five

Capturing genetic variation in crop wild relatives: an evolutionary approach

收藏
DataONE2020-06-24 更新2025-07-19 收录
下载链接:
https://search.dataone.org/view/sha256:5aef3f68243c74ac406885b1ad266912508996317d995620e78dde25262466fb
下载链接
链接失效反馈
官方服务:
资源简介:
Crop wild relatives (CWRs) offer novel genetic resources for crop improvement. To assist in the urgent need to collect and conserve CWR germplasm, we advance here the concept of an ‘evolutionary’ approach. Central to this approach is the predictive use of spatial proxies of evolutionary processes (natural selection, gene flow, and genetic drift) to locate and capture genetic variation. As a means to help validate this concept, we screened wild-collected genotypes of woodland strawberry (Fragaria vesca) in a common garden. A quantitative genetics approach was then used to test the ability of two such proxies – mesoclimatic variation (a proxy of natural selection) and landscape isolation and geographic distance between populations (proxies of gene flow potential) – to predict spatial genetic variation in three quantitative traits (plant size, early season flower number, and flower frost tolerance). Our results indicated a significant but variable effect of mesoclimatic conditions in struc...
创建时间:
2025-07-02
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作