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CropARNet:A deep learning framework for crop genomic prediction with attention and residual modules

Zhitao Xu Qixiang Huang Huankun Yang Lingxi Chen Yuzhe Xu Zhangliang Yao Ting Zhao

Crop Design2025，Vol.4Issue(4)：P.1-10,10.

Crop Design2025，Vol.4Issue(4)：P.1-10,10.DOI:10.1016/j.cropd.2025.100118

CropARNet:A deep learning framework for crop genomic prediction with attention and residual modules

Zhitao Xu ¹Qixiang Huang ¹Huankun Yang ¹Lingxi Chen ¹Yuzhe Xu ¹Zhangliang Yao ²Ting Zhao¹

作者信息

1. Zhejiang Provincial Key Laboratory of Crop Genetic Resources,Institute of Crop Science,Plant Precision Breeding Academy,College of Agriculture and Biotechnology,Zhejiang University,Hangzhou,310058,China
2. Institute of Eco-Environmental Sciences,Jiaxing Academy of Agricultural Sciences,Jiaxing,314016,China
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摘要

关键词

Crop/Genomic selection/Deep learning/Molecular breeding

分类

农业科技

引用本文复制引用

Zhitao Xu,Qixiang Huang,Huankun Yang,Lingxi Chen,Yuzhe Xu,Zhangliang Yao,Ting Zhao..CropARNet:A deep learning framework for crop genomic prediction with attention and residual modules[J].Crop Design,2025,4(4):P.1-10,10.

基金项目

supported by the Biological Breeding-National Science and Technology Major Project(2023ZD04076),China. （2023ZD04076）

Crop Design

ISSN：2772-8994

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