Sparse phenotyping and haplotype-based models for genomic prediction in rice
The multi-environment genomic selection enables plant breeders to select varieties resilient to diverse environments or particularly adapted to specific environments, which holds a great potential to be used in rice breeding. To realize the multi-environment genomic selection, a robust training set...
| Autores principales: | , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/163941 |
Ejemplares similares: Sparse phenotyping and haplotype-based models for genomic prediction in rice
- Genome-wide association mapping revealed SNP alleles associated with resistance to cereal cystn nematode (Heterodera filipjevi) in wheat
- A mid-density single-nucleotide polymorphism panel for molecular applications in cowpea (Vigna unguiculata (L.) Walp)
- Association mapping in bambara groundnut [Vigna subterranea (L.) Verdc.] reveals loci associated with agro-morphological traits
- Genetic dissection of plant height in spring wheat from Pakistan using genome-wide SNPs and allele-specific Rht markers
- Genetic control of root architectural traits under drought stress in spring barley (Hordeum vulgare L.)
- Development of a research platform for dissecting phenotype-genotype associations in rice (Oryza spp.)