Machine learning(ML)is one of the key technologies for next-generation breeding,and“big data”is the cornerstone for development of ML algorithms that are applicable to crop breeding practices.Currently,there is a sh...Machine learning(ML)is one of the key technologies for next-generation breeding,and“big data”is the cornerstone for development of ML algorithms that are applicable to crop breeding practices.Currently,there is a shortage of databases containing phenotype data and corresponding genomic data,i.e.,genome-to-phenotype(G2P)paired data,that can be used in the development of ML algorithms for breeding.To fill this gap,we constructed a user-friendly database named the BreedingAIDB(http://ibi.zju.edu.cn/BreedingAIDB)to provide breeders and ML experts with easily accessible G2P paired data for crops,as well as ML tools.展开更多
基金supported by the STI2030-Major Projects(2023ZD04076)the Hainan Province Science and Technology Special Fund(ZDYF2022XDNY271).
文摘Machine learning(ML)is one of the key technologies for next-generation breeding,and“big data”is the cornerstone for development of ML algorithms that are applicable to crop breeding practices.Currently,there is a shortage of databases containing phenotype data and corresponding genomic data,i.e.,genome-to-phenotype(G2P)paired data,that can be used in the development of ML algorithms for breeding.To fill this gap,we constructed a user-friendly database named the BreedingAIDB(http://ibi.zju.edu.cn/BreedingAIDB)to provide breeders and ML experts with easily accessible G2P paired data for crops,as well as ML tools.
