Accession PRJCA002431
Title OutcrossSeq for maize
Relevance Agricultural
Data types Variation
Organisms Zea mays
Description we developed a method OutcrossSeq for mapping agronomically important loci in outcrossing crop based on whole-genome low-cost resequencing of large genetic population.We applied OutcrossSeq in hybrid crops (maize,Double Cross
Sample scope Monoisolate
Release date 2020-12-31
Grants
Agency program Grant ID Grant title
Shanghai Normal University 31825015
Submitter chen    mengjiao  (mjchenjojo@163.com)
Organization Shanghai Normal University
Submission date 2020-03-23

Project Data

Resource name Description
BioSample (804)  show -