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Article|18 Oct 2024|OPEN
Genomic selection and genetic architecture of agronomic traits during modern flowering Chinese cabbage breeding
Yahui Zhao1,4 , Guangguang Li2,4 , Zhangsheng Zhu1 , Ming Hu1 , Ding Jiang2 , Muxi Chen3 , Juantao Wang1 , Kexin Zhang1 and Yansong Zheng2 , , Yi Liao1 , , Changming Chen,1 ,
1Ministry of Agriculture and Rural Affairs Key Laboratory of South China Horticultural Crop Biology and Germplasm Enhancement, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
2Guangzhou Institute of Agriculture Science, Guangzhou 510308, China
3Guangdong Helinong Biological Seed Industry Co., Ltd, Shantou, Guangdong 515800, China
4Equal contributors
*Corresponding author. E-mail: 18928818797@163.com,yiliao1022@gmail.com,cmchen@scau.edu.cn

Horticulture Research 12,
Article number: uhae299 (2025)
doi: https://doi.org/10.1093/hr/uhae299
Views: 1913

Received: 11 Mar 2024
Accepted: 11 Oct 2024
Published online: 18 Oct 2024

Abstract

Flowering Chinese cabbage is a type of leafy vegetable that belongs to the Brassica genus. Originally native to South China, it is now widely cultivated and consumed across the globe, particularly in Asian countries. The recent cultivation and regional expansion of flowering Chinese cabbage provides a valuable opportunity to elucidate the genomic basis underlying environmental adaptation and desired traits during a short-term artificial selection process. Here, we investigate the genetic variation, population structure, and diversity of a diverse germplasm collection of 403 flowering Chinese cabbage accessions. Our investigation seeks to elucidate the genomic basis that guides the selection of adaptability, yield, and pivotal agronomic traits. We further investigated breeding improvement associated with stem development by integrating transcriptome data. Genome-wide association analysis identified 642 loci and corresponding candidate genes associated with 11 essential agronomic traits, including plant architecture and yield. Furthermore, we uncovered a significant disparity in the allele frequency distribution of nonsynonymous mutations in these candidate genes throughout the improvement stages. Our results shed light on the genetic basis of improvement and crucial agronomic traits in flowering Chinese cabbage, offering invaluable resources for upcoming genomics-assisted breeding endeavors.