“…The release of several reference genomes, such as Darmor v4.1 and v10 (Chalhoub et al ., 2014 ; Rousseau‐Gueutin et al ., 2020 ) and ZS11.v0, v10 and v2 (Chen et al ., 2021 ; Song et al ., 2020 ; Sun et al ., 2017 ), and the application of SNP chips (Edwards et al ., 2013 ; Li et al ., 2023a ; Xiao et al ., 2021 ) in rapeseed provide opportunities for discovering key genes controlling silique number in rapeseed. In addition, several QTL mapping methods have been developed for identifying candidate genes associated with important agronomic traits in rapeseed, such as natural‐population‐based GWAS (He et al ., 2017 ; Khan et al ., 2021 ), transcriptome‐wide association analysis (TWAS) (Tan et al ., 2022 ; Tang et al ., 2021 ) and parental‐population‐based linkage analysis methods such as bulked segregant RNA sequencing (BSR) (Fu et al ., 2019 ) and bulked segregant analysis (BSA) (Wang et al ., 2016 ; Yu et al ., 2023 ; Zhao et al ., 2020 ). Databases built upon these data, such as A Gene Expression Database for Brassica Crops (BrassicaEDB, https://brassica.biodb.org/ ) (Chao et al ., 2020 ), qPCR Primer Database (qPrimerDB, https://qprimerdb.biodb.org/ ) (Lu et al ., 2018 ), Brassicaceae Database (BRAD, http://www.brassicadb.cn/#/ ) (Chen et al ., 2022 ) and Brassica napus multi‐omics information resource (BnIR, https://yanglab.hzau.edu.cn/BnIR ) (Yang et al ., 2023 ), provide important data resources and analysis platforms for genetic breeding research in rapeseed.…”