“…First, abundant genomic information is available for Brassica and Brassicaceae germplasm, including high‐quality reference genomes (Table S2 ), organelle genomes (Mohd Saad et al ., 2021 ), pangenomes (Golicz et al ., 2016 ; Hurgobin et al ., 2018 ; Song et al ., 2020 ), gene annotations, transcriptomes, and high‐throughput genotypes for thousands of cultivars and breeding lines that have been identified by SNP chips and sequencing approaches (An et al ., 2019 ; Cheng et al ., 2016 ; Lu et al ., 2019 ; Schmutzer et al ., 2015 ; Wu et al ., 2018 ; Zhang et al ., 2017c ). These data were stored in public platforms for sharing and remaining including the Brassica Database ( http://39.100.233.196 ), the Brassica napus Genome Browser ( https://wwwdev.genoscope.cns.fr/brassicanapus/ ) (Chalhoub et al ., 2014 ), BnPedigome ( http://ibi.zju.edu.cn/bnpedigome/index.php ) (Zou et al ., 2019 ), BnaSNPDB ( http://rapeed.zju.edu.cn:3838/bnasnpdb ) (Yan et al ., 2020 ), and BnPIR ( http://cbi.hzau.edu.cn/bnapus/ ) (Song et al ., 2021b ). High‐throughput genotyping by whole‐genome sequencing, target segment sequencing and SNP‐chip array is ongoing for Brassica germplasm, and these data resources and genotyping techniques are becoming increasingly inexpensive and convenient for exploring Brassica pangenomic variation, and especially for identifying and introducing favourable genes and alleles into the B. napus gene pool.…”