five

Optimizing population simulations to accurately parallel empirical data for digital breeding

收藏
DataCite Commons2025-07-09 更新2026-04-25 收录
下载链接:
https://hdl.handle.net/11299/272874
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains the genome-wide association study (GWAS) output used to simulate traits across environments. The GWAS output includes single nucleotide polymorphisms and imputed structural variants for a population of hybrids that were developed from crosses of 333 maize recombinant inbred lines. The GWAS data includes results for each of four traits (ear height, plant height, grain moisture, and grain yield), which were measured in four to eleven environments. Marker effect sizes from this GWAS were used to simulate the same hybrids that were used to conduct the GWAS in order to assess the accuracy of the simulations and determine concordance between simulated phenotypes and empirical data.
提供机构:
Data Repository for the University of Minnesota (DRUM)
创建时间:
2025-07-09
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