Similar Items: Multi-trait genomic prediction models enhance the predictive ability of grain trace elements in rice
- Validation of genes affecting rice grain zinc content through candidate gene-based association analysis
- Genomic prediction of yield traits in single-cross hybrid rice (Oryza sativa L.)
- Identification of potential zinc deficiency responsive genes and regulatory pathways in rice by weighted gene co-expression network analysis
- Rapid identification of qtl for mesocotyl length in rice through combining QTL-seq and genome-wide association analysis
- QTL mapping and favorable allele mining of nitrogen deficiency tolerance using an interconnected breeding population in rice
- Genomic prediction using composite training sets is an effective method for exploiting germplasm conserved in rice gene banks
Author: Muvunyi, Blaise Pascal
Author: Zou, Wenli
- Genome-Wide Association Study for Seed Dormancy Using Re-Sequenced Germplasm under Multiple Conditions in Rice
- Advances in the uptake and transport mechanisms and QTLs mapping of cadmium in rice
- Genome-wide association study using a Multiparent Advanced Generation Intercross (MAGIC) population identified QTLs and candidate genes to predict shoot and grain zinc contents in rice
- Mapping QTLs and gene validation studies for Mg2+ uptake and translocation using a MAGIC population in rice
- Knockout of cadmium sensitive gene 1 confers enhanced cadmium tolerance in rice (Oryza sativa L.) by regulating the subcellular distribution of cadmium
- Multi-trait genomic prediction models enhance the predictive ability of grain trace elements in rice