Smart Breeding Platform:A web-based tool for high-throughput population genetics,phenomics,and genomic selection  

作　　者：Huihui Li Xin Li Peng Zhang Yingwei Feng Junri Mi Shang Gao Lele Sheng Mohsin Ali Zikun Yang Liang Li Wei Fang Wensheng Wang Qian Qian Fei Gu Wenbin Zhou 

机构地区：[1]State Key Laboratory of Crop Gene Resources and Breeding,Institute of Crop Sciences,Chinese Academy of Agricultural Sciences(CAAS),Beijing 100081,China [2]Nanfan Research Institute,CAAS,Sanya,Hainan 572024,China [3]DAMO Academy,Alibaba Group,Hangzhou 310023,China [4]Hupan Lab,Hangzhou 310023,China [5]Yazhouwan National Laboratory,No.8 Huanjin Road,Yazhou District,Sanya City,Hainan Province 572024,China [6]State Key Laboratory of Rice Biology,China National Rice Research Institute,Hangzhou,Zhejiang 310006,China

出　　处：《Molecular Plant》2024年第5期677-681,共5页分子植物（英文版）

基　　金：supported by the Alibaba Foundation,the National Natural Science Foundation of China(32188102 and 32361143514);the Innovation Program of Chinese Academy of Agricultural Sciences,and the Project of Hainan Yazhou Bay Seed Lab(B21HJ0223).

摘　　要：Dear Editor,In the era of big data and artificial intelligence,"smart breeding"has become a broad conceptual framework encompassing the paradigm shift of crop breeding to relying on analysis of high-throughput population genetics and phenomics data to conduct genomic selection,allowing identification and optimal use of the genetic potential in crop species(Xiao et al.,2022;Xu et al.,2022;Wang et al.,2023).Most existing tools for analyzing high-throughput breeding data require extensive computational power,complex installation processes,and command-line expertise and are therefore challenging and inconvenient for the majority of researchers and breeders(Brandies and Hogg,2021).

关 键 词：BREEDING artificial BREED 

分 类 号：Q94[生物学—植物学]