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Accession PRJCA004682
Title Decode the breeding utilization genomic blocks between wheat varieties with Hidden Markov Model based method to accelerating the understanding of modern wheat breeding /germplasm network
Relevance Agricultural
Data types Whole genome sequencing
Organisms Triticum aestivum
Description We provided a novel method to precisely evaluate the genetic resources from current accessions with available resequencing data. Our work provides a guide strategy for understanding the utilization of beneficial alleles during modern wheat breeding process.
Sample scope Multiisolate
Release date 2021-03-15
Publication
PubMed ID Article title Journal name DOI Year
35088857 ggComp enables dissection of germplasm resources and construction of a multiscale germplasm network in wheat Plant Physiology 10.1093/plphys/kiac029 2022
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) NA
Submitter zhengzhao    yang  (yangzhengzhao@cau.edu.cn)
Organization China Agricultural University
Submission date 2021-03-11

Project Data

Resource name Description
BioSample (24)  show -
GSA (1) -
CRA004026 Decode the breeding utilization genomic blocks between wheat varieties with Hidden Markov Model based method to accelerating the understanding of modern wheat breeding /germplasm network