Genomic prediction and QTL analysis for grain Zn content and yield in Aus-derived rice populations
Zinc (Zn) biofortification of rice can address Zn malnutrition in Asia. Identification and introgression of QTLs for grain Zn content and yield (YLD) can improve the efficiency of rice Zn biofortification. In four rice populations we detected 56 QTLs for seven traits by inclusive composite interval...
| Autores principales: | , , , , , , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2024
|
| Acceso en línea: | https://hdl.handle.net/10568/163811 |
Ejemplares similares: Genomic prediction and QTL analysis for grain Zn content and yield in Aus-derived rice populations
- Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map
- Introgression of tsv1 improves tungro disease resistance of a rice variety BRRI dhan71
- Meta-QTL s and haplotypes for efficient zinc biofortification of rice
- Identification of quantitative trait loci underlying resistance and tolerance to the rice root-knot nematode, Meloidogyne graminicola, in Asian rice (Oryza sativa)
- Irrigation management risks and Zn fertilization needs in Zn biofortification breeding in lowland rice
- Biofortified Zn and Fe rice: Potential contribution for dietary mineral and human health