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      Cassava Trait Preferences of Men and Women Farmers in Nigeria: Implications for Breeding

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          Abstract

          Nigeria is the world’s largest cassava producer, hosting a diverse array of cassava farmers and processors. Cassava breeding programs prioritize “common denominator” traits in setting breeding agendas, to impact the largest possible number of people through improved varieties. This approach has been successful, but cassava adoption rates are less than expected, with room for improvement by integrating traits in demand by farmers and processors. This paper aims to inform breeding priority setting, by examining trait and varietal preferences of men and women cassava farmer/processors. Men and women in eight communities in Southwest and Southeast Nigeria were consulted using mixed methods. Women and men had significantly different patterns of cassava use in the Southwest. Fifty-five variety names were recorded from the communities demonstrating high genetic diversity maintained by growers, especially in the Southeast. High yield, early maturity, and root size were most important traits across both regions, while traits women and men preferred followed gender roles: women prioritized product quality/cooking traits, while men placed higher priority on agronomic traits. Trait preference patterns differed significantly between the Southeast and Southwest, and showed differentiation based on gender. Patterns of access to stem sources were determined more by region and religion than gender.

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          Gender: An Intersectionality Perspective

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            Seed systems smallholder farmers use

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              Prospects for Genomic Selection in Cassava Breeding

              Cassava (Manihot esculenta Crantz) is a clonally propagated staple food crop in the tropics. Genomic selection (GS) has been implemented at three breeding institutions in Africa to reduce cycle times. Initial studies provided promising estimates of predictive abilities. Here, we expand on previous analyses by assessing the accuracy of seven prediction models for seven traits in three prediction scenarios: cross-validation within populations, cross-population prediction and cross-generation prediction. We also evaluated the impact of increasing the training population (TP) size by phenotyping progenies selected either at random or with a genetic algorithm. Cross-validation results were mostly consistent across programs, with nonadditive models predicting of 10% better on average. Cross-population accuracy was generally low (mean = 0.18) but prediction of cassava mosaic disease increased up to 57% in one Nigerian population when data from another related population were combined. Accuracy across generations was poorer than within-generation accuracy, as expected, but accuracy for dry matter content and mosaic disease severity should be sufficient for rapid-cycling GS. Selection of a prediction model made some difference across generations, but increasing TP size was more important. With a genetic algorithm, selection of one-third of progeny could achieve an accuracy equivalent to phenotyping all progeny. We are in the early stages of GS for this crop but the results are promising for some traits. General guidelines that are emerging are that TPs need to continue to grow but phenotyping can be done on a cleverly selected subset of individuals, reducing the overall phenotyping burden.
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                Author and article information

                Contributors
                hat36@cornell.edu
                Journal
                Econ Bot
                Econ. Bot
                Economic Botany
                Springer US (New York )
                0013-0001
                1874-9364
                12 July 2018
                12 July 2018
                2018
                : 72
                : 3
                : 263-277
                Affiliations
                [1 ]ISNI 0000 0001 0943 0718, GRID grid.425210.0, International Institute of Tropical Agriculture (IITA), ; Ibadan, Nigeria
                [2 ]ISNI 0000 0004 1764 1672, GRID grid.423756.1, Council on Science and Industrial Research-Crops Research Institute (CSIR-CRI), ; Accra, Ghana
                [3 ]ISNI 0000 0004 1785 3042, GRID grid.463494.8, National Root Crops Research Institute (NRCRI), ; Umudike, Nigeria
                [4 ]ISNI 0000 0004 0390 1306, GRID grid.424161.4, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), ; Bonn, Germany
                [5 ]ISNI 000000041936877X, GRID grid.5386.8, Cornell University, ; Ithaca, New York USA
                Article
                9421
                10.1007/s12231-018-9421-7
                6267705
                30573920
                24ba3c55-4f2c-4e4e-a786-84f30fb81048
                © The Author(s) 2018

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 2 March 2017
                : 18 June 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009083, College of Agriculture and Life Sciences, Cornell University;
                Award ID: OPP1048542
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1048542
                Funded by: FundRef http://dx.doi.org/10.13039/501100000278, Department for International Development;
                Award ID: OPP1048542
                Funded by: CGIAR Research Program on Roots, Tubers and Bananas (RTB)
                Award ID: 01-12-RTB
                Categories
                Article
                Custom metadata
                © The New York Botanical Garden 2018

                Agricultural economics & Resource management
                plant breeding,cassava,gender,trait preferences,nigeria

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