAI), and the Demographic and Health Surveys (DHS) Program. We use the example of cassava in Nigeria to illustrate how these datasets can help breeding programs incorporate gender into their customer profiles.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationOrr, A., Cox, C.M., Ru, Y. and Ashby, J. 2018. Gender and social targeting in plant breeding. CGIAR Gender and Breeding Initiative Working Paper 1. Lima (Peru): CGIAR Gender and Breeding Initiativeen
dcterms.extent48 p.en
dcterms.issued2018-03en
dcterms.languageen
dcterms.licenseCC-BY-NC-SA-4.0
dcterms.publisherCGIAR System Organizationen
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/6494en
dcterms.subjectgenderen
dcterms.subjectbreedingen
dcterms.subjectplant breedingen
dcterms.subjectwomenen
dcterms.typeWorking Paper

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