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dc.creatorMcDougall, C.en_US
dc.creatorKariuki, J.en_US
dc.creatorLenjiso, B.M.en_US
dc.creatorMarimo, P.en_US
dc.creatorMehar, M.en_US
dc.creatorMurphy, S.en_US
dc.creatorTeeken, B.en_US
dc.creatorAkester, M.J.en_US
dc.creatorBenzie, J.en_US
dc.creatorGaliè, A.en_US
dc.creatorKulakow, P.en_US
dc.creatorMekkawy, W.en_US
dc.creatorWopong, N.en_US
dc.creatorOjango, J.M.en_US
dc.creatorTumuhimbise, R.en_US
dc.creatorUwimana, B.en_US
dc.creatorOrr, A.en_US
dc.date.accessioned2023-06-01T06:26:57Z
dc.date.available2023-06-01T06:26:57Z
dc.date.issued2022en_US
dc.identifier.citationCynthia McDougall, Juliet Kariuki, Birhanu Lenjiso, Pricilla Marimo, Mamta Mehar, Seamus Murphy, Bela Teeken, Michael Akester, John Benzie, Alessandra Galiè, Peter Kulakow, Wagdy Mekkawy, Nkengla Lilian Wopong, Julie Ojango, Robooni Tumuhimbise, Brigitte Uwimana, Alastair Orr. (30/8/2022). Understanding gendered trait preferences: Implications for client-responsive breeding programs. PLOS Sustainability and Transformation.en_US
dc.identifier.issn2767-3197en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12348/5504
dc.description.abstractClient-responsiveness is a foundation for effectiveness of public sector breeding programs in agriculture, aquaculture and livestock. However, there remains a considerable lack of clarity about what this means, specifically in terms of how programs can be gender-responsive. This study contributes to addressing that need. It does so through sharing higher-level insights emerging from the combined experiences of eight gendered trait preference cases from across nine countries in Asia and Africa. The cases spanned crops, fish and livestock. This study inquires into the nature of gendered trait preference information that can be generated, if there are systematic gendered preference differences and how to understand these, and implications for breeding programs seeking to be more gender-responsive. Key findings include that while not all data are immediately usable by programs, the information that is generated through mixed method, intersectional gender preference assessments usefully deepens and widens programs’ knowledge. The study evidences differences in trait preferences between women and men. It also reveals that these differences are more complex than previously thought. In doing so, it challenges binary or homogenous models of preferences, suggesting instead that preferences are likely to be overlapping and nuanced. The study applies a novel ‘Three models of gendered trait preferences’ framework and sub-framework and finds these useful in that they challenge misconceptions and enable a needed analytical nuance to inform gender-responsive breeding programs. Finally, the study highlights implications and offers a call to action for gender-responsive breeding, proposing ways forward for public breeding programs, teams and funding agencies. These include investments in interdisciplinary capabilities and considerations for navigating trade-offs while orienting to sustainable development goals.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherPublic Library of Scienceen_US
dc.rightsCC-BY-4.0en_US
dc.sourcePLOS Sustainability and Transformation;(2022)en_US
dc.subjectno povertyen_US
dc.subjectzero hungeren_US
dc.subjectlife below wateren_US
dc.subjectresilient agrifood systemsen_US
dc.titleUnderstanding gendered trait preferences: Implications for client-responsive breeding programsen_US
dc.typeJournal Articleen_US
cg.contributor.crpRoots, Tubers and Bananasen_US
cg.contributor.crpFishen_US
cg.contributor.crpGrain Legumes and Dryland Cerealsen_US
cg.contributor.funderUnited States Agency for International Developmenten_US
cg.coverage.countryBangladeshen_US
cg.coverage.countryEgypten_US
cg.coverage.countryIndiaen_US
cg.coverage.countryKenyaen_US
cg.coverage.countryMalien_US
cg.coverage.countryMyanmaren_US
cg.coverage.countryNigeriaen_US
cg.coverage.countryUnited Republic of Tanzaniaen_US
cg.coverage.countryUgandaen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.regionNorthern Africaen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionWestern Africaen_US
cg.coverage.regionSouth-Eastern Asiaen_US
cg.subject.agrovocbreedingen_US
cg.subject.agrovocfood securityen_US
cg.subject.agrovocgenderen_US
cg.subject.agrovocnutritionen_US
cg.subject.agrovocpoverty reductionen_US
cg.subject.agrovocgender equalityen_US
cg.contributor.affiliationBioversity Internationalen_US
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen_US
cg.contributor.affiliationInternational Institute of Tropical Agricultureen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationCommonwealth Science and Industrial Research Organisationen_US
cg.contributor.affiliationStockholm Environment Instituteen_US
cg.contributor.affiliationWorldFishen_US
cg.contributor.affiliationPennsylvania State Universityen_US
cg.contributor.affiliationUniversity of Hohenheimen_US
cg.contributor.affiliationBoP Innovation Centeren_US
cg.contributor.affiliationOxfam Americaen_US
cg.contributor.affiliationRwebitaba Zonal Agricultural Research and Development Instituteen_US
cg.contributor.affiliationEast African Policy Research Instituteen_US
cg.identifier.statusOpen accessen_US
cg.contribution.worldfishauthorMcDougall, C.en_US
cg.contribution.worldfishauthorMehar, M.en_US
cg.contribution.worldfishauthorMurphy, S.en_US
cg.contribution.worldfishauthorAkester, M.J.en_US
cg.contribution.worldfishauthorBenzie, J.en_US
cg.description.themeGenderen_US
dc.identifier.doihttps://dx.doi.org/10.1371/journal.pstr.0000025en_US
cg.creator.idCynthia McDougall: 0000-0002-5606-6813en_US
cg.creator.idPricilla Marimo: 0000-0003-3754-7176en_US
cg.creator.idSeamus Murphy: 0000-0002-1792-0351en_US
cg.creator.idBela Teeken: 0000-0002-3150-1532en_US
cg.creator.idMichael Joseph Akester: 0000-0001-6526-1613en_US
cg.creator.idJohn Benzie: 0000-0001-9599-8683en_US
cg.creator.idAlessandra Galiè: 0000-0001-9868-7733en_US
cg.creator.idPeter Kulakow: 0000-0002-7574-2645en_US
cg.creator.idWagdy Mekkawy: 0000-0002-3991-7321en_US
cg.creator.idJulie M. K Ojango: 0000-0003-0224-5370en_US
cg.creator.idBrigitte Uwimana: 0000-0001-7460-9001en_US


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