Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains
This study used gender-intentional participatory approaches to address the challenges of low genetic correlation and lower genetic gains for small-scale bean producers in sub-Saharan Africa. The differences between on stations and on-farm performance of bean varieties in sub-Saharan bean farming, es...
| Main Authors: | , , , , , |
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| Format: | Blog Post |
| Language: | Inglés |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/131387 |
| _version_ | 1855520079992586240 |
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| author | Nchanji, Eileen Bogweh Mamo, Teshale Assefa Birachi, Eliud Abucheli Lutomia, Cosmas Kweyu Yao, Kouadio Nasser Mlalila, Fabiano |
| author_browse | Birachi, Eliud Abucheli Lutomia, Cosmas Kweyu Mamo, Teshale Assefa Mlalila, Fabiano Nchanji, Eileen Bogweh Yao, Kouadio Nasser |
| author_facet | Nchanji, Eileen Bogweh Mamo, Teshale Assefa Birachi, Eliud Abucheli Lutomia, Cosmas Kweyu Yao, Kouadio Nasser Mlalila, Fabiano |
| author_sort | Nchanji, Eileen Bogweh |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study used gender-intentional participatory approaches to address the challenges of low genetic correlation and lower genetic gains for small-scale bean producers in sub-Saharan Africa.
The differences between on stations and on-farm performance of bean varieties in sub-Saharan bean farming, especially for women farmers with limited resources, may cause low genetic correlation and lower genetic gains for small-scale producers. Traditional breeding methods take several years and costly, making it challenging to meet evolving farmer needs. The study employs gender-intentional participatory approaches to address these challenges, incorporating women's preferences and production environments from the early stages of variety development. We know that men and women farmers often have different trait preferences influenced by gender roles and knowledge, and capturing these gender and socioeconomic differences is crucial for accelerating genetic gains on farm. In addition, gender and socioeconomic data are needed to guide breeding at the design stage of any breeding program. |
| format | Blog Post |
| id | CGSpace131387 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| record_format | dspace |
| spelling | CGSpace1313872023-10-17T17:05:40Z Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains Nchanji, Eileen Bogweh Mamo, Teshale Assefa Birachi, Eliud Abucheli Lutomia, Cosmas Kweyu Yao, Kouadio Nasser Mlalila, Fabiano gender analysis genomics participatory approaches intersectionality breeding lines This study used gender-intentional participatory approaches to address the challenges of low genetic correlation and lower genetic gains for small-scale bean producers in sub-Saharan Africa. The differences between on stations and on-farm performance of bean varieties in sub-Saharan bean farming, especially for women farmers with limited resources, may cause low genetic correlation and lower genetic gains for small-scale producers. Traditional breeding methods take several years and costly, making it challenging to meet evolving farmer needs. The study employs gender-intentional participatory approaches to address these challenges, incorporating women's preferences and production environments from the early stages of variety development. We know that men and women farmers often have different trait preferences influenced by gender roles and knowledge, and capturing these gender and socioeconomic differences is crucial for accelerating genetic gains on farm. In addition, gender and socioeconomic data are needed to guide breeding at the design stage of any breeding program. 2023-07 2023-08-03T11:02:07Z 2023-08-03T11:02:07Z Blog Post https://hdl.handle.net/10568/131387 en Open Access application/vnd.openxmlformats-officedocument.wordprocessingml.document Nchanji, E.B.; Mamo, T.A.; Birachi, E.A.; Lutomia, C.K.; Yao, K.N.; Mlalila, F. (2023) Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains. 3 p. |
| spellingShingle | gender analysis genomics participatory approaches intersectionality breeding lines Nchanji, Eileen Bogweh Mamo, Teshale Assefa Birachi, Eliud Abucheli Lutomia, Cosmas Kweyu Yao, Kouadio Nasser Mlalila, Fabiano Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains |
| title | Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains |
| title_full | Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains |
| title_fullStr | Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains |
| title_full_unstemmed | Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains |
| title_short | Gender-responsive genomic selection on farmer’s fields for accelerating genetic gains |
| title_sort | gender responsive genomic selection on farmer s fields for accelerating genetic gains |
| topic | gender analysis genomics participatory approaches intersectionality breeding lines |
| url | https://hdl.handle.net/10568/131387 |
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