LightGBM: accelerated genomically designed crop breeding through ensemble learning

LightGBM: accelerated genomically designed crop breeding through ensemble learning

Abstract LightGBM is an ensemble model of decision trees for classification and regression prediction. We demonstrate its utility in genomic selection-assisted breeding with a large dataset of inbred and hybrid maize lines. LightGBM exhibits superior performance in terms of prediction precision, mod...

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Bibliographic Details
Main Authors: Jun Yan, Yuetong Xu, Qian Cheng, Shuqin Jiang, Qian Wang, Yingjie Xiao, Chuang Ma, Jianbing Yan, Xiangfeng Wang
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Genome Biology
Subjects:
Genomic prediction
Genomic selection
Machine learning
Ensemble learning
Maize
Crop breeding
Online Access:https://doi.org/10.1186/s13059-021-02492-y

Internet

https://doi.org/10.1186/s13059-021-02492-y

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