Table S6. Flowering time-related (FTR) genes in B. napus detected using Arabidopsis FTR genes as queries via BLASTP analysis. In total, 1173 genes in B. napus were detected using 306 A. thaliana flowering time genes as queries. (XLSX 67 kb
The effect of different BnaC3.FRI haplotypes on mean days to flowering in SORs (accession numbers of...
Flowering time is a key agronomic trait, directly influencing crop yield and quality. Many flowering...
The prediction of the flowering time (FT) trait in Brassica napus based on genome-wide markers and t...
Table S7. Identification of differentially expressed FTR genes in B. napus in leaves and shoots betw...
Table S4. Genes detected in QTL regions. In total, 3436 genes were detected in QTL regions. (XLSX 19...
Table S8. Expression analysis of genes of QTL regions in the four samples using RNA-Seq data. EL: le...
Table S5. Significantly enriched pathways among DEGs in leaves and shoots between early- and late-fl...
Table S2. Primers used for qRT-PCR verification. In total, 47 DEGs were selected to confirm the accu...
Table S3. Correlation of flowering times among the six environments. 09Gi: Germany in 2009; 12Cq: Ch...
Table S1. Temperature data of each environment. Maximum and minimal temperature data of each environ...
Table S9. Identification of differentially expressed genes in QTL regions. L-log2 Fold change: fold ...
Abstract Background Optimum flowering time is a key agronomic trait in Brassica napus. To investigat...
Timely flowering is important for seed formation and maximization of rapeseed (Brassica napus) yield...
Flowering time is strongly related to the environment, while the genotype-by-environment interaction...
Flowering time is strongly related to the environment, while the genotype-by-environment interaction...
The effect of different BnaC3.FRI haplotypes on mean days to flowering in SORs (accession numbers of...
Flowering time is a key agronomic trait, directly influencing crop yield and quality. Many flowering...
The prediction of the flowering time (FT) trait in Brassica napus based on genome-wide markers and t...
Table S7. Identification of differentially expressed FTR genes in B. napus in leaves and shoots betw...
Table S4. Genes detected in QTL regions. In total, 3436 genes were detected in QTL regions. (XLSX 19...
Table S8. Expression analysis of genes of QTL regions in the four samples using RNA-Seq data. EL: le...
Table S5. Significantly enriched pathways among DEGs in leaves and shoots between early- and late-fl...
Table S2. Primers used for qRT-PCR verification. In total, 47 DEGs were selected to confirm the accu...
Table S3. Correlation of flowering times among the six environments. 09Gi: Germany in 2009; 12Cq: Ch...
Table S1. Temperature data of each environment. Maximum and minimal temperature data of each environ...
Table S9. Identification of differentially expressed genes in QTL regions. L-log2 Fold change: fold ...
Abstract Background Optimum flowering time is a key agronomic trait in Brassica napus. To investigat...
Timely flowering is important for seed formation and maximization of rapeseed (Brassica napus) yield...
Flowering time is strongly related to the environment, while the genotype-by-environment interaction...
Flowering time is strongly related to the environment, while the genotype-by-environment interaction...
The effect of different BnaC3.FRI haplotypes on mean days to flowering in SORs (accession numbers of...
Flowering time is a key agronomic trait, directly influencing crop yield and quality. Many flowering...
The prediction of the flowering time (FT) trait in Brassica napus based on genome-wide markers and t...