| Accession |
PRJCA022034 |
| Title |
National Kev R& D Project |
| Relevance |
Agricultural |
| Data types |
Phenotype or Genotype
|
| Organisms |
Glycine max
|
| Description |
This study provides reasonable suggestions and methods for breeders to use public datasets to perform GS, and it will aid breeders to develop GS-assisted breeding strategies to develop elite soybean cultivars with high oil and protein contents. |
| Sample scope |
Multiisolate |
| Release date |
2023-12-13 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
|
|
Ability of Genomic Prediction to Bi-Parent-Derived Breeding Population Using Public Data for Soybean Oil and Protein Content
|
Plants
|
10.3390/plants13091260
|
2024
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Ministry of Science and Technology of the People's Republic of China (MOST)
|
|
2021YFD1201602
|
|
|
|
| Submitter |
Chenhui
Li (18317312502@163.com)
|
| Organization |
Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences |
| Submission date |
2023-12-13 |
