Genomic prediction and QTL mapping of root system architecture and above-ground agronomic traits in rice (<i>Oryza sativa</i> L.) with a multitrait index and Bayesian networks
oleh: Santosh Sharma, Shannon R M Pinson, David R Gealy, Jeremy D Edwards
| Format: | Article |
|---|---|
| Diterbitkan: | Oxford University Press 2021-05-01 |
Deskripsi
AbstractRoot system architecture (RSA) is a crucial factor in resource acquisition and plant productivity. Roots are difficult to phenotype in the field, thus new tools for predicting phenotype from genotype are particularly valuable for plant breeders aiming to improve RSA. This study identifies quantitative trait loci (QTLs) for RSA and agronomic traits in a rice (Oryza sativa